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Mandatory Assignment Resources/16 trends reshaping the data landscape in 2016.pdf

D A T A B A S E T R E N D S A N D A P P L I C A T I O N S4 DECEMBER 2015 /JANUARY 2016

Trends Reshaping the Enterprise

Data Landscape in

D A T A B A S E T R E N D S A N D A P P L I C A T I O N S 5DECEMBER 2015 /JANUARY 2016

I t is often said that the only constant is change. For data executives and professionals, the coming year will only bring a lot more of it. Devel-

opments as diverse as cloud, big data, real time, NoSQL, analyt- ics, and the Internet of Things (IoT) will continue to reshape enterprise data operations and opportunities as we know them.

Movers and shakers from across the data industry pro- vided DBTA with their thoughts on these disruptive trends, as well as what these new develop- ments will deliver directly to the business.

By Joe McKendrick

Trends

D A T A B A S E T R E N D S A N D A P P L I C A T I O N S6 DECEMBER 2015 /JANUARY 2016

It’s Time for Real Time On-demand, real-time capabilities will

dominate analytics offerings and initiatives during the coming year. “Speed and time are the engines of disruption,” said Peter Vescuso, CMO of in-memory database provider VoltDB. “Data management sys- tems that are super-fast—that can respond immediately, in the moment, to each data event—will disrupt business, disrupt data management approaches, and disrupt how developers create apps.” The speed of global business is one factor making real time critical—and the other is decreased human attention spans, Vescuso added. “People want everything now. They want speed, and they want things personalized to their needs. They aren’t willing to wait for a slow app, a slow website, a slow response via email, or a slow response from a ven- dor. One of our telco customers has done research on this, and they’ve found the win- dow in which you can keep or lose a mobile customer is less than 250 milliseconds.”

As a result, analytics constrained to the traditional dashboards and reporting

functions are no longer sufficient, agreed Korey Lee, CIO of social media analyt- ics firm SumAll. “We’re seeing customers want data and metrics to substantiate and support real-time decision making.” For business leaders, this means an increase in “making decisions in the moment, rather than after the fact,” said Monte Zweben, co-founder and CEO of Hadoop RDBMS provider Splice Machine. “Companies want to personalize cross-channel experiences based on real-time information—the last five clicks of a mouse—not on day-old data from their ETL process.” There are

benefits to both customers and organiza- tions, he added. “The increased need for more real-time information will dramati- cally improve personalization for custom- ers, leading to increased conversion rates and ultimately revenue. This will also give enterprises the ability to test and iterate much faster, possibly around 10 to 20 times faster than before.”

Unstructured Data Will Come Into the Light

Over the coming year, organizations will continue to move unstructured data into mainstream enterprise analytics. “We’re much better at putting context around the structuring of our data,” said Matt Matsui, senior vice president of products, markets, and organizational strategy for Calabrio, a provider of customer engagement and ana- lytics software. “For example, the academic world has made a lot of progress in being able to identify sarcasm. So, we’re putting structure around it and also understand- ing the subtle nuances of context—that’s powerful.”

More Business Disruption Expect more business disruption as

data-savvy players arrive on the scene, and established businesses stage their own internal disruptions.

The biggest disruptors on the market today—such as Uber and Airbnb—are disrupting with data. There will be more data-savvy players entering other indus- tries as well. “The data analytics space is incredibly noisy and there’s still a ton of opportunity for disruption,” said Lee. “Companies that don’t get on board with being smarter about how to leverage their

data may very well end up like the book- stores that laughed at Amazon when they started selling books online. We know how that story turned out.”

Disruptors, even those emerging in the traditional corporate space, “all have the same objective—gain a deeper under- standing of their customer—because if they don’t, legacy competitors and market disruptors such as Uber, Netflix, Airbnb, and Amazon will,” said Goutham Belliappa, business information management—data integration and reporting practice lead for business and IT consultant Capgemini. “With money comes power and influence, and these business units will soon have more say about where the data manage- ment dollars are spent. I also see a greater appetite among enterprises to deploy ana- lytics solutions.”

Being data-driven is seen as the most effective way to compete in today’s business environment. “Collecting data, analyzing it, and then feeding it back for immediate use was reserved for the most innovative organizations, but moving forward, it will become much more of a commodity,” said Patrick McFadin, chief evangelist for Data- Stax, which provides an enterprise data- base platform based on Apache Cassandra. “When used in the cloud, the setup and planning become a matter of enabling the service for the end developers. Businesses can focus on what makes them money and keep overhead to a minimum.”

Greater Adoption of In-Memory Technologies

The coming year will see enterprises embracing in-memory as a strategy for increasing the flow of real-time analytics and data. The drive to real-time analytics will increase the need for data managers “to explore hybrid in-memory architec- tures that have the speed of in-memory but spill to disk for scalability and cost- effectiveness,” said Zweben. “These hybrid in-memory architectures should also simultaneously support both real-time data and analytics so there is no lag to ETL data for analytics.”

Data Democracy Will Finally Take Root After years of speculation and discus-

sion, the idea of analytics spread across the organization is materializing—

Real-time data is becoming increasingly important as companies strive to make decisions in the moment rather than after the fact.

D A T A B A S E T R E N D S A N D A P P L I C A T I O N S8 DECEMBER 2015 /JANUARY 2016

and the potential for innovation is vast. “The democratization of data provides a unique opportunity to each organization to discover internal value or areas ripe for innovation intervention,” says Geovanie Marquez, scalability architect for Wellcen- tive, a provider of health management and data analytics solutions. “Imagine where essentially everyone in your organization can look at the same data but bring their own inherent curiosities and experiences. At the very least it creates pockets of rich conversations and at the most it gives the business the information it was missing to disrupt its market.”

Ultimately, data democracy will reshape the enterprise, and this will become more apparent in the year ahead. “Front-line or operational employees will not only have the information that they need but they’ll also be empowered to make fact-based decisions,” said Rado Kotorov, global vice president and chief innovation officer at Information Builders, a provider of busi- ness intelligence software. “Using deci- sion-support apps, in under 3 minutes, operational users can access the facts they need to capture opportunities or eliminate errors. The results? Organizations using this model will begin to see an increase in productivity and a decrease in errors as employees are given easy access to facts.”

The Internet of Things— The Hot New Frontier

With the opening of IoT, data will be flowing in from more and more places. “Everyone, everything, is quickly becom- ing a sensor,” said Gayle Sheppard, CEO of Saffron, which offers a cognitive com- puting platform. “As more and more phys- ical products converge with sensors and embedded software, information will be captured from sources that in the past were unavailable. Medical devices, watches, cars, shoes—these are all sources of information about us, for us.”

Scott Gnau, chief technology officer for Hadoop distribution provider Horton- works, takes it a step further, calling this the “Internet of Anything,” or IoAT. IoAT “continues to grow, increasing the volume of data generated every day,” he pointed out. The IoAT also reverses conventional thinking about data flows, Gnau added. “Traditionally, data flows are routed in

one direction, from source systems to tar- get systems, with some level of transfor- mation or processing along the way. In the IoAT world, data flows are bi-directional and point to point. This means that data will be sent in but also will require data be sent back out or in some instances, sensors may even need to talk to each other.”

“Event storms” will challenge data systems. “The velocity component in IoT is very important and most applications require quick responses in the area of sec- onds or less,” said Bart Schouw, director of IBO Solutions at enterprise software company Software AG. “At the same time, the volume of data is exploding, where you get event storms from the thing hit- ting your data systems. Also, complexity is accelerating. Not only are the authori- zation structures becoming very complex with IoT, they tend to change a lot too. Next to authorization there is an ongo- ing pressure to give the business real time analytics on the things. In order to do this, streaming analytics components have to be added in-line of the data processing architectures.”

More App Stores for Enterprise Operations Will Pop Up

Big data has great potential, but employees need the flexibility to select apps that can help them convert this data into insights. “We have been focused on extract- ing more insights from big data, but we have not asked how we can integrate those insights into operations, where money is made,” said Kotorov. “The most disruptive enterprise data trend we’ll see in the year ahead is the development of apps that are used by operational employees to support decisions on the job. We’ll likely also see the development of app stores specifically for operational employees.”

More Algorithmic Decision Making, Greater Data Automation

There will be increasing instances of full automation to make business deci- sions. This will “ultimately become another disruptive trend in the years ahead,” said Kotorov. “Moving forward, companies have to strategize around how their profits and margins will adjust in a world of algo- rithmic decision making. That is not going to happen next year, but will be a reality in 5 years. We’re already seeing algorithmic retail sales in the form of flash sales.”

In addition, the rise in automation for data processing and analytics will continue. “Automation has already begun to trans- form data management in the enterprise by eliminating manual processes and the need for human intervention,” said Abdul Razack, senior vice president and head of big data and analytics at the IT consultancy Infosys. “With automation, companies can analyze data in real time and spot anomalies with greater accuracy and at a faster rate.”

More Cloud in the Data and Analytics Space

Cloud has been the big story in the data analytics space in recent years and will con- tinue to be so in the year ahead. “In 2016 we’re going to see the continued accelera- tion of adoption of cloud data platforms like Google BigQuery, Microsoft Azure, and Amazon Web Services,” said Ashley Stirrup, CMO of data integration software provider Talend. “Even though these businesses are quite large today, they are still just crossing the chasm. You are going to see competitors emerging, new cloud and database technol- ogy offerings, and new analytics offerings at every layer of the stack.” Roughly 40% of big data projects are being done in the cloud and that number is only going to accelerate, Stirrup predicted.

