1
Section 1: Foundation of the Project
Background of the Problem
The aircraft manufacturing industry has been facing significant challenges due to
the impact of COVID-19 on the supply chain (Jomthanachai et al., 2022). As a result,
there is a greater need for effective strategies to deal with supply chain disruptions. This
study was conducted to analyze the most suitable strategies that aircraft manufacturers
can adopt to address these challenges. There is predicted to be a 5% annual increase in
demand for passenger travel over the next 20 years (Raj & Srivastava, 2018). To meet
this requirement, 56,000 new aircraft will be required by 2040 (Raj & Srivastava, 2018).
During the last 2 years, supply chain disruption caused by COVID-19 (Helper & Soltas,
2021), significant labor supply challenges, and the bullwhip effects of pull-forward ordering
and precautionary inventory buildup caused supply chains to be pushed to the brink,
revealing a complicated system that impacts everything from computer chips to toilet paper
(Morgan Stanley, 2022). These businesses were particularly vulnerable to production
disruptions due to shortages from partner companies’ inability to fulfill pre-pandemic
supply agreements, which led to profit losses and decreased market share. Organizations
must adapt to changing circumstances and develop effective strategies for their
operations. To adapt, leaders must understand how various factors affect their ability to
interpret and implement effective strategies. This study thus focused on the most suitable
strategies that aircraft manufacturers can adopt to address these challenges.
Business Problem Focus and Project Purpose
The specific business problem is that some supply chain leaders in the aircraft
2
manufacturing industry lack strategies to manage disruption in the supply chain process
to maximize organizational productivity. Therefore, the purpose of this qualitative
pragmatic inquiry study was to explore strategies aircraft manufacturing industry supply
chain leaders used to manage disruption in the supply chain process to maximize
organizational productivity. The targeted population consisted of supply chain leaders in
the aircraft manufacturing industry who worked with companies from South Carolina and
California that have implemented successful strategies to manage disruption in the supply
chain process to maximize organizational productivity. I used purposive sampling to
select six participants and obtained access to them through professional associations and
social networks. To collect the data, I used semistructured interviews and review of
publicly available documents about supply chain disruptions management. The
conceptual framework that grounded this study was the change management theory,
introduced by Lewin in 1951.
Research Question
What strategies do supply chain leaders in the aircraft manufacturing industry use
to manage disruption in the supply chain process to maximize organizational
productivity?
Assumptions and Limitations
Assumptions
An assumption is a fact that may or may not be accurate and treated as if it were
true, regardless of whether it is true (Jackson & Brown, 2021). In qualitative research,
ontological assumptions are implicit and unproven assumptions about the nature of
3
reality, such as whether the world is characterized by order or chaos (Hoijer, 2008).
According to Pearse (2021), qualitative researchers who adopt a deductive approach must
ensure that their ontological assumptions are consistent with the post-positivist research
paradigm. Researchers should collect and analyze their data meticulously by searching
for similarities across multiple perspectives and sources to attain coherence and precision
in their research. Pearse also noted the importance of maintaining this coherence between
their assumptions, methods, and paradigms to conduct effective qualitative research. The
two assumptions of this study were that the aircraft manufacturing leaders interviewed
have implemented strategies to manage disruption in the supply chain process to
maximize organizational productivity, and that they were open and honest while taking
part in the study.
Limitations
Limitations are conditions and conceivable weaknesses outside the researcher’s
control that limit the general discoveries (Goldberg & Allen, 2015). Qualitative research
limitations refer to the weaknesses within a study that could impact the outcomes and
conclusions of the research (Ross & Zaidi, 2019). By not reporting limitations or by only
reporting generic ones, researchers may miss out on opportunities to fully communicate
the significance of their work, demonstrate how their work adds value to a larger field of
study, and suggest areas for further investigation (Ross & Zaidi, 2019). This study was
limited by a focus on only U.S. aircraft manufacturing companies operating in the
domestic market. Moreover, it may not be possible to generalize the impediments that
exist across the industry; therefore, not all scenarios that an organization may experience
4
can be accounted for within this research. In addition, participants may have
preconceived biases that could affect the responses.
Transition
This section included the background of the problem, the business problem focus
and project purpose, the research question, and assumptions and limitations. Section 2
includes a review of the professional and academic literature related to the research study
problem and topic and the conceptual framework that serves as a lens for this study. I
begin the literature review by analyzing the problem utilizing the framework of
qualitative pragmatics underpinning the research topic and concluded by exploring the
foundational theory of change management. This provides a theoretical foundation for
subsequent analysis and interpretation. I examine case studies and scholarly articles that
addressed key themes, concepts, and variables related to the research area.
Section 3 includes the research project methodology and consists of components
outlining: project ethics; the nature of the project; population, sampling, and participants;
data collection activities, interview questions; data organization and analysis techniques;
and reliability and validity. Section 4 includes the findings and conclusions of the study,
business contributions and recommendations, implications for social change, and
recommendations for future research.
5
Section 2: The Literature Review
The purpose of this qualitative pragmatic study was to examine the strategies that
supply chain leaders in the aircraft manufacturing industry utilized to manage disruptions
and maximize organizational productivity. The topics covered in this study include: (a)
the discussion on supply disruption in the aircraft manufacturing industry, (b) cause for
supply chain disruptions, (c) factors impacting supply chain disruptions, (d) inventory
management strategies, (e) supplier relationship management, (f) technology adoption in
supply chain management, (g) strategies to mitigate disruption in the supply chain, (h)
sustainability in the supply chain industry, and (i) change management. The conceptual
framework grounding the study was Lewin’s change management theory.
The literary review material was gathered from the Walden Online University
Library research database, which included (a) Academic Search, (b) ProQuest Central, (c)
EBSCOhost, and (d) SciDirect. Literature was also gathered from government websites.
This research drew from diverse sources such as 99 journals, two government reports,
and five scholarly books, providing a comprehensive analysis of the challenges faced by
aircraft manufacturers. Of the 101 articles reviewed, 98 have been confirmed to be peer-
reviewed using Walden’s Ulrich database. Additionally, 85 of the 101 journals and books
used were published within 5 years of the anticipated completion of this study. This
extensive review emphasized the complexity and multifaceted nature of issues such as
supply chain disruptions, technological advancements, and established strategies. This
study highlighted viable strategies that aircraft manufacturers can adopt to enhance
efficiency, sustainability, and competitive advantage in an evolving industry.
6
A Review of the Professional and Academic Literature
Supply Chain Disruptions in the Aircraft Manufacturing Industry
Supply chain disruptions in the aircraft manufacturing industry pose significant
challenges to organizational productivity. Recently, the aircraft manufacturing industry
has faced production shortages due to unforeseen circumstances and disruptions caused
by the COVID-19 pandemic, further destabilizing the supply chain worldwide.
Researchers such as Barbosa et al. (2023) have studied how make-to-order supply chains
are used in the aerospace industry and the challenges associated with their smooth
operation. They noted that aircraft manufacturing supply chains are vital in creating
intricate, personalized, and highly profitable products that meet the needs of individual
customers. They also emphasized the importance of sustainability in the supply chain
process, which involves several material components.
Collaboration with supply chain partners is essential for businesses to prepare for
unexpected events and maintain continuity of operations. The importance of collaborative
resilience involves pooling resources, networking with supply chain partners, and
exploring new business opportunities (Ramanathan & Ramanathan, 2022). This
collaboration can help reduce the impact of significant disruptions, like the COVID-19
pandemic, and create joint initiatives that lead to better outcomes. Effective disruption
management is crucial for organizations operating in rapidly changing environments. It
ensures continuity and resilience in the face of unforeseen events. The significance of
disruption management lies in its ability to mitigate the adverse impacts of disruptions on
operations, supply chains, and overall business performance. This literature review
7
addresses various aspects of disruption management, including its conceptual foundations
and theoretical frameworks. It then discusses strategies and best practices for managing
disruptions, including risk identification, response planning, and recovery measures.
Additionally, the review emphasizes the role of technology and innovation in enhancing
disruption management capabilities. This review helps to comprehensively understand
effective disruption management practices and their implications for organizational
resilience and competitive advantage.
Cause for Supply Chain Disruptions
In the past, mass populations impacted by a single sickness could be isolated by a
region based on limited travel and individuals’ inability to cross the globe in a matter of
hours. However, with the advancement of travel and technology in the 21st century,
global phenomena like COVID-19 make the world population and business centers more
vulnerable to incidents that transpire in all corners of the globe. Research studies
indicated that the COVID-19 pandemic disrupted the global trade supply chain due to
unforeseen instability (Jomthanachai et al., 2022). Exporters and importers experienced
declining imports and exports in countries that relied on global trade. This happened
because the leading players in the global supply chain were interrupted. The crisis was
unique because it was global, spread quickly, and affected supply and demand
simultaneously (Kohl et al., 2019). Trade conflicts, health crises, container shortages, and
geopolitical tensions were all disruptive factors in the supply chain network operations
(Bygballe et al., 2022). The COVID-19 pandemic’s profound impact on global trade
supply chains is evident from the disruptions reported in recent research (Jomthanachai et
8
al., 2022). The interconnectedness of economies reliant on international trade led to
significant declines in imports and exports, highlighting vulnerabilities exposed by the
crisis (Kohl et al., 2019). The unprecedented scale and speed of the spread of the
pandemic underscored its unique global nature, affecting supply and demand dynamics
(Kohl et al., 2019). As scholars revealed, many disruptive factors, such as trade conflicts,
health crises, container shortages, and geopolitical tensions, further exacerbated
challenges within supply chain operations (Bygballe et al., 2022). Ultimately, the
COVID-19 pandemic unveiled the intricate vulnerabilities woven into today’s global
trade networks.
The impact on the global supply chain caused worldwide disruptions in the supply
of agriculture commodities, industrial commodities, and chips for technology industries.
These supply chain disruptions stemmed from many factors, ranging from currency
fluctuations to political instability and natural phenomena. The complex interplay of
global trade dynamics, banking systems, and social media influences underscores these
disruptions. Integral to this discussion is the pivotal role of airlines’ manufacturing
operations in crafting systems for fleet management throughout an aircraft’s lifecycle
(Schlegel, 2015). It is necessary to effectively navigate the intricate design and
manufacturing procedures, which generate substantial volumes of data, to optimize fleet
management processes (Singh et al., 2021). Addressing these challenges necessitates
adaptive strategies to mitigate risks and optimize supply chain resilience in an
increasingly interconnected global economy.
Digital twin technology has emerged as a transformative paradigm within the
9
aerospace industry, promising significant advancements in operational efficiency and
maintenance strategies. This technology involves creating virtual replicas of physical
assets, enabling real-time monitoring, predictive maintenance, and performance
optimization. As the aerospace sector grapples with increasing complexity and the
demand for enhanced reliability, digital twins offer a promising solution by integrating
data analytics, simulation capabilities, and IoT technologies. The potential of digital
twins to transform aircraft design, manufacturing, and operational processes will establish
a basis for more adaptable and resilient aerospace systems in the 21st century (Li et al.,
2021). The Digital Twin enables end-to-end communication between physical and virtual
spaces, making information management a critical activity for the DT development and
implementation (Singh et al., 2021). In navigating the complexities of global supply
chains, adopting such innovative technologies becomes imperative for fostering resilience
and sustainability. Organizations must proactively identify and mitigate potential
disruptions, ensuring continued operational excellence and long-term viability in a
rapidly evolving aerospace landscape.
Factors Impacting Supply Chain Disruptions
Organizations rely on adequately maintaining their supply chains to ensure a
competitive stance in the market; however, sustaining a viable posture is made more
difficult because markets are intertwined globally and increasingly dependent on each
other worldwide. Global supply chains face anticipated and unforeseen challenges that
jeopardize their profitability and continuity (Baryannis et al., 2019). Airbus and Boeing
are projected to retire 10,000-15,000 aircraft over the next 18 years, each requiring over
10
half a million components of various materials (Raj & Srivastava, 2018). While lean
management and just-in-time principles enhance efficiency (Baryannis et al., 2019), such
strategies heighten vulnerability to disruptions due to minimal margin for error (Snyder et
al., 2016). The vulnerability of the 2011 Japanese natural disaster underscores how
supply chain disruptions can devastate economies by impeding production and logistics
across multiple industries (Bygballe et al., 2022). The dynamic landscape of global
supply chains necessitates a balanced approach that integrates efficiency-enhancing
strategies like lean management with robust contingency plans to mitigate vulnerabilities
highlighted by researchers. The forthcoming retirement of thousands of aircraft (Raj &
Srivastava, 2018) underlines the critical need for meticulous component management to
sustain operational continuity. The lessons drawn from past natural disasters, such as the
2011 event in Japan, are stark reminders of the potential widespread impact of supply
chain disruptions on global economies and underscore the imperative for resilience and
adaptive strategies in supply chain management (Bygballe et al., 2022). In navigating the
complexities of global supply chains, adaptability and resilience are essential safeguards
against unforeseen disruptions and challenges.
Disruptions in the supply chain inherently exist when factors like natural disasters
are considered. However, the Resilinc Editorial Team (2023) report identified several
critical disruptions that impacted the sector in 2023, emphasizing the vulnerability of
global supply chains to various external shocks. These disruptions, ranging from
geopolitical tensions to natural disasters, have profound implications for manufacturing
timelines, cost structures, and overall operational continuity within the aerospace sector.
11
For instance, the Resilinc Editorial team noted that the scarcity of key raw materials due
to geopolitical tensions disrupted production schedules and increased procurement costs,
highlighting the intricate interdependencies within the industry. Geographical location
also plays a role in supply chain strategies, with multinational corporations focusing on
network coordination and reassessing their sourcing strategies (Huq et al., 2020). The
geographic location of supply chain distribution centers significantly influences
operational efficiency, cost-effectiveness, and responsiveness to market demands. The
significance of the geographic location of supplies within the supply chain is underscored
by the shift in prioritizing customer integration within supply chain strategy design,
which is essential for organizational advancement and financial performance (Burta,
2016). This integration demands significant investments in infrastructure and tailored
strategies to leverage its benefits. The imperative of technological innovation in
maintaining competitiveness within the aerospace industry is vital despite the sector’s
historically gradual progress since the advent of jet airliners six decades ago (Hickie &
Hickie, 2021). Understanding and addressing diverse causes of supply chain disruptions,
including natural disasters, is crucial for ensuring resilience and operational continuity in
the aerospace industry.
The aircraft industry has embraced technological advancements, significantly
improving supply chain agility and operational efficiency. The emergence of Industry 4.0
technologies has created new opportunities for accelerating product and process
innovations (Hickie & Hickie, 2019). Advanced data management in the aerospace sector
has enabled the creation of digital twins for aircraft, allowing for comprehensive tracking
12
throughout the aircraft’s lifecycle, from manufacturing to disposal (Nguyen et al., 2020).
Implementing a multi-echelon assembly supply chain (MEASC) can enhance supply
network resilience and minimize the impact of large-scale disruptions (Nguyen et al.,
2020). Additive manufacturing (AM) has also emerged as a promising solution for supply
chain shortages in the aviation industry, offering design flexibility, reduced waste, and
simplified supply chains. However, optimizing supplier selection, forming strategic
partnerships, and managing production and transportation quantities are important to
mitigate supply chain risks (Hu et al., 2023).
Adopting two-stage stochastic programming has emerged as a crucial approach in
mitigating supply disruption risks within complex manufacturing supply chains, such as
those in aircraft manufacturing (Hu et al., .2023). This methodology addresses the
inherent uncertainties and dynamics present in supply chains by incorporating decision-
making processes in two stages: first, in the initial design phase, where strategic decisions
are made regarding facility locations and capacities, and second, in the operational phase,
where tactical decisions are adapted based on real-time information and disruptions. It is
emphasized that this dual-stage approach allows decision-makers to optimize supply
chain designs under uncertainty, enabling proactive risk management strategies to be
integrated into the network design (Hu et al., 2023). The integration of these
advancements underscores the aerospace industry’s ongoing evolution towards resilience,
efficiency, and innovation in addressing supply chain challenges and maximizing
operational effectiveness.
13
Inventory Management Strategies
Effective inventory management is crucial in the aircraft manufacturing supply
chain industry to ensure seamless operations, minimize costs, and maintain optimal levels
of parts and components essential for production and maintenance. The COVID-19
pandemic has exposed the weaknesses of global supply chains, particularly in industries
such as aviation logistics that depend heavily on efficient inventory management (Helper
& Soltas, 2021). The pandemic has disrupted supply chains, highlighting the
unprecedented nature of the crisis and its multiple impacts on global trade and logistics
(Helper & Soltas, 2021). The disruptions in the manufacturing, transportation, and labor
markets have resulted in shortages and delays across supply chains. Enhancing inventory
management practices remains imperative in the aircraft manufacturing supply chain
industry to mitigate risks and ensure resilience in the face of global disruptions, as
underscored by insights from Helper and Soltas (2021) regarding the impacts and lessons
learned from the COVID-19 pandemic.
The supply chain make-to-order apparatus plays a pivotal role in the aircraft
manufacturing industry by optimizing production efficiency and customization
capabilities to meet specific customer demands while minimizing inventory holding costs
and enhancing overall supply chain flexibility. A hybrid simulation approach for
assessing sustainability performance in make-to-order supply chains was studied by
Barbosa et al. (2023). The concept focused on the commercial aircraft manufacturing
industry and attempted to identify methods for approaching preciseness in the order
process. The study combined simulation modeling with sustainability metrics to assess
14
inventory management strategies’ different environmental and economic impacts. By
integrating sustainability considerations into decision-making processes, they endeavored
to balance operational efficiency and environmental stewardship. Incorporating
sustainability metrics into make-to-order supply chains in the aircraft manufacturing
industry enhances operational efficiency and customization capabilities and fosters
environmental stewardship, as Barbosa et al. (2023) suggested through their hybrid
simulation approach and case study analysis. The model developed by Gallego-García et
al. (2021) has notable implications for the aircraft manufacturing industry, particularly in
enhancing sustainability performance. Incorporating such innovative maintenance and
spare parts distribution strategies can significantly improve supply chain efficiency and
sustainability (Barbosa et al., 2023). The innovative model for maintenance and spare
parts distribution, developed by Gallego-García et al. integrates scheduling and
distribution strategies to reduce aircraft downtime and operational costs while
optimization algorithms are employed to enhance resource allocation and maximize
aircraft utilization. Integrating advancements into make-to-order supply chains, as
exemplified by commercial aircraft manufacturers, can profoundly impact both economic
and environmental performance, underscoring the model’s potential to drive substantial
gains in industry-wide sustainability efforts (Barbosa et al., 2023).
The innovative model proposed by Gallego-García et al. (2021) significantly
enhances maintenance and spare parts distribution, which is critical for optimizing
aircraft efficiency. Their research introduces a comprehensive framework designed to
streamline inventory management and reduce downtime by integrating predictive
15
maintenance strategies with advanced distribution logistics. By leveraging data-driven
approaches, this model addresses key inefficiencies in traditional systems and contributes
to increased operational reliability and cost-effectiveness in the aerospace industry
(Gallego-García et al., 2021). This advancement represents a substantial improvement
over conventional methods, providing a robust solution for modern challenges in aircraft
maintenance and spare parts distribution (Gallego-García et al., 2021). This method and
make-to-order supply chain innovations revolutionized the impact of excess material
across the supply chain spectrum. The efficient capture, reallocation, and recycling of
spare parts are crucial in optimizing sustainability and resource efficiency within the
aircraft manufacturing industry supply chain.
Effective spare parts inventory control in aviation logistics is crucial for
optimizing maintenance operations, minimizing costs, and enhancing sustainability
within the aircraft manufacturing industry supply chain. The efficient capture,
reallocation, and recycling of spare parts play a crucial role in optimizing sustainability
and resource efficiency within the aircraft manufacturing industry supply chain, as noted
by Kenzhevayeva et al. (2021) through their focus on inventory control models that
endeavor to minimize costs and enhance maintenance reliability by optimizing inventory
levels and management practices. These advancements underscore the ongoing evolution
of the aircraft manufacturing industry towards sustainability and efficiency, as
demonstrated by studies on make-to-order supply chains (Barbosa et al., 2023) and spare
parts management (Kenzhevayeva et al., 2021). By integrating sustainability metrics and
innovative distribution models, such as those developed by Gallego-García et al. (2021),
16
the industry aims to significantly reduce operational costs and downtime while improving
overall resource utilization and environmental impact.
