IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v61y2015i12p2825-2844.html
   My bibliography  Save this article

A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media

Author

Listed:
  • Yan Huang

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

  • Param Vir Singh

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Anindya Ghose

    (Leonard N. Stern School of Business, New York University, New York, New York 10012; and Korea University Business School, Seoul, South Korea)

Abstract

We develop and estimate a dynamic structural framework to analyze the social-media content creation and consumption behavior of employees within an enterprise. We focus, in particular, on employees’ blogging behavior. The model incorporates two key features that are ubiquitous in blogging forums: users face (1) a trade-off between blog posting and blog reading; and (2) a trade-off between work-related and leisure-related content. We apply the model to a unique data set comprising the complete details of the blog posting and reading behavior of employees over a 15-month period at a Fortune 1000 IT services and consulting firm. Despite getting a higher utility from work-related blogging, employees nevertheless publish a significant number of leisure posts. This is partially because the creation of leisure posts has a significant positive spillover effect on the readership of work posts. Counterfactual experiments demonstrate that leisure-related blogging has positive spillovers for work-related blogging, and hence a policy of abolishing leisure-related content creation can inadvertently have adverse consequences on work-related content creation in an enterprise setting. When organizations restrict leisure blogging, the sharing of online work-related knowledge decreases and this in turn can also reduce employee performance rating. Overall, blogging within enterprises by employees during their work day can have positive long-term benefits for organizations. This paper was accepted by Lorin Hitt, information systems .

Suggested Citation

  • Yan Huang & Param Vir Singh & Anindya Ghose, 2015. "A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media," Management Science, INFORMS, vol. 61(12), pages 2825-2844, December.
  • Handle: RePEc:inm:ormnsc:v:61:y:2015:i:12:p:2825-2844
    DOI: 10.1287/mnsc.2014.2125
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2014.2125
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2014.2125?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
    ---><---

