Zobrazeno 1 - 6 of 6 pro vyhledávání: '"Jungryeol Park"'
1
Akademický článek
Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks
Autor: Jungryeol Park, Saesol Choi, Yituo Feng
Publikováno v: Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract The success of newly established companies holds significant implications for community development and economic growth. However, startups often grapple with heightened vulnerability to market volatility, which can lead to early-stage failur
Externí odkaz: https://doaj.org/article/9fd71ad0e2ea455daf4ecbf04fe4d0a2
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2
Akademický článek
Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques
Autor: Jungryeol Park, Yituo Feng, Seon-Phil Jeong
Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In recent years, the turnover phenomenon of new college graduates has been intensifying. The turnover of new employees creates many difficulties for businesses as it is difficult to recover the costs spent on their hiring and training. There
Externí odkaz: https://doaj.org/article/06f6602c1873480c8ccf2ab4c54e2c1d
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3
Akademický článek
A study on improving turnover intention forecasting by solving imbalanced data problems: focusing on SMOTE and generative adversarial networks
Autor: Jungryeol Park, Sundong Kwon, Seon-Phil Jeong
Publikováno v: Journal of Big Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract This study aims to improve the accuracy of forecasting the turnover intention of new college graduates by solving the imbalance data problem. For this purpose, data from the Korea Employment Information Service's Job Mobility Survey (Graduat
Externí odkaz: https://doaj.org/article/17ac12b1faeb4b60a965412043a67a24
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4
Akademický článek
Using machine learning-based binary classifiers for predicting organizational members’ user satisfaction with collaboration software
Autor: Yituo Feng, Jungryeol Park
Publikováno v: PeerJ Computer Science, Vol 9, p e1481 (2023)
Background In today’s digital economy, enterprises are adopting collaboration software to facilitate digital transformation. However, if employees are not satisfied with the collaboration software, it can hinder enterprises from achieving the expec
Externí odkaz: https://doaj.org/article/b4436518154c4fdda507f361a905a987
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5
Akademický článek
What is holding back business process virtualization in the post-COVID-19 era? Based on process virtualization theory (PVT)
Autor: Yituo Feng, Jungryeol Park, Miao Feng
Publikováno v: Frontiers in Psychology, Vol 14 (2023)
The post-pandemic COVID-19 has been influential in accelerating the digital transformation of enterprises and business process virtualization. However, in a virtual working environment with no physical interaction, the psychological requirements of t
Externí odkaz: https://doaj.org/article/ef9f0720e71049c187d2bd27971dfb2f
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