The benefits of resource utilization were exponentially improved with the
introduction of additive manufacturing. The impact of additive manufacturing on aircraft
supply chain performance using a system dynamics approach was examined by Ghadge
et al. (2018). The researchers found that the potential benefits of additive manufacturing
(AM) technologies reduced lead times and costs associated with spare parts production.
Additive manufacturing has revolutionized the aircraft manufacturing industry by
offering significant advantages in design flexibility, cost reduction, and efficiency
improvements. AM technologies encompass a variety of processes, including selective
laser sintering, fused deposition modeling, and stereolithography, each tailored to
produce parts with specific material properties and geometries critical for aerospace
applications (Najmon et al., 2019). These technologies enable the production of
lightweight yet robust components directly from digital designs, thereby reducing the
weight of aircraft and enhancing fuel efficiency—a crucial factor in aerospace
engineering. Moreover, AM allows for rapid prototyping and iterative design processes,
which are essential for optimizing aircraft performance and safety. By eliminating the
need for traditional tooling and machining, AM also reduces production lead times and
associated costs, making it particularly advantageous for producing low-volume or
custom parts with intricate geometries that are challenging or impossible to achieve with
conventional methods. This capability accelerates innovation cycles in aircraft design and
enhances aerospace manufacturers’ overall agility and responsiveness to market demands
17
and technological advancements (Najmon et al., 2019). In addition to manufacturing
benefits, AM supports sustainability initiatives within the aerospace sector by minimizing
material waste and energy consumption compared to traditional subtractive
manufacturing methods. As the technology continues to evolve, its integration into
mainstream production processes promises to further transform the aircraft
manufacturing industry, driving improvements in performance, reliability, and
environmental sustainability (Najmon et al., 2019). Additive manufacturing has
significantly enhanced resource utilization and supply chain performance in the aircraft
manufacturing industry, as demonstrated by Ghadge et al. (2018) and supported by
Najmon et al. (2019). AM has revolutionized aerospace manufacturing practices by
reducing lead times, costs, and material waste while improving design flexibility and
efficiency and paved the way for sustainable advancements in aircraft design and
production.
Blockchain technology offers transformative benefits to the aircraft
manufacturing industry, enhancing transparency, security, and efficiency across various
operational facets. The blockchain’s decentralized and immutable ledger system provides
a secure platform for recording and tracking transactions, ensuring the integrity and
authenticity of aircraft parts, maintenance records, and supply chain logistics data
(Ahmad et al., 2021). This capability is crucial in ensuring compliance with stringent
regulatory requirements and safety standards, reducing the risk of counterfeit parts, and
enhancing overall operational trustworthiness. Furthermore, blockchain facilitates
streamlined supply chain management by enabling real-time visibility and traceability of
18
aircraft components and materials throughout their lifecycle. The transparency and
audibility inherent in blockchain technology allow stakeholders to verify the provenance
and authenticity of parts, thereby mitigating risks associated with fraud, theft, or
unauthorized modifications. Blockchain can optimize inventory management, reduce
administrative overheads, and improve logistics efficiency by automating procurement,
quality control, and maintenance scheduling processes (Ahmad et al., 2021). These
advancements contribute to cost savings and enhance operational resilience and
responsiveness in the dynamic aerospace industry, ultimately improving aircraft
reliability and safety standards. By enabling real-time tracking of aircraft parts, Ho et al.
(2021) generated a blockchain-based system to improve the traceability and trackability
of aircraft parts for inventory management. Their goal was to reduce the risk of
counterfeit parts and enhance overall supply chain visibility. The system focused on
increasing transparency and accountability in the aviation supply chain. This innovation
in the aircraft manufacturing industry proved highly valuable for improving part visibility
as they move through the supply chain. Blockchain technology is a transformative force
in the aircraft manufacturing industry, offering unparalleled transparency, security, and
efficiency benefits across all operational fronts. It is a decentralized ledger system that
ensures the integrity and authenticity of crucial data related to aircraft parts, maintenance
records, and supply chain logistics, bolstering compliance with stringent regulatory
standards and reducing risks associated with counterfeit parts (Ahmad et al., 2021).
Moreover, blockchain enhances supply chain management by providing real-time
visibility and traceability of aircraft components throughout their lifecycle, optimizing
19
inventory management, and streamlining processes from procurement to maintenance
scheduling. These advancements drive cost efficiencies, reduce administrative burdens,
and elevate operational resilience and responsiveness within the aerospace sector,
ultimately enhancing aircraft reliability and safety standards. The blockchain-based
system developed by Ho et al. (2021) further underscores technology’s role in
revolutionizing inventory management by enhancing traceability and accountability
across the aviation supply chain, marking a pivotal advancement in ensuring the
transparency and authenticity of aircraft parts as they traverse through the manufacturing
and distribution processes.
Integrating the Internet of Things (IoT) in the aircraft manufacturing supply chain
substantially enhances efficiency and productivity. IoT technologies enable real-time
monitoring and data collection throughout production, from component manufacturing to
final assembly (Korchaign et al., 2019). This real-time data allows for proactive
maintenance scheduling based on actual component conditions, minimizing downtime
and optimizing resource utilization. Moreover, IoT sensors embedded in machinery and
equipment provide insights into operational performance metrics such as energy
consumption and production cycle times, facilitating leaner and more energy-efficient
manufacturing practices within the aviation industry. Furthermore, IoT-driven supply
chain solutions enhance visibility and transparency across complex manufacturing
networks. By leveraging IoT-enabled devices and platforms, stakeholders can track the
movement of parts and materials in real time, ensuring accurate inventory management
and timely delivery of components. This level of visibility reduces the risk of inventory
20
shortages and bottlenecks, streamlining logistics and improving overall supply chain
responsiveness. Additionally, IoT enhances quality control processes by continuously
monitoring production parameters and identifying deviations from set standards, enabling
prompt corrective actions to maintain product quality and regulatory compliance.
Adopting IoT technologies in aircraft manufacturing enhances operational efficiency and
strengthens the industry’s ability to meet stringent safety and performance standards. A
study by Keivanpour and Ait Kadi (2019) examined the influence of the IoT on managing
aircraft spare parts inventory. They found that IoT-enabled devices enhance the visibility
of inventory and the tracking of assets in the aviation industry. Integrating IoT sensors
with inventory management systems is designed to improve real-time monitoring and
predictive maintenance capabilities. Integrating IoT technologies in aircraft
manufacturing supply chains enhances operational efficiency, productivity, and
performance metrics. The implementation of IoT facilitates real-time monitoring and data
collection across all stages of production, enabling proactive maintenance scheduling and
optimizing resource utilization (Korchagin et al., (2019). This capability fosters leaner,
more energy-efficient manufacturing practices and enhances visibility and transparency
throughout complex supply chain networks. By leveraging IoT-enabled devices,
stakeholders can ensure accurate inventory management, mitigate risks of shortages, and
improve logistics efficiency. Moreover, IoT’s continuous monitoring capabilities bolster
quality control efforts, ensuring adherence to rigorous safety and regulatory standards in
aircraft manufacturing. The transformative impact of IoT in enhancing inventory
management and asset tracking further solidifies its role in driving efficiency gains and
21
operational excellence across the aviation industry (Kejvanpour & Kadi, 2019).
Integrating IoT in aircraft manufacturing supply chains enhances efficiency and
productivity and strengthens operational transparency and quality control, ensuring
adherence to stringent industry standards.
Numerous studies have addressed critical aspects of supply chain management in
the aircraft manufacturing industry. The following studies introduce varying methods to
assist organizations in proactively accessing inventory management protocols while
adapting new technologies to improve inventory management techniques.
The end-of-life Inventory: The first study of consideration addresses the end-of-
life inventory control of aircraft spare parts through performance-based logistics contracts
that aim to optimize inventory levels and minimize lifecycle costs by efficiently
managing obsolete and excess inventory (Hur et al., 2018). End-of-life inventory
management of aircraft spare parts is a critical aspect of performance-based logistics, as
explored by Hur et al. (2018). The researchers address the complex dynamics in
determining optimal inventory levels for spare parts nearing obsolescence or end-of-life
stages. Effective management of such inventory is essential to minimize costs associated
with holding obsolete parts while ensuring availability for maintenance and operational
needs. It is important to forecast demand patterns accurately and strategically plan for
part obsolescence, considering technological advancements and changes in operational
requirements (Hur et al., 2018). The researchers proposed a model that integrates
probabilistic forecasting, optimization algorithms, and risk management strategies to
enhance decision-making in end-of-life inventory control. The purpose of this approach is
22
to strike a balance between inventory costs and service level requirements, thereby
optimizing the overall performance and efficiency of logistics operations in the aerospace
industry. By implementing these advanced methodologies, organizations can effectively
manage end-of-life inventory, mitigate financial risks associated with obsolescence, and
ensure the timely availability of critical spare parts to support aircraft maintenance and
operational readiness.
Performance Assessment: The second study indicates that an aircraft
manufacturing firm’s sustainability performance assessment emphasizes environmental
and social impact indicators to integrate sustainability into decision-making processes
and enhance long-term viability (Raj & Srivastava, 2018). Rigorous assessment
frameworks enable companies to systematically measure their performance across
various dimensions, providing insights into areas where improvements can be made to
enhance overall sustainability outcomes (Raj & Srivastava, 2018). The significance of
sustainability performance assessment extends beyond compliance with regulatory
standards to encompass strategic advantages in competitive markets; they also
demonstrate strong sustainability performance, often enjoying enhanced brand reputation,
increased stakeholder trust, and improved long-term resilience. By benchmarking against
industry standards and best practices, companies can identify opportunities for innovation
and operational efficiencies that contribute to sustainability goals and financial
performance. This integrated approach aligns with global sustainability agendas and
positions aircraft manufacturing firms as responsible corporate citizens committed to
minimizing their environmental footprint while maximizing societal benefits.
23
Collaboration and Information Sharing: The third study addresses collaboration
and information sharing as part of the aircraft industry’s opportunities to improve
relationships with supply chain partners to mitigate disruptions and promote resilience
through enhanced trust and transparency (Smith et al., 2022). It emphasized that
transparent communication and mutual trust among partners enable proactive decision-
making and the implementation of contingency plans during disruptions. Moreover, the
research illustrates how shared knowledge, and resources can lead to more efficient
inventory management, reduced lead times, and improved customer satisfaction levels
within the aircraft manufacturing industry. By cultivating robust partnerships and sharing
real-time information, firms in the aerospace sector can enhance responsiveness and
agility, enabling quicker adaptation to unforeseen events. These collaborative efforts
streamline communication and coordination and facilitate joint problem-solving and risk-
management strategies that strengthen the overall resilience of supply chain networks
(Smith et al., 2022). By fostering a culture of collaboration and information exchange,
firms can build resilient supply chains capable of navigating the complexities and
uncertainties inherent in the global marketplace, ultimately enhancing their competitive
edge and sustainability in the long term.
Spare Part Management: The fourth study examines inventory management in
aviation, particularly concerning spare parts, which have been revolutionized by additive
manufacturing (AM), as explored by Togwe et al. (2019). AM enables on-demand
production of spare parts, potentially reducing the need for extensive inventory stockpiles
while ensuring parts availability for maintenance and operational needs. The inventory
24
model tailored for aviation integrates AM capabilities, aiming to optimize inventory
levels by balancing the costs of holding physical inventory against the flexibility and
responsiveness offered by AM technologies. By leveraging AM technologies,
organizations can significantly reduce lead times for spare parts provisioning, thereby
minimizing aircraft downtime and operational disruptions. Moreover, the flexibility
inherent in AM allows manufacturers to produce customized and complex parts on
demand, aligning inventory levels more closely with actual demand fluctuations. This
approach addresses the challenge of managing diverse and unpredictable demand patterns
and enhances the efficiency and cost-effectiveness of spare parts logistics within the
aviation sector. This inventory model for aviation spare parts in additive manufacturing
optimizes inventory levels to reduce reliance on traditional supply chains and improves
responsiveness and proven methods to create supply chain efficiencies (Togwe et al.,
2019). As aviation continues to evolve, integrating AM into spare parts inventory
management represents a promising avenue for improving operational efficiency and
maintaining competitive advantage in a dynamic industry landscape.
Multi-Agent Reinforcement Learning (MARL): The fifth and final study of
consideration is the multi-agent reinforcement learning approach used for supply chain
inventory management in civil aircraft manufacturing. Machine learning is leveraged to
adaptively optimize inventory policies and enhance supply chain performance in dynamic
and uncertain environments (Piao et al., 2023). MARL enables autonomous decision-
making by multiple agents within the supply chain network, optimizing inventory levels
and operational efficiencies in dynamic and uncertain environments. By learning from
25
interactions with the environment and other agents, MARL models can adapt strategies to
improve performance metrics such as inventory turnover, lead times, and service levels.
The study demonstrated that this approach facilitates real-time decision-making
capabilities that traditional inventory management methods may struggle to achieve,
particularly in complex manufacturing settings where demand patterns and supply
constraints fluctuate unpredictably. By leveraging MARL, organizations can achieve
adaptive inventory management strategies that respond to immediate operational needs,
anticipate future demand fluctuations, and proactively mitigate supply chain disruptions.
This advanced approach enhances efficiency and reduces costs associated with excess
inventory while improving overall customer satisfaction through timely product
availability. As machine learning continues to evolve, its integration into supply chain
management represents a promising frontier for optimizing resource allocation and
operational performance in the aerospace industry.
These studies underscored the multifaceted strategies and technological
advancements crucial for advancing efficiency, sustainability, and resilience in aircraft
manufacturing supply chains. These comprehensive studies also highlighted the diverse
approaches and technological innovations that are pivotal for advancing supply chain
management within the aircraft manufacturing industry. By addressing critical areas such
as end-of-life inventory control, sustainability performance assessment, collaboration and
information sharing, additive manufacturing integration, and adaptive inventory
management, researchers have contributed valuable insights into optimizing efficiency,
enhancing sustainability practices, and building resilience against disruptions. As the
26
industry evolves, integrating these findings into practical applications will be essential for
fostering robust and adaptive supply chains that can effectively navigate the complexities
and uncertainties inherent in global aerospace manufacturing.
Significant advancements and strategies mark the evolution of supply chain
management in aircraft manufacturing to enhance efficiency, sustainability, and
resilience. Studies have demonstrated the effectiveness of performance-based logistics
contracts in optimizing inventory levels and minimizing the lifecycle costs of aircraft
spare parts (Hur et al., 2018). Concurrently, sustainability performance assessments have
combined environmental and social considerations into decision-making processes to
ensure long-term viability (Raj & Srivastava, 2018). Collaboration among supply chain
partners has been pivotal in mitigating disruptions and fostering resilience through
enhanced trust and transparency (Smith et al., 2022). Innovations such as additive
manufacturing have revolutionized inventory management by reducing reliance on
traditional supply chains and improving responsiveness to maintenance needs (Togwe et
al., 2019). Furthermore, advancements in machine learning, as seen in multi-agent
reinforcement learning approaches, have enabled adaptive inventory management
strategies that enhance supply chain performance in dynamic environments (Piao et al.,
2023). These studies highlight the multifaceted strategies and technological innovations
crucial for navigating the complexities of global aerospace manufacturing supply chains.
By integrating these insights, the industry can continue to advance towards sustainable
practices and operational excellence, ensuring it remains resilient in the face of future
challenges and disruptions.
27
Supplier Relationship Management
The aerospace industry constantly evolves due to technological advancements,
global competition, and intricate supply chain networks. Effective collaboration, supply
chain management, and supplier relationships are essential to achieve efficiency and
innovation in this environment. The importance of demand-driven collaboration in the
aerospace industry in the context of Industry 4.0. is improved through subject-oriented
process management, which aligns processes with customer demands, allowing for agility
and responsiveness (Kazantsev et al., 2018). The challenges of managing a global supply
chain make achieving demand-driven collaboration complicated by geopolitical risks and
supply chain disruptions (Singh, 2020). In navigating these complexities, fostering
resilient supplier relationships and integrating advanced technologies will be crucial for
the future success of the aerospace industry.
Supplier relationships are pivotal in the aerospace industry, significantly
influencing operational performance and competitive advantage. The configuration of
these relationships can profoundly impact supplier performance (Schemelzle &
Mukandwal, 2023). Establishing strong, collaborative relationships between buyers and
suppliers enhances communication, trust, and mutual understanding, which are critical
for achieving operational efficiencies and innovation. In aerospace, where precision,
reliability, and adherence to strict regulatory standards are paramount, these relationships
can streamline production processes, reduce lead times, and improve supply chain
responsiveness. Effective management of supplier relationships plays a pivotal role in
enhancing resilience and mitigating risks within the aerospace supply chain. By fostering
28
long-term partnerships and aligning goals, aerospace firms can navigate uncertainties and
disruptions, ensuring continuity of supply and capitalizing on opportunities for
continuous improvement and adaptation to market demands. The strategic importance of
supplier relationship configurations in mitigating risks and enhancing resilience within
the aerospace supply chain is significant (Schmelzle & Mukandwal, 2023). Aerospace
firms can effectively navigate geopolitical uncertainties and supply chain disruptions by
fostering long-term partnerships and aligning goals and expectations. This proactive
approach ensures continuity of supply and enables firms to capitalize on opportunities for
continuous improvement and adaptation to evolving market demands. Therefore,
investing in robust supplier relationships strengthens operational capabilities and
positions aerospace companies to sustain competitive advantage in a dynamic global
market landscape.
Supplier relationships in the aircraft manufacturing industry are crucial for
ensuring the timely delivery of high-quality components and materials essential for
aircraft production. These relationships often involve long-term partnerships
characterized by trust, collaboration on innovation, and stringent quality assurance to
meet the industry’s exacting standards. Effectively managing supplier relationships can
significantly impact aerospace firms’ overall performance and competitiveness (Koblen
& Niznikova, 2013). These relationships extend beyond mere transactions to encompass
strategic partnerships that foster innovation, ensure quality, and maintain supply chain
resilience. In the aerospace sector, where precision, reliability, and safety are paramount,
suppliers often function as integral collaborators rather than mere providers of parts or
29
services. Establishing trust and cooperation with suppliers is essential for timely delivery
and cost-effectiveness, enabling technological advancements, and meeting stringent
regulatory requirements.
The aerospace industry’s reliance on complex and specialized components
necessitates long-term, collaborative relationships with suppliers to manage risks
effectively. Cultivating strong supplier relationships enables firms to mitigate supply
chain disruptions, enhance product development cycles, and adapt quickly to market
demands (Koblen & Niznikova, 2013). This strategic approach not only improves
operational efficiency but also enhances the overall agility of aerospace companies in
responding to dynamic market conditions and technological advancements. Therefore,
supplier relationship management is not merely a cost-saving measure but a strategic
imperative that can yield substantial competitive advantages in the highly demanding
aerospace sector (Koblen & Nizníková, 2013). In today’s aerospace industry, nurturing
robust supplier relationships is beneficial and pivotal for staying ahead in a rapidly
evolving market.
Establishing and maintaining strong partnerships with suppliers ensures timely
delivery of quality materials essential for aircraft production and maintenance. The
management of supplier relationships is critical in the aircraft industry, as Li (2018)
highlighted. The aircraft industry operates under stringent regulations and requires high
precision, reliability, and safety levels in its components and services. Establishing and
maintaining strong supplier relationships is essential for ensuring the timely delivery of
quality materials and components, which are vital for the production and maintenance of
30
aircraft. Li emphasizes that collaborative partnerships with suppliers go beyond
transactional exchanges to foster innovation and continuous improvement in product
development and manufacturing processes. Such relationships enable aircraft
manufacturers to enhance competitiveness by integrating suppliers into their strategic
planning and ensuring alignment with industry standards and customer expectations.
In the context of the aircraft industry, supplier relationships play a crucial role in
managing supply chain risks and disruptions. The close collaboration with suppliers helps
mitigate uncertainties in supply and demand fluctuations, improving operational
resilience (Li, 2018). By developing trust and transparency with suppliers, aircraft
manufacturers can streamline supply chain operations, reduce costs, and enhance
efficiency. This strategic approach supports the industry’s complex and specialized
requirements and facilitates adaptation to technological advancements and regulatory
changes. Therefore, investing in effective supplier relationship management is pivotal for
sustaining long-term success and competitiveness in the aircraft industry (Li, 2018).
