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Successful Strategies Manufacturing Leaders Use to Increase
Section 1: Foundation of the Project
Background of the Problem
Some manufacturing business leaders lack strategies to improve and maintain
production employees’ productivity. Most leaders of countries rely on manufacturing for
economic advancement (Haleem et al., 2020). Economic improvements create prosperous
countries. Leaders of manufacturing businesses produce products that nurture
communities and worldwide growth (Scown & Keasling, 2022). The economy and
human welfare have been enhanced by manufacturing leaders.
To remain competitive and successful, manufacturing leaders may adopt practices
that allow for rapid responses to most manufacturing problems (Aiyedogbon, et al.,
2022). The lack of new manufacturing strategies and employee productivity may decrease
production, provide less employment opportunities, decrease revenue, and disallow
economic transformation (Aiyedogbon et al., 2022). The findings of this study may
provide manufacturing business leaders with knowledge about strategies to improve and
maintain production employee productivity.
Business Problem Focus and Project Purpose
The specific business problem was that some manufacturing business leaders lack
strategies to improve and maintain production employee productivity. Manufacturing
business leaders require specific skills to increase employee productivity (Carpenter &
Loveridge, 2020). United States leaders spend over $3 billion on leadership development
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each year to improve employee productivity (Waruwu et al., 2020). Manufacturing
business leaders have limited skills, knowledge, and capabilities to improve and maintain
employee productivity leading to lack of production and manufacturing profits.
Therefore, the purpose of this pragmatic inquiry design study was to collect data
and explore the strategies used by manufacturing business leaders to improve and
maintain the productivity of production employees. The targeted population consisted of
five manufacturing plant business leaders from various middle Tennessee plants who
successfully improved production employees’ productivity. I utilized a purposeful
sampling technique. The sample size of five manufacturing leaders was appropriate for
this study because each leader had specific knowledge regarding selective applications in
production. I accessed the participants through local community affiliations. I used the
Walden University Online Library in addition to government databases and Google
Scholar as key sources for this study.
The conceptual framework for this study was systems theory. The key concepts of
systems theory are input, output, environment, and boundaries (von Bertalanffy, 1968).
Von Bertalanffy (1968) defined systems theory as universal, perfect, imperfect, and
defective theory (Ali et al., 2022). Von Bertalanffy indicated that the systems theory may
provide manufacturing leaders with added focus to increase productivity.
Research Question
What strategies do manufacturing business leaders use to improve and maintain
the productivity of production employees?
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Assumptions and Limitations
Assumptions
Assumptions are perspectives or ideas that the researcher believes to be true
without proof or evidence (Erbas & Ocal, 2024). My primary assumption in this study
was the importance of leadership strategies in increasing employee productivity. I
assumed that the leaders implement successful strategies to improve production at
manufacturing organizations. Another assumption was that the surveys and five
participants selected for the study from various manufacturing organizations in middle
Tennessee would be sufficient for the study. I assumed that the participants had previous
experience implementing successful strategies to increase employee productivity. The
final assumption was that participants would openly provide honest and unbiased
feedback during the research process.
Limitations
Tennant and Ross-Hellaver (2020) described limitations as uncontrollable
elements within a study. Assumptions can be limitations. I was limited by the
interviewees’ honesty, forthrightness, and willingness to share documentation. I was also
limited by the pragmatic inquiry design. Manufacturing is an unpredictable production
process because of elements of reliability and dependability. Dependability and reliability
are needed by manufacturing leaders to establish accountability for supplies and good
working order of machinery (Tennant & Ross-Hellaver, 2020). The first limitation in this
study was the reliability of suppliers since their products may be unavailable or delayed.
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Another limitation was the dependability of machinery. Machines have unforeseeable
mechanical breakdowns since their parts can wear out. The final limitation was the
population for the study was limited to leaders from manufacturing organizations in
middle Tennessee.
Transition
Section 1 included a description of systems theory, which involves the key
concepts of input, output, environment, and boundaries (see von Bertalanffy, 1968).
Concepts of systems theory could potentially provide manufacturing leaders with added
focus to increase productivity. In Section 1, I also provided the foundation of the study
and background of the problem. Section 1 also contained a discussion of the business
problem focus and project purpose, overarching research question, and assumptions and
limitations for case study.
Section 2 will contain the literature review. In Section 3, I will provide an
overview of the business project, which includes details from the examination and
investigation process, my role of the researcher, the selected participants, the research
method and design, population, and sampling procedures. Section 3 will also include
descriptions of the ethical research process employed in the study, the data collection
instruments and technique, data analysis, and trustworthy strategies. Section 4 will begin
with an introduction and overview of the study before moving on to a presentation of the
findings, applications to professional business practice, and implications for social change
as well as my recommendations for actions and further research, and my
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reflections and conclusions.
Section 2: The Literature Review
A Review of the Professional and Academic Literature
The purpose of this pragmatic inquiry study was to explore the strategies used by
manufacturing business leaders to improve and maintain the productivity of production
employees. U.S. company leaders spend over $3 billion on leadership development each
year for improved productivity skills (Waruwu et al., 2020). The adoption of new
manufacturing strategies should increase productivity, provide employment opportunities,
increase revenue, and provide economic transformation (Aiyedogbon et al., 2022).
The purpose of this review of professional academic literature was to synthesize
written works relating to the topic of this doctoral study. I used the literature review to
draw out themes and concepts related to the research topic from peer-reviewed literature.
The key resources for this literature review were the Walden University Library,
government databases, and Google Scholar. The two databases I used the most were
ProQuest and Business Search Complete. Other databases searched included Academic
Search Complete, Education Source, Emerald Insight, Expanded Academic ASAP, Green
File, Sage Journals, and Scholar Works located in the Walden University Library. The
keyword search terms included manufacturing businesses, manufacturing leaders, middle
Tennessee manufacturing, manufacturing strategies, and manufacturing failures. The
study findings included 161 peer-reviewed articles and 11 non-peered reviewed articles in
the review of professional and academic literature, while the total number of references in
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the review was 172. The sources included 146 references in this review published within
the last 5 years of this study representing 85% of the literature review.
In the first section of the literature review, I explain that input and output are
results of production planning and employee productivity, which are the main managerial
functions of manufacturing plants. Santander et al. (2022) noted that the sole
responsibilities of manufacturing plants were to produce products and enable employee
productivity. I also explain how optimal and flexible planning may enhance employee
productivity through material availability, human resources, and updated equipment (see
Sanjari-Par et al., 2021). In the next section, I described the production environment
regarding change, successful programs, and leadership styles. The final section includes a
discussion of boundaries for manufacturing leaders, such as failures in lean
manufacturing, employee resistance, employee attitudes, and organizational and
transformational change. Systems theory is discussed throughout the literature review
through inputs and outputs, environment, and boundaries.
Inputs and Outputs
Production Planning and Employee Productivity
A manufacturing plant’s main function is to produce products. Manufacturing
leaders’ sole functions are production planning and employee productivity (Natisi et al.,
2019). Planning includes program coordination of plant managers, quality leaders, and
suppliers during the production process (Jiang, et al., 2022). Machado et al. (2020) noted
production scheduling affects manufacturing operations, thus improving the
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manufacturing environment. Production leaders who demonstrated high levels of
commitment experienced higher levels of workplace productivity (Yadav et al., 2021).
Manufacturing leaders who had effective production planning and enhanced employee
productivity-built product accuracy and helped create a corporate culture conducive to
improving employee productivity.
Manufacturing leaders create a successful manufacturing environment with
production planning and employee productivity. Yazdani et al. (2022) noted
manufacturing company leaders strived to efficiently plan available resources regarding
materials, equipment, and workforce. Production planning affects the degree of excellent
services provided (Machado et al., 2020). Planning and scheduling methodologies
influence the improvement in delivery performance of any manufacturing organization
(Yazdani et al., 2022). Production planning and employee productivity can potentially
provide a successful manufacturing environment through proper planning of material,
equipment, and labor.
When production leaders provided proper planning of material, equipment, and
labor, product delivery was enhanced. Manufacturing leaders can consider systems theory
for materials to prepare for the inputs of the product. Systems theory involves the key
concept of input from the outside of the system (von Bertalanffy, 1968). Efficiency
optimization and planning also means avoiding excess inventory. Yazdani et al. (2022)
discovered that it was costly to store and manage inventory that may eventually have
been thrown out, such as outdated materials or materials that are no longer useful for
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production. Production planning efforts not only involve planning material but proper
planning of equipment and people. Manufacturing leaders need the right equipment at the
right time, and qualified employees for the task. Workers can complete tasks as scheduled
when materials are available at the right time. Quick change over techniques lowered
setup schedules for products of standard production (Kumar et al., 2018). Waiting for
materials results in production downtime. Sometimes, production employee schedules are
adjusted, and the hours are reduced, which lowers employee morale (Saputra &
Mahaputra, 2022). Low employee morale can be heightened by proper planning of
inventory (Saputra & Mahaputra, 2022). Management leaders need to take corrective
measures to balance inventory and employee morale.
Material requirement software was an effective source allowing manufacturing
leaders to plan their inventory. Manufacturing companies can be competitive by using
material requirement software and aligning their processes with current trends and
successful practices (Pech & Vanecek, 2018). Material requirement software is an
effective practice for manufacturing companies because it helps with material
requirements, employee schedules, and employee morale.
Effective Practices
Material requirement software is an effective practice within the manufacturing
industry because organizations that employed it were more successful and updated with
trends; however, software may become outdated, inefficient, and hard to use (Pech &
Vanecek, 2018). Manufacturing companies depend on their ability to respond to changes
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and effective practices to enhance productivity (Pech & Vanecek, 2018). Productivity is
directly affected by effective production planning and practices (Machado et al., 2020).
Production planning, effective practices, and scheduling directly affect the success of the
manufacturing company and the satisfaction of customers.
Scheduling
Manufacturing schedulers decide the service order of the production plan because
schedulers know what production is needed (Tripathi et al., 2022). Scheduling directly
affected the success of the manufacturing company by defining a clear production plan
(Pech & Vanecek, 2018). Schedulers allocate resources and decide service requests (Pech
& Vanecek, 2018). Productivity is increased through scheduling, effective planning, and
an action called value stream mapping (VSM; Machado et al., 2020).
VSM
Leaders use VSM to track the flow of material, reduce production costs, increase
productivity, and provide plans in the future (Pech & Vanecek, 2018). Leaders use VSM
to take the product from production to the customer (Pech & Vanecek, 2018). VSM maps
the flow of material and what was learned, coordinates the performance of manufacturers
and suppliers, and distributes to customers (Windmark & Anderson, 2018). A second step
in VSM is to map a future improvement plan (Pech & Vanecek, 2018). Manufacturing
leaders tracked the flow of material to help reduce waste and enhance productivity. VSM
helps predict future improvements for production by laying the groundwork for new
production. The future state map predicts levels throughout the production process (Pech
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& Vanecek, 2018). The reduction of production costs, increases in productivity, and the
act of a specific product brought through managerial tasks is considered VSM
(Windmark & Anderson, 2018). While VSM is a cost-effective tool, takt time reduces
premature spending on wages and raw goods.
Takt-time
Takt time represents the exact pace at which a product needs to be produced to
meet customer demand (Pech & Vanecek, 2018). Pech and Vanecek (2018) noted takt
time relies on the customer’s wants and needs. The importance of measuring takt time is
the need to be ahead of demand (Pech & Vanecek, 2018). Producing ahead of demand can
result in premature spending on material and production wages (Windmark & Anderson,
2018). Takt time may prevent leaders from producing other goods and cause additional
costs due to excessive product.
Production leaders want to always monitor costs, and the main concept that
leaders address is the cost to produce a certain quantity of items. Production costs include
a variety of expenses, such as manufacturing overhead, indirect material and labor,
consumables, and supplies (Windmark & Anderson, 2018). Natural resource extraction
companies, such as coal mines and oil fields, have taxes/royalties due to the government
that are considered production costs (Windmark & Anderson, 2018). Cost of production
is money spent to produce products and services (Windmark & Anderson, 2018). The cost
to produce a certain quantity of products includes taxes and royalties, while the cost of
production includes direct and indirect costs.
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One expense that directly relates to a company’s revenue is production cost (Peck
& Vanecek, 2018). Manufacturers experience production costs relating to both materials
and labor (Windmark & Anderson, 2018). Labor is considered a direct production cost
(Windmark & Anderson, 2018). Manufacturing plants have indirect costs, such as
utilities, managerial and administrative salaries, rent, and overhead expenses (Windmark
& Anderson, 2018). Cost of production is affected directly through materials and labor
and indirectly through utilities, payroll, lease, and overhead expenses. Production requires
timeframes and deadlines; thus, production leaders need to know how long it will take to
produce a product.
