Entrepreneurial Learning and Disincentives in Crowdfunding Markets
成果类型:
Article
署名作者:
Xu, Yan; Ni, Jian
署名单位:
Virginia Polytechnic Institute & State University; Johns Hopkins University
刊物名称:
MANAGEMENT SCIENCE
ISSN/ISSBN:
0025-1909
DOI:
10.1287/mnsc.2021.4248
发表日期:
2022
页码:
6819-6864
关键词:
prelaunch learning
reward-based crowdfunding
entrepreneurship
Supervised Learning
摘要:
Reward-based crowdfunding has enabled entrepreneurs to interact with consumers even before product launches. However, this market persistently suffers from a high failure rate; that is, entrepreneurs fail to launch and deliver their products as promised. We investigate the extent to which this high failure rate is because of information distortion-entrepreneurs have uncertainty about consumers' evaluation of the new products. We model the product launch decisions of different types of entrepreneurs who raise funds through pre selling on reward-based crowdfunding platforms and subsequently decide whether to continue with the product launch. To do so, we collect structured and unstructured data from Kickstarter's digital video game category and classify attributes using supervised learning methods. We develop and estimate an integrated model of crowdfunding demand and entrepreneurs' product launch decisions. We find that the information entrepreneurs gather from crowdfunding sales has sizable impacts on the product launch decisions of entrepreneurs with low managerial capital or new to the crowdfunding platform. Our counterfactual simulations suggest that platform policy regulating over-funded projects can reduce the product launch failure rate by about 13%.
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