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Examining the Effects of Vocabulary on Crowdfunding Success : A Comparison of Cultural and Commercial Campaigns

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    Asia Pacific Journal of Information Systems KCI 등재 SCOPUS 바로가기
  • 통권
    제32권 제2호 (2022.06)바로가기
  • 페이지
    pp.275-306
  • 저자
    Xiang Gao, Weige Huang, Bin Li, Sunghan Ryu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A414910

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원문정보

초록

영어
Crowdfunding has emerged as an important financing source for diverse cultural projects and commercial ventures in the early stages. Unlike traditional investment evaluation, where structured financial data is critical, such information is typically unavailable for crowdfunding campaigns. Instead, campaign creators prepare pitches containing essential information about themselves and the campaigns, which are crucial in attracting and persuading contributors. Prior literature has examined the effects of different aspects in campaign pitches, but a comprehensive understanding of the theme is lacking. This study aims to fill this gap by identifying the lexicon of frequently used vocabulary in campaign pitches and examining how they are associated with crowdfunding success. Moreover, we examine how the association differs between culture and commercial crowdfunding campaigns. We randomly collected 50,000 campaigns from the cultural and commercial categories on Kickstarter and extracted the 100 most used verbs in the campaign pitches. Based on a machine learning approach combined with principal component analysis, we constructed sets of verbal factors statistically significant in predicting crowdfunding success. The findings also show that cultural and commercial campaigns consist of different verbal components with different effects on crowdfunding success.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review
2.1. Notions of Crowdfunding
2.2. Success Factors of Crowdfunding Campaigns
2.3. Effects of Crowdfunding Campaign Pitch
2.4. Linguistic Cues in Crowdfunding Projects
Ⅲ. Theoretical Framework
Ⅳ. Empirical Setting
4.1. Data
4.2. Variables
4.3. Analysis Method
Ⅴ. Results
5.1. Baseline Results (Full Sample)
5.2. Heterogeneity Analysis (Commercial vs. Cultural Subgroup)
5.3. The Role of Adjectives and Nouns
5.4. Additional controls
Ⅵ. Discussion and Conclusion

키워드

Crowdfunding Campaign Pitch Creator Lexicon Analysis Machine Learning

저자

  • Xiang Gao [ Associate Professor, Research Center of Finance, Shanghai Business School, China ]
  • Weige Huang [ Assistant Professor, Wenlan School of Business, Zhongnan University of Economics and Law, China ]
  • Bin Li [ Assistant Professor, Raj Soin College of Business, Wright State University, USA ]
  • Sunghan Ryu [ Associate Professor, USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, China ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    Asia Pacific Journal of Information Systems
  • 간기
    계간
  • pISSN
    2288-5404
  • eISSN
    2288-6818
  • 수록기간
    1990~2026
  • 등재여부
    KCI 등재,SCOPUS
  • 십진분류
    KDC 325 DDC 658

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