The Internet of Things is opening up new sources of information, but also requires that data be sent back out or, in some cases, that sensors talk to each other.

D A T A B A S E T R E N D S A N D A P P L I C A T I O N S10 DECEMBER 2015 /JANUARY 2016

Ashish Thusoo, CEO and co-founder of big data as a service provider Qubole, sees cloud-based big data ecosystem solu- tions disrupting the market beyond the simple “early-adopter” margin. “We can now clearly see impressive and acceler- ating triple-digit growth rates from AWS and a plethora of supporting technologies emerging from obscurity,” Thusoo said. “Some of the large, leading-edge enter- prises have already begun to split work- loads in a bi-modal fashion and run some data workloads in the cloud.”

As enterprises get comfortable with data in the cloud, “archive as a service” may become a reality in the year ahead, as well. “The year 2015 was the year when cloud service providers—like Google and AWS —offered more and less-expensive options for storing long-term data in the cloud,” said Janae Stow Lee, senior vice president of strategy for Quantum, a provider of scale-out storage, archive, and data pro- tection. Moving forward, enterprises want help with maintaining this data—with a special emphasis on compliance data, which Stow Lee calls “write-once-hope- to-read-never” data.

Corporate Cultures Evolve— Old Industrial Model Fades Away

“A greater number of business units spending dollars on data management and analytics will force their companies to eval- uate and potentially overhaul their culture but also data methods, processes, and tools that help the company connect the dots and better understand their customer,” said Belliappa. This, in turn, will help “elimi- nate existing data silos, antiquated tools,

and apply new techniques,” as well as bring data managers and professionals closer to customers, he added.

NoSQL Continues Its Rise “It’s no secret the NoSQL data move-

ment is real, growing, and the future of data management,” says Jeff Carr, CEO of SlamData, which provides a visual interface to explore and query NoSQL data. “While the diversity will be greater than we saw in the RDBMS age, the challenges will also be greater. A common problem has started to

emerge—existing analytic tooling was built for the age of the RDBMS and does not work well in the world of NoSQL, includ- ing Hadoop. Relational algebra, the founda- tion of relational analytics, cannot deal with the complexity and lack of uniformity of NoSQL data, period.” Carr recommended the use of projects such as Quasar and For- ward, which are “built to move analytics beyond the realm of purely flat data.”

More Data Coming From the Outside The coming year will see greater reli-

ance on data generated and derived out- side the organization. Such data, often streamed and used in real time, will not entirely be under data managers’ control, so they need to prepare for it, said YY Lee, chief operating officer of business analyt- ics platform provider FirstRain. “Building systems to smartly and responsively lever- age dynamic external data is challenging,” he added. “Some of this external data is objective encyclopedic information, some is dynamic and social, and most of it is unstructured, heterogeneous, and unpre- dictable. This mix of data will be instru-

mental to truly understanding market behavior and for responding to critical customer developments.”

Data Lakes Proliferate The data lake, an emerging approach,

is likely to be seen in more enterprises during the coming year. “You don’t want to try to get your IoT data into a traditional data warehouse where data is structured for operational reporting and historical analysis,” said Darren Cunningham, vice president of marketing for SnapLogic, which provides an integration platform as a service. “With the right data manage- ment strategy in place, IT organizations and lines of business will either sink with a data warehouse or swim with a data lake in 2016.” This enables organizations “to track and manage data they’ve never had access to in the past—sensors, mobile devices, and the sheer exhaust of the web,” he continued.

Increased Use of Engineered Systems There’s a lot going on with information

technology, but the most disruptive trend may be less obvious. “For a trend to be truly disruptive you need supercomputing power,” said Sunder Singh, global head of Tata Consultancy Services’ Oracle Practice. Engineered systems or appliances meet the growing processing requirements demanded by social media and the IoT. “Processing that much data in as near real-time as possible requires incredible amounts of data to be acquired, stored, processed, and protected,” he said. “Engineered systems today extend their price-performance capabilities into high-volume data warehousing, transaction processing, and analytics.”

Supply Networks Become More Supple The convergence of IoT and digital ser-

vices means more insight, innovation, and alignment—if they are aligned with data sources in the right way. “Machine networks link sensors, components, equipment, and activities that enable companies to capture market inputs, reduce operational risk, achieve nimble supply chains, and deliver unsurpassed customer experience,” said David Parker, senior global vice president for SAP. “By automating data collection and operations, companies can manage remote processes, monitor trends, and gain new levels of competitive advantage.” n

As more data from outside organizations is leveraged, it will be necessary to build systems that can smartly and responsively lever age dynamic external data.

Copyright of Database Trends & Applications is the property of Information Today Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use.

Mandatory Assignment Resources/5 Reasons Why Your Companys Analytics Program Is Failing.pdf

5/21/2018 5 Reasons Why Your Company's Analytics Program Is Failing

http://news.gallup.com/opinion/gallup/181130/reasons-why-company-analytics-program-failing.aspx?version=print 1/3

 J A N UA R Y 1 5 , 2 0 1 5

5 Reasons Why Your Company's Analytics Program Is Failing by Bill Petti and Sean Williams

This post is part of an ongoing series that explores how organizations can use data and analytics to drive performance outcomes.

Nearly every company is trying to get smarter about the way data is collected and evaluated. From gaining a better understanding of customer behavior to predicting the performance of new products to optimizing their workforce, most organizations are using advanced data analysis to inform their strategies and boost performance.

But despite sizable investments in hardware, software and people, many of these organizations are not realizing the return they hoped for.

At Gallup, we've been helping organizations get the most out of their data for more than 75 years. Along the way, we've learned a number of valuable lessons, seeing firsthand how difficult it can be to turn data into insights, and then for those insights to actually effect change in an organization's behavior and performance. Performance doesn't improve solely because an organization gains access to new data. Nor does it improve simply because the analytics team uncovers a brilliant insight from the data. Moving from insight to change is not easy, and there are plenty of barriers to overcome along the way.

Here are five reasons why your company's analytics program is failing:

1. You don't identify the problem you are trying to solve. First and foremost, organizations have to start by identifying specific problems they are trying to solve with their analytics program. Many times organizations approach analytics as a technology issue, focusing on hardware and software without thinking through the problems they want to solve and how they will use the insights they gather from the data. Starting with specific problems provides focus and the ability to design the program from the outset to ensure the most relevant, actionable information will be produced.

5/21/2018 5 Reasons Why Your Company's Analytics Program Is Failing

http://news.gallup.com/opinion/gallup/181130/reasons-why-company-analytics-program-failing.aspx?version=print 2/3

2. You don't use the right metrics to gather insights. The most powerful metrics provide important insights into the specific factors that drive an organization's performance. These metrics are also the most predictive of business outcomes, are reliable over time and are actionable for decision-makers and front-line employees.

Organizations tend to spend a great deal of time and effort creating descriptive reports and summaries that do not actually support their decision-making with data-driven insights, causing leaders to simply look in the rearview mirror. Other times, the metrics they do develop are not easily actionable by front-line employees -- the models and metrics are correct, but people simply don't know how to act on the results. Evolving your metrics from those that simply describe what has happened to those that help you understand why something happened makes it easier to fix problems and optimize performance. Understanding what will happen through the use of predictive analytics allows organizations to anticipate problems and capitalize on the most promising opportunities in the most efficient way possible.

3. You don't have the right data and systems. For organizations to fully apply their data-driven insights, they must have the right infrastructure in place. Data needs to be useable and useful -- accurate and timely data that can be easily merged from across the organization. Moreover, organizations must design their reporting systems so that employees can see information in an easy- to-understand format. This allows employees to spend less time making sense of complex data and more time using insights from the data to solve problems.

4. You don't have the right people. Organizations need employees throughout the hierarchy who understand how to use data appropriately and appreciate its limitations -- this applies equally to your top leaders, analytic talent, decision-makers, and managers. Misusing data is potentially more dangerous than not using it at all. Organizations also need employees who can deliver on the actions and behaviors the data and models suggest are optimal -- not just leaders, managers and analysts, but front-line employees as well. A team that lacks the appropriate talent and skill required to execute in all aspects of an analytics program is one of the most common failure points that Gallup has seen organizations struggle with.

5. You don't have the right culture. Finally, organizations must have a culture in place that embraces data-driven decision-making and one that is capable of making the insights, behaviors and necessary changes a priority. Culture represents the way an organization gets things done, and often times Gallup has found significant misalignments between what an organization's analytics program says they should focus on and what is actually incentivized (both formally through pay plans and informally through expectations and mentorship). The best modeling in the world can often be stifled by an unreceptive culture.

5/21/2018 5 Reasons Why Your Company's Analytics Program Is Failing

http://news.gallup.com/opinion/gallup/181130/reasons-why-company-analytics-program-failing.aspx?version=print 3/3

This is only a brief description of barriers to a successful analytics program. Throughout this series, we will delve deeper into these barriers and other topics, discussing what we've seen go right and go wrong with analytics programs. We hope you'll join us.

Bill Petti is a Subject Matter Expert at Gallup. Sean Williams is a Senior Practice Expert at Gallup.

Subscribe to receive weekly Gallup News alerts. Never miss our latest insights.

