IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v107y2016icp13-27.html
   My bibliography  Save this article

Value ecosystem models for social media services

Author

Listed:
  • Kim, Dohoon

Abstract

This study presents the architecture as well as the SDPs (Service Delivery Processes) of two ecosystems—CVE (Collaborative Value Ecosystem) and LVE (Leadership Value Ecosystem)—for social media services, and analyzes and compares these two ecosystems. CVE and LVE respectively represent the traditional social media service ecosystem and a new (future) ecosystem governed by service platforms. In our stylized model, the architecture of the social media platform ecosystem (to be briefly referred as the ‘value ecosystem’) is composed of user group, SP (Service Platform) and CP (Contents Provider). Specifically, users are uniformly populated over [0,Δ], where Δ represents the span of users' preference for the social media services. We also emphasize the differences in the SDP and resulting service provisioning of the value ecosystems. Accordingly, the roles of players are different in two ecosystems. Multi-stage game models are employed for analyses and comparisons of players' optimal behaviors and the value-creation capability in each value ecosystem. In particular, the latter is measured by the amount of information created in the respective ecosystem. Our first analysis indicates that the user group is segmentized differently across the value ecosystems. Subsequently, following analysis presents equilibrium strategies of SP and CP. According to our analyses and experiments, it is more likely that the overall level of the social media services in LVE is higher than that in CVE. However, the total amount of information created throughout CVE is larger than that in LVE. These findings imply that the leadership of SP may boost or constrain the value ecosystem. We also demonstrate that the user diversity measured by Δ is another key parameter for value creation in these ecosystems.