Effective supplier relationships are pivotal in the aircraft industry for mitigating risks,
enhancing operational resilience, and ensuring long-term competitiveness through
streamlined supply chain operations and cost reductions.
Supplier relationship management (SRM) is crucial in enhancing collaboration
and driving operational efficiency within supply chains, particularly in aerospace-related
industries. Effective SRM involves nurturing collaborative partnerships with suppliers to
unlock value throughout the supply base (O’Brien, 2022). This approach goes beyond
traditional transactional interactions, focusing instead on fostering trust, transparency,
31
and mutual benefit between buyers and suppliers. O’Brien emphasized that organizations
could leverage supplier expertise and capabilities by strategically managing supplier
relationships to drive innovation, improve product quality, and enhance operational
efficiency. Moreover, strong SRM practices enable companies to mitigate risks, reduce
costs, and ensure the reliability of supply chains, ultimately contributing to overall
business resilience and competitive advantage in dynamic market environments (O’Brien,
2022). The significance of buyer-supplier management within the aerospace value chain
highlights its critical role in fostering competitive advantage and operational efficiency
(Graham & Ahmed, 2000). The importance of strategic supplier relationships and
enhancing collaboration, innovation, and overall supply chain performance are proven
strategies to improve organizational sustainability. Within the aerospace industry, where
precision and reliability are paramount, effective management of supplier relationships
ensures the timely delivery of high-quality components and services, which is critical for
maintaining safety standards and meeting stringent regulatory requirements. Graham and
Ahmed (2000) argue that aerospace companies can significantly improve cost-
effectiveness and product development cycles by integrating suppliers into strategic
planning processes and aligning goals and expectations. Thus, cultivating strong and
collaborative relationships with suppliers is essential for operational success and
sustaining long-term competitiveness in the aerospace sector (Graham & Ahmed, 2000).
Supplier relationship management (SRM) in supply chains fosters collaboration and
innovation, driving operational efficiency and competitive advantage in aerospace-related
industries.
32
Effective supplier relationship management (SRM) is critical in the aerospace
industry for fostering collaboration, enhancing operational efficiency, and maintaining
competitive advantage. Strategic partnerships with suppliers facilitate streamlined supply
chain operations, cost reductions, and timely delivery of high-quality components, which
are crucial for meeting stringent regulatory standards and ensuring aircraft safety and
reliability. By nurturing trust, transparency, and mutual benefit, aerospace firms can
leverage supplier expertise to drive innovation and improve product development cycles.
This proactive approach enhances supply chain resilience against disruptions and
positions companies to adapt swiftly to market dynamics and technological
advancements, sustaining long-term competitiveness in the aerospace sector.
Supplier relationship development in the aerospace industry fosters collaborative
partnerships that extend beyond transactional interactions to co-create solutions. Supplier
relationship development within the aerospace industry can be developed through a phase
model for solution relationship development (Ferreira et al., 2017). The evolving nature
of supplier relationships, moving beyond transactional interactions to collaborative
partnerships, is an instrument used for co-creating solutions (Ferreira et al., 2017).
Fostering such relationships is crucial in the aerospace sector, characterized by stringent
quality standards and complex technological requirements. The phase model proposed by
Ferreira et al. outlines sequential stages from initial engagement to deep collaboration,
highlighting the importance of trust, mutual understanding, and shared goals between
buyers and suppliers. This approach enhances operational efficiency and cost-
effectiveness and promotes innovation and responsiveness to market changes. By
33
integrating suppliers into strategic decision-making processes and aligning their
capabilities with organizational objectives, aerospace companies can leverage supplier
expertise to improve product development cycles and maintain competitive advantage.
Developing effective supplier relationships is crucial for enhancing the resilience
and performance of aerospace supply chains. Effective supplier relationship development
contributes to the resilience of aerospace supply chains (Ferreira et al., 2017). Close
collaboration enables firms to mitigate risks associated with supply disruptions and
regulatory challenges, enhancing overall supply chain performance (Ferreira et al., 2017).
By nurturing long-term partnerships based on transparency and continuous improvement,
aerospace manufacturers can ensure a reliable supply of critical components and services.
This strategic approach supports operational excellence and facilitates adaptation to
technological advancements and market demands. Thus, investing in structured and
phased supplier relationship development, as proposed by Ferreira et al., is essential for
aerospace firms seeking to sustain long-term competitiveness and innovation in a
dynamic global marketplace.
The aerospace industry faces continual evolution driven by technological
advancements, global competition, and intricate supply chain dynamics. Achieving
efficiency and innovation hinges on effective collaboration, supply chain management,
and robust supplier relationships (Kazantsev et al., 2018; Singh, 2020). Kazantsev et al.
emphasize the importance of demand-driven collaboration facilitated by subject-oriented
process management within Industry 4.0, which aligns processes with customer demands,
fostering agility and responsiveness. However, managing a global supply chain amidst
34
geopolitical risks and disruptions complicates achieving such collaboration (Singh,
2020). Nevertheless, strategic supplier relationship configurations are pivotal. Studies by
Schmelzle and Mukandwal (2023) and Graham and Ahmed (2000) underscored that
optimizing these relationships can significantly enhance supplier performance, streamline
production processes, and improve supply chain resilience. Integrating suppliers into
strategic decision-making processes and aligning goals ensures that aerospace firms meet
regulatory standards and capitalize on opportunities for continuous improvement and
market adaptation, securing long-term competitiveness and growth in a dynamic global
environment.
Technology Adoption in Supply Chain Management
Because of technological advancements, supply chain management has undergone
significant changes. For instance, more and more organizations are adopting Business
Intelligence (BI) in supply chain management. BI is crucial for increasing supply chain
efficiency (Jalil et al., 2019). BI provides real-time insights into supply chain operations,
which leads to better decision-making. However, there are challenges in integrating
information technology, including BI tools, within the aviation industry. Technology
advancements have significantly transformed the aircraft manufacturing industry in
recent years, enhancing efficiency and collaboration across the supply chain. These tools
have streamlined procurement, inventory management, and logistics processes, reducing
lead times and operational costs. Moreover, advancements in digital design and
simulation technology have enabled manufacturers to accelerate prototyping and
optimize aircraft performance through virtual testing and modeling. Such innovations
35
underscore a paradigm shift towards integrated and interconnected systems that foster
agility and innovation in aircraft manufacturing, ultimately driving competitiveness in the
global market (Nucciarelli & Gastaldi, 2008). Technological advancements have
revolutionized supply chain management, with increasing adoption of Business
Intelligence (BI) tools providing real-time insights for improved decision-making
efficiency. However, integrating BI and other information technologies in the aviation
industry poses challenges despite their potential to streamline operations and reduce
costs.
Innovations such as blockchain technology have significantly influenced
advancements in the aircraft manufacturing industry. Organizations use blockchain
technology to improve supply chain management and promote sustainability (Saberi et
al., 2019). Recent advancements in the aircraft manufacturing industry have seen the
integration of cutting-edge technologies, including blockchain, which has revolutionized
supply chain management practices. In aircraft manufacturing, blockchain enables secure
and immutable record-keeping of transactions and product histories across the supply
network (Saberi et al., 2019). This capability ensures the authenticity of parts and
materials, mitigates the risk of counterfeiting, and improves overall supply chain
resilience. By leveraging blockchain, manufacturers can achieve greater visibility into
supplier performance and compliance with regulatory standards, fostering a more
sustainable and accountable manufacturing ecosystem. These advancements underscore
blockchain’s potential to redefine supply chain operations in the aerospace sector,
promoting reliability and operational efficiency (Saberi et al., 2019). Researchers found
36
evidence in the airport industry that indicated that while blockchain can benefit
sustainable performance, its implementation may face scalability, interoperability, and
regulatory compliance challenges (Di Vaio & Varriale, 2020). Blockchain has emerged
as a transformative tool in supply chain management, particularly within the airport
industry, where its application has enhanced transparency, efficiency, and sustainability.
By providing a decentralized and secure platform for recording and verifying
transactions, blockchain ensures the integrity of data related to the procurement and
distribution of materials and components. This technology enables real-time supply chain
monitoring, reduces administrative overhead, and mitigates risks associated with
counterfeit parts and logistical errors. In aircraft manufacturing, blockchain facilitates
seamless collaboration among stakeholders, improves traceability of components
throughout their lifecycle, and supports compliance with stringent regulatory
requirements. These advancements underscore blockchain’s potential to revolutionize
supply chain practices in the aerospace sector, driving operational excellence and
environmental stewardship (Di Vaio & Varriale, 2020). Blockchain technology has
significantly influenced advancements in the aircraft manufacturing industry by
enhancing supply chain management through improved transparency, traceability, and
efficiency while promoting sustainability and reliability.
Recent advancements in the aircraft industry have been significantly influenced
by additive manufacturing technology, particularly in the application of spare parts, as
noted by (Mecheter et al., 2022). Additive manufacturing, also known as 3D printing, has
revolutionized supply chain management by enabling on-demand production of complex
37
components with reduced lead times and costs. This technology allows manufacturers to
produce spare parts locally and in a decentralized manner, minimizing the need for
extensive warehousing and logistics. Moreover, 3D printing facilitates rapid prototyping
and customization of parts, which is crucial in the aerospace sector, where stringent
safety and performance standards must be met. By integrating additive manufacturing
into their operations, aircraft manufacturers can enhance flexibility, resilience, and
sustainability within their supply chains. These advancements underscore additive
manufacturing’s potential to streamline aircraft maintenance and improve overall
operational efficiency (Mecheter et al., 2022). Conversely, the introduction of a
framework for technology diffusion in the aircraft manufacturing industry suggested that
although AM has several benefits, its widespread adoption may be hindered by
technology readiness and regulatory constraints (Rasheed & Manarvi, 2008). In aircraft
manufacturing, technological readiness and regulatory constraints present significant
hurdles to adopting and diffusing new technologies. Advancements in technology offer
potential benefits such as enhanced efficiency and improved product quality. However,
their integration into existing manufacturing processes can be impeded by technological
readiness gaps and stringent regulatory requirements (Rasheed & Manarvi, 2008).
Technological readiness refers to the industry’s preparedness to absorb and effectively
utilize new technologies, which can be hindered by high implementation costs, limited
infrastructure, and the need for specialized skills. Moreover, regulatory constraints,
including safety standards and certification procedures mandated by aviation authorities,
can delay or restrict the deployment of innovative technologies. These barriers
38
underscore the complexity of technological diffusion in the aircraft manufacturing
industry, requiring strategic alignment between technological advancements,
organizational capabilities, and regulatory compliance to successfully navigate toward
enhanced operational performance and competitiveness (Rasheed & Manarvi, 2008).
Recent advancements in the aircraft industry have been driven by additive manufacturing
technology, particularly in producing spare parts, which enhances supply chain efficiency
and reduces logistical complexities, thereby potentially improving overall operational
efficiency.
Digital supply chain management represents a transformative approach to
enhancing supply chain efficiency and responsiveness by integrating digital technologies.
By leveraging technologies such as the Internet of Things (IoT), big data analytics,
artificial intelligence (AI), and blockchain, digital supply chain management enables real-
time visibility and predictive insights into supply chain operations (Agrawal & Narain,
2018). These technologies facilitate improved demand forecasting, inventory
optimization, and logistics planning, reducing lead times, minimizing costs, and
enhancing overall operational agility. Furthermore, digital supply chain management
fosters collaboration and transparency across supply chain partners, enabling faster
decision-making and proactive risk management strategies. Adopting digital technologies
in supply chain management enhances operational efficiency and positions organizations
to adapt swiftly to market changes and customer demands in a competitive landscape.
However, there are challenges associated with implementing IoT in supply chain
management, especially in the early stages of Industry 4.0 (De Vass et al., 2021). The
39
implications are that businesses need to address issues related to data security,
interoperability, and skill gaps. Implementing IoT technologies in supply chain
management represents a significant advancement in the era of Industry 4.0. IoT offers
substantial opportunities for enhancing supply chain efficiency through real-time
monitoring and data-driven decision-making capabilities (DeVass et al., 2021). IoT
devices embedded within supply chain processes enable continuous tracking and
monitoring of assets, inventory, and environmental conditions. This real-time visibility
improves inventory management and asset utilization and enhances predictive
maintenance capabilities, reducing downtime and optimizing operational performance.
Moreover, IoT facilitates seamless communication and collaboration among supply chain
partners, leading to improved responsiveness to customer demands and supply chain
disruptions. However, implementing IoT in supply chains also presents challenges such
as data security, interoperability issues, and the need for a skilled workforce adept at
managing IoT-enabled systems. Despite these challenges, the integration of IoT holds
promise for revolutionizing supply chain management by enabling proactive decision-
making and fostering greater operational efficiency in dynamic business environments.
In the aerospace industry, technology competencies are essential for leveraging
advanced tools and systems to optimize design, prototyping, and automation processes,
thereby enhancing operational efficiency and competitiveness. The impact of technology
competencies and supply chain technology on supply chain performance in the
Indonesian textile sector revealed several factors (Riyadi, 2020). Technology
competencies play a crucial role in the efficiency and performance of aircraft
40
manufacturing. These competencies encompass the knowledge, skills, and capabilities
necessary for utilizing and integrating advanced technologies throughout the supply
chain. In the context of the aerospace industry, technology competencies enable
manufacturers to leverage cutting-edge tools and systems for tasks such as design
optimization, prototyping, and production process automation. By enhancing
competencies in digital manufacturing, simulation technologies, and advanced materials,
aircraft manufacturers can achieve greater precision, reliability, and cost-effectiveness.
Moreover, technology competencies facilitate seamless integration with supply chain
management and total quality management practices, improving overall supply chain
performance and competitiveness in the global market (Riyadi, 2020). A comparative
study by Nazeer et al. (2024) conducted an empirical investigation into the impact of
adaptability, alignment, and agility approaches on the sustainable performance of the
aviation industry from a supply chain perspective. It boasts the importance of strategic
approaches in enhancing the industry’s ability to respond effectively to dynamic market
conditions and regulatory requirements. Adaptability allows aviation supply chains to
adjust quickly to changes in demand, technological advancements, and environmental
regulations. Alignment ensures coherence between organizational goals and supply chain
strategies, optimizing resource allocation and enhancing stakeholder collaboration.
Agility enables swift responses to disruptions and uncertainties, improving operational
resilience and customer satisfaction. Aviation companies can achieve sustainable
performance outcomes by integrating adaptability, alignment, and agility into their supply
chain strategies, including reduced costs, improved efficiency, and enhanced
41
environmental stewardship (Nazeer et al., 2024). Technology competencies are crucial
for enhancing efficiency and performance in aircraft manufacturing, enabling the
utilization of advanced tools and systems for design optimization, prototyping, and
automation while integrating seamlessly with supply chain and quality management
practices to enhance competitiveness.
Technology competencies are critical in enhancing efficiency and performance
across supply chains, particularly in sectors like aircraft manufacturing. These
competencies encompass essential knowledge and skills to effectively utilize advanced
technologies such as digital manufacturing and simulation tools. By integrating these
competencies, manufacturers can optimize design, prototyping, and production
automation, improving precision, reliability, and cost-effectiveness. Furthermore, these
capabilities enable seamless integration with supply chain and quality management
practices, boosting overall performance and competitiveness in global markets.
Adaptability, alignment, and agility are significant in promoting sustainable performance
within the aviation industry’s supply chain (Nazeer et al., 2024). Adaptability allows for
swift adjustments to market changes and regulatory requirements, while alignment
ensures strategic coherence and stakeholder collaboration. Agility enables quick
responses to disruptions, enhancing operational resilience and customer satisfaction.
Together, these strategic approaches help aviation companies achieve sustainable
outcomes such as cost reduction, efficiency improvement, and enhanced environmental
stewardship, bolstering their competitive edge in the industry.
Technological advancements have revolutionized supply chain management
42
practices, particularly by adopting BI tools that offer real-time insights and enhance
decision-making efficiency. Despite their potential benefits, integrating BI and other
information technologies into industries like aviation presents challenges due to specific
operational complexities and regulatory requirements. Furthermore, innovations such as
blockchain technology have further transformed the aerospace sector by ensuring
transparency, traceability, and efficiency within supply chains. These advancements
underscore the industry’s shift towards integrated systems that promote global agility,
innovation, and competitiveness. However, alongside these benefits, the implementation
of technologies like IoT in supply chain management introduces complexities related to
data security, interoperability, and workforce skills, necessitating strategic approaches to
leverage their full potential in enhancing operational efficiency and responsiveness to
market dynamics (Agrawal & Narain, 2018; De Vass et al., 2021). As industries embrace
cutting-edge technologies to streamline operations, navigating the complexities and
maximizing the potential benefits remain a strategic imperative for sustained
competitiveness.
Strategies to Mitigate Disruption in the Supply Chain
Creating effective measures to handle supply chain disruptions is a responsibility
that extends beyond the leadership at one level of an organization. Strategy development
cannot be limited to top-level managers alone. The inadequacy of limiting strategy
development solely to top-level managers, who formulate corporate strategies typically
executed by operational-level managers (Braun, 2015). However, this approach often
disregards the daily responsibilities of operational managers. The significance of
43
resources in formulating strategies to mitigate supply chain disruptions highlights the
crucial role of resource interaction across organizational boundaries and inter-
organizational relationships (Bygballe et al., 2022). Strategic partnerships, shared goals,
and synchronized planning are necessary to foster integrated and collaborative supply
chains (De Castro Oliveira & Defreitas Pedroso Gonzalez, 2022). This integration is
facilitated by sharing critical information among business partners and adopting
technologies promoting process automation, which is a vital component of operational
coordination. Managing supply chain disruptions requires collaboration across
organizational levels, integrating insights from operational managers with top-level
strategies to ensure coordinated responses and enhance inter-organizational relationships.
Supply chain leaders are increasingly encouraged to embrace change and
innovation by adopting circular economies, which seek to integrate sustainable practices
and regenerative systems into core supply chain management strategies. The concept of
supply chain leaders embracing change and innovation by adopting circular economies is
championed by Hazen et al. (2021). Their approach involves reconfiguring core supply
chain management strategies and integrating them with a circular economy regenerative
system. The aim is to minimize resource input, waste, emissions, and energy leakage by
slowing, closing, and narrowing material and energy loops. By doing so, supply chain
management can create a more efficient process. Managing risk perceptions varies not
only among companies but also between managing divisions within a company, which
necessitates possible changes in strategy due to environmental turbulence (Sato et al.,
2020). Managers play a crucial role in successfully transitioning a firm’s technological
44
system through their capacity to build and leverage linkages in cross-organizational units
(Souza-Luz & Gavronski, 2020). Such links provide access to those cross-organizational
units’ complementary assets to explore new and old core technologies.
Recent studies concerning two-stage stochastic programming introduce
innovative strategies to optimize supply chain operations amidst disruptions and enhance
cost efficiencies through advanced modeling techniques and digital transformation
initiatives (Hu et al., 2023; Shan et al., 2021). The two-stage stochastic programming
model is introduced to minimize costs associated with establishing business relations
with upstream supply enterprises, production, inventory, transportation, and penalty costs
for unsatisfied demand in the event of supply chain disruption risk (Hu et al., 2023).
Airframe structures are assembled from multiple component modules manufactured
separately and simultaneously by numerous upstream supply enterprises. To address
supply disruption risks during the supply chain development and manufacturing process,
Hu et al. suggested using a two-stage stochastic programming model to characterize the
disruption risks by probabilistic scenarios of uncertain events inducing disruptions.
Another approach to cutting costs is associated with how supply chains are undergoing a
digital transformation to improve communication with stakeholders and the help of
artificial intelligence and cloud computing (Shan et al., 2021). Digital transformation is
the changes that occur within a system due to technological advancements (Shan et al.,
2021). These approaches to risk mitigation emphasized the importance of taking a
systems approach to digital transformation, which involves recognizing the
interconnectedness of subsystems within a more extensive system. By monitoring
45
processes with sensors and storing data in digital databases, the virtual structure of the
digital supply chain can optimize operations and reduce expenses.
While heuristic algorithms offer efficient solutions within a reasonable timeframe,
an enhanced Benders decomposition algorithm combined with Pareto cut and Local
branch heuristics to address large-scale instances, balancing computational efficiency and
solution quality is thought to create cost-effectiveness in the process (Hu et al., 2023).
