Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

Kyu Sung Kim (김규성); Kim Min Gyeong (김민경); Francis Joseph Costello (프란시스 조셉 코스텔로); Kun-Chang Lee (이건창)

doi:10.9708/jksci.2023.28.07.155

Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(7), pp.155-164
DOI : 10.9708/jksci.2023.28.07.155
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : June 19, 2023
Accepted : July 10, 2023
Published : July 31, 2023

Kyu Sung Kim ¹, Kim Min Gyeong ¹, Francis Joseph Costello ², Kun-Chang Lee ³

¹성균관대학교
²성균관대학교 경영대학 박사과정
³성균관대학교 글로벌경영학과/삼성융합의과학원 융합의과학과

Accredited

ABSTRACT

In this paper, we examine the influence of Environmental, Social, and Governance (ESG)-related content on the success of online crowdfunding proposals. Along with the increasing significance of ESG standards in business, investment proposals incorporating ESG concepts are now commonplace. Due to the ESG trend, conventional wisdom holds that the majority of proposals with ESG concepts will have a higher rate of success. We investigate by analyzing over 9000 online business presentations found in a Kickstarter dataset to determine which characteristics of these proposals led to increased investment. We first utilized lexicon-based measurement and Feature Engineering to determine the relationship between environment and society scores and financial indicators. Next, Logistic Regression is utilized to determine the effect of including environmental and social terms in a project's description on its ability to obtain funding. Contrary to popular belief, our research found that microentrepreneurs were less likely to succeed with proposals that focused on ESG issues. Our research will generate new opportunities for research in the disciplines of information science and crowdfunding by shedding new light on the environment of online micro-entrepreneurship.

KEYWORDS

Online crowdfunding platforms, ESG, Investment proposal, Funding Success, Text Mining Analysis

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Investigating the Influence of ESG Information on Funding Success in Online Crowdfunding Platform by Using Text Mining Technique and Logistic Regression

ABSTRACT

KEYWORDS

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