Configurational Path to Financing Performance of Crowdfunding Projects Using Fuzzy Set Qualitative Comparative Analysis

Authors

  • Wentao Zhang Harbin Institute of Technology
  • Xiangbin Yan Harbin Institute of Technology
  • Yue Chen School Of Management, Guangdong University of Technology

DOI:

https://doi.org/10.5755/j01.ee.28.1.15422

Keywords:

asymmetric analysis, antecedent condition configuration, crowdfunding, financing performance, fsQCA

Abstract

Different from most of the existing studies, this paper analyzes the financing performance of crowdfunding projects in an asymmetric way. Qualitative comparative analysis has been conducted for antecedent conditions extracted from previous studies using the objected data collected from a Chinese leading crowdfunding platform, JD Crowdfunding. We find that all the antecedent conditions exercise both main and contrarian effects on the financing performance. In addition, progress updates number and history investments number are the most important positive factors, meanwhile financing goal and the minimum pledge amount the most important negative ones. The impact of a single antecedent factor on the financing performance has been proved to depend on the attribute combination it exists rather than remain the same. This study helps expand the crowdfunding performance research field by adopting the QCA method and provides a clearer understanding of the configurational impact on financing performance from asymmetrical perspective. Finally, implications for both research and practice have been discussed.

DOI: http://dx.doi.org/10.5755/j01.ee.28.1.15422

Author Biographies

Wentao Zhang, Harbin Institute of Technology

Ph.D

School Of Management

Xiangbin Yan, Harbin Institute of Technology

School Of Management, Harbin Institute of Technology

Doctor and Professor

Yue Chen, School Of Management, Guangdong University of Technology

Doctor and Instructor

Additional Files

Published

2017-02-24

Issue

Section

ECONOMICS OF ENGINEERING DECISIONS