참고문헌
- Agrawal, A., Gans, J., and Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Boston, MA: Harvard Business Review Press.
- Agrawal, A., Gans, J., and Goldfarb, A. (2022). Power and Prediction: The Disruptive Economics of Artificial Intelligence. Boston, MA: Harvard Business Review Press.
- Davenport, T., and Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94-98. https://doi.org/10.7861/futurehosp.6-2-94
- Erevelles, S., Fukawa, N., and Swayne, L. (2016). Big data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904. https://doi.org/10.1016/j.jbusres.2015.07.001
- 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
- Kahneman, D., Sibony, O., and Sunstein, C. R. (2021). Noise: A Flaw in Human Judgment. Boston, MA: Little, Brown.
- Levenson, A., and Fink, A. (2017). Human capital analytics: too much data and analysis, not enough models and business insights. Journal of Organizational Effectiveness, 4(2), 145-156. https://doi.org/10.1108/JOEPP-03-2017-0029
- 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
- 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.
- Salganik, M. J. (2019). Bit by Bit: Social Research in the Digital Age. Princeton, NJ: Princeton University Press.
- 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
- 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
- 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
- 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