1. A review of research on entrepreneurship and crowdfunding: insights from bibliometric analysis.
- Author
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Kumar, Amit and Agrawal, Gaurav
- Subjects
BIBLIOMETRICS ,LITERATURE reviews ,BUSINESSPEOPLE ,BUSINESS schools ,SOCIAL innovation - Abstract
Purpose: The aim of the study is to examine the role of crowdfunding in entrepreneurial development with the help of a systematic review of the literature and bibliometric analysis. Design/methodology/approach: The present research employed bibliometric analysis to study collected data from the database. Using proper keywords, data was retrieved from Scopus. With the scaler and analytical method of bibliometric analysis, the research attempts to answer the following questions, including prominent journals, authors, keywords and cluster analysis based on keyword occurrence. The mapping/networking chart is created using the VOSviewer software. Findings: The result of the study suggests that it is an attractive and emerging phenomenon for academicians. The most papers were published in 2021, Small Business Economics and California Management Review are the most prolific journals, while Vismara S is the most significant author with 4 publications and 488 citations. Short JC, School of Management, Royal Holland and USA collaborate most. Cluster analysis of the study will help the future researcher to broaden the existing literature utilising the distinct topics. Research limitations/implications: This research aids entrepreneurs, academia, crowdfunding practitioners and policymakers in identifying application areas for crowdfunding. In conclusion, crowdfunding will enhance the entrepreneurial ecosystem. Originality/value: This study elaborates the significance of crowdfunding in the development of entrepreneurship, using SLR and bibliometric analysis. The study findings identified crowdfunding's usage, applications and potential future research areas, as well as evaluated, reviewed and assessed their significance in entrepreneurial development. The theme-based cluster was determined based on the frequency of occurrence of the keywords. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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