IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_10841.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp10841.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    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. Bruneau, Virginie & Swaen, Valérie & Zidda, Pietro, 2018. "Are loyalty program members really engaged? Measuring customer engagement with loyalty programs," Journal of Business Research, Elsevier, vol. 91(C), pages 144-158.
    2. Cerqua Augusto & Di Stefano Roberta & Mattera Raffaele, 2024. "The Clustered Dose-Response Function Estimator for continuous treatment with heterogeneous treatment effects," Papers 2409.08773, arXiv.org.
    3. Hamza Shahid & Arqam Iqbal, 2019. "Customer Brand Engagement Behavior In Online Brand Communities," Journal of Marketing and Logistics (JML), Khadim Ali Shah Bukhari Institute of Technology (KASBIT), vol. 2, pages 65-85, January.
    4. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
    5. Lijuan Bai & Xiangbin Yan, 2023. "Impact of social media capability on firm performance: new evidence from China," Asian Business & Management, Palgrave Macmillan, vol. 22(1), pages 118-136, February.
    6. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
    7. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
    8. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
    9. repec:ags:aaea22:335586 is not listed on IDEAS
    10. Dongcheng Zhang & Kunpeng Zhang, 2020. "Weighting-Based Treatment Effect Estimation via Distribution Learning," Papers 2012.13805, arXiv.org, revised May 2023.
    11. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
    12. Mukta Srivastava & Sreeram Sivaramakrishnan & Gordhan K. Saini, 2021. "The Relationship Between Electronic Word-of-Mouth and Consumer Engagement: An Exploratory Study," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 66-81, January.
    13. Pedeliento, Giuseppe & Andreini, Daniela & Veloutsou, Cleopatra, 2020. "Brand community integration, participation and commitment: A comparison between consumer-run and company-managed communities," Journal of Business Research, Elsevier, vol. 119(C), pages 481-494.
    14. Liao, Junyun & Huang, Minxue & Xiao, Bangming, 2017. "Promoting continual member participation in firm-hosted online brand communities: An organizational socialization approach," Journal of Business Research, Elsevier, vol. 71(C), pages 92-101.
    15. Osei-Frimpong, Kofi & McLean, Graeme, 2018. "Examining online social brand engagement: A social presence theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 10-21.
    16. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
    17. Guido Imbens & Yiqing Xu, 2024. "LaLonde (1986) after Nearly Four Decades: Lessons Learned," Papers 2406.00827, arXiv.org, revised Jun 2024.
    18. Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
    19. Muhammad Junaid & Khalid Hussain & Abdul Basit & Fujun Hou, 2020. "Nature of brand love: examining its variable effect on engagement and well-being," Journal of Brand Management, Palgrave Macmillan, vol. 27(3), pages 284-299, May.
    20. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    21. Lechner, Michael, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," IZA Discussion Papers 12040, Institute of Labor Economics (IZA).

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:ces:ceswps:_10841. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.