Leaders address the time it takes to produce a product by establishing an effective
assembly line. Manufacturing leaders examine products to establish part combinations
and any issues that may affect production (Windmark & Anderson, 2018). The production
design is assigned to different lines or individuals on the production floor (Abedi & Zhu,
2020). Leaders monitor time, examine products, and design effective assembly lines to
make profitable products. During this process, leaders ask two primary questions, what is
the cost to produce a certain quantity of items and how long does it take to produce the
product, because the manufacturing process needs to be profitable and successful for the
manufacturing plant. One reason leaders want the right answer is to gain satisfied
customers. Failure to answer either of these two questions might result in additional costs
or even a loss due to missed deadlines or excess/deficit of inventory, not to mention the
lost opportunities (Jalali et al., 2020). Leaders explore options to satisfy customers,
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reduce costs, meet deadlines, control inventory, and gain opportunities. Employee
productivity in middle Tennessee plants may be increased by ensuring instructions,
computers, equipment, employees, and materials are available when needed
(see Jalali et al., 2020). Production planning and employee productivity are necessary for
a manufacturing plant to function; however, optimal and flexible planning may enhance
the operation.
Optimal and Flexible Planning
To stay competitive and to fulfill changing market needs, manufacturing plants
must adapt to optimal and flexible production planning. Optimal and flexible planning
enhances employee productivity through material availability, human resources, and
updated equipment (Sanjar-Par et al., 2021). Manufacturing production plants sometimes
shift their focus from mass production to standard products to suit an individual task
(Jalali et al., 2020). Supple and flexible manufacturing systems are suitable for hard to
please customers (Jalali et al., 2020). Product launches are affected by down-time;
therefore, many manufacturing facilities use supple equipment and flexible systems to
control service levels, set-up times, and demand distributions. Optimal and flexible
planning satisfies hard to please customers through flexibility and enhances productivity
through material availability as well as better equipment and personnel.
Flexible Systems
Leaders consider correlating products in a flexible manufacturing system;
however, flexible manufacturing plant leaders consider adapting their manufacturing
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systems to remain competitive. Configurable manufacturing systems allow manufacturing
plants to be flexible, increasing employee productivity (Jalali et al., 2020). Manufacturing
plants must constantly adapt their manufacturing systems to increase efficiency and be
competitive. Production managers use efficient planning to detect constraints; however,
production uncertainty causes a decrease in production (Puglieri et al., 2022).
Manufacturing supervisors must be responsive to customer demand and flexible to meet
short-term orders to meet delivery deadlines (Pohlmann et al., 2020). When production
leaders correlate products, adapt manufacturing systems, stay competitive, and meet
short- and long-term orders, employee productivity increases, and customer demands, and
on-time delivery are satisfied. Manufacturing leaders are concerned about delivery
deadlines and market share, so they need to be aware of customer demands, meet
customer delivery deadlines, and react in a timely manner to maintain the company brand
and market share. Flexibility allows a production planner to achieve higher productivity
and meet customer demands (Jiang et al., 2022). Manufacturing leaders are
encouraged to treat problems as opportunities for innovation to maintain the company
brand and encourage production employees to try new approaches that may improve
productivity (Nithia, 2024). The leaders’ production process may be enhanced by
operationalizing and incorporating organizations’ goals into production process and
thereby meeting leadership’s long-term organizational goals (Kennedy, 2020). Customer
demands, delivery deadlines, company brand, and market share are enhanced by
flexibility, organizational goals, and new approaches to increasing employee productivity
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(Hansen, 2022). Hansen (2022) noted that management leaders use Kanban boards as a
project management tool to visualize a project’s progress. Kanban boards breakdown
projects into tasks, allowing for accountability and transparency in team projects
(Hansen, 2022). Customer demands are met by using techniques that produce the desired
amount of product (Puglieri et al., 2022). The use of various types of Kanban boards
allows manufacturing leaders the insight to forecast a project’s progress.
Benefits of Kanban Boards for Project Management?
Kanban boards provide benefits for manufacturing leaders and manufacturing
employees, allowing managers to visualize manufacturing progress and optimize
workflow. Hansen (2022) noted that Kanban boards make teams more accountable.
Manufacturing managers can use them to identify bottlenecks, have better insights into
production, and facilitate collaboration (Hansen, 2022).
Kanban software offers many features, such as collaboration and time-tracking, to
ensure team member accountability and equal workflow distribution (Hansen, 2022).
Work in progress (WIP) is a necessary tool in the manufacturing process; WIP limits a
project or parts of a project, so that manufacturing employees do not take on more than
necessary all at once (Hansen, 2022). Hansen (2022) noted that visual diagrams and
charts give managers visibility into whether a project is on track for timely completion.
Manufacturing managers also depend on Kanban tools for task creation and
dependency. Some projects needed to be broken down into subtasks, and Kanban tools
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allow manufacturing managers to move them visually across the board and line tasks
between projects, thus getting closer towards a goal. Manufacturing plant leaders used
Kanban software and tools to produce the desired amount of product.
Best Kanban Software and Tools
Some of the best Kanban software and tools were Jira, Kanbanize, and
Monday.com. Jira was used for large projects and complex workflows (Hansen, 2022). It
provided manufacturing leaders with project overviews and ready-to-use workflows that
were customized and could be used for future projects. Jira mixed and matched Agile
methodologies, provided customizability, task prioritization, had predictive analytics, and
templates and reports (Hansen, 2022). Although Jira had many beneficial features it had
drawbacks. Some were bugs, clunky mobile app navigation, difficulty with
implementation and migration, non-reusable reports, and small default file size (Hansen,
2022). Jira was useful for future projects, templates, reports, and customizability but may
have navigation and implementation problems. Many leaders choose Jira software while
other leaders choose Kanbanize.
Kanbanize was Kanban software that promoted visibility across all teams and
projects and had built-in features that kept manufacturing employees on schedule
(Hansen, 2022). Kanban’s WIP feature could be applied to a column, swim lane, or user.
By using this feature, manufacturing employees stayed on task, eliminated wasteful
activities, and prevented scope creep (Hansen, 2022). Kanbanize software required the
manufacturing leader to consider its time-tacking functionality, robust reporting features,
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modifiable project changes, easy setup, and automated, configurable workflow
management (Hansen, 2022). While Kanbanize software appeared to be exactly what the
manufacturing leader was looking for, the leader needed to review the cons as well. These
cons were the difficulty in finding old/archived cards, complicated reporting widgets, and
too many choices for access control (Hansen, 2022). Kanban promoted visibility, had
WIP features, eliminated wasteful activities, and had robust reporting features. While
Kanban held exceptional features, be careful of the excessive choices for access control.
Kanbanize was remarkable for keeping employees on schedule but
Monday.com could offer a layout in another view.
Monday.com offered a traditional Kanban layout in another view (Hansen, 2022).
This software could generate workspace based on specific customer orders;
Manufacturing leaders may be required to produce a part for a specific customer.
Monday.com software could help with this order. Monday.com was loaded with customer
support, a wide range of functionality, time-tracking ability, and automation features
(Hansen, 2022). Manufacturing leaders realized that Monday.com software featured
breadth that could overwhelm users, the limitations or difficult integrations with tools and
the limited data linking between boards (Hansen, 2022). Manufacturing leaders should
consider Monday.com boards for project management because they could help with
specific orders, time-tracking and automation. Although Monday.com had difficult
integrations and limited data linking boards, Monday.com was software that contributed
to inputs and outputs of production.
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In summary, input and output were the result of production planning and
employee productivity. System theory used input and output to establish effective
practices and mapping. Employee productivity could be increased through input and
output and the use of Kanban Software and tools. In addition to input and out, system
theory consisted of the surrounding environment.
Environment
Sensitize Managers
Manufacturing organizations created challenges and work environments to
motivate, educate, and sensitize managers to achieve employee goals (Bakker et al.,
2018). Manufacturing managers considered coaching employees to provide constructive
feedback and set the stage behaviors (Bakker et al., 2018). Managers created learning
environments (Bakker et al., 2018). Rewards needed to be given to employees for
supporting constructive resistance behaviors (Bakker et al., 2018). Manufacturing leaders
created work environments that challenge, motivate, reward, and set goals for production
employees. Goal orientation (GO) assisted managers in avoidance behaviors (Bakker et
al., 2018). The employee work environment was enhanced by goal orientation.
Goal Orientation Theory
Goal orientation theory was important to employee adaptation and self-awareness
(Bakker et al., 2018). Goal Orientation sets an atmosphere of quality work without
personality interruptions (Bakker et al., 2018). Goal Orientation reported greater
interaction between supervisors and employees than with performance orientation
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(Bakker et al., 2018). Furthermore, manufacturing leaders in middle Tennessee
acknowledged the importance of work environments and goal orientation to motivate,
educate and coach employees while providing GOs which resulted in quality work and
greater employee production and positive interpersonal relationships.
Interpersonal Relationships
Interpersonal relationships created stress in a work environment (Bakker et al.,
2018). Sometimes managers feel stress from employees’ adaptive and maladaptive
selfregulatory behaviors (Brakker et al., 2018). Managers relied on employees to achieve
important work goals (Bakker et al., 2018). Employee behavior drove GO and supports
the accomplishment of task objectives (Bakker et al., 2018). Goal Orientation was a
positive measure for employees but provided resistance behavior patterns (Bakker et al.,
2018). Interpersonal relationships could create a stressful environment and affect
employee behaviors and goals. Leaders needed to analyze GO resistance behavior
patterns to evaluate performance and develop employee capabilities.
Goal Orientation Resistance Behavior Patterns
There were three types of GO: Learning goal orientation, which was a desire to be
capable and achieve good performance evaluation (Bakker et al., 2018).
Performanceprove goal orientation (PPGO) was a strong feeling to discourage
competence that led to dark opinions from others (Bakker et al., 2018). Performance
approve goal orientation (PAGO) would overcome involvement with others that view
developmental abilities, pinpoint inside regulation, and take advantage of challenges
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(Bakker et al., 2018). Goal Orientation resistance behavior patterns sought good
performance evaluation, discouraged competence, and took advantage of challenges.
Employees with higher LGO would adopt interactions associated with an incremental or
developmental view of ability, focused on internal standards, and an approach to
perspective to achievement (Bakker et al., 2018). LGO was associated with an adaptive
response pattern in which employees were persistent in the face of difficulties, exert
effort, interact in solution-orientated activities, showed a desire to take risk, and enjoyed
challenges that met an intrapersonal standard (Bakker et al., 2018). Employees with a
higher PPGO or PAGO engaged in interactions based on a fixed view of ability, a concern
for external standards, and an avoidance approach for perspectives (Bakker et al., 2018).
PPGO and PAGO are different because PPGO wants positive responses from others,
positive reviews, and performance approvals, while those with PAGO avoided looking
bad to others and negative self-evaluations (Bakker et al., 2018). Performance orientation
was a greater self-image and representation (Bakker et al., 2018). Employees with greater
PPGO were protective of their egos while those in PAGO took risks that could lead to
adverse reviews (Bakker et al., 2018). LGO deals with difficult work situations,
challenges, external concerns, performance approvals, self-image, and taking risks. In
addition to challenging work environments and GOs, manufacturing leaders in middle
Tennessee included performance orientations to motivate employees and proved to be an
asset during organizational change.
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Organizational Change
Organizational change and dynamics worked hard on a manufacturing company
and the employees. Some key points to remember during organizational change were
trying to visualize the company’s dilemmas before applying and viewing now and after
situations (Rieley, 2016). This knowledge was important to limit unexpected
consequences from popping up thus damaging the process and behavioral structure of the
organization (Rieley, 2016). Correspond with the employees affected by the process
(Rieley, 2016). These employees knew how work gets done in the organization and
avoided roadblocks to implementation (Rieley, 2016). Production leaders structured
organizational change by trying to visualize the company’s dilemmas, limiting
unexpected consequences, and corresponding with employees. Organizational change
was managed through the knowledge and understanding of production employees.
Manufacturing leaders who understood production employee engagement created an
opportunity for organizations to invest in the intellectual capital of their employees thus
creating competitive advantages (Sungmala & Verawat, 2021).
Manufacturing leaders worked with the key manufacturing employees regardless
of their seniority, tenure, or union affiliations (Rieley, 2016). By developing rapport with
key manufacturing influences, time, effect, and distress was eliminated (Rieley, 2016).
When manufacturing leaders understand production employees, competitive advantages
are created, and positive influences develop. Organizational change was made less
stressful for employees and the organization if manufacturing leaders understood
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employee behaviors and the importance of employee engagement and invested in their
training and knowledge of production. Employee behaviors changed over time. Rieley
(2016) noted organizational leaders revised organizational shifts in accordance with when
revised organizational structures were created. The manufacturing leaders saved both
time and money and reduced employee and managerial turnover by revising
organizational shifts and structure (Rieley, 2016). Employee behaviors shifted over time
due to changed organizational shifts and structures. Moreover, manufacturing leaders in
middle Tennessee worked with key employees, visualized company dilemmas,
encouraged employee engagement, revised employee shifts, and structure, and monitored
employee behaviors during organizational change thus preparing for manufacturing
change.
Manufacturing Change
Manufacturing change was inevitable and influenced numerous events inside and
outside an organization (Gori et al., 2020). Understanding the origin of employee’s
reactions to change played a role in coping with organizational change and resistance
(Gori et al., 2020). Events were influenced by manufacturing change inside and outside
organization through employee resistance. Manufacturing organizations created a
competitive advantage over their counterparts by realizing the origin of employees’
reactions to change. Gori et al. (2020) explained managing change and employees’
reaction to change became a way of life for manufacturing organizations.
