earticle

논문검색

A computational text mining approach to exploring the significance of presenting environmental and social issues in online crowdfunding business pitches

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.