A computational text mining approach to exploring the significance of presenting environmental and social issues in online crowdfunding business pitches
Kyu Sung Kim, Min Gyeong Kim, Francis Joseph Costello, Kun Chang Lee
언어
영어(ENG)
URL
https://www.earticle.net/Article/A416355
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초록
영어
The Environmental, Social, and Governance (ESG) metric is currently the gold standard for assessing how large corporations perform in these three areas of their daily operations. Despite the effectiveness of ESG in analyzing large corporations, little attention has been paid to micro-level research. Investment proposals that include ESG concepts are becoming more common, with major platforms encouraging entrepreneurs to consider these issues in their pitches. As a result, the conventional wisdom regarding these proposals is that the majority of them will result in a higher success rate due to the ESG trend. We investigate whether this is true by analyzing a Kickstarter dataset containing over 9000 online entrepreneurial pitches. To determine which characteristics of these entrepreneurial proposals resulted in increased investment, we used Ordinary Least Squares (OLS) and Logistic Regression. Contrary to popular belief, our findings revealed that using ESG themes in micro-entrepreneurial pitches increased the likelihood of failure..
목차
Abstract Introduction Literature review Crowdfunding and entrepreneurial pitches Environmental and social in the crowdfunding environment Dataset and Variable Construction Data description Text-based Feature Extraction Empirical Analysis and Results Discussion and Conclusion Limitations and Future research Acknowledgments References
Kyu Sung Kim [ Student, SKK Business School, Sungkyunkwan University, Seoul, Korea ]
Min Gyeong Kim [ Student, SKK Business School, Sungkyunkwan University, Seoul, Korea ]
Francis Joseph Costello [ Student, SKK Business School, Sungkyunkwan University, Seoul, Korea ]
Kun Chang Lee [ Professor, SKK Business School/SAIHST (Samsung Advanced Institute of Health Sciences & Technology), Sungkyunkwan University, Seoul, Korea ]
Corresponding author