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RELEASE DATE: January 15, 2015 SOURCE: Gallup http://news.gallup.com/opinion/gallup/181130/reasons-why-company-analytics-program- failing.aspx CONTACT: Gallup World Headquarters, 901 F Street, Washington, D.C., 20001, U.S.A +1 202.715.3030

Copyright © 2016 Gallup, Inc. All rights reserved. Gallup, Inc. maintains several registered and unregistered trademarks that include but may not be limited to: A8, Accountability Index, Business Impact Analysis, BE10, CE11, CE11 Accelerator, Clifton StrengthsExplorer, Clifton StrengthsFinder, Customer Engagement Index, Customer Engagement Management, Dr. Gallup Portrait, Employee Engagement Index, Enetrix, Engagement Creation Index, Follow This Path, Gallup, Gallup Brain, Gallup Business Journal, GBJ, Gallup Consulting, Gallup-Healthways Well-Being Index, Gallup Management Journal, GMJ, Gallup Panel, Gallup Press, Gallup Tuesday Briefing, Gallup University, Gallup World News, HumanSigma, HumanSigma Accelerator, ICE11, I10, L3, ME25, NurseInsight, NurseStrengths, Patient Quality System, Performance Optimization, Power of 2, PrincipalInsight, Q12, Q12 Accelerator, Q12 Advantage, Selection Research, Inc., SE25, SF34, SRI, Soul of the City, Strengths Spotlight, Strengths-Based Selling, StatShot, StrengthsCoach, StrengthsExplorer, StrengthsFinder, StrengthsInsight, StrengthsQuest, SupportInsight, TX(R+E+R)=P3, TeacherInsight, The Gallup Path, The Gallup Poll, The Gallup School, VantagePoint, Varsity Management, Wellbeing Finder, Achiever, Activator, Adaptability, Analytical, Arranger, Belief, Command, Communication, Competition, Connectedness, Consistency, Context, Deliberative, Developer, Discipline, Empathy, Fairness, Focus, Futuristic, Harmony, Ideation, Includer, Individualization, Input, Intellection , Learner, Maximizer, Positivity, Relator, Responsibility, Restorative, Self-Assurance, Significance, Strategic, and Woo. All other trademarks are the property of their respective owners. These materials are provided for noncommercial, personal use only. Reproduction prohibited without the express permission of Gallup, Inc.

Mandatory Assignment Resources/The Importance of Stakeholders for Corporate Reputation.pdf

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Inzinerine Ekonomika-Engineering Economics, 2015, 26(1), 75–83

The Importance of Stakeholders for Corporate Reputation Migle Matuleviciene, Jurgita Stravinskiene

Kaunas University of Technology

K. Donelaicio st. 73, LT-44029, Kaunas, Lithuania

e-mail: migle.matuleviciene@gmail.com, jurgita.stravinskiene@ktu.lt

http://dx.doi.org/10.5755/j01.ee.26.1.6921

Many scientists analysed the importance of stakeholders on the ground of the interrelationship between an

organization and stakeholders. Nevertheless, scientists do not define which stakeholders should be considered as the most

or the least important. For this reason, the stakeholder grouping in accordance with their importance to the organization

has been done. Stakeholders are divided into internal and external; primary and secondary; normative, functional,

diffused and customers; regulatory, organizational, community and media; groups in the order of power and interest. In

this paper, we also highlighted another stakeholder group, which we call a shadow group due to its illegal impact on the

organization or industry. The analysis of stakeholder grouping initiated that while grouping stakeholders in accordance

with their importance to the organization, it is worth to divide them into primary and secondary. Allocating the

stakeholders to the primary and secondary groups unconsciously leads to the conclusion that primary stakeholders take

the first, i.e. the most important place with regard to secondary stakeholders. It was observed that the scientists, acting on

business interests, propose that even these stakeholders who find themselves in the same stakeholder group have unequal

importance - the organizations give the priority to stakeholders, previously considered as the secondary. Consequently,

because of these two different mainstream approaches of the theorists and the scientists, acting on business interests, it

remains unclear what stakeholders should be attributed to which groups considering their importance to organization.

Keywords: stakeholders, stakeholder importance, corporate reputation.

Introduction

The importance of scientific stakeholder analysis is

unquestionable because of many scientists research in this

area - the stakeholders do not lose their importance for

many years. Proceedings of the first scientists are still

talking points nowadays. Although the importance of

stakeholders is sufficiently broad to analyze, there is a lack

of detailed stakeholder analysis for corporate reputation.

Many researchers provide a relatively narrow view to

corporate reputation as a result of interaction between

stakeholders and organization. However (Roberts & Dowling, 2002; Helm, 2007; Puncheva, 2008; Omar, 2009;

Siano et al., 2010; Peloza et al., 2012) treat corporate

reputation as a result of interaction between stakeholders

and organization. (Capriotti, 2009) states that corporate

reputation depends on how stakeholders value the

organization. Consequently, policy and decisions between the organization and stakeholders influence corporate

reputation (Jones, 1995). Although the scientists state that

the relationship between organization and stakeholders is

mutually important in the context of benefit and harm or

rights and obligations (Neville et al., 2005), it is also

observed that stakeholders make greater impact on the

organization than the organization can make on

stakeholders. Furthermore, it was revealed that the importance of different stakeholders in different

organizations is not equivalent. According to (Walker &

Dyck, 2014), it is supposed that the importance of

stakeholders is unequal because of the different

stakeholders that are differently defined for their

importance on the organization and its reputation.

Therefore, further analysis of the stakeholders, in

consideration of their importance to corporate reputation is

necessary.

With the reference to the aforementioned scientific

approaches, it is useful to recognize the stakeholder

concept and to substantiate the importance of stakeholders

for corporate reputation. Therefore, the research problem

is structured as a question, i.e. why and what stakeholders

are important to organization for corporate reputation? The research aims to substantiate the importance of

stakeholders for corporate reputation.

The object of this research is the substantiation of

stakeholder importance for corporate reputation.

The research methods involve systemic and

comparative analysis of scientific literature and

publications.

Stakeholder Concept

There have been found two terms in the scientific

literature – stakeholders and stakeholder groups, however

both concepts are used as synonyms. There will be used

the term „stakeholders“ in this paper. Scientists have made

a major contribution to the practical interpretation of this

concept, but most scientists to this day still certainly

support the first stakeholder definition of (Freeman, 1984) –

“any group or individual who can affect or is affected by the

achievement of the organization's objectives“ (Freeman,

1984, p. 46). (Bryson, 2004) argues that stakeholders are

usually defined by two opposite criterion: some scientists

argue that stakeholders must have the power to directly

affect the future of organization - if not, they could not be

Migle Matuleviciene, Jurgita Stravinskiene. The Importance of Stakeholders for Corporate Reputation

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considered as stakeholders. Another group of scientists argue that the stakeholders are formally powerless to affect

the future of organization.

In order to bring clarity and to systematize the number

of different stakeholder concepts (Mitchell et al., 1997)

offer to group stakeholder concepts according to certain

criteria:

1. Existing relationships between organization and stakeholders.

2. Power dependence - when organization is dependent on stakeholder and vice versa or mutual power

dependence relationship.

3. Basis for legitimacy of relationship. 4. Stakeholder interests - legitimacy not implied. According to these criteria, singled out by (Mitchell et

al,. 1997), there were proposed stakeholder definitions,

frequently presented in the scientific literature (see 1

table). 1 Table

Stakeholder concept interpretations (Freeman, 1984; Mitchell et al., 1997; Post et al., 2002; Leach, 2002; Bryson, 2004; Bailur,

2006; Dickinson – Delaporte et al., 2010; Florea & Florea, 2013)

Year Author Definition

EXISTING RELATIONSHIPS

1991 Thompson et al.* "Groups in relationship with an organization"

1993 Brenner* "Having some legitimate, non-trivial relationship with an organization [such as] exchange transactions, action impacts, and moral responsibilities"

1994 Freeman* "Participants in "the human process of joint value creation"

1994 Wicks et al. * "Interact with and give meaning and definition to the corporation"

2008 Kliatchko*** "All the relevant publics or multiple markets with which any firm interacts"

POWER DEPENDENCE

1984- 2013

Freeman (1984), Mitchell et al., (1997),

Bailur (2006), Florea &

Florea (2013)

"Those groups without whose support the organization would cease to exist"

1964 Rhenman* "Are depending on the firm in order to achieve their personal goals and on whom the firm is depending for its existence"

1971 Ahlstedt &

Jahnukainen*

"Driven by their own interests and goals are participants in a firm, and thus depending on it and whom for its sake the

firm is depending"

1983 Freeman & Reed* 1) "Individual or group who can affect the achievement of an organization's objectives or who is affected by the achievement of an organization's objectives"

2) "Groups on which the organization is dependent for its continued survival"

1984 Freeman "Any group or individual who can affect or is affected by the achievement of the organization's objectives"

1987 Freeman & Gilbert* "Can affect or is afiected by a business"

1988 Bowie* "Without whose support the organization would cease to exist"

1992 Nutt & Backhoff** "All parties who will be affected by or will affect [the organization’s] strategy"

1994 Langtry* "The firm is significantly responsible for their well-being, or they hold a moral or legal claim on the firm"

1994 Starik* "Are or might be influenced by, or are or potentially are influencers of, some organization"

1995 Nasi* "Interact with the firm and thus make its operation possible"

1995 Brenner* "Are or which could impact or be impacted by Ihe firm/organization"

1998 Eden & Ackermann** "People or small groups with the power to respond to, negotiate with, and change the strategic future of the organization"

