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Who benefits from the wisdom of the crowd in crowdfunding? Assessing the benefits of user-generated and mass personal electronic word of mouth in computer-mediated financing

Author

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  • Jermain Kaminski

    (RWTH Aachen University)

  • Christian Hopp

    (RWTH Aachen University)

  • Christian Lukas

    (Friedrich Schiller University of Jena)

Abstract

In this work, we explore the link between electronic word of mouth in the form of user-generated content (online forum interactions on Kickstarter) and through mass personal communication (sharing information through Facebook) on the performance of crowdfunding campaigns. Our formal theoretical model implies that the efficiency of electronic word of mouth is determined by the quality of the underlying crowdfunding campaign. Using a sample of 572 project observations, we test our theoretical predictions in cross-sectional logistic regression and ancillary Granger analyses. Our results highlight the interactive contingency of social media engagement and the success of the crowdfunding campaign. While a higher quality campaign is benefitting from user generated electronic word of mouth (online comments), the returns are diminishing. For mass personal electronic word of mouth (Facebook shares), we even find a reverse causal effect. Social media activity follows a successful campaign, but does not affect the success probability of the campaign. Crowdfunding campaigns need to approach their social media activities with a certain note of sensitivity to achieve the objective of successfully reaching their campaign goal.

Suggested Citation

  • Jermain Kaminski & Christian Hopp & Christian Lukas, 2018. "Who benefits from the wisdom of the crowd in crowdfunding? Assessing the benefits of user-generated and mass personal electronic word of mouth in computer-mediated financing," Journal of Business Economics, Springer, vol. 88(9), pages 1133-1162, December.
  • Handle: RePEc:spr:jbecon:v:88:y:2018:i:9:d:10.1007_s11573-018-0899-3
    DOI: 10.1007/s11573-018-0899-3
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    Cited by:

    1. Crosetto, Paolo & Regner, Tobias, 2018. "It's never too late: Funding dynamics and self pledges in reward-based crowdfunding," Research Policy, Elsevier, vol. 47(8), pages 1463-1477.
    2. Dana Adriana Lupșa-Tătaru & Radu Lixăndroiu, 2022. "YouTube Channels, Subscribers, Uploads and Views: A Multidimensional Analysis of the First 1700 Channels from July 2022," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    3. Sarah Borchers & Lee M. Dunham, 2022. "Tapping of the crowd: The effect of entrepreneur engagement on equity crowdfunding success," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 324-346, April.
    4. Thomas Clauss & Thomas Niemand & Sascha Kraus & Patrick Schnetzer & Alexander Brem, 2019. "Increasing Crowdfunding Success Through Social Media: The Importance Of Reach And Utilisation In Reward-Based Crowdfunding," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 1-30, May.
    5. Bernardino, Susana & Freitas Santos, José & Oliveira, Sílvie, 2021. "The impact of social media and e-WOM on the success of reward-based crowdfunding campaigns," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).

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    More about this item

    Keywords

    Crowdfunding; Social capital; Entrepreneurial finance; Electronic word of mouth;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship

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