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                   Deriving Business Value from Social Networks

                - Dr. Jai Ganesh, Gopakumar



                How can some people sway public opinion, where others fail? What’s the secret behind personal influence? How important
                are connections? Research around networks sheds light on some of these questions, which have become all-important in
                the age of social networking.
                In 1929, in a short story called “Chains”, Hungarian writer Frigyes Karinthy introduced the idea – now famous as the Six
                Degrees of Separation – that it takes no more than five intermediaries to connect any two people in the world to each
                other. Dare we say that online social networking has compressed that chain further, and also expanded the influence of
                connections to unimagined “Occupy Wall Street” and “Arab Spring” proportions?
                Small wonder then, that the arcane science of social network research has sparked interest not only in academicians, but
                also among industry think tanks and business organizations, which realize that there is immense value to be derived from
                these networks.




           www.infosys.com
Application of Network Ideas
                                            The exchanges taking place in social networking environments go beyond
                                            providing direct value to participants. In fact, businesses can wield approaches
                                            based on social network analysis as powerful levers, at different levels of the
                                            organization, to serve different goals. Let’s elaborate that by taking the example
                                            of the banking industry.
  OVERVIEW
                                            A bank can study social opinion to gather early insight into the perception of
                                            its brands, products and services. This could be particularly valuable before a
                                            new product launch, should user feedback highlight certain issues that the
                                            bank may have overlooked. A leading Canadian Bank introduced a new mobile
  Essentially, network studies seek to      banking app to employees, who not only tested the product but also identified
  identify the nature and structure         other opportunities. Thanks to this feedback, the Bank was able to deliver the
  of connections among various              ideal app to customers.
  individuals or entities (organizations,
                                            That being said, how can organizations deconstruct the incessant broadcasting
  websites, customer records and so
                                            of customer opinion over social media into meaningful, actionable information?
  on), called “nodes” and their impact
                                            The answer lies in mining the collective intelligence of the community, which
  on different events and decisions.
                                            is latent in the content of discussion threads, chat room conversations, blogs,
  Accordingly, networks can significantly
                                            ratings et al.
  influence an organization’s ability to
  achieve business goals, especially in     Such analysis can identify dominant sentiments, views and experiences discussed
  present times when the chatter on         in social media that are important from an organization’s strategic perspective.
  social media, mobile and other online     It can also pinpoint key forums, websites and maybe even individuals exerting
  channels is creating an overload of       maximum influence over shaping the image of the firm, its products and services.
  network related information – 2 billion   The last one is extremely valuable information, which flies below the radar of
  exabytes annually, at last count!         most banking organizations, which typically stratify the importance of their
                                            customers by the size of their bank account. Just to cite an example – a global
  Used right, this information is a
                                            bank executive confessed that a particular individual, who qualified as a “low
  goldmine for businesses, which can
                                            service” customer, actually had 100,000 followers on Twitter!
  formulate focused actions targeted to
  the needs of different constituencies,    Market sentiment analysis techniques reveal how customers feel about an
  such as markets, customers and            enterprise, a brand, a product or service. The results of this analysis can be
  employees. There’s enough evidence        enhanced by combining them with the content of customers’ posts, which in
  from research studies to show that        turn would enable banking organizations to respond better to the sentiments
  network factors strongly influence        expressed by the key influencers in the network.
  brand image, adoption of new              The next logical step for banks is to persuade key influencers and early adopters
  products and services, pricing and        to exert “desired” influences over others within their network, such as spreading
  promotion, employee performance,          excitement about a new product, or expressing confidence in a new service. For
  innovation, and the ability of            instance, they could ask a set of influential customers to try out a new product
  organizations to change.                  like a digital wallet and talk about various aspects of the experience, such as
                                            usability and security, to a wider group. By identifying the best “seeding points”
                                            that is, well-connected people at the hub of social networks who will latch on
                                            to a product and promote it widely amongst the people they know, network
                                            analysis can improve the efficacy of communication campaigns.

                                            So far, industries other than banking have cracked the code. A global automotive
                                            company famously gave out 100 cars of a new model before its official launch to
                                            social media enthusiasts to try out for 6 months. In return, all that these people
                                            had to do was talk about their experience in social media, which the company
                                            put up on its website without making any changes! The opening sales were
                                            spectacular to say the least.