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Manufacturing leaders created a production environment of innovation by using the skills
and motivation of its employees to help solve problems and created innovative solutions
for increased productivity (Nunes & Abreu, 2020). Employees at all levels embraced new
techniques of working thus promoting different mindsets (Nunes & Abreu., 2020). It was
critical for manufacturing organizations to have the dexterity to accept new changes and
adapt to survive (Gori et al., 2020). Organizations used the recipe for flexibility,
longevity, and success to prevail in a changing environment (Gori et al., 2020).
Organizational change caused increased anxiety among employees at each level in a
manufacturing organization (Gori et al., 2020). This unsettled environment threatened the
balance of control (Gori et al., 2020). Manufacturing leaders created an environment of
innovation, embraced new techniques, accepted new changes, and adapted to survive.
Manufacturing change may be successful through understanding change, attitude,
flexibility, and accepting new techniques and skills. Manufacturing leaders had the skills
and experience to manage varying degrees of uncertainty and balance the levels of
tolerance within the organization (Gori et al., 2020). Employment pushed employees to
feel afraid, anxious, threatened, and uncomfortable resulting in resistance to change (Gori
et al., 2020). Gori et al. (2020) noted human nature as one factor of resistance to change
and all elements related to the process of change. Change was a force that shifts
conditions within a company and human communities (Gori et al., 2020). Skilled leaders
managed and monitored employee resistance and uncertainty. Resistance to change was
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driven at the employee level and was leveraged by manufacturing organizations to foster
change.
Manufacturing leaders fostered change to assist employees with resistance to
change (Gori, et al., 2020). Manufacturing employees withdrew from the fear of ideas
and became rebellious due to unclear decisions made by management (Gori et al., 2020).
Any change within an organization should be clear and straightforward prior to
implementation (Gori et al., 2020). Manufacturing organizations struggle with
implementing new ideas, changing their culture, reacting to market demands, and staying
competitive. Manufacturing leaders overcame employee resistance to change by making
clearer decisions and being straight forward before implementation. Many employees
were concerned about their jobs because of the change.
Many employees resisted change because their jobs were directly affected;
therefore, employees created a rippling effect through the organization (Gori et al., 2020).
Some employees were troubled by pressures in manufacturing organizations that forced a
different behavior or accepted a reward system that may not be rewarding (Gori et al.,
2020). By developing relationships with manufacturing influencers, distress was
eliminated (Rieley, 2016). Employees changed their behaviors when their beliefs
outweighed the benefits of current environment (Gori et al., 2020). Moreover, employee
attitudes toward change affected employee willingness to consider and implement the
change. Manufacturing leaders in middle Tennessee played a role in coping with
resistance and organizational change through understanding change, attitudes, and
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flexibility thus using skills and motivation of their employees to create innovative
solutions for readiness to manage change and increase productivity.
Motivational Interviewing on Readiness to Change
Motivational interviewing on readiness to change was a dialogic approach that
helped participants to resolve their ambivalence to change (Grimolizzi-Jenson, 2018).
Manufacturing leaders considered change when challenges occurred and adapted to rocky
roads in their production environment (Grimolizzi-Jenson, 2018). Employees had
negative and positive attitudes to change. Grimolizzi-Jenson (2018) noted that ambivalent
attitudes developed between cognitive, emotional, and behavioral dimensions.
Ambivalence also affected the attitude formation and intentions of readiness to change.
Manufacturing leaders resolved employees’ ambivalence to change and formed positive
attitudes to change. Motivational interviews on readiness to change helped manufacturing
leaders to change employee ambivalent attitudes and created a readiness to change.
Readiness to Change
Readiness to change is increased when a declining level of ambivalence towards
the enactment of new behavior occurs (Grimolizzi-Jenson, 2018). Employees processed
self-change and a decisional balance when benefits outweighed their costs. Grimolizzi-
Jenson (2018) noted that an individuals’ readiness to change fluctuated by the relationship
between the change agent and the change recipient. Employees were more apt to accept
readiness to change if management showed a genuine interest in the welfare of the
25
organization and the employees. Manufacturing leaders needed to prepare employees for
change.
Ethical Considerations and Change
Employees needed to be changed ready and change resilient (Belschak-Jacobs &
Keegan, 2018). Employees reacted to change because of preoccupation with failure,
sensitivity to operations, and commitment to resilience (By et al., 2015). Self-interest
individuals reacted to prestige, power, and job security. Employees were prepared for
change by staying open-minded and flexible. Organizational change was unpredictable.
Organizational change was a situation of high uncertainty and triggered justice
concerns (Belschak-Jacobs & Keegan, 2018). Employees cared about themselves as well
as other colleagues. Employees had a genuine concern for the well-being of others and
the impact of internal and external stakeholders (Belschak-Jacobs & Keegan, 2018).
Downsizing was sometimes judged in ethical terms (Belschak-Jacobs & Keegan, 2018).
Employees reacted to downsizing in two ways. Employees felt like victims of layoffs.
These layoffs were purely profit driven. Employees felt like survivors of an economic
crisis. Layoffs were the result of high uncertainty justice concerns. Employees no longer
felt psychologically connected to their work during organizational change.
Psychological contracts are broken if leaders are unable to live up to their former
commitments (Belschak-Jacobs & Keegan, 2018). Employers were careful with their
words and truthful. Employees were likely to observe violations towards themselves and
other employees when these contracts were broken. As a result of broken psychological
contracts, employees considered the broader organizational picture.
26
Change recipients resisted or embraced change, not because it threatened or
enriched individually, but change recipients worried about the effects to their colleagues
or organizational outcomes (Belachak-Jacobs & Keegan, 2018). Change induced
employees to quit and go to work for other organizations. Organizational charismatic
leadership facilitated a positive emotional reaction to change (Belachak-Jacobs &
Keegan, 2018). Employees decided to stay with an organization and embrace change if
leaders were charismatic and facilitated a positive reaction to change.
Alternative Theories
Production management leaders used the theory of motivation and continuous
improvement strategy to provide production employees motivation and to fulfill hierarchy
needs. Efficient production management leaders used different styles of leadership and
system theory to guide production employees and set a positive direction to increase
employee productivity. Theory of motivation and continuous improvement strategy can’t
set the scene for employee safety and self-esteem.
Theory of Motivation and Continuous Improvement Strategy
Production employees required motivation and strategies for improvement.
Individuals had basic needs met before reaching a greater level of need (Fehr & Gintis,
2022). Maslow (1943) developed the theory of motivation. Maslow (1943) explained the
needs have an order of importance. There were five basic hierarchy needs: (a)
selfactualization, (b) esteem, (c) safety, (d) physiological, (e) belonging/love (Maslow,
27
1943). Manufacturing employees were more motivated when hierarchical needs were
met.
Self-actualization is a desire to help oneself (Fehr & Gintis, 2022). Each person
had knowledge of their purpose (Fehr & Gintis, 2022). Esteem was an employee’s worth.
Production workers respect themselves as well as others. Production employees, with
high levels of self-esteem, changed or engaged in certain behaviors (Fehr & Gintis,
2022). Safety included regular routines, predictability, and emotional safety. Production
employees were more comfortable with familiar work routines and environment (Fehr &
Gintis, 2022). Safety was composed of a physical and mental concern. Self-actualization,
esteem, and safety provided employees with feelings of purpose, worth, and security.
Employees had survival and belonging. Physiological was the necessity for production
employees’ survival needs. Production employees needed food, water, and shelter to
perform their jobs. Fehr and Gintis (2022) noted that without food, water, and shelter,
production employees would not show up for work. Belonging/love was a necessity for
all production employees. Production employees needed to fit in. Group assignments and
assembly line work helped to provide a sense of belonging (Fehr & Gintis, 2022). An
individual had a sense of security, wanted to be healthy, and wanted to be able to interact
with others before setting goals (Fehr & Gintis, 2022). Production employees had
empathy for others and were friendly and respectful of others. Manufacturing employees
needed to have their basic survival needs met and to be productive. Manufacturing
leaders encouraged and motivated their employees. Employee motivation enhanced
28
production employee productivity. Production employee motivation was a necessary tool
to carry out organizational responsibilities and to enhance employee productivity (Forson
et al., 2021). Manufacturing production leaders were struggling due to employee
motivation (Kotera et al., 2022). Human reaction was driven by motivation (Szalma,
2014; Widarko & Anwarodin, 2022). Holston-Okae and Mushi (2018) noted
manufacturing leadership strategies improve job satisfaction and motivation through a
stable work environment. Motivation allowed management to meet the company’s goals
and enhance employee productivity.
Motivated production workers were more productive; therefore, more products
were made. Motivated production workers worked smarter and harder in creating a
positive effect on the manufacturing plants’ bottom line (Holston-Okae & Mushi, 2018).
Perks made production workers happy and enhanced their performance, tasks, and
deadlines (Holston-Okae & Mushi, 2018). Goals and rewards were true motivators for
production employees. Manufacturing leaders used motivation as a positive tool to
increase production. Production leaders set positive paths to achievement. The production
employees’ needs were the responsibility of their leaders (O’Donnell et al., 2019).
Leaders considered reinforcing workplace behaviors to keep production employees happy
and the plant flourishing (O’Donnell et al., 2019). Positive employee paths led to greater
production achievement. When leaders failed to set a positive setting and incentives,
employees were not as productive. Some manufacturing leaders failed to set incentives as
part of their system in the workplace due to the fear of making a mistake. The
29
compensation may be too much or too little (O’Donnell et al., 2019). In return,
production leaders continued working within their comfort level, which was a stable state
(O’Donnell et al., 2019). Employees were positioned with an organization and had goals.
Goals were important as they gave employees something to work on.
Occasionally leaders set goals for the sake of setting goals, offered performance
reviews that did not offer value, weak incentives, and production employees who had no
loyalty to success or failure of the manufacturing plant. O’Donnell et al. (2019) noted
employees needed to be recognized for their performance and loyalty to feel appreciated.
Widarko and Anwarodin (2022) noted that manufacturing leaders had failed to understand
the significance of motivation theory. The failure to understand motivation can result in
the loss of improved employee production. Production employees performed repeated
tasks and needed motivation. Production employees, who repeated tasks, became bored
because of technology. Repeated task boredom results in stress which increases system
vulnerability to performance failures (Widarko & Anwarodin, 2022). Forson et al. (2021)
noted employees acknowledge capabilities and skills as important factors in successful
production; therefore, motivation would increase employee dedication and production.
Furthermore, Forson et al. argued that without motivation, a competitive edge may be
lost. Effective leaders increased motivation to provide efficient production.
Leadership and System Theory
Effective leaders provided efficient manufacturing organizations (Chepkwei,
2018). Organizational success was a result of effective leadership and efficient production
30
(Karauri et al., 2024). Good leadership can inspire employees to develop efficient
production (Allahar, 2019). Kok et al. (2022) explored ways that leadership strategies can
be used effectively to influence employee well-being, to increase motivation, and to gain
employee productivity by removing insecurities and obtaining commitment to the
organization. Leadership encouraged and motivated employees to increase production.
One leadership strategy was considered systems theory. Leaders referred to systems
theory to establish boundaries for employees (von Bertalanffy, 1968). Leadership was a
process of multiple interactions which included system theory with followers where
leaders were continually persuading and altering employees’ behaviors until the goals of
an organization were met (Roberson & Perry, 2022). Employees’ behaviors changed
when boundaries were set, and persuasion was met. Leaders set the groundwork for
change by interacting with employees. Organizational leaders must understand the human
elements of change and the implications of employee contributions to make positive
change. Leaders needed to establish clear measures related to processes and create an
environment that was conducive to change (Liphadzi et al., 2020). Job satisfaction and
acceptance to change was increased by training, job involvement, and education (Chiva-
Bartoll et al., 2020). Leadership efficiency potentially had an influence on an
organization’s change abilities. Manufacturing leaders needed to develop successful
programs and leadership styles. Effective leaders provided efficient manufacturing
organizations (Chepkwei, 2018). Organizational success was a result of effective
leadership and efficient production (Karauri et al. 2024). Good leadership inspired
31
employees to develop efficient production (Allahar, 2019). Kok et al. explored ways that
leadership strategies can be used effectively to influence employee well-being, to increase
motivation, and to gain employee productivity by removing insecurities and obtaining
commitment to the organization. Leadership encouraged employees to increase
production. One leadership strategy was considered systems theory. Leaders referred to
systems theory to establish boundaries for employees (von Bertalanffy, 1968). Leadership
was a process of multiple interactions which included systems theory with followers
where leaders were continually persuading and altering employees’ behaviors until the
goals of an organization were met (Roberson & Perry, 2022). Employees’ behaviors
changed when boundaries were set, and persuasion was met. Leaders set the groundwork
for change by interacting systems theory with followers where leaders were continually
persuading and altering employees’ behaviors until the goals of an organization are met
(Roberson & Perry, 2022). Employees’ behaviors changed when boundaries were set, and
persuasion was met. Leaders set the groundwork for change by interacting with
employees.
