Predicting Success Factors of Regional Revitalization Crowdfunding Projects Using Logistic Regression Analysis

This study quantitatively identifies desirable words linked to successful purchase-based crowdfunding for regional revitalization. Using 8,544 projects from five Japanese platforms — CAMPFIRE, Booster, ReadyFor, Makuake, and kibidango — we analyzed frequently used words and compared them with non-regional projects to explore differences in success factors. The findings offer insights for developing practical fundraising guidelines.

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Publication Details

Journal
IIAI Letters on Business and Decision Science
Published
2025-01-01
DOI
https://doi.org/10.52731/lbds.v005.373
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00

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article

Predicting Success Factors of Regional Revitalization Crowdfunding Projects Using Logistic Regression Analysis

Shimpei Matsumoto, Kazuki Munehisa
IIAI Letters on Business and Decision Science
FinTech, Crowdfunding, Digital Finance
article

Predicting Success Factors of Regional Revitalization Crowdfunding Projects Using Logistic Regression Analysis

Shimpei Matsumoto, Kazuki Munehisa
article en

Abstract

This study quantitatively identifies desirable words linked to successful purchase-based crowdfunding for regional revitalization. Using 8,544 projects from five Japanese platforms — CAMPFIRE, Booster, ReadyFor, Makuake, and kibidango — we analyzed frequently used words and compared them with non-regional projects to explore differences in success factors. The findings offer insights for developing practical fundraising guidelines.

IIAI Letters on Business and Decision ScienceVol. 5
Hiroshima Institute of Technology (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 55%
FinTech, Crowdfunding, Digital Finance
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