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The Impact of Customer Community Participation on Customer Behaviors: An Empirical Investigation

  • René Algesheimer

    ()

    (University of Zurich, 8032 Zurich, Switzerland)

  • Sharad Borle

    ()

    (Jesse H. Jones Graduate School of Business, Rice University, Houston, Texas 77005)

  • Utpal M. Dholakia

    ()

    (Jesse H. Jones Graduate School of Business, Rice University, Houston, Texas 77005)

  • Siddharth S. Singh

    ()

    (Jesse H. Jones Graduate School of Business, Rice University, Houston, Texas 77005)

Registered author(s):

    Many firms increasingly offer community venues to their customers to facilitate social interactions amongst them. Prior studies have shown that community participants have high engagement and loyalty toward the firm and provide useful feedback and referrals. However, it is not clear whether community participants are the firm's "fans" to begin with and self-select themselves into the community, or whether community participation leads to increased relational customer behaviors. In the current research, we employ data from a field experiment to help answer this question. The data come from a year-long study conducted by eBay Germany, and they reveal that a simple e-mail invitation significantly increased customer participation in the firm's community. Results also show that community participation had mixed effects on customers' likelihoods of participating in buying and selling behaviors. Community participation did not translate into increased behaviors, as would be commonly expected. Although there is no impact of participation on the number of bids placed or the revenue earned, there is a negative impact of participation on the number of listings and the amount spent. Together, these results suggest that the community participants become more selective and efficient sellers, and they also become more conservative in their spending on the items for which they bid. The results also show that customer community marketing programs may be targeted to a broader set of the firm's customers than just the fans.

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    File URL: http://dx.doi.org/10.1287/mksc.1090.0555
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    Article provided by INFORMS in its journal Marketing Science.

    Volume (Year): 29 (2010)
    Issue (Month): 4 (07-08)
    Pages: 756-769

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    Handle: RePEc:inm:ormksc:v:29:y:2010:i:4:p:756-769
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    1. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 2-16, January.
    2. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    3. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    4. Angrist, Joshua D, 2001. "Estimations of Limited Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 27-28, January.
    5. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
    6. Ganesh Iyer & Amit Pazgal, 2003. "Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(1), pages 85-106, November.
    7. Francis Vella, 1998. "Estimating Models with Sample Selection Bias: A Survey," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 127-169.
    8. Ganesh Iyer & Amit Pazgal, 2003. "Erratum: Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(2), pages 271-271, November.
    9. Vella, Francis & Verbeek, Marno, 1999. "Estimating and Interpreting Models with Endogenous Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 473-78, October.
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