This approach is particularly crucial in airframe structure manufacturing supply chains,
which Hue et al. (2023) suggested are especially vulnerable to disruptions with
significant potential losses. A framework for the Shanghai Aircraft Manufacturing
Company underscored the necessity of proactive measures to address unforeseen changes
(Shan et al., 2021). Therefore, considering the risks of supply disruptions in the airframe
structure supply chain, developing a scenario-based stochastic programming model
becomes imperative to manage uncertainties effectively. To improve response time and
flexibility for industry players, it is recommended to use a rapid response facility
incorporating various communication channels to identify abnormal situations and
initiate appropriate actions swiftly (Shan et al., 2021). This approach fosters enhanced
coordination within the production system, facilitating knowledge sharing and efficient
problem resolution and reducing waiting and processing times. Their conceptual
framework encompasses twelve essential components, including alarming systems and
coordination processing centers, to establish pre-determined responses to unforeseen
disruptions. A response model can aid aircraft manufacturing leadership in strategic
decision-making and organizational design to mitigate operational risks, providing a
46
structured decision matrix for informed responses to challenges (Hue et al., 2023). In
addressing the complexities of airframe structure manufacturing, adopting proactive
strategies and responsive frameworks is essential for navigating the challenges posed by
supply disruptions and ensuring sustained operational efficiency.
The Design Structure Matrix (DSM) is a pivotal tool in the aircraft manufacturing
industry, revolutionizing how complex systems are organized and integrated, enhancing
efficiency and reducing time-to-market. Introducing an innovative approach to aircraft
manufacturers’ supply chain management through a DSM offers a graphical
representation that facilitates in-depth analyses (Son et al., 2019). DSM enables
specialized analysis methods, including graph theory and matrix mathematics, to identify
various system interactions effectively. In Addition to DSM, Son et al. (2019)
recommended a comprehensive model framework integrating the supply chain operations
reference (SCOR) model, a strategic management tool addressing supply chain decisions
and incorporating business concepts like process reengineering and benchmarking. In
contrast, Shan et al. (2021) and Hu et al. (2023) employed artificial intelligence (AI) in
their frameworks, aiming to systematically model supply chain interfaces, identify high-
impact areas, and propose corrective measures to enhance overall performance. These
approaches hold significant implications for the aircraft industry, promising operational
and supply chain efficiencies through structured frameworks tailored to its specific needs.
These advancements underscore the transformative potential of DSM in optimizing
aircraft manufacturing processes, promising enhanced operational efficiencies and
strategic supply chain management. By integrating diverse analytical methods and
47
strategic frameworks, manufacturers can effectively navigate complexities and drive
continuous improvement in their operations.
In addressing the multifaceted challenges of supply chain management, it
becomes evident that effective strategies must encompass collaboration across
organizational levels and incorporate innovative frameworks such as digital
transformation and advanced modeling techniques. These approaches, highlighted by
recent studies (Hu et al., 2023; Shan et al., 2021), emphasize the industry’s shift toward
proactive risk mitigation and operational optimization. By integrating heuristic
algorithms, benders decomposition, and scenario-based stochastic programming models,
manufacturers can enhance responsiveness and resilience in airframe structure
manufacturing supply chains, ensuring sustained efficiency and competitiveness in a
dynamic global market landscape.
Sustainability in the Supply Chain Industry
The aircraft manufacturing industry is pivotal in the broader supply chain, making
its operational efficiency crucial for overall effectiveness. Therefore, emphasizing
sustainability within this sector is paramount. The decision to adopt sustainable practices
in response to environmental changes is heavily influenced by innovation, strategic
flexibility, and human resource development (Kafetzopoulos, 2023). Drawing from
studies by Bhatia and Kumar (2022) and Jansen et al. (2006), Kafetzopoulos stressed the
significance of external factors like market dynamics and technological advancements in
shaping company strategies. Moreover, the research explored environmental and
organizational elements, including innovation processes, strategic flexibility, and human
48
capital. Bhatia and Kumar investigated the interplay between stakeholder and competitive
pressures in the context of Industry 4.0, emphasizing their impact on organizational
performance through the mediating roles of environmental commitment and green
process innovation. Their study reveals that heightened stakeholder expectations and
competitive dynamics drive firms to adopt Industry 4.0 technologies, which in turn
enhances performance by fostering innovative green practices and reinforcing
environmental commitments. This research underscores the importance of integrating
sustainability into strategic frameworks, suggesting that firms responsive to both internal
and external pressures are better positioned to leverage technological advancements for
competitive advantage (Bhatia & Kumar, 2022). The findings contribute to the literature
on sustainable business practices, highlighting the critical role of environmental
considerations in adopting advanced manufacturing technologies. Jansen et al. explore
the relationship between exploratory and exploitative innovation and its impact on
organizational performance, emphasizing the role of organizational antecedents and
environmental moderators. Their research indicates that both types of innovation are
crucial for sustained competitive advantage; however, the effectiveness of each is
contingent upon various organizational factors, such as structure and culture, as well as
external environmental conditions. The study finds that a balanced approach to
innovation, where organizations simultaneously pursue exploration and exploitation,
leads to superior performance outcomes. Additionally, the authors highlight that
supportive leadership, and a flexible organizational climate enhance the ability to engage
in both forms of innovation, further underscoring the complexity of managing innovation
49
in dynamic environments (Jansen et al., 2006). This research contributes to understanding
how different innovation strategies can be effectively integrated within organizations to
adapt to changing market conditions. Kafetzopoulos stated that companies can drive
organizational change and develop sustainable offerings by enabling flexible resource
allocation and adapting operational structures and processes, leading to reduced energy
consumption and waste generation. Additionally, the study highlights how strategic
flexibility can enhance overall organizational performance. Incorporating sustainable
practices enhances operational efficiency in the aircraft manufacturing industry and
fosters resilience and strategic alignment amidst evolving environmental and market
dynamics.
The aircraft manufacturing industry’s commitment to sustainability is integral to
enhancing its operational efficiency and overall performance. The previously referenced
research underscores that it is imperative for organizations to navigate both internal and
external pressures, such as stakeholder expectations, market dynamics, and technological
advancements, to implement sustainable practices effectively. As evidenced by the works
of Bhatia and Kumar (2022) and Jansen et al. (2006), the dual focus on exploratory and
exploitative innovation, combined with strategic flexibility and robust human resource
development, creates a comprehensive framework for organizations aiming to thrive in a
rapidly changing environment. By fostering an adaptive culture and embracing
innovation, companies can respond to environmental challenges and seize opportunities
for growth and differentiation. Ultimately, prioritizing sustainability in the aircraft
manufacturing sector is not merely a response to regulatory demands; it is a strategic
50
imperative that can lead to enhanced resilience, competitive advantage, and long-term
viability in an increasingly eco-conscious marketplace.
The significance of small and medium-sized organizations embracing
sustainability through innovation is to introduce the green innovations (GI) framework to
drive this transformation (Castellano et al., 2022). This framework focused on resource
conservation, pollution reduction, waste minimization, and enhanced working conditions,
enabling organizations to align with stakeholder expectations, differentiate themselves
from competitors, and foster innovation. Experience, internationalization, and community
emerge as primary influencers of GI adoption, while organizational size and sectoral
localization have a comparatively lower impact. Highlighting the intensifying
international competition, Castellano et al. stressed the imperative of integrating
sustainable development into innovative processes to maintain competitiveness while
contributing to a sustainable future. In a related context, the need for a comprehensive
approach to corporate sustainability practices, encompassing economic, environmental,
and social dimensions, is paramount amongst organizations seeking sustainable
organization practices in pursuit of benefits across economics, society, and the
environment—the triple bottom line (Maletic et al., 2016; Milstein, 2003). By embracing
sustainability through innovation, small and medium-sized organizations not only meet
stakeholder expectations and foster innovation but also position themselves competitively
in a global market increasingly focused on environmental responsibility and social
impact.
In exploring the intersection of innovation, sustainability, and organizational
51
performance, it becomes evident that integrating these elements is crucial for long-term
competitiveness and success in today’s global markets. The empirical evidence
supporting the benefits of implementing sustainability-oriented innovation practices
within organizations is examined by (Maletic et al., 2016). In examining additive
manufacturing’s future, Maletic et al. found that integrating sustainability into products
and processes enhances organizational performance, stressing the importance of
innovation-oriented competencies. Achieving competitiveness and sustainability
necessitates a delicate balance between economic demands from global markets and
social considerations rooted in national history and values (Lagumdzja et al., 2019). The
researchers noted that innovation plays a critical role in adapting to technological changes
to enhance competitiveness despite the challenge of integrating technology and
innovation into a nation’s economic framework, which is vital. Companies must gain the
ability to obtain a competitive edge, achieve long-term success, and ensure sustainability,
necessitating an enabling environment comprising macroeconomic stability,
infrastructure, and institutional support (Lagumdzja et al., 2019: Schwab, 2019). In
essence, embracing sustainable innovation enhances organizational performance and
positions companies strategically to thrive amidst the complexities of today’s global
economy.
Sustainability has increasingly become a critical focus in modern supply chain
management, particularly within industries like aerospace, where environmental impacts
are significant. The UK aerospace industry explored how sustainability is integrated into
supply chain practices, discovering that sustainable supply chain management goes
52
beyond mere compliance with regulations; it involves strategic initiatives to reduce
carbon footprints, optimize resource use, and promote environmental stewardship
throughout the supply chain network (Manville et al., 2021). This approach aligns with
global sustainability goals and enhances operational efficiency and resilience against
environmental disruptions. The study revealed several vital strategies aerospace
companies adopt to integrate sustainability into their supply chains. These strategies
include adopting green procurement practices to source materials from environmentally
responsible suppliers, implementing energy-efficient manufacturing processes, and
developing closed-loop systems to recycle and reuse materials. Such initiatives reduce
environmental impacts and mitigate risks associated with resource scarcity and regulatory
changes. Moreover, by fostering collaborative relationships with suppliers and
stakeholders committed to sustainability goals, aerospace firms can achieve a competitive
edge in the market while promoting long-term environmental sustainability. This holistic
approach to sustainability in supply chain management underscores its importance as a
driver of innovation and operational excellence within the aerospace industry and beyond
(Manville et al., 2021). Incorporating sustainability into supply chain management
safeguards against environmental risks and fosters innovation and long-term viability in
aerospace and other industries worldwide.
In today’s dynamic business environment, integrating sustainability into aircraft
manufacturing and supply chain management is critical. This strategic approach enhances
operational efficiency and fosters resilience against environmental disruptions and
regulatory pressures, as noted by recent studies (Castellano et al., 2022; Manville et al.,
53
2021). Organizations can align with global sustainability goals by adopting sustainable
practices and innovative technologies, differentiate themselves in competitive markets,
and drive long-term value creation. Embracing this holistic approach strengthens
organizational performance and contributes to a sustainable future, balancing economic
prosperity with environmental stewardship and social responsibility.
Change Management
Organizations must embrace change to evolve and improve to meet the demands
of the times. Introducing change into strategy implementation is critical in how
leadership perceives growth. There are three schools of thought about change
management. First, the school of individual approach includes the behavioral and Gestalt
approaches. The behavioral theory states that behavior is learned and acquired, while the
Gestalt theorists believe that learning is a process that involves acquiring and changing
perceptions, expectations, or thinking patterns. Second, the school of open systems
considers the organization to be a set of interconnected subsystems. Finally, the school of
group dynamics emphasizes that organizational change occurs through working and
social groups, not just individuals.
A comprehensive conception of the organization must understand the groups and
members of the organization in a social, symbolic, value, and communicative context
(Charis, 2019). Without adequate mechanisms for assimilation and diffusion of
knowledge within the organization, creating the conditions for adequate reception of new
information to manage change can only be insufficient. An organization that adopts a
strategy, technology, and management approach to change management can view the
54
firm as a living organism that innovates according to its ability to synthesize its strategy,
technology, and management spheres (Charis, 2019). Understanding and integrating the
diverse elements of an organization—social dynamics, symbolic interactions, shared
values, and effective communication—is essential for fostering innovation and managing
change effectively.
Enterprise resource planning (ERP) systems are crucial in enhancing efficiency
and coordination across complex operations within the aircraft manufacturing industry.
ERP systems are integrated software solutions that streamline and optimize business
processes across various organizational functions. An ERP implementation project entails
a substantial amount of socio-technical change in different aspects of the organization,
for example, people, processes, and IT systems (Al-Khateeb, 2021). Fear, doubts, and
increased uncertainty can hinder the implementation of change in an organization. Al-
Khateeb has explored various change management models, including Lewin’s change
management model, McKinsey 7-S model, ADKAR model, Bridges transition model,
and Kotter’s change model. Al-Khateeb focused on Kotter’s change model and
highlighted the importance of the accelerated model, known as two systems and one
organization. This principle refers to two types of organizational structure: the classical
management-driven hierarchy of the organizational structure and a dynamic and agile
network where both structures work together in synchronization.
Managing change can be approached using two strategies when considering how
supply chain decision-makers gather, process, and utilize internal and external
information when dealing with supply chain disruptions (Messina et al., 2020). The two
55
main strategies are (a) mitigation strategies - a plan or set of actions designed to reduce or
eliminate adverse impacts, particularly in environmental issues or disaster risk
management, and (b) recovery strategies - actions taken during a disruption to enable a
quick recovery. A previous work by Barratt and Barratt (2011) suggested that effective
information management can improve supply chain visibility and enhance the application
of recovery strategies during disruptive events (Messina et al., 2020). Collaboration is
also seen as a crucial element in managing supply chain disruptions. Utilizing a system
that gathers, interprets, and synthesizes information supports a management model that
should support supply chain and logistics decision-makers along the information life
cycle to provide enhanced visibility, and a characterization of each stage of the models
for disruption purposes has been provided (Messina et al., 2020). In navigating the
complexities of organizational change and supply chain management, embracing
innovation and fostering effective collaboration are essential for adapting to evolving
demands and achieving sustained success. Change management is significant because it
speaks to the methodology used to lessen the impact of supply chain disruption by
formulating information management systems innovation to understand the dynamics of
internal and external factors that impact change for an organization.
Post Proposal Aircraft Management Supply Chain Research
The aerospace industry is at the intersection of complex technological
advancements and a highly intricate supply chain, vulnerable to various risks and
disruptions. Recent scholarly works have highlighted the multifaceted nature of supply
chain risk management (SCRM) in this sector, mainly focusing on integrating modern
56
technologies such as Industry 4.0. The research conducted by Guerra et al. (2024)
provides an in-depth analysis of SCRM processes, emphasizing their importance in
maintaining operational efficiency in aerospace production (Guerra et al., 2024). They
outline that aerospace supply chains face significant risks due to high dependency on
global suppliers, regulatory compliance, and long production lead times. These
complexities necessitate adopting robust risk management strategies, which the authors
argue should be continuously adapted in response to evolving technological and
environmental conditions. Addressing these challenges requires implementing advanced
risk management frameworks and a commitment to continuous innovation and
collaboration across the aerospace supply chain.
At the heart of risk management in aerospace supply chains, as discussed by
Guerra et al. (2024), is the need for a comprehensive framework that identifies, assesses,
and mitigates potential risks. The authors classify risks into strategic, operational, and
financial categories, each requiring different risk management approaches. This
segmentation of risks aligns with earlier research on SCRM, where the need for a
multifaceted approach has been recognized. The high and capital-intensive aerospace
sector requires precise risk mitigation strategies that can respond to geopolitical
uncertainties, supply delays, and technological failures. The study by Torralba-Carnerero
et al. (2024) further elaborates on this by exploring the role of supply chain management
(SCM) control systems in the aerospace industry. Their empirical research underscores
the growing significance of SCM control in ensuring that aerospace manufacturers can
effectively manage these risks and maintain continuity in production (Torralba-Carnerero
57
et al., 2024). A well-structured and adaptable risk management framework supported by
robust SCM control systems is essential for safeguarding the aerospace supply chain
against disruptions and ensuring long-term operational stability. Technological
advancements have emerged as both a solution and a source of new challenges in SCRM.
Integrating Industry 4.0 technologies into aerospace manufacturing is crucial for
addressing these challenges. The innovative applications of Industry 4.0 in aircraft
manufacturing highlight its transformative potential in improving production processes
and supply chain resilience (Bhatia et al., 2024). By incorporating technologies such as
IoT, AI, and big data analytics, aerospace companies can enhance real-time monitoring,
predictive maintenance, and better decision-making in supply chain management (Bhatia
et al., 2024). These technologies allow for greater flexibility and responsiveness, enabling
manufacturers to anticipate and mitigate risks such as supply shortages, equipment
failures, and production delays, thus aligning with the findings of Guerra et al. (2024) on
the need for adaptive SCRM frameworks. In this way, the strategic adoption of Industry
4.0 technologies strengthens risk mitigation efforts. It empowers aerospace manufacturers
to build more resilient and agile supply chains in an increasingly unpredictable global
environment.
In addition to technological integration, another critical factor in effective supply
chain risk management is establishing strong collaboration among stakeholders. Guerra et
al. (2024) emphasize the importance of collaborative networks in reducing vulnerabilities
within the supply chain. They suggest that partnerships with suppliers, customers, and
even competitors can provide a more resilient supply chain by sharing information and
58
resources in times of crisis. Torralba-Carnerero et al. (2024) supported this view, noting
that the aerospace industry’s reliance on a global network of suppliers requires a
collaborative SCM control system to ensure smooth operations. By fostering strong
relationships, companies can gain access to vital information that enhances the supply
chain’s overall efficiency and risk preparedness.
The role of data in modernizing aerospace supply chain management is another
critical aspect highlighted in both Guerra et al. (2024) and Bhatia et al. (2024). In the
context of Industry 4.0, data analytics provides a foundation for continuous improvement
in manufacturing and logistics processes. Manufacturers can forecast demand
fluctuations, supplier disruptions, and operational bottlenecks through predictive
analytics, allowing them to implement corrective measures proactively. Integrating data-
driven insights into production schedules and inventory management helps reduce costs
and contributes to the mitigation of supply chain risks (Bhatia et al., 2024). This aligns
with the findings of Torralba-Carnerero et al. (2024), who noted that using data analytics
in SCM control systems facilitates better decision-making and enhances risk visibility
across the supply chain.
Moreover, the need for a more agile and responsive supply chain becomes more
apparent as the aerospace industry moves toward digitalization and automation.
Traditional risk management frameworks often fail to keep pace with the rapid changes
in technology and global supply chains (Guerra et al., 2024). To address this gap, they
advocate for adopting dynamic risk management strategies that can swiftly adapt to new
technological developments, such as the advancements in Industry 4.0. The ability to
59
quickly identify emerging risks and deploy mitigation strategies is vital in maintaining
operational continuity in aerospace manufacturing, particularly in light of disruptions like
the COVID-19 pandemic, which has highlighted the fragility of global supply chains.
The integration of Industry 4.0 technologies into the aerospace supply chain, as discussed
by Bhatia et al. (2024), also offers significant benefits in terms of sustainability. As
aerospace manufacturers face increasing pressure to reduce their environmental footprint,
Industry 4.0 technologies such as digital twins, advanced robotics, and autonomous
systems can play a pivotal role in improving sustainability. These technologies enable
more efficient use of resources, reduce waste, and optimize energy consumption
throughout the production cycle. In this context, supply chain risk management addresses
operational and financial risks and environmental risks, which are increasingly important
in the aerospace industry’s strategic planning (Guerra et al., 2024). Therefore, by
leveraging Industry 4.0 technologies, aerospace manufacturers can mitigate traditional
supply chain risks and enhance their environmental performance, aligning with the
industry’s growing focus on sustainability and long-term resilience.
In conclusion, integrating technological innovations such as Industry 4.0 into
supply chain risk management processes is essential for the aerospace industry to
navigate its complex, globalized environment. As outlined by Guerra et al. (2024), Bhatia
et al. (2024), and Torralba-Carnerero et al. (2024), effective SCRM in aerospace requires
a multifaceted approach that incorporates technology, collaboration, and data analytics to
mitigate risks and enhance supply chain resilience. This holistic approach to risk
management improves operational efficiency, reduces costs, and fosters long-term
60
sustainability and competitiveness in the ever-evolving aerospace sector. Future research
should continue to explore the evolving role of digital technologies in enhancing SCRM
strategies, especially considering emerging global challenges.