2 | Infosys
There’s another very important reason why organizations must                 “club”, it has a big chance of succeeding with the rest. In fact, this
monitor the activities of the key influencers among their customers,         is the driving principle behind the wealth management business.
and that is to mitigate churn. Social influence cuts both ways; so
                                                                             Social networking can play a big role in improving organizational
even as it fosters positive behavior, it can do exactly the opposite
                                                                             effectiveness when the connections are between the right people.
as well. It has been observed that when an influencer leaves
                                                                             The leaders in every organization try hard to organize their people in
his banking service provider, he takes others with him or stops
                                                                             the best way to “get the job done”. Network analysis often provides
potential customers from coming on board. Banks must guard
                                                                             powerful and unique insights into whether the actual flow of work
against allowing something like this to assume viral proportions.
                                                                             and communication between members is aligned with the goals of
Once again, by using social network data (including centrality,              the group. In other words, it enables the organization to diagnose
degree of centrality, number of friends and followers) to enrich             work efficiency.
models, which predict churn, banks can take evasive action.
                                                                             Network analysis also reveals patterns of formal and informal
The network approach focuses on the patterns of relationships                connections among members of specific functions, divisions or
among individuals. One of its key findings is that like-minded               business groups, and their impact on business goals. Studies have
individuals are more likely to stay connected with each other, and           consistently shown that well managed network connectivity is
are more likely to share interests, ideas, norms and even behaviors.         critical to performance, learning and innovation.
Therefore, if a bank manages to get through to one member of this




Last but not least – and certainly not in the banking context! – network analysis can be applied to customer risk modeling. Enhancing existing risk
models with customers’ social networking information could give banks an inkling about possible credit risks or fraudsters. After all wouldn’t they
like to know if a potential customer has a number of friends who are proud to be habitual defaulters?




                                         http://socialmediatoday.com/emoderation/546814/how-retail-and-investment-
                                         banks-are-using-social-media-case-studies
                Reference




                                         http://hbr.org/2011/07/whats-your-social-media-strategy/ar/1

                                         http://practicalsocialmedia.com/general/ford-fiesta-a-successful-social-media-
                                         marketing-example/




                                                                                                                                        Infosys | 3
About the Authors
                                         Dr. Jai Ganesh
                                         Principal Research Scientist at Centre of Innovation for Tomorrow’s Enterprise, Infosys Labs
                                         Research and innovation leader with expertise in intellectual property creation, thought leadership, technology
                                         strategy and new product development. Jai obtained his PhD in management from Indian Institute of Management
                                         Bangalore (IIMB) and also hold an MBA. Jai is a recipient of the Chevening Rolls-Royce Science and Innovation
                                         Leadership scholarship at the University of Oxford. His research focuses on Pervasive Computing, Adaptive enterprises,
                                         Hypercompetitive businesses, Social Network Analysis, Social Media, Social Movements, Web Accessibility & Usability,
                                         Augmented Reality and Immersive Interaction Technologies.
                                         Jai has also published in a number of leading peer reviewed journals and conferences and serve as a reviewer for a
                                         number of peer-reviewed journals and conferences. He conceptualized and led the development of iProwe which is
                                         the first patented product for Web Accessibility & Usability Assessment and Remediation.


                                         Gopakumar
                                         Senior Research Scientist at Centre of Innovation for Tomorrow’s Enterprise, Infosys Labs
                                         Gopakumar is a senior research scientist at Centre of Innovation for Tomorrow’s Enterprise (CITE) in Infosys Labs. He
                                         has over 10 years of experience in leading important talent and organization development programs at leading firms.
                                         At Centre for Innovation, he is leading a series of research projects that applies network perspectives to improve
                                         organizational effectiveness and harness social media intelligence. He has presented in top international conferences
                                         such as Academy of Management (AoM) annual meeting, Academy of Human Resource Development (AHRD) annual
                                         conference, Strategic Management Society (SMS) conference, and International Network for Social Network Analysis
                                         (INSNA) Sunbelt conference




About Infosys
Many of the world's most successful organizations rely on Infosys to
deliver measurable business value. Infosys provides business consulting,
technology, engineering and outsourcing services to help clients in over
30 countries build tomorrow's enterprise.

