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The Heterogeneous Effect of Digitizing Community Activities on Community Participation

Author

Listed:
  • Martina Pocchiari
  • Jason M.T. Roos

Abstract

As social and business activities undergo significant digital transformation, the allure of digitized versus traditional in-person events remains a critical question. This study quantifies the heterogeneous effect of digitization on community participation across communities catering to different interests, such as business, technology, and socialization. Leveraging comprehensive panel data from a leading community-building platform, our analyses reveal that prospective participation in digitized events is lower compared to their in-person counterparts. However, this overarching effect masks a more complex reality. We uncover significant heterogeneity in participation intentions, with outcomes closely tied to specific event characteristics and interest topics. For example, prospective engagement in digitized networking meetings varies substantially depending on whether the meetings are business- or leisure-oriented. Similarly, the context in which goal-oriented meetings occur plays a decisive role: prospective participation in digitized events decreases by 2.95% for writing clubs, but increases by 2.72% for language clubs. These findings suggest that approaches to community-building through digitization must be tailored to the unique attributes of the community and its events. A one-size-fits-all strategy to digital transformation may fall short of fostering meaningful engagement. As the digital landscape evolves, our research offers quantitative benchmarks and managerial guidelines for community engagement in the digital age.

Suggested Citation

  • Martina Pocchiari & Jason M.T. Roos, 2023. "The Heterogeneous Effect of Digitizing Community Activities on Community Participation," CESifo Working Paper Series 10841, CESifo.
  • Handle: RePEc:ces:ceswps:_10841
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10841.pdf
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    References listed on IDEAS

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    1. René Algesheimer & Sharad Borle & Utpal M. Dholakia & Siddharth S. Singh, 2010. "The Impact of Customer Community Participation on Customer Behaviors: An Empirical Investigation," Marketing Science, INFORMS, vol. 29(4), pages 756-769, 07-08.
    2. Sconti, Alessia, 2022. "Digital vs. in-person financial education: What works best for Generation Z?," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 300-318.
    3. Eric P. Bettinger & Lindsay Fox & Susanna Loeb & Eric S. Taylor, 2017. "Virtual Classrooms: How Online College Courses Affect Student Success," American Economic Review, American Economic Association, vol. 107(9), pages 2855-2875, September.
    4. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    5. Bourreau, Marc & Doğan, Pınar, 2018. "Gains from digitization: Evidence from gift-giving in music," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 106-122.
    6. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    7. Ozgun Atasoy & Carey K Morewedge & Vicki MorwitzEditor & Kristin DiehlAssociate Editor, 2018. "Digital Goods Are Valued Less Than Physical Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(6), pages 1343-1357.
    8. Wiegand, Nico & Imschloss, Monika, 2021. "Do You Like What You (Can't) See? The Differential Effects of Hardware and Software Upgrades on High-Tech Product Evaluations," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 18-40.
    9. Ho, Daniel & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2011. "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i08).
    10. Brodie, Roderick J. & Ilic, Ana & Juric, Biljana & Hollebeek, Linda, 2013. "Consumer engagement in a virtual brand community: An exploratory analysis," Journal of Business Research, Elsevier, vol. 66(1), pages 105-114.
    11. Fan Li & Kari Lock Morgan & Alan M. Zaslavsky, 2018. "Balancing Covariates via Propensity Score Weighting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 390-400, January.
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    More about this item

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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