    References listed on IDEAS

    as
    1. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    2. Vivek Farias & Denis Saure & Gabriel Y. Weintraub, 2012. "An approximate dynamic programming approach to solving dynamic oligopoly models," RAND Journal of Economics, RAND Corporation, vol. 43(2), pages 253-282, June.
    3. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 53-82.
    4. Ariel Pakes & Paul McGuire, 1994. "Computing Markov-Perfect Nash Equilibria: Numerical Implications of a Dynamic Differentiated Product Model," RAND Journal of Economics, The RAND Corporation, vol. 25(4), pages 555-589, Winter.
    5. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    6. Linda Argote & Bill McEvily & Ray Reagans, 2003. "Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes," Management Science, INFORMS, vol. 49(4), pages 571-582, April.
    7. Param Vir Singh & Nachiketa Sahoo & Tridas Mukhopadhyay, 2014. "How to Attract and Retain Readers in Enterprise Blogging?," Information Systems Research, INFORMS, vol. 25(1), pages 35-52, March.
    8. Paulo Albuquerque & Polykarpos Pavlidis & Udi Chatow & Kay-Yut Chen & Zainab Jamal, 2012. "Evaluating Promotional Activities in an Online Two-Sided Market of User-Generated Content," Marketing Science, INFORMS, vol. 31(3), pages 406-432, May.
    9. Shyam Gopinath & Pradeep K. Chintagunta & Sriram Venkataraman, 2013. "Blogs, Advertising, and Local-Market Movie Box Office Performance," Management Science, INFORMS, vol. 59(12), pages 2635-2654, December.
    10. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
    11. Jean-Pierre Dubé & K. Sudhir & Andrew Ching & Gregory Crawford & Michaela Draganska & Jeremy Fox & Wesley Hartmann & Günter Hitsch & V. Viard & Miguel Villas-Boas & Naufel Vilcassim, 2005. "Recent Advances in Structural Econometric Modeling: Dynamics, Product Positioning and Entry," Marketing Letters, Springer, vol. 16(3), pages 209-224, December.
    12. Gabriel Y. Weintraub & C. Lanier Benkard & Benjamin Van Roy, 2008. "Markov Perfect Industry Dynamics With Many Firms," Econometrica, Econometric Society, vol. 76(6), pages 1375-1411, November.
    13. Param Vir Singh & Yong Tan & Nara Youn, 2011. "A Hidden Markov Model of Developer Learning Dynamics in Open Source Software Projects," Information Systems Research, INFORMS, vol. 22(4), pages 790-807, December.
    14. Melissa C. Thomas-Hunt & Tonya Y. Ogden & Margaret A. Neale, 2003. "Who's Really Sharing? Effects of Social and Expert Status on Knowledge Exchange Within Groups," Management Science, INFORMS, vol. 49(4), pages 464-477, April.
    15. Rohit Aggarwal & Ram Gopal & Ramesh Sankaranarayanan & Param Vir Singh, 2012. "Blog, Blogger, and the Firm: Can Negative Employee Posts Lead to Positive Outcomes?," Information Systems Research, INFORMS, vol. 23(2), pages 306-322, June.
    16. Natalia Levina & Manuel Arriaga, 2014. "Distinction and Status Production on User-Generated Content Platforms: Using Bourdieu’s Theory of Cultural Production to Understand Social Dynamics in Online Fields," Information Systems Research, INFORMS, vol. 25(3), pages 468-488, September.
    17. Anindya Ghose & Sang Pil Han, 2011. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet," Management Science, INFORMS, vol. 57(9), pages 1671-1691, September.
    18. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    19. David Constant & Sara Kiesler & Lee Sproull, 1994. "What's Mine Is Ours, or Is It? A Study of Attitudes about Information Sharing," Information Systems Research, INFORMS, vol. 5(4), pages 400-421, December.
    20. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    21. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    22. Sanjeev Dewan & Jui Ramaprasad, 2012. "Research Note ---Music Blogging, Online Sampling, and the Long Tail," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 1056-1067, September.
    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. Jindi Fu & Sukanlaya Sawang & Yuan Sun, 2019. "Enterprise Social Media Adoption: Its Impact on Social Capital in Work and Job Satisfaction," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    2. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    3. Chen, Xiayu & Ou, Carol & Davison, Robert, 2022. "Internal or external social media? The effects of work-related and social-related use of social media on improving employee performance," Other publications TiSEM 429334bc-b257-4012-b0a9-5, Tilburg University, School of Economics and Management.
    4. Warut Khern-am-nuai & Karthik Kannan & Hossein Ghasemkhani, 2018. "Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform," Information Systems Research, INFORMS, vol. 29(4), pages 871-892, December.
    5. Victor Aguirregabiria & Allan Collard-Wexler & Stephen P. Ryan, 2021. "Dynamic Games in Empirical Industrial Organization," NBER Working Papers 29291, National Bureau of Economic Research, Inc.
    6. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    7. Yuan Chen & Hsing Kenneth Cheng & Yang Liu & Jingchuan Pu & Liangfei Qiu & Ning Wang, 2022. "Knowledge‐sharing ties and equivalence in corporate online communities: A novel source to understand voluntary turnover," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3896-3913, October.
    8. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    9. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.
    10. Qi Song & Yi Wang & Yang Chen & Jose Benitez & Jiang Hu, 2019. "Impact of the usage of social media in the workplace on team and employee performance," Post-Print hal-02159305, HAL.
    11. Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.
    12. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    13. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    14. Pitafi, Abdul Hameed & Kanwal, Shamsa & Ali, Ahsan & Khan, Ali Nawaz & Waqas Ameen, Muhammad, 2018. "Moderating roles of IT competency and work cooperation on employee work performance in an ESM environment," Technology in Society, Elsevier, vol. 55(C), pages 199-208.
    15. Liu, Zhenyuan & Geng, Ruoqi & Tse, Ying Kei (Mike) & Han, Shuihua, 2023. "Mapping the relationship between social media usage and organizational performance: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    16. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2016. "Managing User-Generated Content: A Dynamic Rational Expectations Equilibrium Approach," Marketing Science, INFORMS, vol. 35(2), pages 284-303, March.
    17. Marios Kokkodis & Theodoros Lappas & Sam Ransbotham, 2020. "From Lurkers to Workers: Predicting Voluntary Contribution and Community Welfare," Information Systems Research, INFORMS, vol. 31(2), pages 607-626, June.
    18. Yee, Rachel W.Y. & Miquel-Romero, Maria-Jose & Cruz-Ros, Sonia, 2021. "Why and how to use enterprise social media platforms: The employee’s perspective," Journal of Business Research, Elsevier, vol. 137(C), pages 517-526.
    19. Vydrová Janka, 2019. "Comparative Study of Employees´ Key Competencies in Selected Health Care and Non-Health Care Organizations," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 1237-1247, May.
    20. Shunyuan Zhang & Param Vir Singh & Anindya Ghose, 2019. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests," Service Science, INFORMS, vol. 30(1), pages 15-33, March.
    21. Clarence Lee & Elie Ofek & Thomas J. Steenburgh, 2018. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged," Management Science, INFORMS, vol. 64(6), pages 2473-2495, June.
    22. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Dynamic Decision Making in Sequential Business-to-Business Auctions: A Structural Econometric Approach," Management Science, INFORMS, vol. 65(8), pages 3853-3876, August.
    23. Jan Brocke & Wolfgang Maaß & Peter Buxmann & Alexander Maedche & Jan Marco Leimeister & Günter Pecht, 2018. "Future Work and Enterprise Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 357-366, August.
    24. Walsh, Gianfranco & Schaarschmidt, Mario & von Kortzfleisch, Harald, 2016. "Employees' Company Reputation-related Social Media Competence: Scale Development and Validation," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 46-59.
    25. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.