2002 Johnson & Scholes** "Those individuals or groups who depend on the organization to fulfill their own goals and on whom, in turn, the

organization depends"

2002 Post et al. "The stakeholders in a firm are individuals and constituencies that contribute, either voluntarily or involuntarily, to its wealth-creating capacity and activities, and who are therefore its potential beneficiaries and/or risk bearers"

2002 Leach "People whose personal or professional welfare depends substantially upon the outcomes of the partnership"

2008 Roloff*** "Any individual or group who can affect or be affected by the approach to the issue addressed by the network"

2013 Florea & Florea "Stakeholders are the persons, institutions, organizations, formal and non formal groups which are interested or can be

affected or which could influence the company decisions or actions"

BASIS FOR LEGITIMACY OF RELATIONSHIP

1987 Cornell & Shapiro* "Claimants" who have "contracts"

1988 Evan & Freeman* 1) "Have a stake in or claim on the firm"

2) "Benefit from or are harmed by, and whose rights are violated or respected by, corporate actions"

1989 Alkhafaji* "Groups to whom the corporation is responsible"

1990 Freeman & Evan* "Contract holders"

1992 Hill & Jones* "Constituents who have a legilimate cîaim on the firm ... established through the existence of an exchange relationship"

who supply "the firm with critical resources (contributions) and in exchange each expects its interests to be satisfied (by

inducements)"

1994 Clarkson* "Are placed at risk as a result of a firm's activities"

1995 Donaldson & Preston* "Persons or groups with legitimate interests in procedural and/or substantive aspects of corporate activity"

1995 Bryson** "Any person group or organization that can place a claim on the organization’s attention, resources, or output, or is

affected by that output"

1995 Clarkson* "Stakeholders are persons or groups that have, or claim, ownership, rights, or interests in a corporation and its activities,

past, present, or future"

STAKEHOLDER INTERESTS – LEGITIMACY NOT IMPLIED

1989 Carroll* "Asserts to have one or more of these kinds of stakes" - "ranging from an interest to a right (legal or moral) to ownership or legal title to the company's assets or property"

1991 Savage et al. * "Have an interest in the actions of an organization and ... the ability to influence it"

1993 Carroll* "Asserts to have one or more of the kinds of stakes in business"

1995 Clarkson* "Have, or claim, ownership, rights, or interests in a corporation and its activities"

* cited in (Mitchell et al., 1997); ** cited in (Bryson, 2004); *** cited in Dickinson – (Delaporte et al., 2010)

Inzinerine Ekonomika-Engineering Economics, 2015, 26(1), 75–83

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Despite the fact that there are many different

definitions with similar meanings, an overview of different

sources suggest that (Freeman’s, 1984) definition could be

considered as one of the best, which concisely and

accurately identifies the relationships between the

organization and stakeholders, based on the power

dependence. With reference to this scientist, the

stakeholders could be treated as groups or individuals, who

can influence or be influenced by the purposes of

organization. Despite the mutual influence between the

organization and stakeholders, it is proposed that

stakeholders may have a greater impact on the organization

because of a major power. According to this theoretical

background, it can be summarized that stakeholders are

very important to the organization and to corporate

reputation. Therefore, the importance of stakeholders to

the organization is presented in the next section.

The Importance of Stakeholders for Corporate

Reputation

An integrated view to stakeholder importance. The

analysis of the reasons for stakeholder importance to

organizations revealed that it is profitable for organization

to maintain relationships with stakeholders for one main

source - resources which are necessary for organization. A review of (Post et al., 2002; Neville et al., 2005; Huang & Gardner 2007; Wolf, 2014) and the resource dependency

theory enables to state that the relationship between

stakeholders and organization are based on the dependency

on certain resources, which are vital to organizations and

their loss “may place its survival in jeopardy" (Neville et al.,

2005, p. 1187). The influence of stakeholders on organization comes

through the use of power (Mitchell et al., 1997, Casciaro &

Piskorski, 2005, Neville et al., 2005) or under pressure

(Post et al., 2002). The power is treated as a privilege to

control stakeholder resources (Post et al., 2002). The

dependence on resources puts organization in a relatively

weaker position in regard to stakeholders (Neville et al.,

2005). In order to avoid this, the fundamental recource for

organization is to reduce the dependency on resources,

increasing the possibility to dispose of its own resources

(Wolf, 2014). Although many scientists analyze the techniques in which the organization can reduce its

dependence on the resources, it will not be widely discussed

in this paper.

The importance of stakeholders to corporate

reputation. Despite of the direct impact on the

organization, stakeholders also have an indirect impact on

the organization, i.e. on the ground of corporate reputation.

The interrelationship between stakeholders and the

organization is apparent – based on homogeneous

definitions of corporate reputation. The analysis of the

corporate reputation concept has revealed that corporate

reputation is generally treated as a result of the interaction

between stakeholders and the organization (Roberts &

Dowling, 2002; Helm, 2007; Puncheva, 2008; Omar, 2009;

Siano et al., 2010; Peloza et al., 2012). Many scientists

analysed the importance of stakeholders for corporate

reputation on the ground of this interrelationship (Neville

et al., 2005; Hillenbrand & Money, 2007; Gregory, 2007;

Capriotti, 2009; Dickinson - Delaporte et al., 2010; Krstic,

2014; Walker & Dyck, 2014).

The insights of the aforementioned scientists suggest

that the organization is able to secure not only a good

organizational performance but also a high corporate

reputation with respect to the relationships with

stakeholders. (Neville et al., 2005) made an assumption

that the stakeholders have an impact both on the financial

performance and on corporate reputation when the

organization is dependent on stakeholders. The

stakeholders possess the resources that are necessary for

the organization. (Krstic, 2014) argued that the

interrelationship between stakeholders and the

organization has not only a positive but also a negative

expression in terms of profit, persistence, relationship and

corporate reputation. There is a threat against corporate

reputation when the relationships between stakeholders

and the organization are one-sided, unsupported with

responsibility, transparency and accountability. A

collaboration between stakeholders and the organization

enables the organization to reduce the reputational risk, to

increase the availability of resources, to solve the arising

problems, to achieve the organizational goals, to facilitate

certain business processes and to improve the quality of

products and services (Krstic, 2014). In order to secure a

strong reputation, the organization must be able to engage

in subtle relationships and to manage a feedback between

the organization and stakeholders (Dickinson-Delaporte et

al., 2010) on the ground of a two-way communication

(Krstic, 2014). Long-term commitments between the organization and stakeholders can ensure the efficiency of

a performance, even when a crisis strikes (Dickinson-

Delaporte et al., 2010). (Hillenbrand & Money, 2007)

agreed with (Jones, 1995) that the mutual trust between the

organization and stakeholders is the ground for a long-term

success. (Hillenbrand & Money, 2007) substantiated that a

long-term business success depends on the responsible

relationships beween the organization and stakeholders.

Responsibility in the relationships determines the future

financial success, a sustainability and a high corporate

reputation. These results are well compared to Capriotti

(2009), who revealed that responsibility and transparency

in the media have a positive impact on a stakeholder

assessment of the organization. The author also argued that

organizations that are appreciable by stakeholders, achieve

a higher corporate reputation. (Dickinson-Delaporte et al.,

2010) analyzed the impact of a brand communication on

corporate reputation and found that stakeholders bracket

together different product characteristics. Consequently,

the organization must ensure the stakeholder solidarity to

the brand. This can help to reduce the disjuncture between

different stakeholders. A greater stakeholder identity with

the brand and an estimation of the organization lead to a

higher corporate reputation. (Gregory, 2007) performed a

similar analysis. He analysed the development of the

corporate brand and emphasized that in this process, either

directly or indirectly, all stakeholders must be involved.

(Gregory, 2007) argued that the corporate brand can not be

chaotic or inconsistent with the stakeholder visions. The

same principle can be applied to form the corporate

Migle Matuleviciene, Jurgita Stravinskiene. The Importance of Stakeholders for Corporate Reputation

- 78 -

reputation. Many scientists agree that it is necessary to

involve all stakeholders in the development of the

corporate reputation. It is important because stakeholders

can influence the corporate image, reputation and revenue -

directly through decisions, boycotting, gentle revenge,

income - taxes, and restriction of resources.

In consideration of the various scientists, it can be

concluded that stakeholders have an indirect impact on

corporate reputation – through the stakeholder relationship

with the organization. In part, stakeholders unconsciously

form corporate reputation. On the other hand, the

organization must try to maintain the relationships, to satisfy

the stakeholder expectations, to coordinate the performance

and to consider the stakeholder interests. Organization also

should be able to fulfil stakeholder requirements primarily

due to the fact that the stakeholders, realizing that they do

not receive a sufficient benefit from organization, can

easily choose cooperation with another organization.

Stakeholders can always find an alternative when there is a

clash of interests (Neville et al., 2005).

A brief overview of the importance of different

stakeholders for corporate reputation. The importance of

interrelationship between the organization and stakeholders

could not be treated unambiguously with regard to all

stakeholders. According to Krstic (2014), some stakeholders

often arise a higher reputational risk than the remaining.