For more information, contact askus@infosys.com                                                                                                                                       www.infosys.com
© 2012 Infosys Limited, Bangalore, India. Infosys believes the information in this publication is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges
the proprietary rights of the trademarks and product names of other companies mentioned in this document.

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Deriving Business Value from Social Networks

  • 1. Insights Deriving Business Value from Social Networks - Dr. Jai Ganesh, Gopakumar How can some people sway public opinion, where others fail? What’s the secret behind personal influence? How important are connections? Research around networks sheds light on some of these questions, which have become all-important in the age of social networking. In 1929, in a short story called “Chains”, Hungarian writer Frigyes Karinthy introduced the idea – now famous as the Six Degrees of Separation – that it takes no more than five intermediaries to connect any two people in the world to each other. Dare we say that online social networking has compressed that chain further, and also expanded the influence of connections to unimagined “Occupy Wall Street” and “Arab Spring” proportions? Small wonder then, that the arcane science of social network research has sparked interest not only in academicians, but also among industry think tanks and business organizations, which realize that there is immense value to be derived from these networks. www.infosys.com
  • 2. Application of Network Ideas The exchanges taking place in social networking environments go beyond providing direct value to participants. In fact, businesses can wield approaches based on social network analysis as powerful levers, at different levels of the organization, to serve different goals. Let’s elaborate that by taking the example of the banking industry. OVERVIEW A bank can study social opinion to gather early insight into the perception of its brands, products and services. This could be particularly valuable before a new product launch, should user feedback highlight certain issues that the bank may have overlooked. A leading Canadian Bank introduced a new mobile Essentially, network studies seek to banking app to employees, who not only tested the product but also identified identify the nature and structure other opportunities. Thanks to this feedback, the Bank was able to deliver the of connections among various ideal app to customers. individuals or entities (organizations, That being said, how can organizations deconstruct the incessant broadcasting websites, customer records and so of customer opinion over social media into meaningful, actionable information? on), called “nodes” and their impact The answer lies in mining the collective intelligence of the community, which on different events and decisions. is latent in the content of discussion threads, chat room conversations, blogs, Accordingly, networks can significantly ratings et al. influence an organization’s ability to achieve business goals, especially in Such analysis can identify dominant sentiments, views and experiences discussed present times when the chatter on in social media that are important from an organization’s strategic perspective. social media, mobile and other online It can also pinpoint key forums, websites and maybe even individuals exerting channels is creating an overload of maximum influence over shaping the image of the firm, its products and services. network related information – 2 billion The last one is extremely valuable information, which flies below the radar of exabytes annually, at last count! most banking organizations, which typically stratify the importance of their customers by the size of their bank account. Just to cite an example – a global Used right, this information is a bank executive confessed that a particular individual, who qualified as a “low goldmine for businesses, which can service” customer, actually had 100,000 followers on Twitter! formulate focused actions targeted to the needs of different constituencies, Market sentiment analysis techniques reveal how customers feel about an such as markets, customers and enterprise, a brand, a product or service. The results of this analysis can be employees. There’s enough evidence enhanced by combining them with the content of customers’ posts, which in from research studies to show that turn would enable banking organizations to respond better to the sentiments network factors strongly influence expressed by the key influencers in the network. brand image, adoption of new The next logical step for banks is to persuade key influencers and early adopters products and services, pricing and to exert “desired” influences over others within their network, such as spreading promotion, employee performance, excitement about a new product, or expressing confidence in a new service. For innovation, and the ability of instance, they could ask a set of influential customers to try out a new product organizations to change. like a digital wallet and talk about various aspects of the experience, such as usability and security, to a wider group. By identifying the best “seeding points” that is, well-connected people at the hub of social networks who will latch on to a product and promote it widely amongst the people they know, network analysis can improve the efficacy of communication campaigns. So far, industries other than banking have cracked the code. A global automotive company famously gave out 100 cars of a new model before its official launch to social media enthusiasts to try out for 6 months. In return, all that these people had to do was talk about their experience in social media, which the company put up on its website without making any changes! The opening sales were spectacular to say the least. 2 | Infosys