Successful Programs and Leadership Styles
Leaders who understood successful programs and leadership styles helped
organizations develop programs focused on success (Dorta-Afonso et al., 2021). Most
employees did not understand the change and had trouble embracing the change.
Production employees saw change as something new and different, and the emphasis was
on what might be lost (Nemr & Lui, 2021). Quality manufacturing leadership embraced
32
change and acknowledged that leadership obligations and employee perceptions
influenced knowledge sharing and production (Dorta-Afonso et al., 2021). Benefits were
lost through the change process if leaders were without adequate strategies that included
production employees in the change process. Leadership styles and successful programs
helped employees accept change and increase production. Rival leadership encouraged
employees to embrace change and produce more.
Rival Leadership
Different styles of rival leadership changed the commitment of employees.
Employees were principal assets of the company in a competitive manufacturing
environment (Nemr & Lui, 2021). Transformational and transactional leadership styles
were two of the universal leadership styles (Saputra, 2022). Marashdah and Albdareen
(2020) noted knowing leadership styles may explain the effect on organizations.
Leadership style was valuable in middle Tennessee due to efficient production and being
more competitive. Transformational leadership pumped up production employees and
inspired change.
Transformational Leadership
Transformational leadership was known for inspiring and stimulating production
employees. Production employees and manufacturing leaders had a role to play in
adapting organizational strategies as a precursor to personal and organizational success.
Leaders used motivation to move followers’ selflessness through inspiring motivation
(Klein et al., 2022). Nyoach et al. (2024) highlighted the relationship between the
33
employee and the organization was two-fold. Dorta-Afonso et al. (2021) noted inspiring
production employees through promotional opportunities influenced employment in the
organization. Transformational leaders inspired, motivated, and stimulated employees to
create a long-lasting change (Kok et al., 2022). Many manufacturing organizations
contributed success to transformational leaders because of their abilities to stimulate and
inspire their employees. Transformational leadership offered many resources to increase
production. Transformational leadership provided resources in exchange for motivation,
productivity, and meeting goals. Leaderships combined with change methods to help
create the change process. Manufacturing organizations go through many change
processes from beginning to end. A transformational production leader was concerned
about production, employee’s motivation, stimulation, influence, and consideration. This
leader created valuable and positive differences in employees as transferred followers.
This form of leader did highly what he/she says. A transformational leader sets clear goals
and expectations (Pasla et al., 2022). A manufacturing leader stirred the emotions of
people, encouraged others, provided support and recognition, and was a model of
integrity and fairness (Pasla et al., 2022). Production transformational leaders built
strong, trust-based relationships with their production employees (Pasla et al., 2022).
Employees’ commitment to work and performance was enhanced by quality leadership
(Pasla et al., 2022). Transformational leaders cultivated the manufacturing organizations’
vision by setting goals that challenge production employees. Some leaders preferred a
shared leadership style to achieve certain outcomes.
34
Shared Leadership
Leaders analyzed work situations and chose appropriate leadership styles.
Employees reacted to shared leadership styles and certain leaders achieved certain
outcomes (Prabhu & Koodamara, 2022). Chen and Zhang (2024) noted that group work
was a result of shared leadership. Employees improved organization through shared
leadership by speaking up about concerns (Sulkowski et al., 2024). Prabhu and
Koodamara (2022) noted that better performance created more motivation thus more
employee participation. Today, manufacturing plants are expanding globally thus
leadership flexibility and broad leadership thinkers are needed. Production leaders used
shared leadership to take positions in their specialty fields. The exchange for products
was becoming more complex, increasing the demands on manufacturing leaders. Some
jobs were too large for one leader, therefore shared leadership was necessary.
As a leader in a shared environment, business leaders considered you a source
rather than the leader. The need for shared leadership maximized talent by distributing
leadership and influenced a more organizational climate and working conditions (Ong, et
al., 2022) As a shared production leader, share your power with capable employees. Do
not question the choices of those capable employees. Shared production leaders designed
an environment where employees were willing and invited new assignments. Shared
production leadership generated a feeling of partnership. Shared leadership made a bond
of closeness and open communication like a team paving the road for success (Sulkowski
et al., 2024). Moreover, the shared production leadership form delegation potentially
35
freed up time. Creating a shared production leadership vision produced a good working
environment enhancing organizational growth and accomplishment. While some leaders
developed a shared leadership other leaders used a servant leadership style.
Servant Leadership
Servant production leader wants you to develop his or her people and focus on
doing for others. Albdareen (2024) noted servant leadership enhanced team efforts.
Holston-Okae and Mushi (2018) noted servant leadership-built resiliency among
employees creating organizational commitment and flow. When production employees
had their needs met, overall performance ratings increased (O’Donnell et al., 2019).
Chiva-Bartoll et al. (2020) maintained that leadership required ongoing reviews and tests
to react to different situations. Chiva-Bartoll et al. explained that servant leaders should
develop, train, increase job involvement and manage outside interference from other units
or employees. Servant leaders were caring people who invest in their employees. Giving
time was a sure way to let employees know how much you care. Talk to employees about
non-work-related topics and show genuine interest like a person. For a servant production
leader, no job was beneath their pay grade. A servant production leader was never afraid
to roll up their sleeves and go to work. Successful leaders maintain a servant’s heart and
thus encourage their people to do the same. Only success and prosperity can come from
you showing your people what it means to serve first. Job satisfaction and commitment
came from believing in your employees, encouraging their work, and knowing change
was good (Chiva-Bartoll et al., 2020). The servant leader expected employees to see their
36
leadership and encouraged them to join their team whereas a transactional leader
expected more structure.
Transactional Leadership
Some leadership styles used rewards for employee good behavior while others
used punishment for employee bad behavior. Transactional leadership was a form of
leadership that expected order and structure and promoted compliance by employees
(Donkor et al., 2022). Transactional leadership rewarded and punished and managed both
passive and active behaviors by exception (Saputra et al., 2022). Rewards were granted
through positive behaviors and punishment was given through negative behaviors
(Peixoto & Muniz, 2022). Mistakes were prevented when transactional leaders took
notice of positive and negative behaviors (Saputra et al., 2022). Transactional leadership
was passive when an employees’ performance was poor (Saputra et al., 2022). Peixoto
and Muniz (2022) noted that transactional leaders used bargaining power called
punishments and rewards to gain desired working goals. Transactional leadership was
concerned about the individual employee rather than the group of employees.
Organizational goals in transactional leadership focus on the individual as
opposed to the team. Transactional leaders had a negative effect on loyalty (Saputra et al.,
2022). Transactional leadership showed changes to an organization through marginal or
structured alterations and which degrees of improvement production employees who
were then rewarded by leaders for reaching goals (Mitchell, 2024). Leadership style
related to the leaders’ personality, direction of goals, and values of employees (Saputra et
37
al., 2022). Transactional leadership styles potentially influenced production employees’
performance encouraging improved production rates. Some leaders used toxic leadership
which had a negative impact on employees.
Toxic Leadership
Toxic leadership relates to decreased levels of job fulfillment, lack of
commitment, employee investment, and increased intention to quit (Dorta-Afonso et al.,
2021). Daft (2021) noted that organizational reputation and employee morale was lost if
leadership was considered toxic. Rizani et al. (2022) noted that the progress of an
organization can be negatively impacted by unnecessary picking, exaggeration of a
situation, and not caring about others’ feelings. Manufacturing leadership, bad choices,
influential vendors, self-centered desires, and unprofessional behavior can change
organizational goals (Samuel et al., 2021). Resistance to change developed from a
multitude of broken agreements, trust violations with leadership, poorly written
processes, and these destructive actions developed negative employee attitudes, resulting
in employee resistance (Benjamin, et al., 2021). Employee resistance forced leaders to
reexamine or adjust the proposed change. Toxic leadership can ruin an organization’s
reputation, destroy employee morale, and damage the production environment.
In summary, the environment plays a huge role for manufacturing leaders to
increase production productivity. Manufacturing leaders sensitized managers, created
goal orientations, allowed for organizational change, and established ethical
considerations. Motivational interviewing and leadership styles helped to fulfill a solid
38
manufacturing environment. System theory included the environment as a component for
manufacturing leaders to be successful in increasing employee productivity in middle
Tennessee. Lastly, system theory offered boundaries as a general system for
manufacturing leaders to use.
Boundaries
Failures in Lean Manufacturing
There were several influences that acted as possible contributors to failures in lean
manufacturing programs. Contributing factors of lean manufacturing program failures
included leadership strategies, employee resistance to change, the ability of leaders to
deal with program changes, and the effect of leadership traits on lean manufacturing
programs change (Sika et al., 2022). Employees reacted to shared leadership styles/traits
and certain leadership styles achieved certain outcomes (Prabhu & Koodamara, 2022).
Understanding the origin of employee’s reactions to change played a role in coping with
organizational change and resistance (Gori et al., 2020). Leadership strategies and
employee reactions to leadership styles influenced failures in lean manufacturing and
employee resistance to change. Employees resisted changing their behaviors when
leadership was dishonest, unpleasant, or different from their traits. Resistance amongst
employees, even if it was one person, can damage or halt organizations’ change progress.
Employees resist change for various reasons. Change could be something new or
different. Change should be viewed by employees from a positive angle. Managers who
changed the process or order of production by analyzing it experienced greater success in
39
implementing new changes (Kho et al., 2022). Change was uncomfortable and managers
needed to find different ways of making it happen (Haesevoets et al., 2022). Managers
that utilize system theory can pilot through organizational change by intergrading systems
of thinking and learning (von Bertalanffy, 1968). Failures in lean manufacturing and
resistance to change happened when something was new and different, and employees
were out of their comfort zone. Employees’ resistance to change improved by using the
theory of motivation and continuous improvement strategy.
Employee Resistance
Employee behavior and attitude were two dimensions among change resistance.
Suggested methods by DuBose and Mayo (2020) for leaders to use to overcome
resistance to change were education, effective communication, facilitation, motivation,
negotiation, manipulation, cooperation, and coercion. Education, effective
communication, facilitation, motivation, negotiation, manipulation, cooperation, and
coercion were helpful methods to help overcome established beliefs and methods, allow
employees to embrace the new lean manufacturing philosophy (DuBose & Mayo, 2020).
By enabling leaders and employees to take charge of organizational processes in lean
program implementation, changes moved forward in the organization with ease. Without
proper attention to resistance activities, leaders could potentially impede the process
implementation and affect the overall outcome of the lean program change of
organizational processes in lean program implementation, changes moved forward in the
organization with ease. Without proper attention to resistance activities, leaders could
40
potentially impede the process implementation and affect the overall outcome of the lean
program.
Manufacturing leaders encouraged a positive environment and deviated from any
gloomy overcast. Resistance to change developed from a multitude of broken agreements,
poorly written processes, and trust violations with leadership, and these destructive
actions developed negative employee attitudes, resulting in significant resistance
(Benjamin et al., 2021). Leaders who can communicate change within an organization
were successfully leaned in implementation (Malesios et al., 2020). Daft (2022) noted
manufacturing leaders should investigate early for signs of getting off course and react
accordingly. Leadership strategies and successful lean program implementation were
interconnected. Manufacturing leaders developed a positive environment, motivated their
employees, and established employee trust to overcome employee resistance to
organizational change. Organizational changes affected employees and the organization.
Employees become less motivated and inspired when change affects an organization.
González et al. (2022) noted organizational complications, and aggressive competing
forced a company to evolve. Moreover, organizational environmental changes may result
in dismissal, loss of promotions or wages increases. Environmental changes affected
organizational employees, supervisors, managers, and contractors and may create bad
feelings towards the company (González et al., 2022). An organization’s environment can
change manufacturing plants’ financial incentives, organizational culture, and employee
comfort within the company.
41
Organizational change affected employee attitudes.
Employee Attitudes and Organizational Change
Employee attitudes were affected by company changes. This may be a result of an
employee’s mindset or events from the past. A large effect on employee attitudes was
belief in upper management. In specific terms, employee attitudes were based on
reliability and beliefs of management (González et al., 2022). Moreover, the amount of
change placed on employees was tried to their feelings and emotions which were lowered
thus creating less engagement and a decrease in performance. Organizational change was
a gradual process that happened over time. González et al. (2022) noted organizational
change may take time. This change contributed to the attitudes and beliefs of the
community. The shift changed the organizations’ record established over time.
Organizational change was a gradual event (González et al., 2022). Leaders noted that
Systems Theory can help change by recognizing the environment and adjusting better
employee attitudes and stability. The stability and well-being of employees may be
affected by organizational change (Rafferty & Jimmieson, 2016). Furthermore, change
causes periods of instability and the need to exist through the transition.
Manufacturing change results when the norm was altered. González et al. (2022)
explained resistance to change was a drawback from an event or situation and acceptance
to the event or situation was altered. Seventy percent of all change initiatives fail
(González et al., 2022). Employees feel uncertain about the unknown as an element of
change (González et al., 2022). Change affected employee acceptance and created
uncertainty. Change may affect an employee’s well-being at work. Rafferty and
42
Jimmieson (2016) noted resistance to change and exposure to organizational change
negatively influenced well-being at work. Negative workplace influences elevated the
risk of mental health problems, increased sickness and absence, adverse sleep patterns,
minor psychiatric morbidity, hospital admissions, and increased stress- related medicine
prescriptions. Plant changes such as layoffs/job elimination caused stress among
employees creating loss of sleep and health problems (Rafferty & Jimmieson, 2016).