Summary
Understanding how the global market works and how supply chains are
interconnected is essential. This gives a big-picture view of the importance of supply
chain resilience. For example, the aircraft manufacturing industry relies on a complex
supply chain network that requires innovation, leadership, and other factors to build
flexible strategies that can handle changes in the system. A strong and diversified
industrial base is critical to domestic innovation capacity, and a resilient supply chain can
recover quickly from unexpected events (White House Press, 2021). The Fraunhofer
Institute in Germany has developed a concept called Industry 4.0, which aims to create a
responsive and intelligent manufacturing vision by implementing a Smart Factory.
Industry 4.0 involves many fields, such as agile manufacturing, responsive
manufacturing, cloud computing, and leveraging Grid. This technological revolution has
changed many aspects of businesses, including strategies, organization, business models,
value and supply chains, processes, products, skills, and ownership relationships of
companies. Airbus, Boeing, and Lockheed Martin information have achieved the cross-
integration of smart devices from enterprise level to shop floor level. Companies need to
prepare for planned and unplanned changes within the supply chain, intending to stay
competitive and profitable.
61
Conceptual Framework
The conceptual framework that grounded this study is the change management
theory, introduced by Lewin in 1951, which provides a three-step approach: beginning
with a clear objective, supported by detailed planned actions, and with projectable results.
The framework consists of a prescribed process of unfreezing, moving to act, and
refreezing (Som et al., 2020). In the context of aircraft management supply chain
operations, this framework establishes a method of capturing historical data, analyzing
the results, applying relevant changes, and resetting operations to address present issues.
To address the underpinnings of change management theory and change management, I
believe that successfully identifying the element of change is as important as making the
change itself because managing change requires a thorough understanding of the
elements that shape change. Change revolves around three elements: humans,
technology, and strategy. The human element includes the capacity to upgrade and a shift
in leadership structure. Technology includes the need to adopt and adapt to new tools.
The strategy addresses customer policies, leadership framework, and the move from
customary to technology-driven practices. Change management theory has been used as a
lens to understand the responses of supply chain leaders to redesign supply chains
through the stages of unfreezing, moving to act, and then refreezing (Hughes et al.,
2023). Supply chain change management has become increasingly critical, particularly in
response to disruptive events like the COVID-19 pandemic. The application of supply
chain change management strategies amidst events like COVID-19 indicates the need to
protect against risks, emphasizing the importance of adapting total cost of ownership
62
(TCO) principles and supplier segmentation theory to operational planning (Hoek, 2020).
These frameworks enable organizations to mitigate risks associated with supply chain
disruptions by strategically managing supplier relationships and reconfiguring operational
processes. The necessity for agile and resilient supply chain strategies to respond to
unforeseen challenges swiftly, ensuring continuity and efficiency in global supply
networks, is made evident and paramount for sustainability (Hoek, 2020). Lewin’s
change management theory, focusing on the three-step approach of unfreezing, moving to
act, and refreezing, to analyze and enhance aircraft supply chain operations by addressing
historical data, implementing changes, and resetting operations to address current
challenges are necessary tools to prevent the inability to address change.
Organizational leadership is crucial in creating effective strategies for lasting
organizational change. It is pivotal in facilitating effective change management by
guiding and motivating employees throughout the transformation process. Leaders are
responsible for establishing a clear vision for change, which helps align the
organization’s objectives with the necessary adjustments in processes and culture. Strong
leadership is essential for fostering a positive organizational climate that embraces
change, as leaders influence employee attitudes and behaviors toward new initiatives
(Avdeeva et al., 2021). Leaders can reduce resistance and enhance employee buy-in by
actively communicating the rationale behind changes and demonstrating commitment to
the process. Furthermore, influential leaders provide support and resources, enabling
teams to adapt more readily to new practices, ultimately leading to successful change
implementation (Avdeeva et al., 2021). Integrating change management theory with
63
effective organizational leadership is essential for navigating the complexities of supply
chain operations, particularly in a rapidly evolving global landscape. Lewin’s three-step
framework, unfreezing, moving to act, and refreezing, provides a structured approach for
organizations to analyze historical data and implement necessary changes while ensuring
that operations are reset to meet current challenges. Simultaneously, strong organizational
leadership fosters an environment conducive to change by clearly communicating the
vision and engaging employees throughout the process. As seen during the disruptions
caused by the COVID-19 pandemic, the ability to swiftly adapt supply chain strategies
while managing human, technological, and strategic elements is paramount for
organizational resilience and sustainability. Therefore, by combining robust change
management strategies with proactive leadership, organizations can not only mitigate
risks but also capitalize on opportunities, ensuring long-term success in an increasingly
dynamic marketplace.
Transition
This section included a comprehensive review of the literature relevant to this
study. The literature review began by exploring the foundational theory of change
management and analyzing the problem utilizing the framework of qualitative pragmatics
that underpins the research topic. This provided a theoretical foundation for subsequent
analysis and interpretation and included professional and scholarly articles that address
key themes, concepts, and variables related to the research area.
Section 3 includes the research project methodology and consists of components
outlining: project ethics; the nature of the project; population, sampling, and participants;
64
data collection activities, interview questions; data organization and analysis techniques;
and, reliability and validity. Section 4 includes the findings and conclusions of the study,
including presentation of the findings, business contributions and recommendations,
implications for social change, and recommendations for future research.
65
Section 3: Research Project Methodology
Project Ethics
Researchers have a multifaceted role when it comes to ethics and the Belmont
Report protocol. The Belmont Report is a fundamental document in research ethics,
outlining key principles: respect for persons, beneficence, and justice (U.S. Department
of Health and Human Services, 1979). Researchers must understand and adhere to these
principles in their work and be responsible for ensuring that their studies respect the
autonomy and dignity of participants. This includes obtaining informed consent, wherein
participants are fully informed about the study’s purpose, procedures, risks, and benefits,
and they voluntarily agree to participate. Researchers must prioritize beneficence, aiming
to maximize benefits and minimize harm to participants. This involves designing studies
with careful consideration of potential risks and benefits, implementing procedures to
protect participants’ well-being, and periodically assessing the study’s ethical
implications. Researchers must also ensure justice in their research practices, meaning
that the burdens and benefits of research are distributed fairly among participants and
within society. This involves considerations of inclusivity, fairness in participant
selection, and equitable access to the benefits of research outcomes. Overall, a
researcher’s role concerning ethics and the Belmont Report protocol is to conduct
research with integrity, ensuring that their work upholds ethical standards and respects
the rights and welfare of participants.
The researcher’s role is also to identify and define phenomena or categories
during the research process to comprehend and learn (Fink, 2000). The essence of
66
qualitative research lies in the researcher’s fundamental question of why something is the
way it is (Fink, 2000). An interview in which a subject describes their life world and
interprets the phenomenon meaning is a primary method to obtain information for a study
(Kvale, 1996). To avoid researcher bias, I actively considered my cultural and personal
background as a potential area of concern. Although I have employment experience in the
supply chain management field, I have no experience working within the aircraft
manufacturing industry. I avoided interpreting participant answers from a skewed point
of view based on my professional experiences.
To ensure the ethical protection of participants, I obtained informed consent to
protect privacy, maintain confidentiality, and avoid any undue influence to secure
participation. Each participant received an informed consent form via email. I will store
all collected data safely for 5 years to protect the participants’ rights. No participant
wished to withdraw from the study, but they were allowed to do so without any negative
consequences and could do so by email or telephone. All participants granted permission
to participate in the study, and the collected material was continuously analyzed for the
study. There were no financial incentives provided for participation in this study.
Participants were identified by acronyms (e.g., P1, P2, P3, etc.) to ensure their
anonymity. The final doctoral manuscript Walden IRB approval number is 09-17-24-
1167537.
Nature of the Project
This qualitative research method was appropriate for this study because it
develops interpretive meanings to explain a phenomenon by scholars immersing
67
themselves within their collected data through interviews, focus groups, or participant
observation (Crick, 2021). Qualitative research is used to develop a rich and detailed
understanding of certain theories, concepts, and constructs, such as why companies
pursue their adopted strategies and how managers make decisions (Crick, 2021). This
concept supported my study through the flexibility of gaining an awareness of
organizational problems from the leadership’s perspective regarding how they developed
and anticipated strategy implementation.
Pragmatic inquiry is a research design that emphasizes practical solutions to real-
world problems and is considered a subset of qualitative research. This approach focuses
on understanding phenomena in their context, allowing researchers to explore the
complexity of human experiences and the interactions within specific environments.
Pragmatic inquiry encourages data collection and analysis flexibility, prioritizing the
research question’s relevance and the practical implications of findings (Creswell & Poth,
2016). This perspective is particularly valuable in implementation science, where
researchers aim to understand how to translate research into practice effectively.
Pragmatic approaches to qualitative data analysis can enhance the understanding of
implementation processes by allowing for the integration of diverse data sources and
stakeholder perspectives (Ramanadhan et al., 2021). By centering on outcomes and the
applicability of research findings, pragmatic inquiry provided a robust framework for
addressing complex issues in various fields, making it a vital tool in qualitative research.
Utilizing the qualitative pragmatic research design offered substantial value in
investigating the complexities of the aircraft manufacturing supply chain for a
68
dissertation. Pragmatic inquiry in the social sciences helps with practical relevance and
real-world applicability (Bowen et al., 2020). When studying the aircraft manufacturing
supply chain, a pragmatic approach may enable researchers to bridge the gap between
theory and practice, offering directly actionable insights for industry stakeholders.
Researchers can generate knowledge that informs strategic decision-making and
operational improvements within the supply chain ecosystem by focusing on critical
concepts such as context sensitivity and problem-solving orientation. This alignment with
pragmatic principles ensures that research findings resonate with the lived experiences
and challenges faced by practitioners in the aircraft manufacturing sector. In summary,
supply chain leaders in the aircraft manufacturing industry must manage disruptions
effectively to maintain organizational productivity and resilience amid uncertainty and
volatility. By focusing on practical application and real-world problem-solving,
pragmatic inquiry provided valuable insights into the strategies, processes, and
capabilities that enable supply chain leaders to navigate disruptions successfully and
maximize organizational productivity.
Population, Sampling, and Participants
I conducted my study with six supply chain leaders from Fortune 500 aircraft
manufacturing companies located in Virginia, South Carolina, and California that operate
large, complex supply chains. In qualitative research, the rationale for determining
sample size often depends on achieving a sufficient depth of understanding, rather than
on statistical representativeness. Boddy (2016) emphasizes that the decision about sample
size should be in line with the study’s objectives and the complexity of the phenomena
69
being studied. In qualitative research, smaller sample sizes are typically used because the
focus is on gaining detailed insights and understanding nuanced perspectives, rather than
quantifying patterns (Boddy, 2016). I gained access to participants by utilizing
recruitment channels, including social media platforms, email lists, community
organizations, professional networks, and online forums relevant to the study’s focus,
which can broaden access to potential participants. Additionally, I utilized personal and
professional networks to seek referrals or recommendations for potential participants who
met the study criteria. To ensure data saturation, I used data triangulation using multiple
data sources (e.g., interviews, documents) to corroborate findings and enhance the
validity of my conclusions. Triangulation assisted me in ensuring that saturation is
reached across different data types. Participant sample size justification was achieved
when it was revealed through interview sessions that no new themes were introduced, and
redundancy of information occurred.
I used the purposive sampling method to obtain participants. The data collection
process included conducting semistructured interviews, focusing on participant
experiences with addressing supply chain interruptions due to various reasons, such as
black swan events. Additionally, I reviewed relevant, publicly accessible organizational
documents to gather more information. Once volunteers were identified as study
participants, I followed the interview protocol outlined in Appendix A. Building a good
rapport with the participants allowed them to relax and provide sincere responses. I
developed a rapport with them by explaining the purpose of the study and why I am
interested in the topic, and by explaining to them how important their input would be to
70
helping me complete a study that may contribute to improvements within their industry.
Data Collection Activities
I collected data for my research study through semistructured interviews and by
reviewing non-proprietary public source company documents. According to Xerri (2018),
semistructured interviews are advantageous because they enable comparisons to be made
between participants’ responses while also accounting for individual diversity and
flexibility. The participants I interviewed worked with companies located in South
Carolina and California. I transcribed the interviews to capture the participants’
responses, which served as qualifying data supporting the validity of the research study.
Document analysis is a method of collecting data that involves gathering information
from published materials that contain relevant information to a particular research
project, as noted in a study conducted by Mwita (2022). According to Clark and Veale
(2018), qualitative research involves recording non-numerical data such as opinions,
feelings, and experiences. This combination of semistructured interviews and document
analysis, supported by relevant literature, ensures a robust and valid data collection
process, reinforcing the credibility and reliability of the research findings.
To ensure data tracking, I utilized research logs as detailed chronicles, capturing
every facet of data collection and analysis, including methodological decisions,
participant interactions, and evolving research questions. I also used cataloging and
labeling systems to categorize and organize data and emergent themes, facilitating
systematic analysis and retrieval. Together, these systems formed a robust infrastructure
that documents the research journey and enabled me to navigate the complexities of the
71
data with clarity and rigor, ultimately contributing to the richness and reliability of the
research findings.
In research studies, using an interview protocol is essential for accessing complex
constructs and refining data collection methods. Developing a structured interview
protocol ensures a systematic and thorough exploration of intricate concepts and
phenomena (Braten et al., 2020). Interview protocols are a guideline for researchers to
maintain consistency across interviews, ensuring that all relevant topics are covered while
allowing flexibility to explore emerging themes. This approach helps to gather rich,
qualitative data that deepens understanding of participants’ experiences, perceptions, and
behaviors within specific contexts. By employing a well-designed interview protocol,
researchers can enhance the reliability and validity of their findings, enabling robust
analysis and interpretation of complex constructs that may not be adequately captured
through quantitative methods alone (Braten et al., 2020). Using an interview protocol in
research ensures comprehensive coverage of complex constructs and enhances the depth
and reliability of qualitative data analysis.
Semistructured interviews were conducted using an interview protocol (The
below list reflects an abridged list of steps; please see the complete list in Appendix A).
The protocol consisted of the following steps:
1. Introduction: I introduced myself to the participant.
2. Consent Form: I presented and reviewed the consent form with the participant.
3. Concerns: I answered any questions and concerns.
4. Participant Copy of Consent Form: I provided the participant with a copy of
72
the consent form.
5. Record Interview: I turned on my recording device.
6. Participant Code: I provided a code to represent the participant’s name and
business.
7. Conduct Interview: I began the interview with the first question and continued
until the last question was asked and answered.
8. Conclude Interview: I ended the interview by allowing the participant to ask
any questions or add more information.
9. Provided Interview Results: I discussed member checking and provided a day
the participant could expect to receive a copy of the responses for review.
Interview Questions
1. What strategies do you use to manage disruption in the supply chain process
to maximize organizational productivity?
2. Can you describe a recent instance where a disruption occurred in your supply
chain process and how your team responded to it?
3. How do you define and measure organizational productivity within your
supply chain management framework?
4. What are the key challenges you face in managing disruptions within your
supply chain?
5. How do you foster collaboration and communication among different
stakeholders within your supply chain ecosystem during times of disruption?
6. In your experience, what role does technology play in mitigating disruptions
73
and enhancing aircraft manufacturing supply chain productivity?
7. What else is related to your strategies that we have not discussed?
Data Organization and Analysis Techniques
Qualitative research is highly subjective, as data collection and analysis heavily
depend on the researcher’s focus and interpretation, making it a critical part of the
process. Consequently, the collection and analysis of qualitative research is completed
through coding and sorting methodology. It is achieved when a passage is analyzed to
decipher its core meaning, and encoding occurs when the passage is labeled with an
appropriate code. According to Clark and Veale (2018), a code in qualitative inquiry is a
word, phrase, or sentence that represents aspects of data or captures the essence or
features of data. I used the coding process described by Clark and Veale to organize and
analyze research data.
In qualitative research, focusing on themes involves a systematic approach to
identifying and interpreting patterns or recurring concepts within the data. The
significance of thematic analysis in qualitative case study research emphasizes its role in
uncovering meaningful insights from textual or interview data (Mishra & Dey, 2022).
The process typically begins with familiarization with the data through repeated readings,
followed by coding segments of text to capture key ideas or concepts. Themes emerge
through a process of organizing these codes into broader categories that encapsulate
shared meanings or patterns across the dataset. A systematic approach to the literature
review involves identifying relevant themes that emerge from both the data and existing
literature, allowing researchers to construct a coherent narrative highlighting the
74
significance of their findings (Snyder, 2019). By employing thematic analysis,
researchers can distill complex data into clear, actionable themes, which can then be
mapped against the literature to reveal consistencies or discrepancies with previous
studies. This process strengthens the validity of the research and places the new findings
within the existing body of knowledge, demonstrating how they contribute to or
challenge prevailing theories (Snyder, 2019). Furthermore, synthesizing key themes with
literature aids in uncovering gaps in research, guiding future inquiry and providing a
comprehensive understanding of the topic. By focusing on themes, researchers can
elucidate underlying phenomena, provide contextual understanding, and generate
theoretical insights, contributing to the richness and depth of qualitative research findings
(Mishra & Dey, 2022). Focusing on themes in qualitative research illuminates underlying
patterns in data and enriches understanding by revealing participants’ nuanced
perspectives and experiences.
I utilized NVivo software to analyze data in a step-by-step sequential and logical
method by following the prescribed procedures below:
1. Data Import: Began by importing data into NVivo from transcripts.
2. Familiarization: I familiarized myself with the data by reading transcripts and
reviewing media files to understand the content.
3. Coding: I began the coding process by identifying key concepts, themes, or
patterns within the data. I then created nodes (codes) in NVivo to represent
these concepts. I used a combination of deductive and inductive coding.
4. Coding Scheme Development: I developed a coding scheme that outlines the
75
hierarchy of nodes and sub-nodes based on the themes or concepts identified.
5. Coding Process: I coded segments of data by applying relevant nodes.
6. Data Exploration: I explored data using queries and visualizations in NVivo.
7. Theme Development: I identified overarching themes or patterns that emerged
from the coded.
8. Memoing: I used NVivo’s memo feature to record reflective notes, ideas, or
insights throughout the analysis process.
9. Constant Comparison: I continuously compared new data with existing codes
and themes to refine my analysis. I looked for similarities, differences, or
contradictions within the data and adjusted coding schemes or interpretations
accordingly.
10. Interpretation: I interpreted the findings based on the coded data and identified
themes. I considered the implications of my findings in relation to the research
question.
11. Reporting: I documented my analysis process and findings in a comprehensive
report for presentation.
I managed data, emerging understandings, and all necessary research notes and reflective
journals. I maintained a journal to provide a detailed description of the conditions under
which the research was obtained and a detailed description of participants during the
interview process. To protect participants’ information, raw data, including transcripts
and recordings, information will be stored in a locked cabinet for 5 years to prevent
unauthorized access and subsequently destroyed.
76
Reliability and Validity
Reliability
Reliability and validity are essential factors in determining the quality of a
doctoral research study. According to Saunders et al. (2020), reliability refers to the
ability to create consistency and replication within a research study, while validity is
defined as the appropriate use of measures to accurately reflect a case study’s analysis.
Transferability, dependability, credibility, and confirmability are four concepts that help
the researcher achieve reliability and validity (Lincoln & Guba, 1985). As the researcher,
I confirmed the dependability of my study through member checking. Golafshani (2003)
discussed the concepts of reliability and validity in qualitative research, emphasizing their
significance in ensuring dependability. Reliability denotes the consistency and stability of
research findings over time and across different observers or contexts, while validity
refers to the accuracy and appropriateness of the methods used to measure the
phenomenon under investigation. Understanding and adhering to these principles
enhances the trustworthiness and credibility of qualitative research, contributing to its
dependability in generating meaningful insights and conclusions. I supported any claims
made by research utilizing multiple scholarly peer-reviewed sources. Both reliability and
validity are critical characteristics of research quality. To ensure reliability within a
research study, researchers must ensure that the measures used to assess the phenomenon
being studied are appropriate for their intended purpose and measure what they are
intended to measure (Saunder et al., 2020, p. 213).
77
Validity
There are two ways to approach the concept of validity: internal and criterion
validity. Internal validity refers to the extent to which researchers can demonstrate that
the interventions they used produced a particular outcome without being affected by other
confounding factors. Transferability describes the ability of participants to relate the
results to their own or others’ circumstances (Johnson et al., 2020). According to Johnson
et al., contextual information provided by the researcher enables participants and
observers to determine transferability. Confirmability implies meeting criteria which can
be accomplished by maintaining a journal during the research process (Cypress, 2017).
