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Author:

Huo, H. (Huo, H..) | Wang, C. (Wang, C..) | Han, C. (Han, C..) | Yang, M. (Yang, M..) | Shang, W.-L. (Shang, W.-L..)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

The widespread development of digital technology facilitates the emergence of new entrepreneurial modes, of which crowdfunding digital platforms are one. In the digital environment of crowdfunding platforms, digital entrepreneurs can obtain the essential resources necessary for their startups' rapid and cost-effcient development. However, the information asymmetry derived from the digital nature of crowdfunding platforms leads to a lower chance of success for entrepreneurial ventures in this market, especially those in digital technology, limiting the important role that crowdfunding platforms can play in digital entrepreneurship. To this end, we focus on the risk disclosure section introduced by crowdfunding platforms to alleviate information asymmetry and explore the influence mechanism of the content of risk disclosure on entrepreneurial resource acquisition in crowdfunding digital platforms. By employing a novel text mining technique structural topic modelling, we analyse the risk disclosure texts of 4,284 digital technology crowdfunding projects and successfully identify various factors that constrain the development of digital technology ventures in crowdfunding platforms. Furthermore, we find that the risk topics digital entrepreneurs disclose negatively affect entrepreneurial resource acquisition. However, this relationship is moderated by the reward structure setting in the context of reward-based crowdfunding. The findings of this study not only enrich the literature on crowdfunding and digital entrepreneurship but also provide valuable practical implications on how crowdfunding digital platforms can be used to promote the development of digital entrepreneurship. © 2024

Keyword:

Risk disclosure Digital technology ventures Text mining Digital entrepreneurship Crowdfunding

Author Community:

  • [ 1 ] [Huo H.]School of Management, Harbin University of Commerce, Harbin, 158020, China
  • [ 2 ] [Wang C.]School of Management, Harbin University of Commerce, Harbin, 158020, China
  • [ 3 ] [Han C.]Department of Management, Birkbeck, University of London, London, WC1E 7HX, United Kingdom
  • [ 4 ] [Yang M.]Department of Management, Birkbeck, University of London, London, WC1E 7HX, United Kingdom
  • [ 5 ] [Shang W.-L.]Beijing Key Laboratory of Traffic Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Shang W.-L.]School of Traffic and Transportation, Beijing Jiaotong University, Beijing, 100008, China
  • [ 7 ] [Shang W.-L.]Centre for Transport Studies, Imperial College London, London, SW7 2AZ, United Kingdom

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Source :

Information Processing and Management

ISSN: 0306-4573

Year: 2024

Issue: 3

Volume: 61

8 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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