Organizational change has affected employee work experiences and relations and may
affect their mental health and cause sleep disorders (Rafferty & Jammieson, 2016).
Organizational changes affected production employees mentally and physically.
Organizational change was composed of transformational change.
Transformational Change
Organizational change was divided into two forms of change (Rafferty &
Jimmieson, 2016). The first-order change was incremental change, and second order
change was transformational change (Rafferty & Jimmieson, 2016). Incremental changes
happened in sections at a time (Rafferty & Jimmieson, 2016). Transformational change
was an employee’s belief or feeling that organizational change had altered the main
system of manufacturing plant in ways of design, morals, and performance (Rafferty &
Jimmieson, 2016). Rafferty and Jimmieson, (2016) noted employees pay close attention
to change in the workplace. Transformational change and incremental change alter
employee feelings and performance. Change can affect the way employees think about
43
their jobs and the organization. Transformational changes may relate employees in ways
that affect their mindset therefore, creating sleeping disorders (Rafferty & Jimmieson,
2016). The manufacturing environment allowed employees to function as robots doing
the same function repeatedly thus achieving their deadlines (Rafferty & Jimmieson,
2016).
Changes made to employees’ routines were upsetting (Rafferty & Jimmieson,
2016). Employees were custom to the same environment and routine, any change may
cause confusion (Rafferty & Jimmieson, 2016). Production employees were used to
routines and change can affect their mindsets leading to physical disorders.
Transformational change can be a shocking event for a production employee.
Transformational change experiences by employees were a system shock. This prompts
manufacturing employees to change feelings about their position with the company
(Rafferty & Jimmieson, 2016). Manufacturing employees consider the future of the
organization and future employment. In addition to transformation change, frequency of
change within a manufacturing organization was likely to influence employee well-being
(Rafferty & Jimmieson, 2016). Employees have changed feelings and an altered state of
being during transformational change. Employees were even more confused with the
frequency of change.
Frequency of Change
When more frequency of change occurs, employees believe the event to be
disjunctive (Rafferty & Jimmieson, 2016). Frequent change within a manufacturing
44
organization may create an environment of turmoil if the change keeps changing
(Rafferty & Jimmieson, 2016). Employees may have different perceptions of the
frequency of change based on past experiences. An individually distinct event from an
employee’s past may be confused with frequency of change of current manufacturing
procedures (Rafferty & Jimmieson, 2016). Moreover, an employee’s past may cause
confusion with frequency change thus making adaptation a difficult task. Frequency of
change can cause turmoil and confuse an employee based on an experience. The extent of
change may have negative outcomes. Rafferty and Jimmieson (2016) explained
employees tend to experience negative outcomes when experiencing frequent
organizational changes because of the extent of the transformation.
Employees may not adapt to change and react in a negative manner due to
insecure feeling (Rafferty & Jimmieson, 2016). When manufacturing employees
experience change in the daily work environment, it may affect their home life and
develop negative feelings and resistance to change (Rafferty & Jimmieson, 2016).
Moreover, manufacturing leaders in middle Tennessee may realize the importance of
consistency among employees and fully communicate frequent organizational changes.
Changes in leadership may affect production employees’ behavior and well-being.
Leadership succession may influence employee attitudes and behaviors towards change.
Leadership Succession
Former leaders and new leaders influenced employee attitudes about change (Lin,
et al, 2018). Leader succession occurs as one leader leaves an organization, and a new
45
leader arrives (Lin et al., 2018). Job vacancies occur due to managerial turnover (Lin et
al., 2018). When management changed, new strategic goals and resources were needed to
accomplish new agendas (Lin et al., 2018). Most often, manufacturing employees will
react differently to new experiences (Lin et al., 2018). Leaders should be aware of
leadership succession to manage possible job vacancies, turnover, negative attitudes, and
employee’s reaction to change. A transformational leader was concerned about the events
that create transitional differences (Lin et al., 2018).
Transformational Leadership and Behavior Change
Transformational leadership can positively sway manufacturing employees in a
positive manner by changing their attitudes towards organizational change (Lin et al.,
2018). Employees’ behavioral resistance to change can be secret and therefore unknown
to management (Lin et al., 2018). Behavior resistance should be supported to solve
problems and make changes (Lin et al., 2018). Manufacturing employees committed to
change overall evaluative summary of their attitudes toward the organization during the
change as well as acting as a go between for management and employer therefore
providing support necessary to overcome mislead perceptions and behavioral reactions
(Lin et al., 2018). These actions were indirect results from past leaders under
transformational leadership (Lin et al., 2018). Transformational leadership was needed to
help leaders support and solve problems with change. Transformational leadership was
often used to compare old leadership to new leadership. Lin et al., (2018) noted former
leaders’ transformational leadership from the past was considered the norm thus new
46
transformational leadership can be direct comparison (Lin et al., 2018). When there was a
change in leadership, opportunities should be available to accessible leaders and compare
the prior leadership model to the new model (Lin et al., 2018). A new leader needed to be
adjusted to structure new goals, technology, and better relationships (Lin et al., 2018).
During change, manufacturing employees should understand and adjust to new methods
and environments (Lin et al., 2018). Organizational change created different levels of
behavior resistance and support (Lin et al., 2018). Therefore, it is not surprising that
employees displayed different levels of behavior resistance to support organizational
change (Lin et al., 2018). Fear and mistrust may develop from organizational change (Lin
et al., 2018). Organizational change can potentially affect employee behavior and should
be monitored by leadership. Organizations may sensitize managers to monitor
organizational change and employee behaviors. Transformational leadership was a
boundary that leaders use to increase production.
In summary, boundaries generated attractors to help manufacturing leaders
increase production employee productivity. Some boundaries included failures in lean
manufacturing, employee resistance, employee attitudes, and organizational change. The
frequency of change, transformational leadership, and behavior changes all exhibited
boundaries that manufacturing leaders can use to increase production employee
productivity. Systems theory offered boundaries as a general system to assist
manufacturing leaders in middle Tennessee in increasing production employee
productivity.
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Transition
Section 2 consisted of a review of professional and academic literature. The
literature review consisted of inputs and outputs, environment, and boundaries. Section 3
will include the research project methodology, including a discussion of the project
ethics, my role as the researcher, and the participants’ role in the study. In Section 3, I will
explain the nature of the project, the research method, research design, population,
sampling, participants, data collection activities, data collection technique, data analysis,
interview questions, and reliability and validity. Section 4 will contain the presentation of
findings, business contributions and recommendations for professional practice,
implications for social change, recommendations for further research, and the conclusion.
48
Section 3: Research Project Methodology
In this section, I discuss my role as a qualitative researcher and the ethical
research standards that must be upheld as a researcher, such as being granted permission
to collect data from the targeted population of chosen participants and that a researcher
must provide privacy and confidentiality to all participants while adhering to the Walden
University Institutional Review Board (IRB) guidelines. This section contains a
description of the research method and design, including the population, sampling,
participants, data collection techniques, data organization, and data analysis. Finally, I
provide the interview questions and establish the reliability and validity of this study.
Project Ethics
A qualitative researcher collects data and reports the findings (Yin, 2018). My role
as the qualitative researcher in the study was to collect data from interviews,
questionnaires, and participant journals. Researchers identify with participants and
readers and enlighten the audience with a sense of meaning, understanding, and
knowledge (Ragins, 2017). As the researcher, I was responsible for the justification of the
data (see Ragins, 2017). I worked in a manufacturing plant and had experience in the area
and was familiar with the environment. The role of the researcher is to identify with the
topic, progress, collect data, and further the research (Ragins, 2017).
I reviewed the Belmont Report of Human Rights (The National Commission for
the Protection of Human Subjects of Biomedical and Behavioral Research, 1979) before
starting the study. Researchers must consider the Report of Human Rights before their
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study to ensure protection for interview participants (Serpico, 2024). The consideration of
the Belmont Report of Human Rights ensures researchers follow the necessary guidelines
to protect interview participants ethical principles, justice, and respect for individuals
(Serpico, 2024). I provided truthfulness for all participants and avoided all deception. I
used beneficence to minimize risk by eliminating bias and asking questions and listening
to responses. The researcher must maintain a nonjudgmental objective and unbiased lens
of the research problem (Lim, 2024).
I selected the bracketing method to reduce personal bias and assumptions in the
study. Researchers who use bracketing as a method to prevent bias can prevent
methodological shortcomings and personal assumptions (Yin, 2018). Researchers gain the
trust of the research participants by reflecting their ideas rather than their own (Yin,
2018).
One strategy of establishing a working relationship with participants is trust
(Jones & Shah, 2016). Researchers focus on trust to achieve positive and mutual
understanding between two or more people (Jones & Shah, 2016). A good working
relationship with the participants was established through open channels of
communication, flexibility, and adapting to the changing environment. I reassured
confidential and anonymous participation by using the codes of P1, P2, P3, P4, and P5 to
identify participants.
Researchers practice the highest ethical standards to protect the integrity of research and
participants. Ethical research is about having value in research (Dahm et al.,
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2024). Ethical standards protect the integrity of the research and the participants (Yin,
2018). Informed consent increases the value of research and must be given by participants
when conducting ethical research (Collins et al., 2024). Researchers obtain consent to
ensure participant protection (Dahm et al., 2024) and protect participants from the risk of
exposure (Wilkinson, 2023). Researchers can alleviate bias by using informed consent
(Yin, 2018). Following ethical standards and gaining informed consent from the targeted
population will enhance the value and credibility of the study (Yin, 2018).
In the informed consent form for this study, I offered a description of the study,
including participant privacy, procedures, and the contact information for me and the IRB
participant advocacy representative at Walden University. Additionally, the informed
consent form was an agreement that ensured that I would adhere to the ethical principles
of the study. I conducted this study in compliance with the regulations of Walden
University IRB, which protects the welfare of participants in research studies. I asked the
participants to review and sign the informed consent form if they agree to take part in the
study. I emailed each participant an invitation letter and the informed consent form.
Participants copied and signed the informed consent form and sent it back to me
electronically. The National Institute of Health offers training on the ethical guidelines
surrounding the welfare of human participants; I enrolled in this training and successfully
completed the program in February 2019.
The Walden University IRB has strict guidelines regarding participant care and
ethical research. My IRB approval number is 05-24-24-0654009. Researchers should
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explain the benefits involved in the research process to help participants to make the right
decisions (Vlckova et al., 2024). Male and female participants were eligible for this
study. I provided participants with a thank you letter and a summary of the final study as
a token of my appreciation.
Participants could withdraw from this study at any time and were allowed to
contact me by phone, in person, or email. No compensation or incentives were offered to
participants. Incentives may attract respondents who are not truly interested in the study
(Al-Suraihi et al., 2021). I emailed the participants with the summary of the interviews
and offered to email them the findings of the study.
Researchers should protect the identity of interviewees because of research ethical
protocol (Myer & Dykes, 2020). A pseudonym code is an effective way to protect
participant’s anonymity and confidentiality (Yin, 2018). I replaced the participants’ names
with P1 for Participant 1, P2 for Participant 2, P3 for Participant 3, P4 for Participant 4,
and P5 for Participant 5. Interview data must be protected and stored since they are a vital
resource that supports the doctoral study (Myer & Dykes, 2020). I protected the interview
data in a personal computer with a password and locked the hard copy in a file. I
permanently destroyed paper documents by shedding and erased all electronic files
associated with the study. The interview data will be destroyed after 5 years because it
will be no longer necessary to keep the data for reference (see Tenopir et al., 2020). Data
management ensures longevity, sharing, and security of research data (Tenopir et al.,
52
2020). Researchers can ensure security and prevent exposure to an undesirable situation
through data management (Johnson, 2019).
Nature of the Project
I considered qualitative, quantitative, and mixed research methods for this study.
Combrinck (2024) stated that it was important for researchers to choose the most
appropriate method when conducting research. I chose the qualitative approach because I
wanted to explore production managers’ lived experiences. The qualitative selection
allowed for researching the problem through exploratory events (Yin, 2018).
Research Method
I selected a qualitative pragmatic method for this study because the approach
allowed me to explore strategies used by manufacturing leaders to increase employee
productivity. Researchers use qualitative pragmatic design to explore the contemporary, a
phenomenon, or real lived experiences of individuals (Yin, 2018). Researchers have an
added advantage by researching a problem through exploratory events available through
the qualitative pragmatic research method (Lichtman, 2023). Researchers use qualitative
methodology to apply interpersonal and subjective skills to their research (Lichtman,
2023). Qualitative researchers use the method for social inquiry and study on human
behavior (Lim, 2024). I studied manufacturing leaders’ reaction to employee behaviors.