To establish the conformability of the research, I provided a detailed description of the
conditions under which the research was obtained and a detailed description of
participants during the interview process. According to Cypress, credibility is the
accurate and truthful depiction of an individual’s lived experience. To ensure the
credibility of this study, I used participant member checking to validate the accuracy and
completeness of information gathered through research. I illustrated my evidence clearly
and documented my thought process while collecting data to achieve confirmability.
According to Ravitch (2020), data saturation occurs when the researcher no longer
receives any new responses or themes, or when there is sufficient data to answer the
research questions. To ensure data saturation, I continued to interview participants until
reoccurring themes were no longer identified in the data collection process. I also used
data method triangulation to enhance validity by supplementing my semistructured
interviews with a review of publicly available documents about supply chain disruption
78
management. Data triangulation is defined as obtaining data from numerous sources to
compare and enhance validity of findings (Farquhar et al., 2020).
Transition and Summary
Section 3 included the research project methodology and consists of components
outlining: project ethics; the nature of the project; population, sampling, and participants;
data collection activities, interview questions; data organization and analysis techniques;
and reliability and validity. Section 4 includes the findings and conclusions of the study,
including presentation of the findings, business contributions and recommendations,
implications for social change, and recommendations for future research.
79
Section 4: Findings and Conclusions
Presentation of the Findings
The purpose of this qualitative study was to explore the strategies employed by
supply chain leaders in the aircraft manufacturing industry to manage disruptions within
the supply chain process. The question surrounding the study was “What strategies do
supply chain leaders in the aircraft manufacturing industry use to manage disruptions in
the supply chain process to maximize organizational productivity?” The subsequent
research findings confirmed relevant strategies, and three key themes identified during
the research process: supply chain efficiency, forming strong alliances, and the role of
technology in improving supply chain management.
Theme 1: Supply Chain Efficiency
Effective navigation of complex design and manufacturing procedures, which
generate large volumes of data, is essential for optimizing fleet management processes
(Singh et al., 2021). The importance of refining airlines’ manufacturing operations to
improve fleet management systems is supported by Schlegel (2015), who emphasized the
need to streamline processes in the face of vast data volumes to achieve operational
efficiencies (Singh et al., 2021). This aligns with Singh et al. (2021), who asserted that
supply chain efficiency relies on the capacity to forecast and manage financial resources
efficiently, a concept further amplified through the integration of digital supply chain
management technologies. P2 indicated “access to a particular national stock number
allows item managers to see how many items are available and pending against requested
stock worldwide, allowing for the management of scarce parts.” Additionally, P1
80
expressed that optimizing ordering processes and effectively managing subcontractors are
crucial for enhancing aircraft manufacturing supply chain productivity. Both P1 and P2
emphasized that efficient procurement and financial management are essential for
delivering quality goods on time. One participant mentioned that budgets for purchasing
aircraft parts are allocated annually, which necessitates close monitoring and oversight of
these purchases throughout the year. The archival data gathered from academic
publications supports the participants’ beliefs that fiscal responsibility is crucial through
efficient supply management.
While gathering information through the interview process, P1 further noted,
We examine various entities within the Army systematically. We filter
information through the aviation parts tracking system, forecasting our filled parts
and predicting product stability for the upcoming year. This process helps us
determine whether the part functions correctly and if the item is cataloged
appropriately.
P2 noted that the goal of their organizational operation “is to keep non-operational
aircraft below the 5% or less metric to maintain optimum operations,” requiring close
monitoring and tracking of aircraft parts in the supply chain system. Also, P3 emphasized
the vital role of manufacturing operations in the airline industry in advancing fleet
management systems, highlighting the need for streamlined processes to handle large
volumes of data and improve operational efficiencies. This concept aligns with the
participants’ emphasis on optimizing ordering processes and managing subcontractors,
which are essential for enhancing productivity and efficiency in the aircraft
81
manufacturing supply chain. Effective procurement and financial management are key to
delivering quality goods on time, backed by literature that underscores the importance of
streamlined operations in managing large data volumes for fleet management.
In the context of aircraft manufacturing, effective change management theory is
crucial for optimizing supply chain efficiency. PP2 indicated that “financial budgets are
determined on an annual basis and must be managed to maintain operations throughout
the year, requiring the implementation of close monitoring.” Additionally, other
participants in the study indicated that procurement and financial management practices
are central to improving productivity within the aircraft supply chain. These participants
recognized that annual budget allocation for aircraft parts necessitates constant
monitoring and strategic oversight, ensuring that procurement processes align with fiscal
responsibility. This is consistent with findings from Singh et al. (2021), who argued that
supply chain efficiency depends significantly on the ability to forecast and manage
financial resources effectively.
Proper oversight of procurement processes can prevent delays, reduce costs, and
maintain quality standards, directly impacting the overall efficiency of the aircraft
manufacturing supply chain. Participants reported experiencing inefficiencies in their
supply chains, which were exacerbated by external disruptions such as supplier delays.
According to Lewin’s change management theory, the unfreezing phase involves leaders
conducting a thorough assessment of current supply chain processes, communicating the
vulnerabilities of existing systems, and engaging key stakeholders in discussions about
the necessity of adapting to these disruptions. This process may include reassessing
82
inventory management strategies, diversifying suppliers, or incorporating advanced
technology to enhance visibility and flexibility within the supply chain (Lewin, 1951). By
embracing these strategies during the unfreezing phase, supply chain leaders can
effectively prepare their organizations to navigate disruptions and implement the
necessary changes to build more resilient and efficient systems.
Furthermore, Schlegel (2015) supported this notion by emphasizing the role of
strategic change management in balancing cost, quality, and delivery time in complex
supply chain environments, such as those in the aviation industry. P1 highlighted the
critical role of subcontractor management in improving supply chain productivity. For
example, P1 noted that “the ordering process becomes more efficient when
subcontractors can uphold their agreed contracts.” Other participants noted
subcontractors are integral to meeting delivery schedules, and effective management of
these external entities is necessary to maintain production timelines. In the context of
Lewin’s change management theory, participants identified several key strategies for
adopting new supply chain technologies. These include the use of AI-powered demand
forecasting systems, implementing blockchain for supply chain transparency, and
improving inventory management processes to effectively respond to real-time
disruptions. Additionally, participants noted the importance of changing procurement
strategies by diversifying suppliers and increasing local sourcing to reduce reliance on
vulnerable supply chains. This aligns with the change aspect of Lewin’s theory and is
supported by relevant research findings. Training and communication are essential to
ensure that employees understand and embrace these new practices (Lewin, 1947). By
83
effectively implementing these strategies and prioritizing training and communication,
supply chain leaders can successfully navigate the change phase, ensuring that new
technologies and practices are integrated and sustained within the organization.
Change management principles, particularly those focused on aligning
organizational processes and fostering collaboration among stakeholders, can help in
optimizing relationships with subcontractors. This approach can mitigate risks associated
with delays or subpar quality, which can otherwise derail supply chain operations. In
Lewin’s change management theory, collaboration plays a crucial role in the “change”
phase, as organizations must engage key stakeholders, including suppliers, to effectively
implement new processes (Lewin, 1947a). The use of effective communication and
monitoring strategies ensures that all components of the supply chain work
synergistically, resulting in timely deliveries and cost-effective operations, both of which
are crucial in the aircraft manufacturing industry.
Lewin’s change management theory supports the concept of optimizing supply
chain efficiencies by emphasizing the need for systematic and collaborative efforts in the
“unfreezing” and “change” phases, where leaders assess existing practices, communicate
vulnerabilities, and engage stakeholders, including suppliers and subcontractors, in
adapting to disruptions. By leveraging technologies such as AI-powered forecasting and
blockchain for transparency, organizations can enhance flexibility and responsiveness,
ensuring that the supply chain remains resilient amid external challenges. Ultimately,
applying Lewin’s theory facilitates the continuous improvement of processes and
relationships within the supply chain, driving long-term operational efficiency and
84
organizational success. Strengthening supplier relationships through open communication
and mutual trust can facilitate the smooth adoption of new supply chain technologies and
strategies, helping to overcome resistance to change (Lewin, 1951). Additionally,
collaborative efforts with suppliers allow for greater flexibility and responsiveness, which
are essential for sustaining changes and ensuring long-term supply chain resilience
(Lewin, 1947b). By fostering strong, collaborative partnerships with suppliers,
organizations can ensure that the change and refreezing phases of supply chain
transformation are successfully implemented, leading to enhanced performance and
sustained innovation.
Theme 2: Forming Strong Alliances
Effective communication, collaboration, and information sharing are critical for
strengthening relationships within the aircraft manufacturing industry’s supply chain,
mitigating disruptions, and enhancing resilience through increased trust an transparency
(Smith et al., 2022). Mitigating supply chain risks in the aircraft manufacturing industry
requires a strategic approach that includes optimizing supplier selection, forming
strategic partnerships, and carefully managing production and transportation quantities
(Hu et al., 2023). Establishing clear metrics for success, such as reduced lead times or
improved inventory turnover, helps to “refreeze” the new practices and ensure their
continued adoption (Lewin, 1947b). This component of the process aligns with the
refreezing stage of Lewin’s change management model. By solidifying these changes
through continuous monitoring, feedback, and performance metrics, leaders can ensure
that the new supply chain practices become ingrained within the organizational culture,
85
leading to long-term resilience and efficiency.
Study participants emphasized the importance of clear communication with
customers and stakeholders, especially during disruptions. Research participants
highlighted that leveraging various software tools and tracking systems can bridge
communication gaps and promote transparency, enabling a more efficient response to
issues. Participant P2 referenced an automated database that assists managers in locating
parts worldwide. “If I need a part, but the system indicates that there are zero items
available, I can use a website to search for parts. For example, if I find that there are five
pieces in the world managed by specific managers, I can also see how many open
requisitions are currently being handled by the item manager.” Once new supply chain
strategies, such as increased automation in warehouses or enhanced supplier
collaboration tools, are implemented, leaders in aircraft manufacturing must ensure that
these changes are maintained over time. Participants emphasized the importance of
integrating new systems into daily operations, regularly monitoring performance, and
reinforcing changes through feedback loops and ongoing training.
Furthermore, engaging customers in understanding disruptions was essential for
fostering collaboration and building trust. Participant P4 noted, “It comes down to
communication, which is identifying which entity is overstocked and coordinating to
procure the part from that external party.” Research participants also underscored the
necessity of fostering collaboration among supply chain stakeholders to optimize supply
chain effectiveness. To indicate the significance of communication, Participant P3 noted:
From my standpoint, the best thing that we could do is communicate with the
86
suppliers overall. Ah, when it comes down to aviation parts and parts that we’re
having a hard time getting because of a lack of product or lack of capabilities.
Strong relationships with supply managers and a commitment to sharing
information were identified as essential for streamlining processes. The research further
confirmed the significant connection between organizational productivity and
collaboration with supply chain partners, particularly in preparing for unexpected events
and ensuring operational continuity. This aligns with research highlighting the
importance of collaborative resilience, which involves pooling resources, networking
with supply chain partners, and exploring new business opportunities (Ramanathan &
Ramanathan, 2022). Overall, fostering collaboration, characterized by strong
relationships and information sharing, is key to enhancing supply chain effectiveness,
maintaining continuity, and preparing for unforeseen disruptions. This finding is
supported by literature emphasizing the critical role of collaborative resilience in
navigating supply chain challenges.
Interviewees identified several challenges, such as delays in material sourcing and
issues with vendor responsiveness, which underscore the necessity of forming strong
alliances to secure scarce or frequently used parts. These challenges are exacerbated by
the unpredictability inherent in the supply chain process, which can significantly impact
forecasting and increase risks, especially in manufacturing contracts where safety
concerns are paramount. The layered effects of these disruptions were further highlighted
in the study, confirming that such unpredictability creates vulnerabilities within complex
supply chains. (see Helper & Soltas, 2021). Participant P3 indicated that to mitigate the
87
risk of not receiving a part when needed:
Sometimes you can get the aircraft management logistic assistant representative
involved, and they request permission to allow the end user to refabricate a part
by getting permission from the aircraft manufacturer to rebuild it for use. The
aircraft manufacturer will then send out the schematics of the diagram on how to
do the maintenance, which assists in getting the final part.
Additionally, the participants emphasized the importance of developing collaborative
relationships with supply chain partners to manage these risks. These alliances not only
help address material sourcing delays but also improve vendor responsiveness, ultimately
enhancing the supply chain’s resilience in the face of unforeseen disruptions.
Participant P1 recounted that “when disruptions occur, as demonstrated by a
recent case with a major airline manufacturer regarding the delivery of aircraft blades,
transparency becomes paramount.” Communicating openly with customers about supply
chain issues allows for collaborative problem-solving. In this instance, engaging
customers in understanding the root causes of delays helped find immediate solutions,
such as using alternative shipping methods. This proactive approach addresses the current
disruption and builds trust between suppliers and customers, fostering a more resilient
supply chain.
Collaboration among supply chain stakeholders is also critical for optimizing the
efficiency of the aircraft manufacturing process. Participants stressed that engaging
suppliers and partners in open communication regarding part availability and
procurement strategies strengthens operational capabilities. As noted by Participant P3,
88
having strong relationships with supply managers and sharing information freely
enhances the supply chain’s overall effectiveness, particularly when dealing with
shortages or procurement challenges. The literature further confirms that collaboration
improves resilience by pooling resources and jointly addressing supply chain issues.
Ramanathan and Ramanathan (2022) emphasized that creating a network of collaborative
partners is essential for navigating unpredictable disruptions and ensuring the continued
flow of operations. The participants’ experiences align with these findings, underscoring
the importance of a cooperative approach to managing the complexities of the aircraft
manufacturing supply chain. A review of the publicly available records of one of the
participant’s employers noted a goal of improving collaboration with suppliers while also
holding them accountable for delivering high-quality components to eliminate defects in
their factory.
Furthermore, the concept of collaborative resilience, as identified by participants,
emphasizes the importance of joint problem-solving and mutual support in building
strong alliances. Participants noted that by understanding each other’s challenges and
coordinating efforts, manufacturers can minimize disruptions and maintain operational
continuity. As participant P4 pointed out, fostering collaboration with external partners to
secure overstocked parts during supply chain shortages is an effective strategy for
overcoming disruptions. This concept is consistent with research on collaborative
resilience, which suggests that supply chain partners must actively engage in knowledge-
sharing, resource pooling, and flexible coordination to navigate uncertainties effectively
(Ramanathan & Ramanathan, 2022). By fostering these strong alliances, companies in the
89
aircraft manufacturing industry can better prepare for unforeseen events and enhance the
resilience of their supply chains, ultimately ensuring long-term success and operational
continuity.
Change management theory plays a pivotal role in the aircraft manufacturing
industry by fostering strong alliances within the supply chain. Effective communication
and information sharing are foundational to building these alliances, as they mitigate
disruptions and enhance overall resilience. Participants in the study emphasized that
transparency and timely updates during disruptions help to strengthen relationships and
ensure smooth operations. Research by Smith et al. (2022) supports this notion,
highlighting that strong communication channels between customers, stakeholders, and
suppliers build trust and reliability. By leveraging tools such as automated databases and
tracking systems, manufacturers can bridge information gaps, facilitating collaboration
and improving responsiveness during challenging times. The ability to communicate
disruptions efficiently not only strengthens relationships but also supports better decision-
making across the entire supply chain network.
Lewin’s change management theory, which involves the stages of unfreezing,
changing, and refreezing, provides a valuable framework for mitigating risks in the
aircraft manufacturing industry’s supply chain. According to Lewin’s model,
organizations must first “unfreeze” current processes by recognizing the need for change,
which, in the case of risk mitigation, involves addressing the challenges in supplier
selection, material sourcing, and vendor responsiveness (Lewin, 1947b). As noted by Hu
et al. (2023), delays in material sourcing and vendor issues are significant risks that can
90
disrupt production schedules. The “unfreezing” stage, in this case, involves identifying
these risks and acknowledging their impact on forecasting and safety. Once the need for
change is established, companies can move into the “changing” phase, implementing
strategic partnerships, optimizing supplier selection, and improving vendor relationships.
This transformation is necessary for addressing material shortages and unpredictable
disruptions, ultimately enhancing the supply chain’s resilience (Helper & Soltas, 2021).
By implementing these changes, the aircraft manufacturing industry can better adapt to
external uncertainties and secure vital parts for production.
Finally, Lewin’s “refreezing” stage, which involves solidifying new practices and
making them standard, ties into the importance of continuous communication and
proactive problem-solving in the aircraft manufacturing supply chain (Lewin, 1947b).
This approach aligns with Lewin’s “refreezing” stage, where new ways of working, such
as transparent communication and adaptive supply chain practices, are embedded into
organizational culture. As the participants highlighted, working with customers to
understand the root causes of disruptions and finding immediate solutions builds trust and
improves resilience. This approach not only mitigates risks in the short term but also
strengthens long-term partnerships. By integrating these practices into the organization’s
daily operations, aircraft manufacturers can ensure a stable, resilient supply chain capable
of managing both predictable and unforeseen disruptions.
Theme 3: Role of Technology to Improve Supply Chain Management
Integrating technology into an organization’s strategy is essential for sustaining
operations and ensuring long-term resilience, especially in the aircraft manufacturing
91
industry. According to Charis (2019), an organization that adopts a comprehensive
approach that blends strategy, technology, and management can be viewed as a dynamic
entity capable of evolving in response to changing conditions. The existence of changing
conditions is prevalent in the aircraft manufacturing industry, as described by Participant
P2:
Technology allows us to keep data on how long it takes to receive a part when the
aircraft is broken and how much it will cost to make the repairs, which allows the
parts manager to create all the data points that enable the end user predictability of
support.
Also, research participants in this study reflected on the dual role of technology within
the supply chain, acknowledging that while technology can significantly enhance
operational efficiency, over-reliance on it without corresponding skill development can
undermine effective management. This was highlighted by the sentiments of participant
P4 who felt there needed to be a balance between technological tools and human
expertise. In addressing the challenge of managing large volumes of data, Singh et al.
(2021) introduced Digital Twin (DT) technology, which leverages real-time data to
provide valuable insights that improve decision-making and streamline operations within
aircraft manufacturing firms. By integrating such innovations into their strategies,
organizations can enhance their ability to manage complex supply chain dynamics.
However, to fully realize the potential of technologies like DT, it is crucial for companies
to foster a harmonious blend of cutting-edge technology, ensuring both efficiency and
effective management across the supply chain.
92
Participant P1 indicated that “there has been an increase in inspections and a trend
toward direct vendor purchases, highlighting emerging risks in maintaining required
standards for aircraft parts.” The literature identified blockchain as a decentralized and
immutable ledger system that offers a secure platform for recording and tracking
transactions, which helps ensure the integrity and authenticity of aircraft parts,
maintenance records, and supply chain logistics data (Ahmad et al., 2021). Participants
referred to the Global Combat Support System (GCSS-A), a unified logistics system that
enables organizations to enhance their sustainment capabilities by streamlining and
tracking the availability of aircraft parts. This system functions similarly to blockchain by
tracking transactions and ensuring the integrity and authenticity of aircraft parts. Such
capabilities are crucial for compliance with stringent regulatory requirements and safety
standards. They help reduce the risk of counterfeit parts and enhance overall operational
trustworthiness. As noted in a review of Participant P1’s employer’s annual report, the
organization relies extensively on information technology systems and networks to
operate the company and meet its business objectives. A review of a publicly available
document from the participant’s organization supported this participant’s claim.
