[
Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR and analytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26(1), 1–11, https://doi.org/10.1111/1748-8583.12090.
]Search in Google Scholar
[
Bennett, E. E. (2022). Leveraging technology to design and deliver human resource development. In In the emerald handbook of work, workplaces and disruptive issues in HRM (pp. 261–276). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80071-779-420221026.
]Search in Google Scholar
[
Bhatt, P. K., Muduli, A. (2022). Artificial intelligence in learning and development: A systematic literature review. European Journal of Training and Development, 47(7/8), 677–694. https://doi.org/10.1108/EJTD-09-2021-0143, DOI: 10.1108/EJTD-09-2021-0143.
]Search in Google Scholar
[
Brynjolfsson, E., Wang, C., & Zhang, X. (2021). The economics of IT and digitization: Eight questions for research. MIS Quarterly, 45(1), 473–477.
]Search in Google Scholar
[
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9.
]Search in Google Scholar
[
Cheng, M. M., & Hackett, R. D. (2021). A critical review of algorithms in HRM: Definition, theory, and practice. Human Resource Management Review, 31(1), 100698. https://doi.org/10.1016/j.hrmr.2019.100698.
]Search in Google Scholar
[
Colomo-Palacios, R., González-Carrasco, I., López-Cuadrado, J.L. et al. (2014). ICompetere: Using applied intelligence in search of competency gaps in software project managers. Inf Syst Front 16, 607–625. https://doi.org/10.1007/s10796-012-9369-6.
]Search in Google Scholar
[
Gandini, A. (2019). Labour process theory and the gig economy. Human Relations, 72(6), 1039–1056. https://doi.org/10.1177/0018726718790002.
]Search in Google Scholar
[
George, G., Haas, M. R., & Pentland, A. (2014). Big Data and management. Academy of Management Journal, 57(2), 321–326, https://doi.org/10.5465/amj.2014.4002.
]Search in Google Scholar
[
Harrison, P., Nichol, L., Gold, J. (2020). Redefining HRD roles and practice in the machine learning revolution. In The Future of HRD, Volume I: Innovation and Technology (pp. 143–166). Springer Nature. https://doi.org/10.1007/978-3-030-52410-4_6.
]Search in Google Scholar
[
Huang, J., Saleh, S., Liu, Y. (2021). A review on artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3), 206–206. https://doi.org/10.36941/ajis-2021-0077.
]Search in Google Scholar
[
Kim, S. (2022). Working with robots: Human resource development considerations in human robot interaction. Human Resource Development Review, 21(1), 48–74. https://doi.org/10.1177/15344843211068810.
]Search in Google Scholar
[
Laney, D. (2001). 3D data management: Controlling data volume, velocity and variety. META Group Research Note (February 2001).
]Search in Google Scholar
[
Lin, C., Hsu, M. (2010). Holistic decision system for human resource capability identification. Industrial Management & Data Systems, Vol. 110 No. 2, pp. 230-248. https://doi.org/10.1108/02635571011020322.
]Search in Google Scholar
[
Meijerink, J., Bondarouk, T. (2023). The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation. Human Resource Management Review, 100876. https://doi.org/10.1016/j.hrmr.2021.100876.
]Search in Google Scholar
[
Meijerink, J., Boons, M., Keegan, A., & Marler, J. (2021). Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM. The International Journal of Human Resource Management, 32(12), 2545–2562. https://doi.org/10.1080/09585192.2021.1925326.
]Search in Google Scholar
[
Roschelle, J., Lester, J. E., & Fusco, J. L. (2020). AI and the future of learning: Expert panel report. Digital Promise. https://doi.org/10.51388/20.500.12265/106.
]Search in Google Scholar
[
Saling, K. C., Do, M. D. (2020). Leveraging people analytics for an adaptive complex talent management system. Procedia Computer Science, 168(January), 105–111. https://doi.org/0.1016/j.procs.2020.02.269.
]Search in Google Scholar
[
Sathe, T. M. (2020). Artificial Intelligence Influenced Learning and Development in the Accounting Sector. (Master’s thesis, National College of Ireland). Under the supervision of Dr. K. M. Ebenade. https://norma.ncirl.ie/5913/.
]Search in Google Scholar
[
Strohmeier, S. (2018). Smart HRM–a Delphi study on the application and consequences of the internet of things in human resource management. The International Journal of Human Resource Management, 1–30, https://doi.org/10.1080/09585192.2018.1443963.
]Search in Google Scholar
[
Veen, A., Barratt, T., & Goods, C. (2019). Platform-capital’s ‘app-etite’ for control: A labour process analysis of food-delivery work in Australia. Work, Employment and Society, 34(3), 388–406, https://doi.org/10.1177/09500170198369.
]Search in Google Scholar
[
Vencat, E. F. (2006). The Power of We; Companies are using YouTube-like technology to tap the ideas and energy of employees. Newsweek (International ed.). Retrieved from ProQuest Canadian Business & Current Affairs Database (November 20).
]Search in Google Scholar
[
Walker, J. (2012). Meet the new boss: Big data. Wall Street Journal. https://doi.org/10.1016/j.ssresearch.2010.05.001.
]Search in Google Scholar
[
Walter, D. (2018). Microsoft workplace analytics: How your business can benefit. Business News Daily. https://www.businessnewsdaily.com/11092-microsoft-workplace-analytics-business.html
]Search in Google Scholar