    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. C. Lanier Benkard & Przemyslaw Jeziorski & Gabriel Y. Weintraub, 2013. "Oblivious Equilibrium for Concentrated Industries," NBER Working Papers 19307, National Bureau of Economic Research, Inc.
    2. C. Lanier Benkard & Przemyslaw Jeziorski & Gabriel Y. Weintraub, 2015. "Oblivious equilibrium for concentrated industries," RAND Journal of Economics, RAND Corporation, vol. 46(4), pages 671-708, October.
    3. Aamir Rafique Hashmi & Johannes Van Biesebroeck, 2016. "The Relationship between Market Structure and Innovation in Industry Equilibrium: A Case Study of the Global Automobile Industry," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 192-208, March.
    4. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    5. Johannes Van Biesebroeck & Aamir Hashmi, 2007. "Market Structure and Innovation: A Dynamic Analysis of the Global Automobile Industry," 2007 Meeting Papers 362, Society for Economic Dynamics.
    6. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    7. Abbring, Jaap & Campbell, J.R. & Tilly, J. & Yang, N., 2018. "Very Simple Markov-Perfect Industry Dynamics (revision of 2017-021) : Empirics," Discussion Paper 2018-040, Tilburg University, Center for Economic Research.
    8. Peter Arcidiacono & Patrick Bayer & Jason R. Blevins & Paul B. Ellickson, 2016. "Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(3), pages 889-931.
    9. Linli Xu & Jorge M. Silva-Risso & Kenneth C. Wilbur, 2018. "Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples," Management Science, INFORMS, vol. 64(7), pages 3187-3207, July.
    10. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    11. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    12. Light, Bar & Weintraub, Gabriel, 2018. "Mean Field Equilibrium: Uniqueness, Existence, and Comparative Statics," Research Papers 3731, Stanford University, Graduate School of Business.
    13. Corbae, Dean & D’Erasmo, Pablo, 2020. "Rising bank concentration," Journal of Economic Dynamics and Control, Elsevier, vol. 115(C).
    14. Joao Macieira, 2010. "Oblivious Equilibrium in Dynamic Discrete Games," 2010 Meeting Papers 680, Society for Economic Dynamics.
    15. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    16. Doraszelski, Ulrich & Kryukov, Yaroslav & Borkovsky, Ron N., 2008. "A User's Guide to Solving Dynamic Stochastic Games Using the Homotopy Method," CEPR Discussion Papers 6733, C.E.P.R. Discussion Papers.
    17. Ariel Pakes & Michael Ostrovsky & Steven Berry, 2007. "Simple estimators for the parameters of discrete dynamic games (with entry/exit examples)," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 373-399, June.
    18. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    19. Timothy Dunne & Shawn D. Klimek & Mark J. Roberts & Daniel Yi Xu, 2013. "Entry, exit, and the determinants of market structure," RAND Journal of Economics, RAND Corporation, vol. 44(3), pages 462-487, September.
    20. A. Ronald Gallant & Han Hong & Ahmed Khwaja, 2012. "Bayesian Estimation of a Dynamic Game with Endogenous, Partially Observed, Serially Correlated State," Working Papers 12-01, Duke University, Department of Economics.

    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:inm:ormnsc:v:61:y:2015:i:12:p:2825-2844. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.