Participant P1 noted that “the ordering process becomes more efficient when
subcontractors can uphold their agreed contracts. Participant P2 indicated that “financial
budgets are determined on an annual basis and must be managed to maintain operations
throughout the year, requiring the implementation of close monitoring; however, it
provides efficiencies in the purchasing process.” This allows for the timely execution of
quality goods,” resulting in greater efficiency within the supply chain. This emphasis on
93
order efficiency is complemented by careful financial planning, which ensures that
resources are allocated properly to maintain the flow of quality goods throughout the
supply chain. In the aircraft manufacturing sector, supply chain leaders implement
various strategies to enhance productivity and manage disruptions effectively. One
critical approach is optimizing the ordering process, where efficiency in placing orders
and managing subcontractors plays a significant role. By streamlining the procurement of
materials and ensuring timely delivery from tiered suppliers, manufacturers can mitigate
potential delays. This aligns with the literature, which notes that technologies such as the
Internet of Things (IoT) play a pivotal role in enhancing supply chain visibility and
capturing real-time data, which are vital for fostering collaboration and trust. Study
literature indicated that Adopting IoT technologies in aircraft manufacturing enhances
operational efficiency and strengthens the industry’s ability to meet stringent safety and
performance standards. Keivanpour and Ait Kadi (2019) examined the influence of the
IoT on managing aircraft spare parts inventory. They found that IoT-enabled devices
enhance the visibility of inventory and the tracking of assets in the aviation industry. By
improving transparency and facilitating proactive maintenance scheduling, IoT not only
enhances resource utilization but also emphasizes the importance of open communication
in managing the complexities of the aircraft manufacturing supply chain.
Participant P1 noted that “the ordering process becomes more efficient when
subcontractors can uphold their agreed contracts. Participant P2 indicated that “financial
budgets are determined on an annual basis and must be managed to maintain operations
throughout the year, requiring the implementation of close monitoring; however, it
94
provides efficiencies in the purchasing process.” This allows for the timely execution of
quality goods,” resulting in greater efficiency within the supply chain. This emphasis on
order efficiency is complemented by careful financial planning, which ensures that
resources are allocated properly to maintain the flow of quality goods throughout the
supply chain. In the aircraft manufacturing sector, supply chain leaders implement
various strategies to enhance productivity and manage disruptions effectively. One
critical approach is optimizing the ordering process, where efficiency in placing orders
and managing subcontractors plays a significant role. By streamlining the procurement of
materials and ensuring timely delivery from tiered suppliers, manufacturers can mitigate
potential delays.
Lastly, technology plays a dual role in enhancing supply chain productivity.
While advanced technologies can offer significant advantages in efficiency and tracking,
over-reliance on them can lead to a disconnect in core skills needed for effective supply
chain management. Leaders emphasize the importance of technological tools, ensuring
that teams are equipped to address issues that arise.
Lewin’s change management theory, with its three stages of unfreezing, changing,
and refreezing, provides a valuable framework for integrating technology into the aircraft
manufacturing industry’s supply chain to enhance predictability (Lewin, 1951). The
“unfreezing” stage involves recognizing the need for change, which in the context of the
aircraft manufacturing supply chain includes the adoption of advanced technologies.
Charis (2019) stated that a comprehensive approach combining strategy, technology, and
management helps organizations adapt to dynamic conditions. For instance, Participant
95
P2 highlighted how technology aids in tracking data related to part delivery and repair
costs, enabling more accurate predictions about support needs. This aligns with Lewin’s
theory by emphasizing the importance of recognizing inefficiencies in the existing
processes and preparing the organization for technological change that will improve
supply chain predictability.
In the “changing” phase of Lewin’s model (1947a), organizations also leverage
technology to manage risks, as evidenced by the increasing use of blockchain and unified
logistics systems like the GCSS-A. According to Ahmad et al. (2021), blockchain’s
decentralized ledger offers a secure platform for tracking parts and ensuring authenticity,
mitigating risks related to counterfeit parts in the supply chain. Similarly, participants in
the study emphasized the importance of data systems that ensure the integrity and
traceability of aircraft components, particularly for safety-critical applications. This
aligns with Lewin’s theory, where change is facilitated by the introduction of new tools
and practices that increase transparency and accountability (Lewin, 1947b). By
integrating blockchain or similar technologies into the supply chain, companies can
“refreeze” new, safer processes, ensuring compliance with regulatory requirements and
maintaining high-quality standards. These changes help to reduce operational risks,
which are particularly crucial in the context of aviation safety.
The “changing” phase, according to Lewin’s theory, involves implementing new
technologies to transform current operations (Lewin, 1951). Participants in the study
discussed the benefits of advanced tools such as DT technology, which leverages real-
time data to improve decision-making and optimize supply chain operations (Singh et al.,
96
2021). By integrating DT technology, aircraft manufacturers can achieve better
forecasting accuracy and improve overall supply chain performance. However, as the
study also found, the successful integration of such technologies requires more than just
the adoption of new tools; it necessitates a balanced approach between technology and
human expertise. This stage of change emphasizes the importance of developing skill sets
alongside the introduction of advanced tools to ensure that supply chain managers can
effectively interpret data and make informed decisions. This balance is crucial to
maintaining efficiency while avoiding over-reliance on technology, which can undermine
management practices if not properly integrated.
Finally, the “refreezing” stage of Lewin’s change management theory involves
solidifying new practices as the norm within the organization (Lewin, 1947b). For aircraft
manufacturers, this means ensuring that technologies like the Internet of Things (IoT) are
embedded into daily operations to enhance supply chain visibility and predictability. IoT
devices improve the tracking of assets and inventory, as Keivanpour and Ait Kadi (2019)
demonstrated in their study on managing aircraft spare parts. These technologies enable
proactive maintenance scheduling and enhance resource utilization, which ultimately
improves supply chain efficiency. The successful “refreezing” of these technological
practices requires continuous training and development to ensure that human expertise
evolves alongside technological advancements. By integrating IoT and other
technologies, manufacturers can streamline their processes, reduce delays, and enhance
overall operational predictability, ensuring that technology becomes an integral part of
the supply chain management strategy.
97
Business Contributions and Recommendations for Professional Practice
This study highlighted key contributions to business practices within the aircraft
manufacturing supply chain, focusing on strategies that enhance productivity and manage
disruptions. Participants emphasized the importance of optimizing ordering processes and
managing subcontractors to streamline procurement and ensure the timely delivery of
quality goods. For example, participant P1 expressed that optimizing ordering processes
and effectively managing subcontractors are crucial for enhancing aircraft manufacturing
supply chain productivity. Efficient financial management is also crucial, as it supports
the allocation of resources necessary for maintaining operational flow. As learned
through the research process, it is evident that financial budgets are determined on an
annual basis and must be managed to maintain operations throughout the year, requiring
the implementation of close monitoring; however, it provides efficiencies in the
purchasing process. This study indicates that the significance of the geographic location
of supplies within the supply chain is underscored by the shift in prioritizing customer
integration within supply chain strategy design, which is essential for organizational
advancement and financial performance (Burta, 2016). The findings underline the
significance of transparency and communication, especially during disruptions, as
engaging customers fosters collaboration and trust. Additionally, the research stresses the
role of data analytics in forecasting demand and tracking performance, which helps
organizations identify inefficiencies and adjust strategies proactively. For example,
Schlegel (2015) noted that integrating advanced data analytics into the supply chain can
significantly enhance decision-making and predictability, leading to more efficient fleet
98
management and optimized supply chain performance. By integrating these strategies,
companies can better navigate challenges and maintain a competitive edge in a dynamic
industry.
In terms of professional practice contributions, the study emphasized the need for
technological expertise in supply chain management. As noted in the study, the ongoing
evolution of technology and its integration into mainstream production processes are set
to transform the aircraft manufacturing industry further, leading to enhancements in
performance, reliability, and environmental sustainability (Najmon et al., 2019). While
advanced technologies like DT technology and blockchain offer significant advantages in
tracking and maintaining quality, over-reliance on these tools can hinder the development
of essential management skills. Ultimately, integrating strategic technological, and
operational elements positions organizations to respond effectively to disruptions and
enhance overall supply chain effectiveness.
Implications for Social Change
The findings from this study highlighted significant implications for individuals,
organizations, and broader communities in the aircraft manufacturing industry. By
optimizing supply chain processes and fostering collaboration, companies can enhance
efficiency and productivity, which ultimately benefits employees through improved job
stability and growth opportunities. Enhanced transparency and communication with
stakeholders not only streamline operations but also promote trust and collaboration
among partners. These tangible improvements can lead to a more resilient supply chain
capable of adapting to disruptions, which, in turn, positively affects the communities
99
dependent on these organizations for economic stability and employment. Furthermore,
leveraging advanced technologies like blockchain and IoT to ensure quality and safety
fosters an environment of accountability, thereby enhancing public trust in the industry.
In terms of social change, the research underscored the importance of integrating
technological advancements to create a balanced approach to supply chain management.
This integration supports continuous learning and professional development, empowering
individuals to thrive in a rapidly changing landscape. By prioritizing the development of
skills alongside technological tools, organizations can foster a culture of innovation and
resilience. These practices promote the worth and dignity of individuals, ensuring that
workers are equipped to meet the demands of modern supply chains. Overall, the findings
advocate for positive social change by emphasizing collaboration, transparency, and
continuous improvement, ultimately enhancing the quality of life for individuals and
strengthening the fabric of communities, organizations, and society. The implications for
positive social change include reduced costs, injuries, and deaths for members of society
who rely on aircraft for personal and professional travel.
Recommendations for Further Research
Future research in the realm of supply chain leaders in the aircraft manufacturing
industry lacking strategies to manage disruption in the supply chain process, particularly
in the aircraft manufacturing sector, could benefit from broadening the scope beyond
U.S.-based companies to include international perspectives. This diversification could
facilitate a more comprehensive understanding of supply chain challenges and strategies,
allowing for the identification of best practices across various contexts. Additionally,
100
incorporating a mixed methods approach that combines qualitative interviews with
quantitative data analysis could provide a richer, more nuanced view of supply chain
dynamics. Researchers should also consider longitudinal studies to track the evolution of
strategies over time, particularly in response to significant disruptions like the COVID-19
pandemic, to better capture the complexities of resilience and adaptability in supply
chains.
To address the limitations identified in the current research, future studies should
prioritize transparency regarding biases and constraints inherent in qualitative research.
This includes acknowledging participant biases and how they may shape responses, as
well as the contextual limitations of focusing solely on domestic markets. Engaging a
more diverse participant pool and utilizing triangulation methods can mitigate these
concerns and enhance the credibility of findings. By systematically documenting these
limitations and their implications, researchers can better articulate the significance of
their work and foster a dialogue about the evolving challenges and opportunities in
supply chain management, paving the way for further investigation and innovation in the
field.
Conclusion
This study explored the strategies aircraft manufacturers employ to effectively
navigate supply chain disruptions intensified by the COVID-19 pandemic, amidst a
projected demand for 56,000 new aircraft by 2040. The study identified key themes such
as supply chain efficiency, forming strong alliances, and the role of technology in supply
chain management. Research participants highlighted the importance of building strong
101
stakeholder relationships and leveraging advanced technologies like blockchain and IoT
to enhance communication and foster trust within the supply chain. The findings
emphasized the necessity of strategic adaptability in response to unpredictable
challenges, advocating for collaborative alliances and proactive problem-solving
techniques. By integrating data analytics for performance monitoring and enforcing
rigorous quality control measures, organizations can better position themselves to address
disruptions and maintain continuity. This research offers valuable insights that contribute
to the existing literature on supply chain resilience in the aircraft manufacturing sector,
ultimately supporting sustainable growth and competitiveness in an evolving market
landscape.
102
References
Aboulafia, R. (2021). The aviation supply chain: Challenges and response testimony
before the U.S. Senate Committee on Commerce, Science, and Transportation.
https://www.commerce.senate.gov/services/files/35E5752F-45D7-47CA-BC09-
6E6FF1817913
Agrawal, P., & Narain, R. (2018, December). Digital supply chain management: An
overview. In IOP conference series: Materials science and engineering, 455(1),
Article e012074.
Ahmad, R. W., Salah, K., Jayaraman, R., Hasan, H. R., Yaqoob, I., & Omar, M. (2021).
The role of blockchain technology in aviation industry. IEEE Aerospace and
Electronic Systems Magazine, 36(3), 4–15.
https://doi.org/10.1109/MAES.2020.3043152
Ali, A., & Ivanov, S. (2015). Change management issues in a large multinational
corporation: A study of people and systems. International Journal of
Organizational Innovation, 1, 24–30. https://www.ijoi-online.org/
Al-Khateeb, F. (2021). Developing effective change management strategies for the
implementation of enterprise resource planning. International Journal of Business
& Public Administration, 18(1), 69–85.
http://www.iabpad.com/journals/international-journal-of-business-and-public-
administration-2/
Antoft, R., & Salomonsen, H. (2007). Studying organizations by a pragmatic research
design. European Group of Organization Studies, Austria.
103
Avdeeva, I., Golovina, T., & Polyanin, A. (2021). Change management strategy for the
activities of business organizations. SHS Web of Conferences, 90, Article e01003.
https://doi.org/10.1051/shsconf/20219001003
Barbosa, C., Malarranha, C., Azevedo, A., Carvalho, A., & Barbosa-Póvoa, A. (2023). A
hybrid simulation approach applied in sustainability performance assessment in
make-to-order supply chains: The case of a commercial aircraft
manufacturer. Journal of Simulation, 17(1), 32–
57. https://doi.org/10.1080/17477778.2021.1931500
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk
management and artificial intelligence: State of the art and future research
directions. International Journal of Production Research, 57(7), 2179–2202.
https://doi.org/10.1080/00207543.2018.1530476
Bettis, P. J., & Gregson, J. A. (2001). The why of research: Paradigmatic and pragmatic
considerations. Research pathways: Writing professional papers, theses, and
dissertations in workforce education, 1–21.
Bhatta, T. (2018). Case study research, philosophical position and theory building: A
methodological discussion. Dhaulagiri Journal of Sociology and Anthropology,
12, 72–79. https://doi.org/10.3126/dsaj.v12i0.22182
Bhatia, M. S., & Kumar, S. (2022). Linking stakeholder and competitive pressure to
industry 4.0 and performance: Mediating effect of environmental commitment
and green process innovation. Business Strategy and the Environment, 31(5),
1905–1918. https://doi.org/10.1002/bse.2989
104
Bhatia, V., Kumar, A., Sidhart, S., Kumar Kare, S., Chandrakant Ghorpade, S., &
AlZohbi, G. (2024). Industry 4.0 in Aircraft Manufacturing: Innovative Use Cases
and Patent Landscape. In A. Kumar, P. Kumar, & Y. Liu (Eds.), Industry 4.0
driven manufacturing technologies (pp. 103–137). Springer.
https://doi.org/10.1007/978-3-031-68271-1_5
Boddy, C. R. (2016). Sample size for qualitative research. Qualitative Market Research,
19(4), 426–432. https://doi.org/10.1108/QMR-06-2016-0053
Bowen, J. R., Dodier, N., Duyvendak, J. W., & Hardon, A. (Eds.). (2020). Pragmatic
inquiry: Critical concepts for social sciences. Routledge.
Braten, B., Kramer, A., Henderson, E., Kaifez, R., & Dringenberg, E. (2020). Accessing
complex constructs: Refining an interview protocol. IEEE Frontiers in Education
Conference, 1–3. https://doi.10.1109/FIE44824.2020.9274260
Braun, A. (2015). How the operational level managers influence the corporate level
strategies and their collective successful implementation. Scholedge International
Journal of Business Policy & Governance, 2(10), 9–16.
https://doi.org/10.19085/journal.sijbpg021002
Breslin, M., & Buchanan, R. (2008). On the case study method of research and teaching
in design. Design Issues, 24(1), 36–40. https://doi.org/10.1162/desi.2008.24.1.36
Burta, F. S. (2018). Supply chain management and performance: Framework for strategic
decision making. Annals of the University of Oradea, Economic Science Series,
27(1), 430–438. https://anale.steconomiceuoradea.ro/volume/2018/n1/42.pdf
Bygballe, L. E., Dubois, A., & Jahre, M. (2022). The importance of resource interaction
105
in strategies for managing supply chain disruptions. Journal of Business
Research, 154, Article e113333. https://doi.org/10.1016/j.jbusres.2022.113333
Castleberry, A., & Nolen, A. (2018). Thematic analysis of qualitative research data: Is it
as easy as it sounds? Currents in Pharmacy Teaching and Learning, 10(6), 807-
815. https://doi.org/10.1016/j.cptl.2018.03.019
Castellano, R., Punzo, G., Scandurra, G., & Thomas, A. (2022). Exploring antecedents of
innovations for small and medium-sized enterprises environmental sustainability:
An interpretative framework. Business Strategy & the Environment (John Wiley
& Sons, Inc), 31(4), 1730-1748. https://doi.org/10.1002/bse.2980
Charis, V. (2019). Change management and innovation in the living organization. The
Strategy Technology Management Approach, 7(2), 229–256.
https://doi.org/10.25019/mdke/7.2.06
Clark, K. R., & Veale, B. L. (2018). Strategies to enhance data collection and analysis in
qualitative research. Radiologic Technology, 89(5), 482CT–485CT.
http://www.radiologictechnology.org/content/89/5/482CT.extract
Clauss, T., & Spieth, P. (2016). Treat your suppliers right! Aligning strategic innovation
orientation in captive supplier relationships with relational and transactional
governance mechanisms. R&D Management, 46(S3), 1044–1061.
https://doi.org/10.1111/radm.12202
Creswell, J., & Poth, C.N. (2013). Qualitative inquiry & research design: Choosing
among five approaches. Sage.
Crick, J. M. (2021). Qualitative research in marketing: What can academics do better?
106
Journal of Strategic Marketing, 29(5), 390–429.
https://doi.org/10.1080/0965254X.2020.1743738
Cypress, B. S. (2017). Rigor, reliability, and validity in qualitative research: Perspectives,
strategies, reconceptualization, and recommendations. Dimensions of Critical
Care Nursing, 36(4), 253–263. https://doi.org/10.1097/dcc.0000000000000253
Debnath, B., Shakur, M. S., Tanjum, F., Rahman, M. A., & Adnan, Z. H. (2022). Impact
of additive manufacturing on the supply chain of aerospace spare parts industry—
a review. Logistics, 6(2), 28. https://doi.org/10.3390/logistics6020028
De Castro Oliveira, R., & Defreitas Pedroso Gonzalez, I. V. (2022). The impact of supply
chain integration on the operational process performance: An empirical study
under the perspective of resource orchestration theory. Brazilian Business Review
(English Edition), 19(3), 227–245. https://doi.org/10.15728/bbr.2022.19.3.1
De Vass, T., Shee, H., & Miah, S. (2021). IoT in supply chain management:
Opportunities and challenges for businesses in early industry 4.0
context. Operations and Supply Chain Management: An International
Journal, 14(2), 148–161. http://doi.org/10.31387/oscm0450293
Di Vaio, A., & Varriale, L. (2020). Blockchain technology in supply chain management
for sustainable performance: Evidence from the airport industry. International
Journal of Information Management, 52, Article e102014.
https://doi.org/10.1016/j.ijinfomgt.2019.09.010
El Mokadem, M.Y., & Khalaf, M.A. (2023). The contingent effect of supply chain
strategies on the relationship between supply chain integration and operational
107
performance in a manufacturing context. Journal of Manufacturing Technology
Management, 34(1), 147–164. https://doi.org/10.1108/JMTM-01-2022-0014
Farquhar, J., Michels, N., & Robson, J. (2020). Triangulation in industrial qualitative
case study research: Widening the scope. Industrial Marketing Management, 87,
160–170. https://doi.org/10.1016/j.indmarman.2020.02.001
Ferreira, F. N. H., Cova, B., Spencer, R., & Proenca, J. F. (2017). A phase model for
solution relationship development: A case study in the aerospace
industry. Journal of Business & Industrial Marketing, 32(5), 625–639.
https://doi.org/10.1108/JBIM-12-2014-0269
Fishman, D. B. (2013). The pragmatic case study method for creating rigorous and
systematic, practitioner-friendly research. Pragmatic Case Studies in
Psychotherapy, 9(4), 403–425. https://doi.org/10.14713/pcsp.v9i4.1833
Fink, A. S. (2000). The role of the researcher in the qualitative research process. A
potential barrier to archival qualitative data. Forum: Qualitative Social
Research/Qualitative Socialforschung, 1(3), 1–15. https://doi.org/10.17169/fqs-
1.3.1021
Gallego-García S., Gejo-García J., & García-García, M. (2021) Development of a
Maintenance and Spare Parts Distribution Model for Increasing Aircraft
Efficiency. Applied Sciences, 11(3), 1333. https://doi.org/10.3390/app11031333
Ghadge, A., Karantoni, G., Chaudhuri, A. & Srinivasan, A. (2018). Impact of additive
manufacturing on aircraft supply chain performance: A system dynamics
approach. Journal of Manufacturing Technology Management, 29(5), 846–
108
865. https://doi.org/10.1108/JMTM-07-2017-0143
Golafshani, N. (2003). Understanding reliability and validity in qualitative research. The
Qualitative Report, 8(4), 597–607. http://www.nova.edu/ssss/QR/QR8-
4/golafshani.pdf
Goldberg, A. E., & Allen, K. R. (2015). Communicating qualitative research: Some
practical guideposts for scholars. Journal of Marriage and Family, 77(1), 3–22.
https://doi.org/10.1111/jomf.12153
Guerra, J.H.L., Bernardi de Souza, F., Pires, S.R.I., Salgado, M.H. & Sá,
A.L.R.d. (2024). Supply chain risk management (SCRM) process: An analysis in
the aerospace industry. Benchmarking: An International Journal, Vol. ahead-of-
print No. ahead-of-print. https://doi.org/10.1108/BIJ-12-2023-0844
Graham, G., & Ahmed, P. (2000). Buyer‐supplier management in the aerospace value
chain. Integrated Manufacturing Systems, 11(7), 462–468.
https://doi.org/10.1108/09576060010349767
Hans, G. R. (2017). The theory contribution of case study research designs. Business
Research, 10(2), 281–305. https://doi.org/10.1007/s40685-017-0045-z
Hazen, B.T., Russo, I., Confente, I. & Pellathy, D. (2021). Supply chain management for
a circular economy: Conceptual framework and research agenda. The
International Journal of Logistics Management, 32(2), 510-
537. https://doi.org/10.1108/IJLM-12-2019-0332
Helper, S., & Soltas, E. (2021). Why the pandemic has disrupted supply chains. The
White House. https://www.whitehouse.gov/cea/written-
109
materials/2021/06/17/why-the-pandemic-has-disrupted-supply-chains/
Hickie, D., & Hickie, J. (2021). The impact of industry 4.0 on supply chains and regions:
Innovation in the aerospace and automotive industries. European Planning
Studies, 29(9), 1606–1621. https://doi.org/10.1080/09654313.2021.1963048
Hoek, R. V. (2020). Responding to COVID-19 supply chain risks—Insights from supply
chain change management, total cost of ownership and supplier segmentation
theory. Logistics, 4(4), 23.
