Artificial Intelligence Shaping Talent Intelligence and Talent Acquisition for Smart Employee Management
DOI:
https://doi.org/10.4108/eetiot.4642Keywords:
TI, Talent Intelligence, TA, Talent Acquisition, AI, Artificial Intelligence, ATS, Application Tracking System, Smart Employee ManagementAbstract
INTRODUCTION: Due to the increased importance of artificial intelligence (AI) in talent intelligence (TI), and TI in talent acquisition (TA), this paper shows how AI improves the TI and consequently, the TA process of an organization.
OBJECTIVES: The objectives of this paper are to understand the evolution of AI-driven TI concepts and explore the role of AI in TI.
METHODS: Primary and secondary data were used for research and analysis was performed using SPSS. Primary data was collected through a survey of 20 HR managers from 20 companies in Delhi-NCR. These 20 managers were selected through random sampling method and from them the data on role of AI in TI and TA was collected using a questionnaire. Secondary data through literature review was used to explore TI.
RESULTS: The paper not only brings out the role of AI in TI, but also elaborates the TI concept. From the survey data of HR managers, and secondary data, it is understood that AI contributes to TI of an organization, which helps in making TA more effective and efficient.
CONCLUSION: AI enables better TI, which improves TA processes of an organization Thus, AI contributes to the TA of an organization.
Downloads
References
Chamorro-Premuzic, T, Polli, F, Dattner, B. Building ethical AI for talent management. Harvard Business Review. 2019; 21
Charlwood, A, Guenole, N. Can HR adapt to the paradoxes of artificial intelligence? Human Resource Management Journal. 2022; DOI: https://doi.org/10.1111/1748-8583.12433
Davenport, T. H, Ronanki, R. Artificial intelligence for the real world. Harvard Business Review. 2018; 96(1):108-116.
Depietro, R, Wiarda, E, Fleischer, M. The context for change: Organization, technology and environment. The processes of technological innovation. 1990; 199: 151-175.
Fritts, M., Cabrera, F. AI recruitment algorithms and the dehumanization problem. Ethics and Information Technology. 2021; 23(4): 791-801. DOI: https://doi.org/10.1007/s10676-021-09615-w
Gareth Bell, I.: How talent intelligent is your organization? An interview with Nik Kinley and Shlomo Ben-Hur, authors of Talent Intelligence: What You Need to Know to Identify and Measure Talent. Development and Learning in Organizations. 2014; 28(1): 29-31. DOI: https://doi.org/10.1108/DLO-12-2013-0096
Kaushal, N, Kaurav, R. P. S, Sivathanu, B, Kaushik, N. Artificial intelligence and HRM: Identifying future research Agenda using systematic literature review and bibliometric analysis. Management Review Quarterly. 2023; 73(2):455-493. DOI: https://doi.org/10.1007/s11301-021-00249-2
Joshi, K, Goel, A. K, Kumar, T. Online Career Counsellor System based on Artificial Intelligence: An approach. 7th International Conference on Smart Structures and Systems (ICSSS); 2020. DOI: https://doi.org/10.1109/ICSSS49621.2020.9202024
Kelly, J. Billion-dollar unicorn and artificial intelligence career-tech startup is improving the job search experience. Forbes.com. 2021.
Springworks: How to use chatgpt for recruitment in 2023. https://community.nasscom.in/communities/ai/how-use-chatgpt-recruitment-2023. 2023.
Shrestha, Y. R, Ben-Menahem, S. M, Von Krogh, G. Organizational decision-making structures in the age of artificial intelligence. California Management Review. 2019; 61(4): 66-83. DOI: https://doi.org/10.1177/0008125619862257
Tambe, P, Cappelli, P, Yakubovich, V. Artificial intelligence in human resources management: Challenges and a path forward. California Management Review. 2019; 61(4):15-42. DOI: https://doi.org/10.1177/0008125619867910
Van den Broek, E, Sergeeva, A, Huysman, M. When the Machine Meets the Expert: An Ethnography of Developing AI for Hiring. MIS quarterly. 2021; 45(3). DOI: https://doi.org/10.25300/MISQ/2021/16559
Vrontis, D, Christofi, M, Pereira, V, Tarba, S, Makrides, A, Trichina, E. Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management. 2022; 33(6):1237-1266. DOI: https://doi.org/10.1080/09585192.2020.1871398
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 EAI Endorsed Transactions on Internet of Things
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.
