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Analyzing the positive ESG image factors of startups using big data analysis

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2022, 18(2), pp.189-199
  • DOI : 10.29056/jsav.2022.12.19
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : December 11, 2022
  • Accepted : December 20, 2022
  • Published : December 31, 2022

Kim Dae Yu 1 Bae, Jang Won 2

1남서울대학교
2한국기술교육대학교

Accredited

ABSTRACT

The purpose of this study is to analyze the positive ESG image factors of start-ups using big data analysis technology in the era of the 4th industrial revolution to provide positive solutions for education and preparation of prior learning. In terms of ESG we provide a stable management solution based on the results of big data cloud word analysis through Python coding of ESG(Environmental-Social-Governance) start-up related data that management activities should contribute to the continuous development of society. As a result of the research, the main keywords of the MZ generation preparing to start a business are identified in the order of company, support, business and society, investment, management, etc., suggesting careful consideration in preparing for starting a business. For MZ generation members preparing to start a business, we will minimize failures and contribute to solving employment, which is a major social issue, through big data technology management. In the future research direction, it will be necessary to prove the positive impact of ESG start-ups by specifying key keywords as variables, correlation of adjustment and mediating effects, factor analysis, reliability analysis, and regression analysis.

Citation status

* References for papers published after 2022 are currently being built.