Researchers use qualitative pragmatic research alignment to form a framework combining
and borrowing from established qualitative approaches to meet a study’s needs (Lim,
2024). Furthermore, qualitative pragmatic researchers can reiterate the main objectives of
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the method to explore lived experiences (Lichtman, 2013). The purpose of qualitative
pragmatic research is to provide unbiased and reliable information to the target audience
(Colorafi & Evans). Researchers can use qualitative description for any theory (Colorafi
& Evans, 2016). I used system theory as the conceptual framework for this qualitative
pragmatic study. Researchers use a qualitative pragmatic study to identify and explore the
experiences and perceptions of individuals toward an event in their environment
(Mirhosseini, 2020). In this study, I interviewed manufacturing leaders to explore
strategies that might improve productivity; therefore, the qualitative pragmatic method
was the most appropriate. I used qualitative pragmatic research to carefully collect
reliable information from manufacturing leaders to incorporate unbiased data for this
study.
Quantitative research consists of numbers and statistics to describe research
findings (Bowman, 2014). Quantitative research does not pertain to experiences,
perceptions, or an individual’s environment (Mirhosseini, 2020). The quantitative method
was not appropriate for this study because my intent was to explore phenomenon and not
use numeric data to test a hypothesis about the relationship among variables.
Researchers combine qualitative and quantitative methods to develop a composite
framework of inductive and deductive strategies (Mitchell et al., 2021). Furthermore,
researchers use the combination of methods to explore and examine strategies,
phenomenon, and statistics (Hines et al., 2022). Researchers usually use closed-ended
questionnaires and numerical data for mixed-method research (Hines et al., 2022).
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Researchers can use open-ended questions for mixed methods, and this method can lead
to a greater level of discovery (Zohrabi, 2013). A mixed-method approach was not
appropriate for the current study because there were no quantitative variables. My intent
was to conduct in-depth interviews to explore the strategies leaders use to increase
employee productivity.
Research Design
I considered the narrative, ethnography, and phenomenological designs before
selecting the qualitative case study design for this study. Researchers use a qualitative
research design to develop explanations of social phenomena (Colorafi & Evans, 2016). I
used in-depth interviews to study employee behaviors and phenomena. Qualitative
research designs include a large range of choices for theoretical and philosophical
orientations (Colorafi & Evans, 2016). Qualitative research designs are grounded in the
general principles of naturalist inquiry (Colorafi & Evans, 2016). The qualitative case
study design was the preferred design because I studied manufacturing principles and
employee behaviors, conducting in-depth interviews to understand strategies used to
improve employee productivity.
Researchers use the narrative design to create a composite story, rather than an
investigation (Tracey & Hutchinson, 2019). The focus of the study was current, not a
historical phenomenon, so the data contained strategies currently being used to increase
employee productivity in middle Tennessee manufacturing plants. Therefore, the
narrative design was not appropriate for the current study.
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I also considered ethnography and phenomenological designs prior to choosing
the qualitative case study design. A researcher conducts an ethnography to explore group
culture to explain behavior (Cvajner, 2024). Ethnographers may be transparent with data
presentation, which might open questions of validity (Keeler, 2019). The study of group
culture was not needed for this study; therefore, I chose to explore lived experiences.
Phenomenology involves exploring the lived experiences of participants
(Hadjimichael, 2024). Sometimes judgment may be questioned when examining lived
experiences because phenomenology is characteristic of thought, belief, doubt, and
interference (Cheeli, 2024). I did not select either ethnography or phenomenological
designs because I did not explore group culture to explain behavior or lived experiences.
The qualitative case study design was most appropriate for this study because this
study was not a story, but an investigation of manufacturing principles and employee
behaviors. I explored employee behaviors rather than group cultures. The qualitative case
study design was the most suitable choice for this study because I investigated
manufacturing principles without explaining lived experiences.
Researchers should consider methods and design when collecting data to create
data saturation. Data saturation is reached when no new themes or information can be
found (Brown et al., 2019; Rahimi, 2024). A researcher can interview countless
participants a countless number of times (Villamin et al., 2024). There is no standard
limit; instead, the goal is to reach data saturation. I conducted in-depth participant
interviews until I achieved data saturation.
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Population, Sampling, and Participants
I used a purposeful sampling technique. Researchers use purposeful sampling to
identify groups of people who have traits that relate to the study (Thapliyal et al., 2024).
The purposeful sampling technique encourages respondents to share opinions,
experiences, and common qualities (Yoel et al., 2020). I chose the inclusion criterion
based on the purposeful sampling technique. The purposeful sampling technique was
appropriate because I explored manufacturing leaders’ strategies from various
manufacturing leaders who engaged in improvement of employee productivity. A
snowball sampling technique would not allow criterion, such as shared opinions,
experiences, or common qualities (Kirchherr & Charles, 2018). I selected the targeted
population of five manufacturing plant business leaders from various Middle Tennessee
plants who have successfully improved the productivity of production employees in the
same production plant. The sample size of five manufacturing leaders was appropriate for
this study because each leader had specific knowledge regarding selective applications in
production. Purposeful sampling was a suitable choice for sampling because the chosen
participants had a working knowledge base about the research topic. Researchers use
purposeful sampling in qualitative research to extract valuable information related to the
study (Czermek-Marszalek & McCabe, 2024).
Data saturation in qualitative research means no new information can be found
(Brown et al., 2019). Yin (2018) noted data saturation refers to obtaining adequate
information by repetition. Sample size is important to data saturation. Even a small
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sample size in a qualitative descriptive research study can still be effective (Hennink &
Kaiser, 2022). A researcher conducts a repetitive and consistent process until they reach
data saturation (Brown et al., 2019). I explored the research problem and achieved data
saturation by ensuring repetitive consistency by interviewing participants who had
strategies to support efficient methods to improve and maintain production employee
productivity. A researcher uses in-depth interviews as a strategy to collect data from
participants to ensure data saturation (Low, 2019). I continued to collect data until data
saturation was achieved.
Puglieri et al. (2022) noted that researchers obtain detailed information of events
from interviewing participants in their familiar environment. Researchers should allow
participants to select the interview setting (Puglieri et al., 2022). Participants tend to be
honest about personal experiences in nonthreatening interview settings (Barker et al.,
2024). I chose an environment known to the participants to consist of comfortable seats,
good lighting, quiet, private, and no distractions or interruptions. I sought data saturation
from participants and provided a comfortable interview environment to help achieve the
saturation.
The chosen participants for this study included production leaders from various
manufacturing organizations in middle Tennessee who have used leadership strategies to
improve profitability. Participants should have knowledge of research study and be
willing to participate (Perez, 2024). Each participant had different views that may affect
the study. Researchers recruit participants who have experience in the study’s topic.
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Some strategies for gaining access to participants are gaining permission through
administrators and department heads. In qualitative case studies, it was important to have
participants familiar with the research topic or phenomenon (Lim, 2024). Participant data
collection helps to validate the research study and aids in efficiency (Yin, 2018).
Researchers and scholars use professional and managerial contacts to gain access to
participants (Karunarathna et al., 2024). Thompson et al. (2024) explained reviewing
literature about the study might increase access to participants. Access to participants was
gained by introducing myself as their professional contact and explaining the purpose of
the study and asking for a signed letter of cooperation. I waited to receive institutional
review IRB approval.
I identified potential participants. I followed the interview protocol for permission
and access. At this point, I started establishing a working relationship with potential
participants. Rapport with participants is the key to collecting quality data and achieving
data saturation (Tight, 2024). I shared information to establish trust with the participants.
Researchers establish trust to achieve positive and mutual understanding between two or
more people (Jones & Shah, 2016). Participants are more comfortable knowing their
skills align with the overarching research question (Yin, 2018). I made sure participants’
characteristics align with the study while developing a good working relationship with
quality communication during the entire process.
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Data Collection Activities
I served as the primary instrument for data collection. I obtained data from
semistructured interviews. Researchers use interviews to collect data to learn about an
event (Puglieri et al., 2022). Researchers determine the research design, collect data,
analyze, and interpret the results (Puglieri et al., 2022). A researcher can collect valuable
qualitative data through open-ended questions (Mirhosseini, 2020). Interviews are
suitable to explore participants’ perspectives of events to enhance the validity and
reliability of the research questions (Puglieri et al., 2022). I conducted the interviews with
open-ended questions to provide rich meanings and depth exploration of data. Most
qualitative research interviews are semistructured or in-depth interviews (Guo et al.,
2024). Semistructured interviews offer an opportunity to address the primary research
question along with additional insights from participants (Ghazinoory & Aghaei, 2024).
Moreover, semistructured interviews may introduce aspects of the topic being explored
that might not have emerged (Yin, 2018). A second data collection will be surveys from
focus groups. Cleary et al. (2014) noted for different types of interviews and surveys for
data collection (a) face-to-face, (b) email, (c) phone interviews, and (d) focus groups. Yin
(2018) noted semistructured interviews are an effective technique for data collection a
qualitative descriptive design study.
Researchers use interview protocols to ensure congruency with the interview
process (Taherdoost, 2022). Scholars use a good interview protocol to enhance their
research findings (Peng, 2024). Yin (2018) noted that the interview protocol consists of
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six steps to ensure consistency of the study: (a) introduction, (b) purpose of the study, (c)
discussion of confidentiality, (d) follow-up questions to address concerns, (e) conducting
the interview, and (f) wrap up. Portigal (2023) noted richer exchanges are made when
interviews are allowed between interviewer and the participant. The interview protocol
consists of semistructured and open-ended interview questions (Saglam, 2024). I used the
semistructured interview technique to explore strategies manufacturing leaders used to
increase employee productivity.
I used face to face interviews during the data collection process and member
checking to help validate the interviews. Member checking aids researchers in enhancing
validity (Mirhosseini, 2020). Member checking involves taking the interpretation back to
the participant for their verification (Rahman, 2020). Member checking was a quality
control process that allows a researcher to improve the validity, credibility, and accuracy
of the interview (Sahakyan, 2024). Urry et al. (2024) suggested four steps for member
checking: (a) conducting an interview and synthesize data, (b) provide participants with a
printed copy of synthesized data, (c) ensure participants agree that the data syntheses
denote their responses, and (d) continue the process until data saturation. Researchers use
member checking to judge the rigor and trustworthiness of qualitative research.
Participants reviewed the summary of my interpretations to ensure I captured their
responses accurately.
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Data Collection Technique
I interviewed the participants by using an interview protocol. Yin (2018) noted
researchers use semistructured interviews to ask probing questions that contribute to the
study. Semistructured interviews allow participants to respond and inquire about data in a
qualitative study. Next, I used member checking to establish quality data accuracy.
Researchers use member checking as a quality control process. (Quigley, 2016). I
followed up by phone with additional probing questions to participants to validate their
responses. At this time, participants could provide updates and correct incorrect data.
After the participants validated the data collected, I thanked them for their participation.
Data collection techniques have advantages and disadvantages (Tenopir et al.,
2020). Researchers can use explore perceptions, views, and deeper thoughts with data
collection techniques (Tenopir et al., 2020). Organizing data effectively, particularly
during and after project completion, can contribute to credibility and reliability (Tenopir
et al., 2020). Another advantage of data collection was using face-to-face interviews.
Face-to-face interviews allow the researcher the ability to rephrase interview questions to
enhance clarity of responses (Bano & Ismail, 2022). Finally, a researcher’s body language
could influence a participants’ reaction to the question and alter the response (Bano &
Ismail, 2022).
Once I received approval from Walden University IRB, I used the following
protocol to conduct the proposed study. First, I gathered contact information, such as
phone numbers and email addresses, from potential participants and made initial contact.
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At this time, I explained the purpose of my study and addressed any concerns. I presented
participants with informed consent forms and collected the forms after participants signed
the forms and consent to participate in the study. After receiving the informed signed
consent forms, I emailed the interview protocol.
Before the interview protocol began, I emailed the participants their rights.
Participants have the right to withdraw from the study and their data were destroyed upon
request if this was what they wanted to do. I emailed the interviews to participants with
their permission. I summarized the individual interviews and shared my interpretations.
Member checking is a tool used by researchers to increase reliability by involving the
participants in reviewing the transcripts for accuracy (Piedra, 2024). Member checking
allows participants to verify the accuracy of the researchers’ understanding of the data
(Piedra, 2024). Therefore, member checking is used to verify data collected. views.
Data Organization Technique
One of the most important components in qualitative descriptive design study
research is organizing data (Yin, 2018). The importance of data organization technique is
to describe the systems used for keeping track of data (Talanquer, 2014). Data
organization helps readers to understand through research logs, reflective journals, and
labeling systems.
Participants’ identity was protected by using the letter and sequential number.
Researchers should develop a structure to mask and safeguard participants’ identities
throughout the data collection process (Karunarathna et al., 2024). The data organization
technique that I used will have alphanumeric codes such as P1, P2, P3, P4, P5 and P6 to
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mask and safeguard the identity of the participants. Researchers should assign a generic
code to maintain secrecy of participant’s identity (Johnson, 2020). I used Microsoft word
software package to organize data into codes and themes. I organized interview data and
notes into Microsoft word software package to assist with decoding, organizing, and
storing data. Qualitative research organizing techniques require data storage and data
categorization (Chiarini & Brunetti, 2019). Written record of researchers is a bracketing
technique composed of events, notes of interactions, and concepts over a period to
explore insights and learning experiences (Chiarini & Brunetti, 2019). Finally, I used
bracketing techniques to explore different insights and learning opportunities. I stored all
raw data in an encrypted folder, which includes interview protocols and consent forms.
