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Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze

Author

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  • Chenhui (Julian) Guo

    (Department of Accounting & Information Systems, Eli Broad College of Business, Michigan State University, East Lansing, Michigan 48824)

  • Tae Hun Kim

    (Department of Information Systems and Business Analytics, Hankamer School of Business, Baylor University, Waco, Texas 76798)

  • Anjana Susarla

    (Department of Accounting & Information Systems, Eli Broad College of Business, Michigan State University, East Lansing, Michigan 48824)

  • Vallabh Sambamurthy

    (Wisconsin School of Business, University of Wisconsin—Madison, Madison, Wisconsin 53706)

Abstract

We examine content creation in a geosegmented, crowdsourced social mobile virtual community app, Waze. We conceptualize a virtual and spatial factor, virtual crowdedness (defined as the density of Waze users in a particular geospatial location), and we examine its role in encouraging user contribution. We posit that the relationship between virtual crowdedness and user contribution is driven by the tension between audience effects and bystander/content saturation effects. We analyze a panel data set of user contributions on Waze from New York City to test our hypotheses. First, our findings indicate that although virtual crowdedness has a positive influence on total number of contributions, the magnitude of the influence decreases as virtual crowdedness increases. Second, the concave-down increasing relationship is more pronounced for rush hours with high physical crowdedness than for non-rush hours with low physical crowdedness. A variety of robustness checks and alternative analyses based on matching estimators and spatial econometric models further support the main conclusions while mitigating concerns about endogeneity and spatial autocorrelation. Our findings provide several key practical implications for platform designers in that they should allow for users to visualize density of usage as well as improve the design of social features for encouraging user contribution to the mobile virtual community.

Suggested Citation

  • Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
  • Handle: RePEc:inm:orisre:v:31:y:2020:i:4:p:1398-1420
    DOI: 10.1287/isre.2020.0951
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    References listed on IDEAS

    as
    1. Josh Lerner & Jean Tirole, 2002. "Some Simple Economics of Open Source," Journal of Industrial Economics, Wiley Blackwell, vol. 50(2), pages 197-234, June.
    2. Uri Gneezy & Stephan Meier & Pedro Rey-Biel, 2011. "When and Why Incentives (Don't) Work to Modify Behavior," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 191-210, Fall.
    3. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    4. Andreoni, James, 2007. "Giving gifts to groups: How altruism depends on the number of recipients," Journal of Public Economics, Elsevier, vol. 91(9), pages 1731-1749, September.
    5. Karim R. Lakhani & Jill A. Panetta, 2007. "The Principles of Distributed Innovation," Innovations: Technology, Governance, Globalization, MIT Press, vol. 2(3), pages 97-112, July.
    6. Yacheng Sun & Xiaojing Dong & Shelby McIntyre, 2017. "Motivation of User-Generated Content: Social Connectedness Moderates the Effects of Monetary Rewards," Marketing Science, INFORMS, vol. 36(3), pages 329-337, May.
    7. Susan Athey & Glenn Ellison, 2014. "Dynamics of Open Source Movements," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(2), pages 294-316, June.
    8. 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.
    9. R. Mark Isaac & James M. Walker, 1988. "Group Size Effects in Public Goods Provision: The Voluntary Contributions Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(1), pages 179-199.
    10. Anindya Ghose & Sang Pil Han, 2014. "Estimating Demand for Mobile Applications in the New Economy," Management Science, INFORMS, vol. 60(6), pages 1470-1488, June.
    11. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    12. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    13. Andreoni, James, 1988. "Why free ride? : Strategies and learning in public goods experiments," Journal of Public Economics, Elsevier, vol. 37(3), pages 291-304, December.
    14. Harbaugh, William T., 1998. "What do donations buy?: A model of philanthropy based on prestige and warm glow," Journal of Public Economics, Elsevier, vol. 67(2), pages 269-284, February.
    15. Dan Ariely & Anat Bracha & Stephan Meier, 2009. "Doing Good or Doing Well? Image Motivation and Monetary Incentives in Behaving Prosocially," American Economic Review, American Economic Association, vol. 99(1), pages 544-555, March.
    16. Yan Chen & F. Maxwell Harper & Joseph Konstan & Sherry Xin Li, 2010. "Social Comparisons and Contributions to Online Communities: A Field Experiment on MovieLens," American Economic Review, American Economic Association, vol. 100(4), pages 1358-1398, September.
    17. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    18. Kaiquan Xu & Jason Chan & Anindya Ghose & Sang Pil Han, 2017. "Battle of the Channels: The Impact of Tablets on Digital Commerce," Management Science, INFORMS, vol. 63(5), pages 1469-1492, May.
    19. Andreoni, James, 1989. "Giving with Impure Altruism: Applications to Charity and Ricardian Equivalence," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1447-1458, December.
    20. von Krogh, Georg & Spaeth, Sebastian & Lakhani, Karim R., 2003. "Community, joining, and specialization in open source software innovation: a case study," Research Policy, Elsevier, vol. 32(7), pages 1217-1241, July.
    21. Andreoni, James, 1990. "Impure Altruism and Donations to Public Goods: A Theory of Warm-Glow Giving?," Economic Journal, Royal Economic Society, vol. 100(401), pages 464-477, June.
    22. Il-Horn Hann & Jeffrey A. Roberts & Sandra A. Slaughter, 2013. "All Are Not Equal: An Examination of the Economic Returns to Different Forms of Participation in Open Source Software Communities," Information Systems Research, INFORMS, vol. 24(3), pages 520-538, September.
    23. 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.
    24. Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
    25. Duncan, Brian, 2004. "A theory of impact philanthropy," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 2159-2180, August.
    26. Paulo B. Goes & Chenhui Guo & Mingfeng Lin, 2016. "Do Incentive Hierarchies Induce User Effort? Evidence from an Online Knowledge Exchange," Information Systems Research, INFORMS, vol. 27(3), pages 497-516, September.
    27. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
    28. Jana Gallus, 2017. "Fostering Public Good Contributions with Symbolic Awards: A Large-Scale Natural Field Experiment at Wikipedia," Management Science, INFORMS, vol. 63(12), pages 3999-4015, December.
    29. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.
    30. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    31. Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
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