They are shareholders, customers, employees and non-

governmental organizations. Furthermore, one of the

stakeholders, which unconsciously involves in disruption

(Krstic, 2014) or development of corporate reputation, is

media (Capriotti, 2009) - the media contributes to forming

public opinion about organization, from which the corporate

reputation arises. The media can be considered as the riskiest and the most uncontrollable stakeholder group,

which has the impact on corporate reputation. However, it

can not be regarded as the most dangerous stakeholder.

The scientists do not distinguish another dangerous

stakeholder group – the lobbyists. According to (Walker & Dyck, 2014), who claimed that corporate reputation is

perceived unequaly by different stakeholders, it is

supposed that the organization needs to take notice of

those stakeholders who negatively perceive corporate

reputation. It is presupposed that a negative perception

have a negative impact both on a stakeholder behavior and

corporate reputation. It was observed that the recent scientists treat the

stakeholders differently, according to the stakeholder

importance to the organization. Nevertheless, scientists do

not define which stakeholders should be considered as the

most or the least important. However, it is neccesary to

review the stakeholder groups found in the scientific

literature and to prioritize the stakeholders by their

importance to the organization. The stakeholder grouping

can help to reveal which stakeholders are the most

important to the organization. Stakeholder groups are

discussed in the next section.

Stakeholder Groups, Found in the Scientific

Literature

Many scientists speak up for the necessity to identify

and analyze the stakeholders for organizations. They argue

that the effective relationship management between

organization and stakeholders ensure the success to

organization and the satisfaction to stakeholders (Bryson,

2004). However, the review of the scientific literature confirms that there is no single construct that allows the

identification of stakeholders in general - the stakeholders

vary, depending on the industry, organization, geographic

situation and specific problem (Mitchell et al., 1997; Bailur,

2006; Gil-Lafuente & Paula, 2013). There is a widely usable

stakeholder model of Donaldson & Preston (1995) in the

scientific literature. It reflects that all stakeholders are

equally important in the relationship with organization -

neither of stakeholders is preeminent. Although this model includes the all key stakeholders - the investors, political

groups, customers, the public, employees, trade associations,

suppliers and the government, however, scientists propose

more different stakeholders, which may be interested in the

organization - there are critics, non-governmental

organizations (Dickinson – Delaporte et al., 2010, Sontaite,

2011, Gil-Lafuente & Paula, 2013), the media (Neville et

al., 2005, Fiedler & Kirchgeorg, 2007, Dickinson-Delaporte

et al., 2010, Sontaite, 2011) business partners (Neville et al.,

2005, Sontaite, 2011, Florea & Florea, 2013), local

community (Neville et al., 2005, Sontaite, 2011, Gil-

Lafuente & Paula, 2013, Florea & Florea, 2013) natural

environment (Neville et al., 2005), the board of directors

(Florea & Florea, 2013), owners, competitors, retailers, trade

associations, government regulatory agencies, financial

institutions, analysts / experts, interest groups (Sontaite,

2011) and even terrorists (Freeman, 1984).

There are many stakeholder groups, but the most

popular ones will be discussed, usually found in the

scientific literature.

Internal and external groups. Internal stakeholders are

more interested in financial activities of organization, they

feel concern about profit, efficiency and financial return. External stakeholders are dependent on decisions and

actions of organization or may influence them themselves. They are interested in value, quality, satisfaction, long-term

relationships, ethical and moral actions of organization,

financial support and so on (Florea & Florea, 2013). Despite

the fact that the internal stakeholders are considered to be

the leading, in some cases the external stakeholders can be

the prior, therefore they can not be demoted (Bailur, 2006). Shareholders/owners, employees, managers, the board of

directors are considered to be the internal, whereas

customers, suppliers, business partners, community, the

public, competitors, the government, special interest groups,

retailers, trade associations, government regulatory agencies,

financial institutions, analysts/experts, terrorists - the

external (Freeman, 1984; Sontaite, 2011; Florea & Florea,

2013).

Primary and secondary groups. (Freeman, 1984;

Clarkson, 1995; Mitchell et al., 1997; Bailur, 2006;

Sontaite, 2011; Florea & Florea, 2013; Mishra & Mishra,

2013; Wolf, 2014) divide stakeholders into primary and

secondary. The primary stakeholders are vital to the persistence of organization - their withdrawal can lead the

organization to performance cessation (Clarkson, 1995;

Bailur, 2006; Sontaite, 2011; Mishra & Mishra, 2013). (Clarkson, 1995) argues that the secondary stakeholders

are also important to organization in the context of their

Inzinerine Ekonomika-Engineering Economics, 2015, 26(1), 75–83

- 79 -

relationship, but the persistence of organization does not

depend on the secondary stakeholders. (Sontaite, 2011) identifies these primary stakeholders - consumers,

suppliers, employees, owners, community, whereas the

media, competitors, financial institutions, the government,

public interest groups are the secondary stakeholders. (Florea & Florea, 2013) single out the third group - key

stakeholders. They are defined as "people or organizations who might belong to either or neither of the first two

groups“ (Florea & Florea, 2013, p. 132). These stakeholders

are important because of participation in the organization

management and financing, during decision-making

process and implementation. The key stakeholders are

policy makers, officials, important professionals or

community personalities who have a strong position or

influence (Florea & Florea, 2013). Normative, functional, diffused and customer groups.

Dowling (1995) highlights the fact that organization does

not have one corporate reputation. He offers to divide

stakeholders into four groups, according to how

homogenous is corporate reputation within groups. According to his suggestion, the stakeholders are divided

into the following groups - normative, functional, diffused

and customer‘s. Stakeholders, which belong to a normative group, secure functioning of organization and establish the

certain rules and norms - they involve the government,

regulatory agencies, trade associations, professional

societies, shareholders, the board of directors. Functional stakeholders are like mediators, which facilitate

organization's daily operations – they are employees,

suppliers, unions, distributors, service providers. Diffuse stakeholders generally take an interest in the activity of

organization only during the crisis of organization – they

are journalists, community members, the special interest

groups. The fourth group of stakeholders is customers -

they secure welfare of organization and can be segmented

according to the needs, involvement and experience. These four groups of stakeholders have a different approach to

organization, so corporate reputation in a context of

different groups can not be equivalent - each stakeholder

group has an unequal perception of a corporate reputation.

Therefore corporate reputation must be managed

differently according to the interests of each stakeholder

group. Regulatory, organizational, community and media

groups. Henriques & Sadorsky (1999) propose stakeholder

groups, similar to previously discussed groups of

(Dowling, 1995). The regulatory group includes those stakeholders such as trade associations (limiting actions of

the organization under the certain legislations), informal

networks (important sources of information technology),

competitors (who can become leaders in a certain

technologies, which will eventually become the standard in

the industry). This group may be equated as a normative group, singled out by (Dowling, 1995). The organizational

group includes those stakeholders which may have a direct

impact on organization - it is consumers, suppliers,

employees and shareholders. The organization in a way is dependent on organizational stakeholder group. This group

is similar to a functional group, distinguished by (Dowling,

1995), except that (Dowling, 1995) distinguishes consumers

as a separate group. The community, with help of certain

organizations, can unite against organizations' activities

and have a significant impact on the results of

organization's performance. This stakeholder group may be closely associated with a group of media, because the

media forms public opinion about organization, especially during the crisis of organization. Henriques & Sadorsky (1999) claim that public opinion about organization is

formed through the influence of media.

Groups in order of power and interest. (Freeman,

1984) developed a strategic stakeholder matrix, based on a

stakeholder distribution in the four groups under the

influence of power and interest levels. The importance of each stakeholder to organization depends on where the

stakeholders find themselves in the matrix field (Gregory,

2007) (see Figure 1). As stated by (Polonsky & Scott,

2005), the position of stakeholder in the matrix enables the

organization to choose the most appropriate strategies for

the relationship development with stakeholders (Gregory,

2007). INTEREST

Low High

Low

POWER

High

Figure1. Stakeholder grouping, according to the strategic

stakeholder matrix (adapted by Bryson, 2004; Gregory, 2007)

Bryson, 2004) argues that the key players have a

significant power and interest, subjects do not have the

power but have a high interest. Context setters do not care about the organization, but these stakeholders have the

high power on organization, while the crowd is the

stakeholders, which have neither the interest nor the

power. According to (Mitchell et al., 1997), the scientists often prove that in the reality almost every stakeholder

may have the influence on the performance of

organization, whereas it is possible to distinguish

accurately the interested stakeholders from disinterested by

grouping them under the power and interest.

A shadow stakeholder group. The review of the

scientific literature showed that the discussed stakeholder

groups do not describe all stakeholders of the organization.

There were found some stakeholders that act indirectly and

can not be considered as partners of the organization.

(Hine & Preuss, 2009) attributed them to the secondary

stakeholder group, but in our oppinion, this group can not

be equated or identified with the secondary stakeholder

group that was proposed by (Freeman 1984; Clarkson,

1995; Mitchell et al., 1997; Bailur, 2006; Sontaite, 2011;

Florea & Florea, 2013; Mishra & Mishra, 2013; Wolf,

2014). Stoney & Winstanley (2001) argued that it is the tertiary stakeholder group. (Campos & Giovannoni, 2007)

compare this stakeholder group with lobbyists, who have

the access to political structures (de Figueiredo & Richter,

2014) and the performance of this group is equivalent to

corruption. We suggest to entitle this group as a „shadow“

A

Crowd (minimal effort)

B

Subjects (keep informed)

C

Context setters (keep

satisfied)

D

Players

Migle Matuleviciene, Jurgita Stravinskiene. The Importance of Stakeholders for Corporate Reputation

- 80 -

stakeholder group. In principle, this stakeholder group

functions as a normative regulator and is associated with

political impact on the organization. On the other hand, it

functions illegally and is not directly related to the

organization or its survival (Hine & Preuss, 2009).