The proper storage of data, backup, and security are crucial in creating high-quality data
(Ferreira & Leao, 2024). All collected data will remain in a secure location protected
either by password or lock and key. I have sole access to the password and key to the
fireproof cabinet that was stored in the office closet of my residence. Maintaining
confidentiality of participants’ information by encrypting data prevents the risk of
disclosure (Vlckova et al., 2024). All data will remain safe for 5 years, and after 5 years
the data will be destroyed using Fellows PS60 paper shredder and burned by fire.
Data Analysis
Researchers can use the semistructured interview technique to collect data to
answer the research question in a qualitative study (Rauner, 2024). I used thematic
analysis as described by Yin (2018). My first step was asking questions to the
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participants. The second step was collecting data or participant responses and
understanding their experiences regarding employee production strategies. I covered
individual contextual conditions and contributing insights into existing and emerging
concepts of human behaviors. The third step was processing the data. The fourth step was
analyzing the collected data. Data analysis begins with transferring information from
multiple sources of data into categories and themes for analysis (Lim, 2024). Yin noted
that data analysis allows researchers to discover meaningful themes, patterns, and
descriptions. The fifth step was sharing the analysis with the participants.
Researchers can reveal themes through qualitative analysis (Marcano et al.,
2019). Thematic analysis is one of the most common forms of analysis within qualitative
research (Khan al., 2024). Thematic analysis emphasizes identifying, analyzing, and
interpreting patterns (Khan et al., 2024). I used thematic analysis to develop themes. The
sixth step was reporting the findings.
Planning steps to for data analogy aids researchers in the process. I started
compiling data within 2 days after the interview process. Compiling occurs with the
intent to organize data (Schunk & Dibenedetto, 2019). Next, I disassembled data into
groups. Disassembling occurs by analyzing textual content (Reyes et al., 2024). I
reassembled and arranged data by coding categories together. Yin (2018) noted
reassembling and arranging occurs by linking the same code categories together. Next, I l
interpreted the data.
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Lichman (2013) stated researchers can understand data by interpreting the data. I
coded the data from participants. I labeled data P1 for Participant 1, P2 for Participant 2,
P3 for Participant 3, and P4 for Participant 4, and P5 for Participant 5. I placed the data in
categories according to the kind of response received from each participant. I collapsed
the categories by themes found per category. I noted how each theme aligns with the
research questions. Finally, I shared my interpretations with the participants by phone.
Each participant had the opportunity to discuss the summary and change any
misinterpreted data.
Interview Questions
1. What strategies do you use to improve and manage the productivity of
production employees?
2. What do you perceive are the most effective strategies used to improve and
maintain the productivity of production employees?
3. How do you assess the effectiveness of your strategies to improve and
maintain the productivity of your production employees?
4. What, if any, barriers were experienced while implementing your strategies
for improving and maintaining the productivity levels of production
employees?
5. How did you communicate productivity strategies to improve and maintain
production outcome?
6. How does the production employee’s performance affect the productivity of
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your organization?
7. What are the most effective production employee strategies to improve
manufacturing productivity?
8. How does employee productivity affect your production rating?
9. What additional information would you like to include about the productivity
of a production workforce?
Data Organization and Analysis Techniques
Reliability and validity assist the researcher in designing and judging the research
study. Reliability was the trustworthiness of research findings (Chowdhury, 2015). The
trustworthiness criteria in a qualitative research study are (a) reliability, (b)
confirmability, (c) credibility, and (d) transferability (Chowdhury, 2015). Validity pertains
to the exactness in which the findings accurately reflect the data (Benjamin, et al., 2021).
Reliability and validity rely on various techniques such as semistructured interview
protocol to ensure that research findings are consistent in the qualitative study.
Reliability
Reliability is the earnestness of the research procedures and trueness of the
findings (Chowhury, 2015). Benjamin, et al. (2021) noted reliability relates to the
integrity of the researcher’s findings. Every participant receives the same research
question to ensure reliability of the study. Lim (2024) stated researchers produce
replicable findings with similar conditions for dependability. Researchers facilitate
dependability through detailed explanation of the research process (Lim, 2024). Yin
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(2018) noted the assessment of reliability within the topic area ensures the quality of the
social research. Reliability, confirmation, dependability, and credibility are the criteria to
validity and trustworthiness in qualitative research (Yin, 2018). I ensured reliability and
dependability by offering each participant the same research questions and offering
transcript review. My research data facilitated dependability through the detailed
responses offered by the participants.
Validity
Validity in qualitative research refers to credibility, transferability, and
conformability of findings. Validity is the appropriateness of the tool or process in
answering the research question (Mosbah, 2024). Researchers can rule out validity
through results of alternative explanations (Stahl et al., 2019). Seely (2024) noted
researchers use validity to accurately answer the research question. Researchers have
found accuracy of research through validity (Seely, 2024). Triangulation technique
ensures validity of a study’s findings (Rahimi, 2024). Yin (2018) stated theories, personal
values, and opinions can influence the validity of the study. I found validity through
open-ended research questions and triangulation. Validity and accuracy are what
qualitative researchers contend with rich data that provides a detailed description of a
phenomenon.
Researchers find credibility through the reliability of research findings
(Chowdhury, 2015). Researchers use dependability to encompass clear and rich data to
highlight themes in the data (Benjamin, et al., 2021). Researchers create dependability
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through detailed description of the process (Lim, 2024). Yin (2018) stated researchers
conducting case studies have the responsibility to decrease misunderstanding and
misrepresentation. Researchers can achieve credibility and transferability through rich
data which describes the phenomenon. I extracted data that can be transferable to further
studies.
Researchers can use confirmability to increase accuracy of research data in
qualitative research. Confirming ability was trustworthiness a researcher must establish
(Chowdhury, 2015). Researchers develop confidence through confirming the ability of
the research findings based on the participants’ narratives (Chowdhury, 2015).
Researchers can increase the confirmability of a study by semistructured interviews (Levi
et al., 2021). Confirming ability involves establishing that information generated from
interpretation of findings comes from field data (Stenfors et al., 2020). A researcher can
achieve confirmation ability by ensuring that data accurately represents the information
provided by participants (Benjamin, et al., 2021). The confirmability of qualitative
research verifies the findings shaped by participants regarding readability, objectivity, and
credibility (Yin, 2018). Probing during interviews is a technique qualitative researchers
can use to enhance confirmation ability (Cope, 2014). I used semistructured interviews to
increase confirmability. Qualitative researchers can use various techniques to enhance
confirmability.
Data saturation transpires when study participants do not offer new themes or
patterns (Yin, 2018). Konieczna and Robinson (2014) stated data saturation occurs when
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the collected data becomes repetitive. I ensured data saturation by continuing the
interview protocol until no new themes appear. Repetitive responses offer the ability to
replicate a study (Gallo et al., 2024). A researcher finds deeper understanding of a
phenomenon when data overlaps (Salmona & Kaczynski, 2024).
Transition and Summary
Some key points of my research are project methodology, project ethics, the
researcher’s role, and the participants’ role. I used pragmatic inquiry design and the
qualitive method. I used purposeful sampling, interviewing, and member checking as part
of my data collection activities and techniques. Finally, I used data analysis, reliability,
and validity to verify the data. In Section 4, I will present my findings. I will offer my
contributions and recommendations for professional practices and further research before
discussing the implications for social change and my conclusions.
Section 4: Findings and Conclusions
Presentation of the Findings
The research question for this study was: What strategies do manufacturing
business leaders use to improve and maintain the productivity of production employees? I
conducted semistructured participant interviews and reviewed literature to collect data. I
found valuable information from peer-reviewed studies available in Walden University
Library’s database holdings. I used the conceptual framework of systems theory as a
guide for data analysis to discover strategies business leaders used to improve and
maintain the productivity of production employees. I performed member checking during
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the interview process to assure the data collected was fully understood and without bias. I
employed methodological triangulation to validate and align information among collected
participant data, available literature resources, and data related to the conceptual
framework.
I verified the interview data collected from participants then identified themes and
codes using headings in columns on a spreadsheet. Six themes emerged from analysis.
The five research participants were from Tennessee. I used a review of the literature to
support and validate the findings by aligning data collected from participants, literature
resources, and literature resources related to the conceptual framework. In the following
subsections, I present the six themes as the study findings.
Theme 1: Effective Communication
Effective communication is the main tool in human resource management (Antic
et al., 2024). The participants reported that quality communication was considered the
most important function for good leadership of with production employees. P4 noted
open communication is conducted through shift and safety meetings. Often,
communication takes place through emails, employee surveys, and face-to-face
appointments. Communication is necessary to avoid a negative work environment,
resistance to change, employee burnout, and employee connectivity.
Production employees want to feel connected to their organization. Production
employees tended to be more productive when there was a positive connection between
employees and management. Antic et al. (2024) noted high-quality communication
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management affects the work performance of employees because it signals employee
value and worth. P5 stated that good communication promotes a healthy workplace.
Quality communication offers encouragement to production employees, employee
empowerment, employee satisfaction, and employee commitment. Managers can
understand and encourage production employees through quality communication.
Effective communication was the best predictor of beneficial employee outcomes,
whereas appropriate communication was the best predictor of detrimental employee
outcomes (Mikkelson et al., 2024). P1 shared that effective communication empowered
production employees through structure, schedules, and lists. Production employees were
more engaged and accomplished when given clear instructions. P2 reported that
detrimental employee communications outcomes occurred when managers lacked clear
communication. Production employees need to receive daily production sheets as well as
notes on changes and to make comparisons of production runs.
Management’s communication style is important for a healthy workplace
(Xiangming et al., 2022). Production workers have a positive correlation and are open to
suggestions. P5 noted that engaging with their employees, listening to suggestions and
ideas, and providing feedback created a healthy employee-management relationship.
Effective communication was necessary during training and setting realistic goals.
System theory manifests through effective communication. Manufacturing leaders
used communication to sensitize managers, create goal orientations, allow for
organizational change, and establish ethical considerations. Effective communication is
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conveyed through different leadership styles. Leadership styles helped to create a solid
manufacturing environment. System theory included the environment as a component for
manufacturing leaders to be successful in increasing employee productivity in middle
Tennessee.
Theme 2: Training and Realistic Goals
Training and realistic goals are benefits of planned instruction (Hiller, 2023).
Production managers oversee orderly growth of each employee’s knowledge, skill, and
attitudes (Hiller, 2023). Production employees are part of the life of the company and the
community, and managers can use plans to determine how each production employee can
contribute more through training and realistic goals.
P1 noted that training can take years to perfect the gaging and set up of machines.
The protocol must be followed for quality parts. Production managers need to investigate
and check history, and this investigation may lead to additional training.
P2 and P3 agreed that employee training and setting realistic goals were an
everyday event. Sometimes a good review of training was helpful to employee growth.
The development of new ideas and training is needed, so supervisors need to observe
production and review records to adjust training and goals.
Production managers fill skill gaps, implement automation, and retain employees
through training and setting realistic goals (Beckman, 2022). P1 spoke about receiving
the wake-up call of not being able to find experienced machinists. Production managers
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seek training methods to encourage less experienced machinists to seek additional
education.
P4 shared that training on alternate jobs reduced burnout. Weekly safety training
was necessary to keep the company and the employees safe. Another reason was to keep
insurance costs down. Reduced employee burnout, company and employee safety, and
lower insurance costs can increase employee productivity and company profits.
The productivity of employees will increase with training and production
technology (Hiller, 2023). The greater the production, the greater the profits. P5 noted
that the most effective strategies are good production training, feedback, and employee
empowerment. Investments in human capital can increase employee productivity (Hiller,
2023). Training may influence employee pay because trained production employees do
more and can make more money.
Systems theory is demonstrated through training and realistic goals.
Manufacturing leaders provide systems of training for production employees and set
attainable goals. Manufacturing leaders can increase production employee productivity by
setting boundaries. Some boundaries included failures in lean manufacturing, employee
resistance, employee attitudes, and organizational change (Hiller, 2023). Systems theory
offered boundaries as a general system to assist manufacturing leaders in middle
Tennessee in increasing production employee productivity.
74
Theme 3: Employee Benefits and Competitive Pay
Leaders in today’s workplace seek to prioritize the needs and well-being of
employees (Zhang & Chen, 2024). Production managers need to have innovative benefits
and competitive pay to meet the needs of their workforce. P1 noted employee comfort,
respect, fair treatment, and recognition are priorities for their manufacturing organization.
This company added air conditioning, provided personal monetary advancements, offered
time off for personal events, and gave production employees respect by letting them
know they are not just a number.
P3 believed production employees are to be respected and treated as an asset, not
a random number. Pay had the largest impact on increased production strategies at their
organization. Bonuses were based on the money the company makes, so when the
company makes money, the employees make money.
P2 stated production employees want to be special, useful, and important. One
benefit offered was flex time off. The most effective production strategy was to have
happy production workers, and a production employee is most happy when they realize
they can make a difference. Happy production workers have higher productivity.
