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ABSTRACT
Reward-based crowdfunding has become a popular fundraising marketspace for entrepreneurs. However, few studies take a process perspective and examine how fundraiser network influences the execution effectiveness of crowdfunding projects. Collecting the funding activities of all fundraisers on Kickstarter in 2017, we construct a fundraiser network and examine the effects of fundraiser network structural characteristics on project execution effectiveness. Employing endogenous stochastic frontier analysis, we show that reciprocity and accessibility in the fundraiser network increase project execution effectiveness. We also demonstrate that gaining network status by virtue of being an authoritative figure in the fundraiser network increases project execution effectiveness. In sum, our study identifies the effects of the fundraiser network characteristics on project execution effectiveness and introduces a process perspective for evaluating crowdfunding campaigns.
Supplementary information
Supplemental data for this article can be accessed on the publisher’s website
Disclosure Statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Ta-Wei (Daniel) Kao
Ta-Wei (Daniel) Kao ([email protected]; corresponding author) is an Assistant Professor of Operations Management at the University of Michigan-Dearborn. He received his Ph.D. from the State University of New York at Buffalo. Dr. Kao’s research interests include supply chain management, social network analysis, and econometric analysis. He received a Best Interdisciplinary Paper Award at a Decision Science Institute Annual Meeting and several other awards. His academic works have appeared in Journal of Business Logistics, European Journal of Operational Research, International Journal of Production Economics, Decision Support Systems, Computers in Human Behavior, and other journals.
Shih-Hui (Steven) Hsiao
Shih-Hui (Steven) Hsiao ([email protected]) is an Assistant Professor in Management Information Systems at the Rohrer College of Business at Rowan University He received his Ph.D. in Decision Science and Information Systems from the Gatton College of Business and Economics, University of Kentucky. Dr. Hsiao’s research interests include social media analytics, opinion mining, social influencer, and online social network. His work has been published in such journals as Journal of the Association for Information Science and Technology, Decision Support Systems, and Industrial Marketing Management.
Hung-Chung Su
Hung-Chung Su ([email protected]) is an Associate Professor of Operations Management at the University of Michigan-Dearborn. He received his Ph.D. in Operations and Management Science from the Carlson School of Management, University of Minnesota. Dr. Sus research interests include quality management and supply chain management. His papers can be found in such journals such as Journal of Operations Management, Decision Sciences, Journal of Supply Chain Management, Journal of Business Logistics, and International Journal of Operations & Production Management.
Chih-Hao (Justin) Ku
Chih-Hao Ku ([email protected]) is an Assistant Professor in Monte Ahuja College of Business at Cleveland State University. Dr. Ku received his M.S. and Ph.D. in Information Systems and Technology at Claremont Graduate University. His research focuses on deep learning, natural language processing, and visual analytics. He has published his work in the Journal of the Association for Information Science and Technology, Government Information Quarterly, Journal of Information Systems, and International Journal of Information Management, among others.