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People Analytics in Digital Era

  • Dongwon Lee (Business School, Korea University) ;
  • Taekyung Kim (Big Data Analytics, School of Management, Kyung Hee University) ;
  • Gunwoong Lee (Business School, Korea University)
  • 발행 : 2023.12.31

초록

키워드

참고문헌

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  5. Giermindl, L. M., Strich, F., Christ, O., LeichtDeobald, U., and Redzepi, A. (2022). The dark sides of people analytics: Reviewing the perils for organisations and employees. European Journal of Information Systems, 31(3), 410-435. https://doi.org/10.1080/0960085X.2021.1927213
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  8. Martin, I. W. R., and Nagel, S. (2022). Market efficiency in the age of big data. Journal of Financial Economics, 145(1), 154-177. https://doi.org/10.1016/j.jfineco.2021.10.006
  9. Pessach, D., Singer, G., Avrahami, D., Ben-Gal, H. C., Shmueli, E., and Ben-Gal, I. (2020). Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. Decision Support Systems, 134, 113290.
  10. Salganik, M. J. (2019). Bit by Bit: Social Research in the Digital Age. Princeton, NJ: Princeton University Press.
  11. Saxena, M., Bagga, T., and Gupta, S. (2021). Fearless path for human resource personnel's through analytics: A study of recent tools and techniques of human resource analytics and its implication. International Journal of Information Technology, 13(4), 1649-1657. https://doi.org/10.1007/s41870-021-00677-z
  12. Tambe, P., Cappelli, P., and Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42. https://doi.org/10.1177/0008125619867910
  13. Tursunbayeva, A., Pagliari, C., Di Lauro, S., and Antonelli, G. (2021). The ethics of people analytics: risks, opportunities, and recommendations. Personnel Review, 51(3), 900-921. https://doi.org/10.1108/PR-12-2019-0680
  14. Yoon, S. W. (2021). Explosion of people analytics, machine learning, and human resource technologies: Implications and applications for research. Human Resource Development Quarterly, 32(3), 243-250. https://doi.org/10.1002/hrdq.21456