Crowdfunding Success Factors: A Meta-Analytic Investigation

In view of the significant role project success plays for all parties in the crowdfunding market, a wealth of research has extensively explored its vastly diverse antecedents. Drawing on the elaboration likelihood model as an overarching theoretical basis, our meta-analysis examines the aggregated effects of widely investigated antecedents (as central and peripheral cues) and moderating roles of research contexts (referring to the elaboration likelihood). It reveals a stronger link with soft information–related factors, weaker ties with backer-related factors, and varied effects of project factors. Crowdfunding success measure, crowdfunding model, platform popularity, and project location are important reasons for the inconsistencies in findings across individual studies. Our research offers valuable insights for stakeholders in the crowdfunding ecosystem. For backers, it empowers them to select projects with greater potential for success among the vast number of available options, ensuring more informed investment decisions. Fundraisers can leverage our findings to refine their fundraising strategies, thereby boosting their chances of securing funds effectively. Crowdfunding platforms can harness our findings to refine their system architecture, enrich service offerings, and improve user satisfaction. Furthermore, regulators and policymakers can draw from our study to devise regulations that nurture a robust and favorable crowdfunding environment.

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Publication Details

Journal
Information Systems Research
Published
2025-05-29
DOI
https://doi.org/10.1287/isre.2022.0640
Citations
8
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
13.70
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article

Crowdfunding Success Factors: A Meta-Analytic Investigation

Lingfei Deng, Dapeng Xu, Xiaoquan Zhang, Hong Hong
8 citations
Information Systems Research
FinTech, Crowdfunding, Digital Finance
13.70
article

Crowdfunding Success Factors: A Meta-Analytic Investigation

Lingfei Deng, Dapeng Xu, Xiaoquan Zhang, Hong Hong
article en
8 citations

Abstract

In view of the significant role project success plays for all parties in the crowdfunding market, a wealth of research has extensively explored its vastly diverse antecedents. Drawing on the elaboration likelihood model as an overarching theoretical basis, our meta-analysis examines the aggregated effects of widely investigated antecedents (as central and peripheral cues) and moderating roles of research contexts (referring to the elaboration likelihood). It reveals a stronger link with soft information–related factors, weaker ties with backer-related factors, and varied effects of project factors. Crowdfunding success measure, crowdfunding model, platform popularity, and project location are important reasons for the inconsistencies in findings across individual studies. Our research offers valuable insights for stakeholders in the crowdfunding ecosystem. For backers, it empowers them to select projects with greater potential for success among the vast number of available options, ensuring more informed investment decisions. Fundraisers can leverage our findings to refine their fundraising strategies, thereby boosting their chances of securing funds effectively. Crowdfunding platforms can harness our findings to refine their system architecture, enrich service offerings, and improve user satisfaction. Furthermore, regulators and policymakers can draw from our study to devise regulations that nurture a robust and favorable crowdfunding environment.

Information Systems Research
Sun Yat-sen University (CN), Chinese University of Hong Kong (HK), Harbin Institute of Technology (CN), China Tourism Academy (CN), South China University of Technology (CN)
Openalex Percentile: Top 1%
FinTech, Crowdfunding, Digital Finance
13.70
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Crowdfunding Success Factors: A Meta-Analytic Investigation — Lingfei Deng, Dapeng Xu, et al. · Information Systems Research (2025) | TGRS Research Map | TGRS