@article{ART002908099},
author={Kim Dae Yu and Bae, Jang Won},
title={Analyzing the positive ESG image factors of startups using big data analysis},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2022},
volume={18},
number={2},
pages={189-199},
doi={10.29056/jsav.2022.12.19}
TY - JOUR
AU - Kim Dae Yu
AU - Bae, Jang Won
TI - Analyzing the positive ESG image factors of startups using big data analysis
JO - Journal of Software Assessment and Valuation
PY - 2022
VL - 18
IS - 2
PB - Korea Software Assessment and Valuation Society
SP - 189
EP - 199
SN - 2092-8114
AB - 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.
KW - Big Data;Python;Coding;ESG;Entrepreneurship;Management
DO - 10.29056/jsav.2022.12.19
ER -
Kim Dae Yu and Bae, Jang Won. (2022). Analyzing the positive ESG image factors of startups using big data analysis. Journal of Software Assessment and Valuation, 18(2), 189-199.
Kim Dae Yu and Bae, Jang Won. 2022, "Analyzing the positive ESG image factors of startups using big data analysis", Journal of Software Assessment and Valuation, vol.18, no.2 pp.189-199. Available from: doi:10.29056/jsav.2022.12.19
Kim Dae Yu, Bae, Jang Won "Analyzing the positive ESG image factors of startups using big data analysis" Journal of Software Assessment and Valuation 18.2 pp.189-199 (2022) : 189.
Kim Dae Yu, Bae, Jang Won. Analyzing the positive ESG image factors of startups using big data analysis. 2022; 18(2), 189-199. Available from: doi:10.29056/jsav.2022.12.19
Kim Dae Yu and Bae, Jang Won. "Analyzing the positive ESG image factors of startups using big data analysis" Journal of Software Assessment and Valuation 18, no.2 (2022) : 189-199.doi: 10.29056/jsav.2022.12.19
Kim Dae Yu; Bae, Jang Won. Analyzing the positive ESG image factors of startups using big data analysis. Journal of Software Assessment and Valuation, 18(2), 189-199. doi: 10.29056/jsav.2022.12.19
Kim Dae Yu; Bae, Jang Won. Analyzing the positive ESG image factors of startups using big data analysis. Journal of Software Assessment and Valuation. 2022; 18(2) 189-199. doi: 10.29056/jsav.2022.12.19
Kim Dae Yu, Bae, Jang Won. Analyzing the positive ESG image factors of startups using big data analysis. 2022; 18(2), 189-199. Available from: doi:10.29056/jsav.2022.12.19
Kim Dae Yu and Bae, Jang Won. "Analyzing the positive ESG image factors of startups using big data analysis" Journal of Software Assessment and Valuation 18, no.2 (2022) : 189-199.doi: 10.29056/jsav.2022.12.19
