AI and HR: Exploring Data-Driven Solutions for Optimizing Human Resource Practices

Satuluri Padma

doi:10.55927/ajma.v3i3.11202

Authors

Satuluri Padma Amity University Maharashtra

DOI:

https://doi.org/10.55927/ajma.v3i3.11202

Keywords:

Artificial Intelligence, Human Resource Management, Practices, Recruitment and Selection

Abstract

This research seeks to explore the impact of Artificial Intelligence (AI) on Human Resource Management (HRM), with a particular focus on key areas such as recruitment, selection, and employee performance management. The study aims to identify effective AI tools that can be integrated into HR practices, thereby enhancing the efficiency and effectiveness of these processes. By examining how AI can streamline recruitment and selection, the research will offer insights into improving talent acquisition and ensuring better candidate-job fit. Moreover, the study will delve into AI's role in employee performance management, assessing how data-driven insights can optimize performance evaluations, goal setting, and employee development. Through a comprehensive analysis, the research will also address the long-term effects of integrating AI into HRM, particularly in relation to potential challenges and restrictions. The ultimate goal of this research is to provide a roadmap for leveraging AI to improve HR processes and management practices. By understanding the benefits and limitations of AI in HR, organizations can make informed decisions about adopting AI technologies, leading to more effective HR strategies and enhanced overall organizational performance.

Downloads

Download data is not yet available.

References

Agarwal A. (2022). AI adoption by human resource management: A study of its antecedents and impact on HR system effectiveness. Foresight, 25(1), 67–81. https://doi.org/10.1108/FS-10-2021-0199 Google Scholar

Agarwal S., Gupta A., Roshani P. (2023). Redefining HRM with artificial intelligence and machine learning. In In the adoption and effect of artificial intelligence on human resources management, Part A (pp. 1–13). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80382-027-920231001 Google Scholar

Albert E. T. (2019). AI in talent acquisition: A review of AI-applications used in recruitment and selection. Strategic HR Review, 18(5), 215–221. https://doi.org/10.1108/SHR-04-2019-0024 Google Scholar

Ardichvili A. (2022). The impact of artificial intelligence on expertise development: Implications for HRD. Advances in Developing Human Resources, 24(2), 78–98. https://doi.org/10.1177/15234223221077304, ISI, Google Scholar

Arslan A., Cooper C. D., Khan Z., Golgeci I., Ali I. (2021). Artificial intelligence and human workers interaction at team level: A conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower, 43(1), 75–88. https://doi.org/10.1108/IJM-01-2021-0052, Google Scholar

Bencsik A. (2021). The sixth generation of knowledge management - the headway of artificial intelligence. Journal of International Studies, 14(2), 84–101. https://doi.org/10.14254/2071-8330.2021/14-2/6, 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 Google Scholar

Bhattacharya S. (2021). AI in talent management for business excellence. In Industry 4.0 technologies for business excellence (pp. 255–266). CRC Press. https://doi.org/10.1201/9781003140474-15, Google Scholar

Buck B. R., Morrow J. (2018). AI, performance management and engagement: Keeping your best their best. Strategic HR Review. https://doi.org/10.1108/SHR-10-2018-145, Google Scholar

Buzko I., Dyachenko Y., Petrova M., Nenkov N., Tuleninova D., Koeva K. (2016). Artificial Intelligence technologies in human resource development. Computer Modelling and New Technologies, 20(2), 26–29., Google Scholar

Chamorro-Premuzic T., Polli F., Dattner B. (2019). Building ethical AI for talent management. Harvard Business Review, 21(November), 1–15. Google Scholar

Charlwood A. (2021). Artificial intelligence and talent management. In Digitalised talent management (pp. 122–136). Routledge. Crossref, Google Scholar

Chitrao P. V., Bhoyar P. K., Divekar R., Bhatt P. (2022). Study on use of artificial intelligence in talent acquisition. In 2022 interdisciplinary research in technology and management (IRTM), Kolkata, India, 24–26 Feb. 2022, pp. 1–8. https://doi.org/10.1109/IRTM54583.2022.9791659, Google Scholar

Chowdhury S., Dey P., Joel-Edgar S., Bhattacharya S., Rodriguez-Espindola O., Abadie A., Truong L. (2023). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899. https://doi.org/10.1016/j.hrmr.2022.100899, Google Scholar

Cucari N., Laviola F., Novic H., others. (2022). Artificial intelligence and human resource development: A literature review and research agenda. In Boosting knowledge and trust for a sustainable business, Electronic Conference Proceedings (pp. 139–150). Fondazione CUEIM. Google Scholar

