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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
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    15. 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).
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    17. 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.
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    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.

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