Therefore, we put a proposal that the shadow stakeholder

group is related more to the industry, than to a particular

organization. As (Hine & Preuss, 2009) stated, it is the

group that may keep down the organization. (Campos &

Giovannoni, 2007) submitted that the shadow stakeholders

generally act in transit, politically unstable and corrupt

countries. Whereas de (Figueiredo & Richter, 2014) stated,

that the government and social groups can be attributed to

the shadow stakeholder group. They are interested in the

enactment of particular laws that affect particular

industries. Organizations can suspend the performance and

suffer losses in the case of a new lobbying organizations,

which get the opportunity to line their own pockets. The

experience of many countries has shown that the

establishment of new organizations is the secondary

(shadow) activity of persons who are interested in

lobbying.

It can be stated that there are predominantly four

leading stakeholder groups – shareholders, employees,

suppliers and customers. The analysis of their importance

to the organization has revealed that shareholders and

employees usually belong to the same group of

stakeholders. Whereas suppliers and customers rarely

belong together to the particular group of stakeholders.

The analysis of stakeholder grouping initiated that while

grouping stakeholders in accordance with their importance

to the organization, it is worth to divide them into primary

and secondary. Allocating the stakeholders to the primary

and secondary groups unconsciously leads to the conclusion

that primary stakeholders take the first, i.e. the most

important place with regard to secondary stakeholders.

Discussion

The stakeholder distribution has raised some doubts.

Scientists often attribute shareholders, employees,

suppliers and customers to the primary stakeholder group.

However, it was observed that the scientists do not

subsume shareholders and employees to the same

stakeholder group with suppliers and customers.

The analysis of a stakeholder grouping revealed the

other important question – it was observed that the

scientists, acting on business interests, criticize the

aforementioned stakeholder grouping. They argue that

even these stakeholders who find themselves in the same

stakeholder group have unequal importance to the

organization. (Vilanova 2007; Kaler, 2009; de Bussy &

Suprawan, 2012) stated that employees and shareholders

were attributed to the same stakeholder group for a long

time. However, the shareholders take up a higher position

than the employees. (Stieb, 2009) noticed that the interests

of the shareholders should not often be the leading. He

queries whether it is possible to rely on the theory in a real

business. Therefore, the following assumption is made that

the stakeholder grouping is ambiguous – based on the

stakeholder theory, which is difficult to adapt in a real

business.

(Kaler, 2009; Tullberg, 2013) criticized stakeholder

grouping. They argued that the scientists often distinguish

only a few key stakeholders and group them into two

categories – the primary and the secondary stakeholders.

(Kaler, 2009) provided a broader view on stakeholders and

on their grouping. He argued that the interests of the

secondary stakeholders must be equated with the interests

of the primary stakeholders. From the business prospect,

stakeholders are often grouped depending on the financial

value to the organization (Tullberg, 2013). For this reason,

the scientists treat shareholders and employees as key

stakeholders of the organization. The insights in this area

enable to state that the scientists do not consider a context

in which the organization acts. It is important to consider

the sector in which the organization operates, what the

product is and who the final consumer is. For instance, the

shareholders may actually be considered as the most

important stakeholders in the financial sector, while the

consumers take up a leading position in the service sector.

Paradoxically, in the scientific literature the consumers are

treated as less important to the organization.

(Parent & Deephouse, 2007) conducted a research in

France, and (Boesso & Kumar, 2009) conducted a research

in Italy and America to identify the criteria of a

stakeholder priority in public organizations. These

researchers have found that the main criterion is power.

The second criterion is the legitimacy of stakeholders who

have a privilege to regulate the performance of the

organization. Meanwhile, the urgency of stakeholders was

not very important. However (Vazques-Brust et al., 2010)

research in Argentina and (Siriwardhane & Taylor, 2014)

research in Australia revealed that the urgency and the

legitimacy of stakeholders are more important criteria than

the stakeholder power. If we eliminate the influence of the

cross-cultural differences, it can be concluded that in

business the stakeholders are often divided into the

primary and the secondary according to their importance to

the organization. However, the scientists acting on

business interests got different results, comparing with the

situation 5–7 years ago. Nowadays the organizations give

the priority to stakeholders, previously considered as the

secondary. Generally and particularly, the organizations

reduce the gap between different stakeholders according to

their importance to the organization.

To summarize the stakeholder grouping and its

importance, it should be first emphasized that the

stakeholder grouping is one of the most important and

decisive factors, which determines not only the performance

of organization, but also its reputation. Although scientists propose the different methods of stakeholder grouping, it is

true to say that all of them are in some sense based on a

stakeholder grouping according to stakeholder importance to

organization. The stakeholders are mostly divided into the

primary and the secondary groups. However, the scientists

acting on business interests observed that the stakeholders

that are attributed to a particular group by the practicians

differ from those stakeholders that are attributed to the same

group by the theorists. The situation in business shows that

the primary stakeholders begin to take the secondary

position according to their importance to the organization.

This regrouping demonstrates a decreasing gap between the

Inzinerine Ekonomika-Engineering Economics, 2015, 26(1), 75–83

- 81 -

importance of the primary and the secondary stakeholders to

the organization.

Conclusions

The stakeholder concept is widely discussed in the

scientific literature, however, many scientists support the

definition of (Freeman, 1984). This definition expresses

the relation between the organization and stakeholders,

which is based on the addiction of power. Despite the mutual influence between the organization and

stakeholders, it is proposed that stakeholders may have a

greater impact on the organization because of a major

power. With regard to this scientific viewpoint, it is stated

that stakeholders are important for the organization

because of the necessary resources and the impact on

corporate reputation. The stakeholders are important to the organization for

one main source - resources which are necessary for

organization. Despite involving themselves in the activities of the organization, stakeholders can not only control the

stability of organization, but also to form corporate

reputation - directly through decisions, boycotting, gentle revenge, income - taxes, restriction of the resource. The

insights in this area enable to state that the stakeholders

have the impact on corporate reputation on the ground of the

interrelationship between the organization and stakeholders.

However, the importance of interrelationship between the

organization and stakeholders could not be treated

unambiguously with regard to all stakeholders. In summary,

it could be stated that some stakeholders, such as

shareholders, customers, employees, non-governmental

organizations, the media, lobbyists, arise a higher

reputational risk than remaining. Nevertheless, scientists do

not define which stakeholders should be considered as the

most or the least important. Stakeholder grouping is

considered to be a way to reveal their importance to the

organization.

There is no unified construct, defining stakeholders,

common to all organizations. It could be stated that there are predominantly four leading stakeholder groups – the

shareholders, employees, suppliers and customers. It was

found that stakeholders can be divided into internal and

external; primary and secondary; normative, functional,

diffused and customers; regulatory, organizational,

community and media; groups in order of power and

interest. The analysis of the scientific literature enabled us to highlight a new stakeholder group, which we call a

shadow group due to its illegal impact on the organization

or industry. The analysis of stakeholder grouping initiated

that while grouping stakeholders in accordance with their

importance to the organization, it is worth to divide them

into primary and secondary. Allocating the stakeholders to

the primary and secondary groups unconsciously leads to

the conclusion that primary stakeholders take the first, i.e.

the most important place with regard to secondary

stakeholders.

The analysis of stakeholder grouping has revealed

another important question – it was observed that the

scientists, acting on business interests, criticize the

aforementioned stakeholder grouping. They propose that

even these stakeholders who find themselves in the same

stakeholder group have unequal importance. The results of

many studies have raised some doubts in attributing the

stakeholders to the particular groups. The scientists acting

on business interests got different results comparing with

the situation 5–7 years ago. Nowadays the organizations

give the priority to stakeholders, previously considered as

the secondary. Consequently, because of these two

different mainstream approaches of the theorists and the

scientists, acting on business interests, it remains unclear

what stakeholders should be attributed to which groups

considering their importance to organization.

Future Research

There are two different mainstream approaches of the

theorists and the scientists, acting on business interests

found in this study. The theorists offer to divide

stakeholders into primary and secondary considering their

importance to organization. The scientists acting on

business interests prove that the priority of the primary and

the secondary stakeholders to the organization changes

recognizably. The main issue is to find out which approach

to the stakeholder grouping is fundamental. Future

research could shed further light on the issues discussed in

this paper, using not only a method of a quantitative

empirical research, but also a qualitative research to detect

why the stakeholder grouping in business differs from that

in theory.

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The article has been reviewed.

Received in April, 2014; accepted in January, 2015.

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Mandatory Assignment Resources/The race to implement co-creation of value with stakeholders - five approaches to competitive advantage.pdf

The race to implement co-creation of value with stakeholders: five approaches to competitive advantage

Francis J. Gouillart

T en years ago, C.K. Prahalad and Venkat Ramaswamy initiated the co-creation of

value movement as a new philosophy of business in their ground-breaking book The

Future of Competition. Their core idea was that companies could produce goods,

services and experiences of unique value by involving customers and other stakeholders in

a process of continuous innovation and learning, now a well-accepted practice. Now, taking

this concept another leap forward could transform traditional business thinking. Leading

theorists are predicting that in the foreseeable future the co-creation model will become a

primary source of the firm’s competitive advantage. Instead of trying to encapsulate and

defend unique capabilities within their walls, firms will compete by opening up their value

chain of traditional functions and processes, from R&D through marketing and selling,

offering docking points that attract a dynamic ecosystem of customers and other

stakeholders. Having invited customers and other stakeholders to participate, corporations

now need to learn how to be outstanding networkers.