Employee benefits and competitive pay are major influences for employee turnover
(Bokall, 2023). Employee engagement creates employee loyalty to the company, and
loyal employees can increase productivity in a company; therefore, companies serious
about keeping their workers should make employee engagement a top priority (Bokall,
2023).
75
P5 believed production employees need incentives and empowerment to increase
productivity. Employee engagement was used to solve problems at their organization.
Employees are offered raises, treated with kindness, and kept in the loop. When
employees are allowed to help solve problems and engage in a company’s
decisionmaking process, employee productivity can increase.
P4 believed competitive pay and benefits would reduce employee turnover.
Employees need to feel like they are a part of a decision-making process and need to trust
production managers. Trust should not be taken for granted or believed that it just
happens, because a boss needs their people’s trust in them (Hill & Lineback, 2023).
Employee benefits and competitive pay reduce employees’ turnover as well as build trust,
respect, and happy employees.
In summary, employee benefits and competitive pay play a large role in
manufacturing leaders increasing production productivity. Manufacturing leaders
sensitized managers, created goal orientations, allowed for organizational change,
established ethical considerations, created a comfortable work environment, allowed
employees to participate in decision making, and offered better wages and bonuses.
System theory included the environment as a component for manufacturing leaders to be
successful in increasing employee productivity in middle Tennessee.
Theme 4: Quality Tools/Machines and Technology
Quality tools are necessary for a truly functional assembly line. Additive
manufacturing techniques/tools enable quality design concepts for performance
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improvements and functional integration in a wide range of industries (Kelliger et al.,
2024). Quality planning tools process development determines the effectiveness of
implementing individual phases (Rudolf & Roszak, 2022). P1 noted quality tools yield
quality parts, and quality parts are their number one priority. No company wants bad parts
because bad parts create wasted inventory and employee and company time. Additionally,
sometimes the customer can get upset when the product is not delivered on time. Additive
manufacturing techniques, quality tools, planning tool processes, and effective individual
phases contribute to increased employee production.
P2 reported that quality tools, quality machines, and better technology increased
employee production. Quality tools and machines avoid excessive downtime, and newer
and better technology produces faster quality products. P4 stated that quality
tools/machines and technology help the company to meet company demands and
production ratings. If the company is unable to meet demand, then other sources are
called to supply the demand. This is costly but necessary to keep the customer satisfied.
P5 responded that quality tools/machines and technology are a company’s survival
course. Production employees must have quality tools and machines to work efficiently.
If employees are not able to work efficiently, the job will have to be outsourced, and
outsourcing may jeopardize the quality of the product. The best technology helps to
improve performance and product quality. Manufacturing management should provide
quality tools/machines and technology for production employees to increase production
activity.
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System theory manifests quality tools/machines and technology to increase
production employee productivity. Input and output were the result of optional and
flexible planning, scheduling, and employee productivity. In system theory, input and
output are used to establish effective practices and mapping. Employee productivity could
be increased through input and output and the use of Kanban software technology and
tools.
Theme 5: Production Barriers
Production barriers come in three categories: social, economic, and environmental
(Badhotiya et al., 2022). Social criteria, related to manufacturing organizations’ hiring
and training production employees, are of the highest importance followed by economic
and environmental criteria (Badhotiya et al., 2022). Social criteria. P1 noted it was hard to
find skilled and qualified employees because it takes years of experience to achieve the
level of expertise needed for skilled and qualified employees. P3 stated that there was a
shortage of skilled applicants; therefore, training has become the number one priority.
Management observes day-to-day production and offers additional training as needed.
Manufacturing organizations need to hire and train production employees to secure their
jobs and facilitate and increase employee production.
Social barriers are combined with economic barriers. Production work is hard,
repetitive, and stressful. P3 noted their organization’s largest impact was social barriers.
Employee productivity increased when they increased wages, so P3 offered bonuses,
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stating that the more money the company makes, the more money the production
employee makes. Increased wages can help economic barriers.
Environmental production barriers can prevent manufacturing companies from
investing in new equipment, machinery, technology, and vehicles; therefore,
manufacturing companies need good relations with the banking industry to be
economically stable enough to operate. Manufacturing managers need to be aware of the
environment regarding pollution. The government sets various strategies, such as tax
reduction and credit offerings, to assist with environmental production barriers
(Mechanneche & Najafic, 2023).
P2 shared that their company experienced environmental and economic
production barriers, describing that the cost of upgrading equipment was extremely high,
the cost of shipping the product had increased, and marketing strategies were more costly
and competitive. P2 had to increase the product cost to offset the increase in
environmental and economic barriers.
P4 explained that environmental production barriers were the greatest barriers to
overcome. Production was weather dependent, with extreme heat and extreme cold both
interfering with manufacturing employee production. In extreme weather conditions,
outsourcing was the only way to keep production moving. Production barriers can be
avoided by increasing production employee productivity through training employees,
offering increased wages and bonuses, keeping a good relationship with financial
79
institutions, better marketing strategies, staying environmentally safe, and outsourcing
production.
Systems theory encourages boundaries, and production barriers are generated by
boundaries. Boundaries help manufacturing leaders increase production employee
productivity. Some boundaries include failures in lean manufacturing, employee
resistance, employee attitudes, and organizational change. Systems theory offered
boundaries as a general system to assist manufacturing leaders in middle Tennessee in
increasing production employee productivity.
Theme 6: Production Performance Ratings
Production performance ratings identify top performing batches and top
performing units within a manufacturing company. Production performance ratings are
systematic processes used by manufacturing organizations to measure the job
performance of employees (Knowles et al., 2023). Manufacturing leaders measure
performance by evaluating employee’s contribution to the department and achieving the
organizational goal (Knowles et al., 2023). Manufacturing companies strive for high
production rates to help lower the time and cost of the production run. Time study plays
an active role in discovering production efficiency and resource utilization in
manufacturing processes (Jamaludin et al., 2024). Time study reveals problems, such as
uneven task distribution, bottlenecks, idle time, and time constraints (Jamaludin et al.,
2024).
80
P1 said that production performance ratings are measured by customer
satisfaction. When customers complain, they know their product quality is down, delivery
may be slow, or the order may be short. Production meetings are then held to discuss
solutions to low production performance ratings. Quality checks are also in place to
prevent poor ratings.
P2 noted that time study increases production performance ratings. Their goal was
to produce a quality product in a timely manner, so they always made a customer aware
of whether the deadline needed to be extended. Most customers can understand an
extended deadline if made aware early.
P4 noted production employee ratings are extremely important for the future of
the employee and the manufacturing organization. High performance ratings yield higher
profits for the organization, higher customer retention, brand trust, and evaluation of
employee performance and goals. Production performance ratings identify top performing
batches, units, and employees. Production ratings can be measured by customer
satisfaction. Customer satisfaction and quality job performance produce higher
production performance ratings.
Performance ratings are created by input and output. Systems theory drives input
and output for production employee productivity. Manufacturing leaders who had
effective production planning and enhanced employee productivity-built product
accuracy and helped create a corporate culture conducive to improving employee
81
productivity. Systems theory used performance ratings to increase production employee
productivity in manufacturing plants in middle Tennessee.
Business Contributions and Recommendations for Professional Practice
The purpose of this study was to identify successful strategies manufacturing
leaders use to increase manufacturing employees’ productivity. The usage of data
collection and interviews provides support data and research findings to support
successful production strategies. The participants’ interviews have recommended various
strategies, methods, and practices for manufacturing leaders to increase production
employee productivity. Through semistructured interviews and gathering and analyzing
information successful manufacturing strategies were identified.
Manufacturing leaders, current and future, can use these successful strategies to
benefit from the study’s results. Also, manufacturing owners can improve overall
organizational performance and increase employee productivity. The participants’
responses aligned with van Bertalanffy’s (1968) systems theory of inputs and outputs,
environment, and boundaries and identified elements that increased employee
productivity. Some elements identified from the participants’ responses were effective
communication and training and realistic goals. The single element identified was
employee benefits and competitive pay. The findings were conclusive and derived from
the responses of interview participants.
Manufacturing leaders perceive quality tools/machines and technology and
eliminating production barriers as core factors contributing to increased employee
82
productivity. Quality tools/machines and technology enables quality design and
functional integration in manufacturing industries (Kelliger et al., 2024). Manufacturing
leaders should consider eliminating social, economic, and environmental production
barriers and implementing quality tools/machines and technology to increase production
employee productivity. Manufacturing leaders could adopt production performance
ratings to identify top performing batches, units, and employees. High production ratings
create customer satisfaction. Alternativity from an organizational perspective, successful
manufacturing leaders could adopt strategies such as effective communication, training
and realistic goals, employee benefits and pay, quality tools/machines and technology,
eliminate production barriers, and set high performance ratings as successful strategies to
increase production employee productivity.
Implications for Social Change
Manufacturing leaders play an important role driving positive change.
Manufacturing leaders can benefit from my study of key factors influencing employee
development, using it as pilot to improve productivity and build greater community
relationships. By developing effective employee development strategies, manufacturing
leaders can inspire their employees to achieve more productional progress in their
personal life and work life, therefore contributing to social change. Motivated production
workers were more productive; therefore, more products were made. Motivated
production workers worked smarter and harder in creating a positive effect on the
manufacturing plants’ bottom line (Holston-Okae & Mushi, 2018). Manufacturing leaders
83
must focus on creating a sense of community thus creating value within the community.
Manufacturing leaders can do this by encouraging open communication feedback and
supporting community team efforts.
Manufacturing leaders can encourage their workforce to participate in community
building. Manufacturing leaders can promote growth in the community by creating
employment opportunities. A crucial aspect of organizational growth and success requires
continued effort and attention in building community repour relationships (Susanto et al.,
2023). For example, some manufacturing employees may participate in community walk-
a-thons. Manufacturing businesses can make an impact on society by working with other
manufacturing leaders sharing business ideas and strategies for increasing employee
productivity. Surya et al. (2021) noted manufacturing leaders can create stability, gain
competitive edge, cultivate new skills within their business and community by enhancing
their operational capabilities.
Recommendations for Further Research
The findings of this study reveal successful strategies to enhance employee
production in Middle Tennessee. This research study focused on five small manufacturing
business leaders who implemented various manufacturing strategies increasing employee
productivity and performance. Although the study reveals strategies for increasing
employee productivity, there are limitations. Matthay and Glymour (2020) noted research
limitations can hinder research validity and cause reason for future research. Some
limitations are lack of communication with other manufacturing leaders regarding
84
negative productivity issues, potential bias issues between manufacturing leaders and
employees, and limited availability of participants.
These limitations generate the need for further research. In underpopulated areas,
small manufacturing businesses lacked profitable and successful comparisons. These
issues can distort research needed by manufacturing leaders. To resolve this issue, Kumar
et al. (2024) noted by conducting an in-depth study extensive research data can be
extracted to satisfy problematic cases. An in-depth study would provide valuable
information to help manufacturing leaders face manufacturing businesses in unpopulated
areas and help identify effective productive strategies and overcome them. Manufacturing
businesses may attribute lost profit due to decreased productivity and employee attitudes.
Relationships between manufacturing leaders and production employees could reveal
potential bias during research. These issues may be avoided if researchers examine the
culture of the manufacturing organization before starting the research.
Finally, unpopulated communities may display unethical standards that could have
adverse effects on manufacturing businesses. These unethical standards may include
ineffective communication and concerns within the neighborhoods. It would be in the
best interest of future researchers to perform in-depth research to gain deeper
understanding of the community to provide support and guidance for manufacturing
businesses for long term profitability and success.
85
Conclusion
For this research study, I explored successful strategies manufacturing leaders
used to increase manufacturing employees’ productivity. I performed broad and in-depth
research to develop a prominent understanding of how manufacturing business leaders
stimulate their employees to increase productivity. Employee productivity can alter the
success and permanency of manufacturing businesses.
The longevity and success of manufacturing businesses impact the growth of local
communities, employment rates, and economic and societal evolution. Manufacturing
leaders need to increase manufacturing employees’ productivity to remain successful,
promote local community growth, and to encourage economic and social advancement.
Manufacturing leaders encounter various roadblocks for the lack of increased employee
productivity and success. However, I researched strategies that allowed manufacturing
leaders to increase employee productivity today and into the next decade.
I conducted five semistructured interviews of five business leaders in Middle
Tennessee who have been successful for over 5 years. I conducted five face-to-face
interviews taking notes and audio recording. Each participant was asked nine open-ended
questions that billowed strategies to increase employee productivity. I gathered most data
from interview notes and transcripts. I apprehended knowledge of manufacturing leaders’
methods, experiences, customer and business relationships, and their known
manufacturing successes. The interview findings revealed six themes: effective
communication, training and realistic goals, employee benefits and competitive pay,
86
quality tools/machines and technology, production barriers, and production performance
ratings. The research findings are worthwhile for manufacturing leaders as they can use
them to create effective strategies to increase productivity and bequeath overall success of
the manufacturing organization. Through the development of these manufacturing
strategies, manufacturing leaders can align their methods/practices with manufacturing
employees, increasing production and creating a healthy and successful workplace and
community.
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