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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

A Meta-Analysis Study on the Factors Influencing Entrepreneurship Performance in the Beauty Industry

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2025, v.23 no.2, pp.77-89
https://doi.org/10.15722/jds.23.02.202502.77
Hye Jeong KOO (Dongguk University)
Ki Han KWON (Kookmin University)

Abstract

Purpose: This paper is a meta-analysis of the relationship between entrepreneurship performance in the beauty industry and its success factors, examining key factors for success in the beauty industry and offering practical findings for the field. Research design, data, and methodology: In this study, selected papers were coded based on predetermined criteria to perform the meta-analysis. The coding items included researcher, publication year, correlation coefficients, sample size, characteristics, and study type. Using this data, a meta-analysis was conducted with the Comprehensive Meta-Analysis (CMA) Version 3 software developed by Biostat in the United States. Results: The analysis model was tested for homogeneity, and the overall mean effect size was calculated. Publication bias was assessed using a Funnel plot, and a meta-regression analysis based on the publication year was conducted, yielding significant results. Conclusions: This study analyzed key factors influencing entrepreneurship performance in the beauty industry but has limitations such as reliance on domestic research and exclusion of qualitative factors. Future research should incorporate global data, compare subfields within the beauty industry, and combine qualitative and quantitative methods. It should also investigate the impact of advanced technologies and government policies on the performance of entrepreneurship in the beauty industry, including services and goods, for deeper insights.

keywords
Beauty Industry, Entrepreneurial Performance, Success Factors in Entrepreneurship Performance, Meta-Analysis
Submission Date
2024-12-31
Revised Date
2025-01-16
Accepted Date
2025-02-05

The Journal of Distribution Science