Asia pacific journal of information systems

  • 제34권1호
  • /
  • Pages.209-225
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  • 2024
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  • 2288-5404(pISSN)
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  • 2288-6818(eISSN)
한국경영정보학회 (The Korea Society of Management Information Systems)
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A Prediction of Work-life Balance Using Machine Learning

  • 투고 : 2021.10.09
  • 심사 : 2023.11.27
  • 발행 : 2024.03.31
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초록

This research aims to use machine learning technology in human resource management to predict employees' work-life balance. The study utilized a dataset from IBM Watson Analytics in the IBM Community for the machine learning analysis. Multinomial dependent variables concerning workers' work-life balance were examined, categorized into continuous and categorical types using the Generalized Linear Model. The complexity of assessing variable roles and their varied impact based on the type of model used was highlighted. The study's outcomes are academically and practically relevant, showcasing how machine learning can offer further understanding of psychological variables like work-life balance through analyzing employee profiles.

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참고문헌

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