  • 3. There’s another very important reason why organizations must “club”, it has a big chance of succeeding with the rest. In fact, this monitor the activities of the key influencers among their customers, is the driving principle behind the wealth management business. and that is to mitigate churn. Social influence cuts both ways; so Social networking can play a big role in improving organizational even as it fosters positive behavior, it can do exactly the opposite effectiveness when the connections are between the right people. as well. It has been observed that when an influencer leaves The leaders in every organization try hard to organize their people in his banking service provider, he takes others with him or stops the best way to “get the job done”. Network analysis often provides potential customers from coming on board. Banks must guard powerful and unique insights into whether the actual flow of work against allowing something like this to assume viral proportions. and communication between members is aligned with the goals of Once again, by using social network data (including centrality, the group. In other words, it enables the organization to diagnose degree of centrality, number of friends and followers) to enrich work efficiency. models, which predict churn, banks can take evasive action. Network analysis also reveals patterns of formal and informal The network approach focuses on the patterns of relationships connections among members of specific functions, divisions or among individuals. One of its key findings is that like-minded business groups, and their impact on business goals. Studies have individuals are more likely to stay connected with each other, and consistently shown that well managed network connectivity is are more likely to share interests, ideas, norms and even behaviors. critical to performance, learning and innovation. Therefore, if a bank manages to get through to one member of this Last but not least – and certainly not in the banking context! – network analysis can be applied to customer risk modeling. Enhancing existing risk models with customers’ social networking information could give banks an inkling about possible credit risks or fraudsters. After all wouldn’t they like to know if a potential customer has a number of friends who are proud to be habitual defaulters? http://socialmediatoday.com/emoderation/546814/how-retail-and-investment- banks-are-using-social-media-case-studies Reference http://hbr.org/2011/07/whats-your-social-media-strategy/ar/1 http://practicalsocialmedia.com/general/ford-fiesta-a-successful-social-media- marketing-example/ Infosys | 3
  • 4. About the Authors Dr. Jai Ganesh Principal Research Scientist at Centre of Innovation for Tomorrow’s Enterprise, Infosys Labs Research and innovation leader with expertise in intellectual property creation, thought leadership, technology strategy and new product development. Jai obtained his PhD in management from Indian Institute of Management Bangalore (IIMB) and also hold an MBA. Jai is a recipient of the Chevening Rolls-Royce Science and Innovation Leadership scholarship at the University of Oxford. His research focuses on Pervasive Computing, Adaptive enterprises, Hypercompetitive businesses, Social Network Analysis, Social Media, Social Movements, Web Accessibility & Usability, Augmented Reality and Immersive Interaction Technologies. Jai has also published in a number of leading peer reviewed journals and conferences and serve as a reviewer for a number of peer-reviewed journals and conferences. He conceptualized and led the development of iProwe which is the first patented product for Web Accessibility & Usability Assessment and Remediation. Gopakumar Senior Research Scientist at Centre of Innovation for Tomorrow’s Enterprise, Infosys Labs Gopakumar is a senior research scientist at Centre of Innovation for Tomorrow’s Enterprise (CITE) in Infosys Labs. He has over 10 years of experience in leading important talent and organization development programs at leading firms. At Centre for Innovation, he is leading a series of research projects that applies network perspectives to improve organizational effectiveness and harness social media intelligence. He has presented in top international conferences such as Academy of Management (AoM) annual meeting, Academy of Human Resource Development (AHRD) annual conference, Strategic Management Society (SMS) conference, and International Network for Social Network Analysis (INSNA) Sunbelt conference About Infosys Many of the world's most successful organizations rely on Infosys to deliver measurable business value. Infosys provides business consulting, technology, engineering and outsourcing services to help clients in over 30 countries build tomorrow's enterprise. For more information, contact askus@infosys.com www.infosys.com © 2012 Infosys Limited, Bangalore, India. Infosys believes the information in this publication is accurate as of its publication date; such information is subject to change without notice. Infosys acknowledges the proprietary rights of the trademarks and product names of other companies mentioned in this document.