Quality work - week 6
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.
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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.
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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
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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: [email protected], [email protected]
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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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: [email protected]
‘‘ 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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