Suggested Citation

  • Kim, Dohoon, 2016. "Value ecosystem models for social media services," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 13-27.
    • Handle: RePEc:eee:tefoso:v:107:y:2016:i:c:p:13-27
    DOI: 10.1016/j.techfore.2016.03.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162516000767
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2016.03.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Berthon, Pierre R. & Pitt, Leyland F. & Plangger, Kirk & Shapiro, Daniel, 2012. "Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy," Business Horizons, Elsevier, vol. 55(3), pages 261-271.
    2. Hanna, Richard & Rohm, Andrew & Crittenden, Victoria L., 2011. "We're all connected: The power of the social media ecosystem," Business Horizons, Elsevier, vol. 54(3), pages 265-273, May.
    3. Tomas J. Philipson & Richard A. Posner, 1999. "The Long-Run Growth in Obesity as a Function of Technological Change," Working Papers 9912, Harris School of Public Policy Studies, University of Chicago.
    4. Rahul Basole & Jürgen Karla, 2011. "On the Evolution of Mobile Platform Ecosystem Structure and Strategy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(5), pages 313-322, October.
    5. Enders, Albrecht & Hungenberg, Harald & Denker, Hans-Peter & Mauch, Sebastian, 2008. "The long tail of social networking.: Revenue models of social networking sites," European Management Journal, Elsevier, vol. 26(3), pages 199-211, June.
    6. Levy, Amnon, 2006. "Sincere Social Capital with Material Status Sensitivity: Index and an Inverted U-Shaped Utility-Wealth Theory," Economics Working Papers wp06-27, School of Economics, University of Wollongong, NSW, Australia.
    7. David S. Evans & Andrei Hagiu & Richard Schmalensee, 2008. "Invisible Engines: How Software Platforms Drive Innovation and Transform Industries," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550687, December.
    8. David S. Evans & Andrei Hagiu & Richard Schmalensee, 2005. "A Survey of the Economic Role of Software Platforms in Computer-based Industries," CESifo Economic Studies, CESifo, vol. 51(2-3), pages 189-224.
    9. Kim, Angella J. & Ko, Eunju, 2012. "Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand," Journal of Business Research, Elsevier, vol. 65(10), pages 1480-1486.
    10. Peng Huang & Marco Ceccagnoli & Chris Forman & D.J. Wu, 2009. "Participation in a Platform Ecosystem: Appropriability, Competition, and Access to the Installed Base," Working Papers 09-14, NET Institute, revised Sep 2009.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karikari, Serwaa & Osei-Frimpong, Kofi & Owusu-Frimpong, Nana, 2017. "Evaluating individual level antecedents and consequences of social media use in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 68-79.
    2. Osei-Frimpong, Kofi & McLean, Graeme, 2018. "Examining online social brand engagement: A social presence theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 10-21.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arora, Anuja & Bansal, Shivam & Kandpal, Chandrashekhar & Aswani, Reema & Dwivedi, Yogesh, 2019. "Measuring social media influencer index- insights from facebook, Twitter and Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 86-101.
    2. Reema Aswani & Arpan Kumar Kar & P. Vigneswara Ilavarasan, 2018. "Detection of Spammers in Twitter marketing: A Hybrid Approach Using Social Media Analytics and Bio Inspired Computing," Information Systems Frontiers, Springer, vol. 20(3), pages 515-530, June.
    3. Rydén, Pernille & Ringberg, Torsten & Wilke, Ricky, 2015. "How Managers' Shared Mental Models of Business–Customer Interactions Create Different Sensemaking of Social Media," Journal of Interactive Marketing, Elsevier, vol. 31(C), pages 1-16.
    4. Wang, Tien & Lee, Fu-Yu, 2020. "Examining customer engagement and brand intimacy in social media context," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    5. Bastos, Wilson, 2020. "“Speaking of Purchases”: How Conversational Potential Determines Consumers' Willingness to Exert Effort for Experiential Versus Material Purchases," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 1-16.
    6. Tang, Hua & Chen, Jing & Ai, Xingzheng & Li, Xiaojing & He, Haojia, 2023. "First-party content decision under competitive hardware/software platforms: Free vs. charge," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1068-1083.
    7. Ghezzi, Antonio & Gastaldi, Luca & Lettieri, Emanuele & Martini, Antonella & Corso, Mariano, 2016. "A role for startups in unleashing the disruptive power of social media," International Journal of Information Management, Elsevier, vol. 36(6), pages 1152-1159.
    8. Valter Afonso Vieira & Marcos Inácio Severo Almeida & Raj Agnihotri & Nôga Simões De Arruda Corrêa Silva & S. Arunachalam, 2019. "In pursuit of an effective B2B digital marketing strategy in an emerging market," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1085-1108, November.
    9. Ulrike Baumöl & Linda Hollebeek & Reinhard Jung, 2016. "Dynamics of customer interaction on social media platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(3), pages 199-202, August.
    10. Gyesik Oh & Yoo S. Hong, 2018. "The impact of platform update interval on platform diffusion in a cooperative mobile ecosystem," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 549-558, March.
    11. Karippacheril, Tina George & Nikayin, Fatemeh & de Reuver, Mark & Bouwman, Harry, 2013. "Serving the poor: Multisided mobile service platforms, openness, competition, collaboration and the struggle for leadership," Telecommunications Policy, Elsevier, vol. 37(1), pages 24-34.
    12. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    13. Leila Meratian Esfahani & Lester W. Johnson, 2018. "Stakeholders’ Engagement and Strategic Management of Social Media," Journal of International Business Research and Marketing, Inovatus Services Ltd., vol. 3(6), pages 47-56, September.
    14. Key Pousttchi & Alexander Gleiss, 2019. "Surrounded by middlemen - how multi-sided platforms change the insurance industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 609-629, December.
    15. Hugues Seraphin & Adrian Micu & Michele Ambaye & Alexandru Capatina, 2016. "Performing Causal Configurations in e-Tourism: a Fuzzy-Set Approach," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 192-201.
    16. Bazi, Saleh & Filieri, Raffaele & Gorton, Matthew, 2020. "Customers’ motivation to engage with luxury brands on social media," Journal of Business Research, Elsevier, vol. 112(C), pages 223-235.
    17. Scuotto, Veronica & Del Giudice, Manlio & Peruta, Maria Rosaria della & Tarba, Shlomo, 2017. "The performance implications of leveraging internal innovation through social media networks: An empirical verification of the smart fashion industry," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 184-194.
    18. Hyun Gon Kim & Zhan Wang, 2019. "Defining and measuring social customer-relationship management (CRM) capabilities," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(1), pages 40-50, March.
    19. Bizzi, Lorenzo, 2018. "The hidden problem of Facebook and social media at work: What if employees start searching for other jobs?," Business Horizons, Elsevier, vol. 61(1), pages 23-33.
    20. Carmen Berne-Manero & Mercedes Marzo-Navarro, 2020. "Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability," Sustainability, MDPI, vol. 12(11), pages 1-19, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:107:y:2016:i:c:p:13-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.