Anticipating how co-creation practice will evolve, theorists assume that firms increasingly

will compete on the basis of how much value their network produces. This opening up of the

traditional value chain to stakeholders could precipitate a race to co-creation, as every firm

tries to connect each function and process to the relevant ecosystem and attract the best

external players as partners. In this vision of the future, the company that proves most able

both at linking its key functions or processes to a growing and energized ecosystem of

players and at managing the continuous innovation opportunities that the ecosystem affords

will win the competitive game.

If this vision of a value chain evolution and its reconfiguration as a network of stakeholder

platforms that provide constant stimulation and insights is correct, the question then

becomes: how does a firm do that in practice? With which function or activity should it start?

What is the process of engagement the organization should use? How does it measure its

progress in this race to co-creation?

There are some preliminary answers to these questions. At this point in time, Prahalad’s and

Ramaswamy’s vision of a new competitive strategy has produced a sizable implementation

track record. After leading more than thirty co-creation projects, and observing more than

200 others, I can offer a view on why co-creation with stakeholders is becoming a

cornerstone of the creative economy and suggest how the most popular approaches

contribute to helping firms gain a competitive advantage through connections that enable

continuous innovation.

The race to co-creation

Let’s start by listing what all co-creation programs have in common. To tackle large, complex

problems, co-creation, in its most generic form, requires adopting five processes that each

represent a potential source of competitive advantage; an approach can utilize each

PAGE 2 j STRATEGY & LEADERSHIP j VOL. 42 NO. 1 2014, pp. 2-8, Q Emerald Group Publishing Limited, ISSN 1087-8572 DOI 10.1108/SL-09-2013-0071

Francis J. Gouillart is

President of the Experience

Co-Creation Partnership

(fgouillart@eccpartnership.

com) located in Concord,

MA and the co-author of the

book The Power of

Co-Creation, with Venkat

Ramaswamy (Free Press,

2010) and the Harvard

Business Review article

‘‘Community-Powered

Problem-Solving,’’ with

Doug Billings (2013).

process from very little to a lot. A co-creation strategy will be most powerful when all five

processes are used in combination:

B Community: Does the approach involve a process of engagement that leads to the

building of a large, diverse community of people inside and outside the firm?

B Platform: Does the approach provide a physical or virtual open discussion platform to this

community, leading to the generation of new ideas, valuable designs of physical objects,

places, processes or the development of analytically-based insights?

B Interactions: Does the approach enable the development of a new set of stakeholder

interactions, which are broad, frequent and cost-effective?

B Experience-based: Does the approach result in an individualized experience for all

stakeholders?

B Economic value: Does the approach allow all the entities involved to create significant

new economic value as a network?

These five processes are employed in a variety of ways and to various degrees in all

initiatives designed to promote stakeholder participation. Some company experiments

started out as innovation projects that invited employees from functions other than just R&D

to share their ideas. Adding customers and outsiders to the team was once seen as a

revolutionary step. Other firms started their co-creation experiments by making common

cause with customers through online platforms. By analyzing how various corporate

examples use these processes as a source of competitive advantage, managers can learn

the strengths or weaknesses of various forms of co-creation and make judgments about

where they are best applied.

Five archetypes of co-creation

Leading corporations have experimented with many approaches to involving stakeholders

in the process of product or service innovation and learning. While each brand of

implementation is unique to the firm that practices it, I have elected to focus on five

archetypes[1].

1. Community or social marketing – also called social media marketing, user communities in

B2B.

2. Design thinking – also called user-centric design, experience design, open design,

user-led innovation.

3. Co-creative transformation – using co-creation as the process of change.

4. Crowd-sourcing – also called mass collaboration or open source.

5. Open innovation – also called crowd-sourcing R&D or product development.

Included with each of the following methodology descriptions is a brief case of an

implementation project that demonstrates the approach.

1. Community or social marketing – also called social media marketing, user communities

in B2B

One of the earliest forms of co-creation to take hold in the market is community marketing,

also called social marketing, or social media marketing.

‘‘ Leading theorists are predicting that in the foreseeable future the co-creation model will become a primary source of the firm’s competitive advantage. ’’

VOL. 42 NO. 1 2014 jSTRATEGY & LEADERSHIPj PAGE 3

This model, most commonly used by fast-moving consumer goods businesses, involves the

opening up of the marketing, sales and service part of the value chain. It was born of the

realization that unlike in traditional sales and marketing, the organization does not have to

personally sell or market to each individual prospect, but can rely on existing customers to

do the job at lesser cost and with greater credibility. Some of the best known examples of

community marketing in the B2C area include Starbucks’ mystarbucksidea.com or Dell’s

Ideastorm. In the B2B area, Salesforce.com’s user community or Microsoft’s MVP service

community are two prominent examples.

In the next few years, the challenge of community marketing will be to open up the brand

itself to co-creation. Community marketing platforms often originate with companies with a

strong history of staging the customer experience and controlling the brand, making it

culturally hard for them to let go of their company-centric instincts. Their other challenge will

be to expand the community beyond customers and form a large ecosystem of

stakeholders, allowing the breadth of experience and range of interactions to continue to

expand. Nike is now doing that with its technology incubator and Starbucks is another good

example of this emerging trend, as it increasingly links its customers, baristas and coffee

producers in various parts of the world, particularly on the issue of sustainability.

2. Design thinking – also called user-centric design, experience design, open design,

user-led design

Design thinking, an approach to designing physical objects and processes that relies on a

deep understanding by the designer of the context in which the product or process will be

used, allows the designer to connect emotionally with targeted customers and engage them

in a highly visual, iterative design process that utilizes a set of analytical design tools and

techniques.

Companies that use design thinking include GE Healthcare, Procter & Gamble, Philips

Electronics, Hewlett Packard, Apple, the Japanese bicycle components maker Shimano,

Fidelity, Kaiser Permanente and the Mayo Clinic in healthcare.

Design thinking does well on experience, encouraging a deep, anthropological

understanding of everybody’s context and appealing to the designer’s sense of empathy.

The value it creates comes from the quality of experience generated for customers and the

loyalty and repeat business it engenders.

However, two limitations to design thinking are apparent. First, the cost of each effort is high;

because design thinking requires a deep exploration of customer experience, it makes it

difficult for many organizations to scale the approach beyond isolated projects. Second,

success depends heavily on the creativity and empathy of the designer.

The Nike pathway

Nike originally saw its co-creation platform Nike þ as a means to encourage people to run more.

The Nike þ site features a rich dialog between runners, and increasingly other sports communities

on a vast array of sport-related issues. The system enables the automatic collection of running data

by each customer through the phone’s GPS tracker. This data can be analyzed individually, and

benchmarked or exchanged with the customer’s chosen social network. This produces a valuable

experience for runners, and also information for coaches, trainers and event organizers. Nike has

been able to increase its market share significantly at the expense of Adidas, a 14 percent gain over

the last seven years, and has reduced its conventional marketing expenses by more than 50

percent.

Community marketing is most successful when it exploits an opportunity to mobilize a large group of

highly motivated people around data. Marketing communities that rely only on qualitative

exchanges can be successful – mystarbucksidea.com and Dell’s Ideastorm are good examples.

But the real source of competitive advantage lies in the accumulation of data and the generation of

unique insights for individual customers and their community, and ultimately for the company that

provides the platform. A qualitative platform is a good place to start, but long-term success

inevitably requires layering a data-sharing platform on top of the first generation platform.

PAGE 4jSTRATEGY & LEADERSHIPj VOL. 42 NO. 1 2014

3. Co-creative transformation – using co-creation as the process of change

Organizational transformation, also called process transformation, is a well-established

discipline of business. Co-creation offers a new paradigm of organizational or process

transformation, by engaging employees jointly with external stakeholders as a group in

designing the new model of the business. In this approach, the role of customers and other

external stakeholders extends beyond defining the product, service or experience they wish

to obtain and instead has them become full-fledged actors in the design of the company’s

processes.

There are a growing number of organizational transformation examples through co-creation.

They include Becton Dickinson’s transformation of its syringe business through co-creation

with hospitals, the UK’s unemployment office Jobs Centre Plus building local communities

across people seeking employment and local employers, or Microsoft Consumer

transforming its service arm through co-creation with the entire PC chain. The French Post

Office (La Poste), five years ago, initiated a highly acclaimed transformation of its 12,000

main post offices through co-creation.

While most traditional change approaches run into organizational fatigue because of their

internal and top-down nature, co-creative transformation mixing bottom-up and outside-in

dynamics – customers play a key role in sustaining the approach – produces the infectious

enthusiasm and momentum that motivates middle and upper management to invest the

necessary resources for change.

In the next few years, co-creative transformation will face a double challenge: it will have to

learn to incorporate collaborative design tools, and to build a data collection infrastructure

that helps generate further insights besides the early wins of workshop-based engagement.

