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
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DOI: 10.1007/s11573-018-0899-3
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Citations
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Cited by:
- 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.
- 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.
- Crosetto, P. & Regner, T., 2018. "It's never too late: Funding dynamics and self pledges in reward-based crowdfunding," Working Papers 2018-06, Grenoble Applied Economics Laboratory (GAEL).
- Paolo Crosetto & Tobias Regner, 2018. "It's never too late: Funding dynamics and self pledges in reward-based crowdfunding," Post-Print hal-01863409, HAL.
- Paolo Crosetto & Tobias Regner, 2018. "It's never too late: funding dynamics and self pledges in reward-based crowdfunding," Working Papers hal-01779128, HAL.
- 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.
- 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.
- 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
Statistics
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