Ekaningrum N. E., Hidayat M. S., Ekaningrum N. E., Hidayat M. S., Yuliaty F. (2023). Exploring the future of work: Impact of automation and artificial intelligence on employment. Endless: International Journal of Futures Studies, 6(1), 125–136. https://doi.org/10.54783/endlessjournal.v6i1.131, Google Scholar

Giraud L., Zaher A., Hernandez S., Akram A. A. (2022). The impacts of artificial intelligence on managerial skills. Journal of Decision Systems, 32(3), 566–599. https://doi.org/10.1080/12460125.2022.2069537, Google Scholar

Graßmann C., Schermuly C. C. (2021). Coaching with artificial intelligence: Concepts and capabilities. Human Resource Development Review, 20(1), 106–126. https://doi.org/10.1177/1534484320982891, ISI

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, 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, Google Scholar

Jacob Fernandes França T., Sāo Mamede H., Pereira Barroso J. M., Pereira Duarte dos Santos V. M. (2023). Artificial intelligence applied to potential assessment and talent identification in an organisational context. Heliyon, 9(4), e14694. https://doi.org/10.1016/j.heliyon.2023.e14694, PubMed, Google Scholar

Jaiswal A., Arun C. J., Varma A. (2022). Rebooting employees: Upskilling for artificial intelligence in multinational corporations. International Journal of Human Resource Management, 33(6), 1179–1208. https://doi.org/10.1080/09585192.2021.1891114, Google Scholar

Kabudi T., Pappas I., Olsen D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 100017. https://doi.org/10.1016/j.caeai.2021.100017, Google Scholar

Lilly A. J., Rajkumar R., Amudha R. (2022). Aggrandizing the human resource development with underpinning artificial intelligence. Journal of Statistics & Management Systems, 25(5), 1083–1094. https://doi.org/10.1080/09720510.2022.2040859, Google Scholar

Loon M., Stewart J., Nachmias S. (2020). The Future of HRD volume I. Springer. Crossref, Google Scholar

Odugbesan J. A., Aghazadeh S., Al Qaralleh R. E., Sogeke O. S. (2023). Green talent management and employees’ innovative work behavior: The roles of artificial intelligence and transformational leadership. Journal of Knowledge Management, 27(3), 696–716. https://doi.org/10.1108/jkm-08-2021-0601, Google Scholar

O’Leary D. E. (1998). Using AI in knowledge management: Knowledge bases and ontologies. IEEE Intelligent Systems and Their Applications, 13(3), 34–39. Crossref, ISI, Google Scholar

Panda A., Pasumarti S. S., Hiremath S. (2023). Adoption of artificial intelligence in HR practices: An empirical analysis. In The adoption and effect of artificial intelligence on human resources management (pp. 65–80). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80455-662-720230005, Google Scholar

Pathak S., Solanki V. K. (2021). Impact of internet of things and artificial intelligence on human resource development. In Further advances in internet of things in biomedical and cyber physical systems (pp. 239–267). Springer. Crossref, Google Scholar

Pedro F., Subosa M., Rivas A., Valverde P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO. Google Scholar

Pereira V., Hadjielias E., Christofi M., Vrontis D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857. https://doi.org/10.1016/j.hrmr.2021.100857 Google Scholar

Rodgers W., Murray J. M., Stefanidis A., Degbey W. Y., Tarba S. Y. (2023). An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes. Human Resource Management Review, 33(1), 100925. https://doi.org/10.1016/j.hrmr.2022.100925, 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, Google Scholar

Rožman M., Oreški D., Tominc P. (2023). Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment. Sustainability, 15(6), 5019. https://doi.org/10.3390/su15065019, Google Scholar

Saxena R., Kumar Y. (2020). Influence of artificial intelligence on work, people and the firm: A multi-industry perspective. In Human & technological resource management (HTRM): New insights into revolution 4.0 (pp. 111–132). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83867-223-220201007, Google Scholar

Smith R. G., Farquhar A. (2000). The road ahead for knowledge management: An AI perspective. AI Magazine, 21(4), 17. Google Scholar

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. https://doi.org/10.1016/j.hrmr.2015.01.002, Google Scholar

Su Z., Togay G., Côté A.-M. (2021). Artificial intelligence: A destructive and yet creative force in the skilled labour market. Human Resource Development International, 24(3), 341–352. https://doi.org/10.1080/13678868.2020.1818513, Google Scholar

Wilson H. J., Daugherty P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114–123. Google Scholar

Yorks L., Abel A. L., Rotatori D. (2022). Digitalization, artificial intelligence, and strategic HRD. In Strategic human resource development in practice: Leveraging talent for sustained performance in the digital age of AI (pp. 69–80). Springer. Crossref, Google Scholar