Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 5
93. Sivaraman, A. (2020). Soft Side of Digital Transformation: The Connected Employee. South Asian Journal of Human Resources Management , 7 (1), 121-128. 94. Sivathanu, B., & Pillai, R. (2018). Smart HR 4.0–how industry 4.0 is disrupting HR. Human Resource Management International Digest. 95. Smith, C. (2019). An employee's best friend? How AI can boost employee engagement and performance. Strategic HR Review, 18 ( 1), 17-20. 96. Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25 (2), 216–231. 97. Strohmeier, S., & Piazza, F. (2015). Artificial intelligence techniques in human resource management—a conceptual exploration. Intelligent techniques in engineering management , 149-172. Springer, Cham. 98. Subramanian, N., & Ramanathan, R. (2012). A review of applications of Analytic Hierarchy Process in operations management. International Journal of Production Economics , 138 (2), 215-241. 99. Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61 (4), 15-42. 100. Thite, M. (Ed). (2018). E-HRM: Digital approaches, directions & applications . Routledge. 101. Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: implications for recruitment. Strategic HR Review . 102. Upadhyay, A. K., & Khandelwal, K. (2019). Artificial intelligence-based training learning from application. Development and Learning in Organizations: An International Journal. 103. Van Eck, N. J., & Waltman, L. (2010). Software survey: VOS viewer, a computer program for bibliometric mapping. Scientometrics, 84 (2 ) , 523– 538. 104. Vahdat, S. (2021). The role of IT-based technologies on the management of human resources in the COVID-19 era. Kybernetes . 105. Van Esch, P., & Black, J. S. (2019). Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting. Business Horizons , 62 (6), 729-739. 106. Walford-Wright, G., & Scott-Jackson, W. (2018). Talent Rising; people analytics and technology driving talent acquisition strategy. Strategic HR Review . 107. Wang, T., & Lin, J. (2020). Research and application of practice teaching reform of HRM major under the background of AI. In 2020 International Conference on Big Data and Informatization Education (ICBDIE) . IEEE. 108. Xu, J., Wang, B., & Min, G. (2019). Research on Human Resource Allocation Model Based on SOM Neural Network. International Journal of Mobile Computing and Multimedia Communications (IJMCMC) , 10 (1), 65-76. 109. Ye, Y., Zhu, H., Xu, T., Zhuang, F., Yu, R., & Xiong, H. (2019). Identifying high potential talent: A neural network based dynamic social profiling approach. In 2019 IEEE International Conference on Data Mining (ICDM) , 718-727. IEEE. 110. Zehir, C., Karaboğa, T. & Başar, D. (2020). The Transformation of Human Resource Management and Its Impact on Overall Business Performance: Big Data Analytics and AI Technologies in Strategic HRM. In Digital Business Strategies in Blockchain Ecosystems , 265-279. Springer, Cham. 111. Zupic, I. & Cater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18 (3), 429-472. Research on Artificial Intelligence in Human Resource Management: Trends and Prospects 46 Global Journal of Management and Business Research Volume XXIII Issue V Version I Year 2023 ( ) A © 2023 Global Journals
RkJQdWJsaXNoZXIy NTg4NDg=