Once it masters those two challenges, we predict that co-creative transformation will attract

The Mayo Clinic case

In the early 2000s, the Mayo Clinic challenged itself to transform health care delivery. It engaged the

vast community of its own healthcare workers, from doctors, nurses and service personnel, to

patients and their family, the health insurance companies, and the larger community where the

Clinic operates. It initially set up a skunk works lab called Sparc, where doctors and designers could

jointly devise new interactions between the clinic and its patients. Today, this initial platform has

grown into the Center for Innovation, a design-oriented center of excellence with 32 full-time

employees dedicated to redesigning interactions along the healthcare value chain and

transforming customer/clinician experiences, while reducing the cost of healthcare.

Using design thinking, the Mayo Clinic has redesigned physical spaces – for example, exam rooms

or waiting areas – as well as processes and has implemented new technologies. The Center for

Innovation also utilizes many data-driven platforms. In fact, the original premise of the Sparc lab

was to apply the rigor of clinical trials to the design of the patients and healthcare workers

experience.

Better mail service

La Poste defined a broad, highly engaging problem at the outset: how should we operate our local

post offices to better serve local communities? It mobilized most of its 50,000 teller employees and a

large number of its local customers in the redefinition of the operating model of each post office,

often also engaging elected officials or community leaders in the process. These communities have

generated a lot of new ideas – from how to allocate tellers to various types of customers, to local

opening hours – through qualitative platforms of various kinds. These initiatives range from

employee-conducted market research and simple questionnaire-led interviews in the post offices

themselves to conducting half-day co-creation workshops with customers and members of the

community. On the value front, La Poste has been able to expand its opening hours by more than 30

percent while reducing its total manpower during the period, and generating a more than 30

percent increase in customer satisfaction and new growth in its package and banking businesses.

VOL. 42 NO. 1 2014 jSTRATEGY & LEADERSHIPj PAGE 5

the community of process, quality and reengineering change agents who, because they

tend to be analytically-minded, have so far largely sat out the co-creation revolution.

4. Crowd-sourcing – also called mass collaboration or open source

In crowd-sourcing, a large number of people come together in person or virtually to solve a

problem and build common content on a platform, with the expectation that their collective

output will be shared freely between them and possibly a larger community.

Examples of crowd-sourcing include Wikipedia in publishing, Linux for open-source

software, and Kickstarter or Indiegogo for crowd-funding. Businesses such as YouTube or

Facebook also utilize many aspects of a crowd-sourcing approach, although their economic

model is based on a more traditional advertising push strategy. Crowdsourcing can be used

to address just about any type of problem, including very broad ones.

The main shortcoming of crowd-sourcing from a business standpoint is that it operates in an

egalitarian, typically nonprofit universe which prevents companies from making money from

it. This makes crowd-sourcing a very apt approach for social issues, but less applicable to

the solving of business problems by companies trying to earn a rate of return on their

investment. This weakens the ability of crowd-funding models to sustain the model over time

(users can become tired of incessant calls for donations). As a result, companies have

tended to craft non co-creative models on top of their crowd-sourcing strategies, producing

mixed models such as YouTube and Facebook who crowd-source most of their content, but

generate their revenues through traditional company-centric advertising. This mixed

strategy solves the economic model problem, but produces an uneasy experience for users

who have to accept this compromise of true co-creation and traditional advertising push,

therefore creating an unstable equilibrium for the model, as YouTube and Facebook have

experienced at various stages of their life.

In the next few years, we expect crowd-funding to continue growing in addressing social

issues of increasing scope, and mobilizing global communities in the solving of large

humanitarian issues. The jury is very much out on whether crowd-sourcing will develop a

stable model that profit-minded businesses can use.

5. Open innovation – also called crowd-sourcing R&D or product development

Open innovation has enjoyed great popularity, fueled by the market power of

venture-backed open innovation platform developers like Innocentive and highly touted

stories of corporate success with Procter & Gamble’s Connect & Develop, GE’s

Eco-Imagination, and similar initiatives at Kraft, Weyerhaeuser or Philips.

Advocates of open innovation approaches recommend always starting with a highly focused

problem formulation. This constitutes both a strength, because it is easier to answer

technical problems when they are framed narrowly, and a weakness, in that there is typically

no large community able to engage on such narrowly defined problems. As a result, the

community engagement is typically limited to a small number of people who interact in

one-off fashion as ‘‘problem solvers’’ with the ‘‘problem seekers,’’ but there is no community

co-creation per se.

The Achilles’ heel of open innovation lies in the fact that it often fails to engage internal R&D

people effectively. External contributors enjoy open innovation platforms, because it allows

them to generate additional income or gain recognition for themselves, but too often,

engineers inside the firm are barely consulted on the use of open innovation approaches.

The world’s encyclopedia

Wikipedia has demonstrated it can solve the challenge of publishing a constantly up-to-date global

dictionary and encyclopedia. The community reached by Wikipedia is impressive in its global reach

of both contributors and readers. The interactions it allows are limited to search, reading and

writing, but produce a good experience for both readers who want up-to-date, thorough

information, and writers, who want to ‘‘own’’ particular entries they are passionate about.

PAGE 6jSTRATEGY & LEADERSHIPj VOL. 42 NO. 1 2014

P&G has claimed good results in improving its R&D throughput and reducing its cost, but

there have been few other documented claims of economic success for open innovation

projects.

The challenge for open innovation in the next few years will be to escape the narrowness of

its problem definition, to better associate internal R&D people in the problem definition and

make them an integral part of the co-creative community, and in expanding the community of

problem-solvers beyond product development experts. As was true for mass customization,

this will require engineering-dominated firms to develop the humility necessary to accept

engaging with external, layman contributors, a formidable cultural challenge for many of

them.

What path should leaders take?

While there has been much confusion about the similarities and differences between all the

methodologies cited in this article my goal is to show what they have in common, and to what

degree they contribute to creating competitive advantage.

All of them do offer a practical starting point, and probably each approach will play a

significant role in the further development of co-creation. Each already does some things

well, and each has room to evolve as a means of generating value with stakeholders. So the

adoption of any of these methods is a step in the right direction. What leaders can do now is

encourage more experimentation on the path to developing a co-creation ecosystem.

Toward ecosystem co-creation

Many observers believe that the pressure of continuous innovation is challenging firms to

further open up their traditional functions and processes and engage external stakeholders

in the co-creation of new ecosystems where each will compete as part of a network, rather

than as traditional stand-alone capitalistic entities.

So which approach is most likely to lead to ecosystem co-creation? Unfortunately, none of

the five approaches as currently practiced offers a perfect transformational path to

co-creation for large, complex problems and opportunities. The ideal transformation plan

would:

B Start by addressing very broad challenges, typically at the intersection of a business

problem and a societal problem. Its formulation will have a compelling emotional appeal,

but will also be defined as an analytically-solvable problem.

P&G’s idea network

Procter & Gamble’s Connect & Develop (C&D) platform is good at generating useful ideas – P&G

has signed 2,000 contracts over the last 10 years – but it has minimal capabilities in terms of

physical design of products and is not used to generate analytical data beyond the ones

contributed by both sides at the outset. Moreover, the platform is not designed to stimulate or

capture insights and at present it only acts as match-maker. Because the goal of the platform is to

engender a subsequent co-creative live dialog between interested parties, the interactions enabled

by the platform are narrow and not particularly generative.

‘‘ Opening up the traditional value chain to stakeholders could precipitate a race to co-creation, as every firm tries to connect each function and process to the relevant ecosystem and attract the best external players as partners. ’’

VOL. 42 NO. 1 2014 jSTRATEGY & LEADERSHIPj PAGE 7

B Offer the potential to engage a vast global community of people with extremely different

skills levels, from simple passionate customers to highly sophisticated experts, and will

allow the gradual expansion of that community to an ever-growing set of stakeholders.

B Generate a rich set of ideas and help the community see how these ideas are valued and

used.

B Provide user-friendly tools that allow laypeople users to participate in the actual design of

physical objects and places and exchange concepts with professional designers who

value their input.

B Place data in the hand of users and allow them to use that data to fashion a unique

experience for themselves in the context of their social community, while allowing the firm

to continuously develop new insights from the mining of that data. The data set will be

aggregated across the community, and the insights resulting from the new data set will

also be co-created across members of the community.

B Gradually increase the scope of interactions allowed by the platform as new community

members join in, allowing the designs resulting from the platform to become less and less

product-or service-oriented, turning themselves more and more into co-creative

platforms.

As implementation proceeds, the breadth of experience of each stakeholder should become

larger and larger, and the empathetic connections between these stakeholders more

intense. The network value being created will increase exponentially as more and more

stakeholders join the network. The economics of the network, as well as of each firm in the

network, will exhibit exponential economics or ‘‘increasing returns.’’

During the next ten years a key challenge for leaders will be managing this journey.

Note

1. From the set of co-creation processes chosen for analysis I excluded mass customization and

personalization because it is applicable to fewer corporations than the other models and

agile/scrum because it requires mastery of a project process not widely used except by software

firms. For more information on agile as a co-creation process see Stephen Denning (2012), ‘‘How

agile can transform manufacturing: the case of Wikispeed,’’ Strategy & Leadership, Vol. 40 No. 6,

pp. 22-28.

Corresponding author

Francis J. Gouillart can be contacted at: fgouillart@eccpartnership.com

‘‘ Community marketing is most successful when it exploits an opportunity to mobilize a large group of highly motivated people around data. ’’

PAGE 8jSTRATEGY & LEADERSHIPj VOL. 42 NO. 1 2014

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