Höijer, B. (2008). Ontological assumptions and generalizations in qualitative
(Audience) research. European Journal of Communication, 23(3), 275–294.
https://doi.org/10.1177/0267323108092536
Hur, M., Keskin, B. B., & Schmidt, C. P. (2018). End of life inventory control of aircraft
spare parts under performance based logistics. International Journal of
Production Economics, 204, 186–203. https://doi.org/10.1016/ijpe.2018.07.028
Hughes, J., & McDonagh, J. (2017). In defense of the case study methodology for
research into strategy practice. Irish Journal of Management, 36(2), 129–145.
https://doi.org/10/1515/ijm-2017-0013
Huq, F., Pawar, K. S., & Subramanian, N. (2021). Disturbances to the supply chains of
high-value manufacturing firms: Comparison of the perceptions of product
managers and supply chain managers. International Journal of Production
Research, 59(13), 3916–3934. https://doi.org./10.1080/00207543.2020.1756503
Hu, H., Guo, S., Qin, Y., & Lin, W. (2023). Two-stage stochastic programming model
and algorithm for mitigating supply disruption risk on aircraft manufacturing
110
supply chain network design. Computer & Industrial Engineering, 175.
https://doi.org/10.1016/j.cie.2022.108880
Ho, G.T.S., Tang, Y. M., Tsang, K. Y., Tang, V., & Chau, K. Y. (2021). A blockchain-
based system to enhance aircraft parts traceability and trackability for inventory
management. Experts Systems with Applications, 179, 115101.
https://doi.org/10.1016/j.eswa.2021.115101
Jackson, K., & Brown, R. (2021). Designing research for meaningful results in
educational leadership. Oxford Research Encyclopedia of Education. (pp.31–42).
https://doi.org/10.1093/acrefore/9780190264093.013.626
Jalil, N. A., Prapinit, P., Melan, M., & Mustaffa, A. B. (2019, November). Adoption of
business intelligence-Technological, individual and supply chain efficiency.
In 2019 International Conference on Machine Learning, Big Data and Business
Intelligence (MLBDBI) (pp. 67–73). IEEE.
Jansen, J. J. P., Van den Bosch, F. A. J., & Volberda, H. W. (2006). Exploratory
innovation, exploitative innovation, and performance: effects of organizational
antecedents and environmental moderators. Management Science, 52, 1661–1674.
Johnson, J. L., Adkins, D., & Chauvin, S. (2020). A review of the quality indicators of
rigor in qualitative research. American Journal of Pharmaceutical Education,
84(1), 7120. https://doi.org/10.5688/ajpe7120
Jomthanachai, S., Wong, W. P., Soh, K. L., & Lim, C. P. (2022). A global trade supply
chain vulnerability in COVID- 19 pandemic: An assessment metric of risk and
resilience-based efficiency of CoDEA method. Research in Transportation
111
Economics, 93(101166). https://doi.org/10.1016/j.retrec.2021.101166
Kafetzopoulos, D. (2023). Environmental dynamism and sustainability: the mediating
role of innovation, strategic flexibility, and HR development. Management
Decision, 61(6), 1697–1716. https://doi.org/10.1108/MD-06-2022-0759
Kazantsev, N., Bogomolova, I., Radyukin, A., & Sukhanova, E. (2018). Demand-driven
collaboration in the aerospace industry 4.0: application of subject-oriented process
management. In 2018 Workshops Subject-Orientation in Digitalization and
Community Support, and Work-In-Progress Contributions at S-BPM ONE,
SBPM-ONE-WS-WiP 2018.
Kelly, L. M., & Cordeiro, M. (2020). Three principles of pragmatism for research on
organizational processes. Methodological Innovations, 13(2), Article
e2059799120937242.
https://journals.sagepub.com/doi/full/10.1177/2059799120937242#tab-
contributors
Kenzhevayeva, Z., Katayeva, A., Kaikenova., Sarsembayeva., Babai, M. Z., Tsakalerou.,
& Papadoppoulos, C. T. (2021). Inventory control models for spare parts in
aviation logistics. Procedia Manufacturing, 55, 507–512.
https://doi.org/10.1016/j.promfg.2021.10.069
Koblen, I., & Nizníková, L. (2013). Selected aspects of the supply chain management in
the aerospace industry. Incas Bulletin, 5(1), 135. https://doi.org/10.13111/2066-
8201.2013.5.1.13
Kohl, M., Habl, A., Kallali, K., Puff, J., Fottner, J., Oger, R., Lauras, M. and Li,
112
J. (2022). Managing supply chains during the Covid-19 crisis: Synthesis
of academic and practitioner visions and recommendations for the future. The
International Journal of Logistics Management, 33(4), 1386–
1407. https://doi.org/10.1108/IJLM-07-2021-0375
Korchagin, A., Deniskina, A., & Fateeva, I. (2019). Lean and energy efficient production
based on internet of things (IOT) in aviation industry. In E3S web of
conferences,110, 02124. EDP Sciences.
Lagumdzija, Z., Kapo, A., & Turulja, L. (2019). From competitiveness to sustainability:
Is innovativeness the answer? BH Economic Forum, 11(2), 25–38.
https://scindeks.ceon.rs/Article.aspx?artid=1986-681X1902025L
Lewin, K. (1947a). Frontiers in group dynamics: Concept, method, and reality in social
science; Social equilibria and social change. Human Relations, 1(1), 5–41.
Lewin, K. (1947b). Group decision and social change. Readings in social
psychology, 3(1), 197–211.
Lewin, K. (1951). Field theory in social science: Selected theoretical papers. Harper &
Row.
Li, L., Aslam, S., Wileman, A., & Perinpanayagam, S. (2021). Digital twin in aerospace
industry: A gentle introduction. IEEE Access, 10, 9543–9562.
Li, Y. (2018, December). Supply chain management of aircraft industry. In 2018 8th
International Conference on Management, Education, and Information (MEICI
2018) (pp. 218–223). Atlantis Press.
Lincoln, Y. S., & Guba, E. (1985). Naturalistic inquiry (1st ed.). SAGE.
113
Maletic, M., Maletic, D., Dahlgaard, J. J., Dahlgaard-Park, S. M., & Gomiscek, B.
(2016). Effect of sustainability-oriented innovation practices on the overall
organizational performance: an empirical examination. Total Quality
Management & Business Excellence, 27(9/10), 1171–1190.
https://doi.org/10.1080/14783363.2015.1064767
Martin, B. (2021). Supply chain disruptions: The risks and consequences. Rand.
https://www.rand.org/blog/2021/11/supply-chain-disruptions-the-risks-and-
consequences.html
Manville, G., Papadopoulos, T., & Garengo, P. (2021). Twenty-first century supply chain
management: A multiple case study analysis within the UK aerospace industry.
Total Quality Management & Business Excellence, 32(7/8), 869–885.
https://doi.org/10.1080/14783363.2019.1642101
Mecheter, A., Pokharel, S., & Tarlochan, F. (2022). Additive manufacturing technology
for spare parts application: A systematic review on supply chain
management. Applied Sciences, 12(9), 4160. https://doi.org/10.3390/app12094160
Messina, D., Barros, A.C., Soares, A.L. & Matopoulos, A. (2020). An information
management approach for supply chain disruption recovery. The International
Journal of Logistics Management, 31(3), 489–519. https://doi.org/10.1108/IJLM-
11-2018-0294
Mishra, S., & Dey, A. K. (2022). Understanding and identifying ‘themes’ in qualitative
case study research. South Asian Journal of Business and Management
Cases, 11(3), 187–192.
114
Morgan Stanley. (2022). Global supply chains: Risks repair and restructuring. Morgan
Stanley. https://www.morganstanley.com/ideas/supply-chain-disruption-outlook
Mwita, K. M. (2022). Factors to consider when choosing data collection
methods. International Journal of Research in Business and Social
Science, 11(5), 532–538. https://doi.org/10.20525/ijrbs.v11i5.1842
Najmon, J. C., Raeisi, S., & Tovar, A. (2019). Review of additive manufacturing
technologies and applications in the aerospace industry. Additive Manufacturing
for The Aerospace Industry, 7–31. https://doi.org/10.1016/B978-0-12-814062-
8.00002-9
Nazeer, S., Saleem, H. M. N., & Shafiq, M. (2024). Examining the influence of
adoptability, alignment, and agility approaches on the sustainable performance of
aviation industry: An empirical investigation of supply chain
perspective. International Journal of Aviation, Aeronautics, and
Aerospace, 11(1), 8. https://doi.org/10.58940/2374-6793.1898
Nguyen, H., Sharkey, T. C., Mitchell, J. E., & Wallace, W. A. (2020). Optimizing the
recovery of disrupted single-source multi-echelon assembly supply chain
networks. IISE Transactions, 52(7), 703–720.
https://doi.org/10.1080/24725854.2019.1670372
Nucciarelli, A., & Gastaldi, M. (2008). Information technology and collaboration tools
within the e-supply chain management of the aviation industry. Technology
Analysis and Strategic Management, 20(2), 169–184.
https://doi.org/10.1080/09537320801931309
115
O’Brien, J. (2022). Supplier relationship management: Unlocking the value in your
supply base. Kogan Page Publishers.
Obilor, E. I. (2023). Convenience and purposive sampling techniques: Are they the
same. International Journal of Innovative Social & Science Education
Research, 11(1), 1–7.
O’Connor, B. N. (2007). Innovative research strategies for business education. Delta Pi
Epsilon Journal, 49(1), 50–55. https://eric.ed.gov/?id=EJ779212
Pathirange, Y. L., Jayatilake, L. V. K., & Abeysekera, R. (2020). Case study research
design for exploration of organizational culture towards corporate performance.
Review of International Comparative Management, 21(3), 361–372.
https://doi.org/10.24818/RMCI.2020.3.361
Pearse, N. (2021). Guidelines for theory development using qualitative research
approaches. Electronic Journal of Business Research Methods, 19(2), 95–103.
https://doi.org/10.34190/ejbm.19.2.2512
Piao, M., Zhang, D., Lu, H., & Li, R. (2023). A supply chain inventory management
method for civil aircraft manufacturing based on multi-agent reinforcement
learning. Applied Sciences, 13(13), 7510. https://doi.org/10.3390/app13137510
Raj, A., & Srivastava, S.K. (2018). Sustainability performance assessment of an aircraft
manufacturing firm. Benchmarking: An International Journal, 25(5), 1500–
1527. https://doi.org/10.1108/BIJ-01-2017-0001
Ramanathan, U., Aluko, O. & Ramanathan, R. (2022). Supply chain resilience and
business responses to disruptions of the COVID-19 pandemic. Benchmarking: An
116
International Journal, 29(7), 2275–2290. https://doi.org/10.1108/BIJ-01-2021-
0023
Ramanadhan, S., Revette, A. C., Lee, R. M., & Aveling, E. L. (2021). Pragmatic
approaches to analyzing qualitative data for implementation science: an
introduction. Implementation Science Communications, 2, 1–10.
https://link.springer.com/article/10.1186/s43058-021-00174-1
Rasheed, A., & Manarvi, I. A. (2008). A framework of technology diffusion in Aircraft
Manufacturing Industry Environment. In Proceedings of the International Multi
Conference of Engineering and Computer Scientists (Vol. 2).
https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=1c4627d58689
678b183583896730c270d6a0990c
Rashid, A., Masood, T., Erkroyuncu, J.A., Tiahjono, B., Khan, N., & Shami, M. (2018).
Enterprise systems life cycle in pursuit of resilient smart factory for emerging
aircraft industry: A synthesis of Critical Success Factors (CSFs), theory,
knowledge gaps, and implications. Enterprise Information Systems, 12(2), 96–
136. https://doi.org/10.1080/17517575.2016.1258087
Ravitch, S. M. (2020). Qualitative research: Bridging the conceptual, theoretical, and
methodological (2nd ed.). SAGE.
Rescher, N. (2016). Pragmatism in philosophical inquiry: Theoretical considerations and
case studies. Springer.
Resilinc Editorial Team. (2023). Top 5 aerospace industry supply chain disruptions of
2023. Aerospace, Eventwatch. https://www.resilinc.com/blog/aerospace-supply-
117
chain-disruptions-2023/
Riyadi, S. (2020). The mediating role of technology competences, supply chain
technology between supply chain management, total quality management and
firms supply chain performance in Indonesian textile sector. International Journal
of Supply Chain Management, 9(2), 452–459.
https://core.ac.uk/download/pdf/322571582.pdf
Ronchini, A., Moretto, A. M., & Caniato, F. (2023). Adoption of additive manufacturing
technology: Drivers, barriers and impacts on upstream supply chain
design. International Journal of Physical Distribution & Logistics
Management, 53(4), 532–554. https://doi.org/10.1108/IJPDLM-12-2021-0541
Ross, P.T., & Bibler Zaidi, N.L. Limited by our limitations. (2019). Perspect Medical
Education, (8), 261–264. https://doi.org/10.1007/s40037-019-00530-x
Sato, Y., Tse, Y.K. & Tan, K.H. (2020). Managers’ risk perception of supply chain
uncertainties. Industrial Management & Data Systems, 120(9), 1617–
1634. https://doi.org/10.1108/IMDS-01-2020-0049
Saunders, M.N. K., Thornhill, A., & Lewis, P. (2020). Research Methods for Business
Students (8th ed.). Pearson International Content.
https://mbsdirect.vitalsource.com/books/9781292208800
Schlegel, G. L. (2015). Supply chain disruptions: Causes, impacts, and mitigation
strategies. The Journal of Business Forecasting, 34(3), 4–7,9,11.
https://www.proquest.com/scholarly-journals/supply-chain-disruptions-causes-
impacts/docview/1770021561/se-2
118
Schmelzle, U., & Mukandwal, P. S. (2023). The impact of supply chain relationship
configurations on supplier performance: investigating buyer–supplier relations in
the aerospace industry. The International Journal of Logistics
Management, 34(5), 1301–1321. https://doi.org/10.1108/IJLM-12-2020-0465
Schwab, K. (2019). Why business must step up to shape the next industrial revolution.
Fortune, 179(1), 45–46.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its
relationships to sustainable supply chain management. International Journal of
Production Research, 57(7), 2117–2135.
https://doi.org/10.1080/00207543.2018.1533261
Shan, S., Wang, L., Xin, T., & Bi, Z. (2013). Developing a rapid response production
system for aircraft manufacturing. International Journal of Production
Economics, 146(1), 37–47. https://doi.org/10.1016/j.ijpe.2012.12.006
Simpson, B. (2018). Pragmatism: A philosophy of practice. In C. Cassell, G. Grandy, and
A.L. Cunliffe (Eds.) The SAGE Handbook of Qualitative Business and
Management Research Methods (pp. 54–68). Sage.
Singh, B. (2020). Global supplier management challenges in the aerospace industry.
SSRN.
Singh, S., Shehab, E., Higgins, N., Fowler, K., Erkoyuncu, J. A., & Peter, G. (2021).
Towards information management framework for digital twin in aircraft
manufacturing. Procedia CIRP, 96, 163–168.
https://doi.org/10.1016/j.procir.2021.01.070
119
Smith, J., et al. (2022). Collaborative relationships and information sharing in mitigating
disruption impact of aircraft manufacturing supply chains. International Journal
of Production Economics, 198, 112–126.
Snyder, H. (2019). Literature review as a research methodology: An overview and
guidelines. Journal of Business Research, 104, 333–339.
Som, R., Chan, Raksmey, C., & Dumitrascu. (2020). Conceptualizing a framework: A
critical review of the development of change management theories. Studies in
Business and Economics, 15(2), 205-214. https://doi.org/10.2478/sbe-2020-0035
Son, S., Kim, J., Lee, J., & Ahn, J. (2019). Improving supply chain management process
using design structure matrix-based cross-functional analysis. Systems
Engineering, 22(4), 313–329. https://doi.org/10.1002/sys.21484
Souza-Luz, A.R. & Gavronski, I. (2020). Ambidextrous supply chain managers in a slow
clockspeed industry: Evidence from a Brazilian adhesive manufacturer. Supply
Chain Management, 25 (1), 101–114. https://doi.org/10.1108/SCM-09-2018-0318
Subhash, B. (2022). Causes and consequences of global supply chain disruptions: A
theoretical analysis. IUP Journal of Supply Chain Management, 19(4), 7–24.
The White House Press. (2021). Building resilient supply chains, revitalizing American
manufacturing, and fostering broad-based growth. 100-Day Reviews under
Executive Order 14017. A Report by The White House.
https://www.whitehouse.gov/wp-content/uploads/2021/06/100-day-supply-chain-
review-report.pdf
Togwe, T., Eveleigh, T. J., & Tanju, B. (2019). An additive manufacturing spare parts
120
inventory model for an aviation use case. Engineering Management Journal,
31(1), 69–80. https://doi.org/10.1080/10429247.2019.1565618
Torralba-Carnerero, G., García-Nieto, M., Ramón-Jerónimo, J. M., & Flórez-López, R.
(2024). Supply Chain Management Control in the Aerospace Sector: An
Empirical Approach. Logistics, 8(4), 132.
https://doi.org/10.3390/logistics8040132
U.S. Department of Health and Human Services. (1979). The Belmont Report: Ethical
principles and guidelines for the protection of human subjects of research.
http://www.hhs.gov/ohrp/humansubjects/guidance/belmont.html
Wang-Mlynek, L., & Foerstl, K. (2020). Barriers to multi-tier supply chain risk
management. The International Journal of Logistics Management, 31(3), 465–
487. https://doi.org/10.1108/IJLM-09-2019-0256
Xerri, D. (2018). The use of interviews and focus groups in teacher research. Clearing
House: A Journal of Educational Strategies, Issues, and Ideas, 91(3), 140–146.
https://doi.org/10.1080/00098655.2018.1436820
Yin, R. K. (2015). Qualitative research from start to finish (2nd ed.). Guilford Press.
Zutin, G. C., Barbosa, G. F., de Barros, P. C., Tiburtino, E. B., Kawano, F. L. F., & Shiki,
S. B. (2022). Readiness levels of Industry 4.0 technologies applied to aircraft
manufacturing- a review, challenges and trends. International Journal of
Advanced Manufacturing Technology, 120(1/2), 927–943.
https://doi.org/10.1007/s00170-022-08769-1