THE ROLE OF ARTIFICIAL INTELLIGENCE IN TALENT ACQUISITION AND HR DECISION-MAKING: A BIBLIOMETRIC REVIEW OF STUDY CASES
Keywords:
Artificial Intelligence; Decision Making; Human Resource Management; Talent AcquisitionAbstract
This study investigates the impediments that artificial intelligence (AI) encounters during talent acquisition and the consequences of employing AI in talent acquisition. The advantages of utilizing AI in talent acquisition encompass the ability to identify AI vendors and companies that have integrated AI into their talent acquisition, investigating the current state of AI to streamline talent acquisition, and evaluating the effects of implementing AI in talent acquisition. This study examines various perspectives, theories, concepts, and viewpoints to regulate the application of artificial intelligence (AI) in human resource management. It draws upon papers published between 1988 and 2020. The results suggest that artificial intelligence is primarily implemented in high-tech or large corporations. The reports provided by these companies regarding the utilization of AI need to accurately depict the extent of its usage and comprehensive evaluation, as interviews are still incorporated into the talent acquisition process, allowing for the potential influence of human bias. Examining how AI can assist human resources in decision-making without posing a threat of replacing human roles in human resource management should be thoroughly investigated.
References
Abdeldayem, M. M., & Aldulaimi, S. H. (2020). Trends And Opportunities Of Artificial Intelligence In Human Resource Management: Aspirations For Public Sector In Bahrain.
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
Barboza, C. (2019). Artificial Intelligence and Hr: The New Wave of Technology. Journal of Advances in Social Science and Humanities, 5, 715–720.
Chin, C., & Rothmann. (2019). Assessing employer intent when AI hiring tools are biased. Brookings. https://www.brookings.edu/articles/assessing-employer-intent-when-ai-hiring-tools-are-biased/
Deshpande, A. (2018). Talent Acquisition through Technology. IOSR Journal of Business and Management (IOSR-JBM), 72–79.
Farokhmanesh, M. (2019). The next frontier in hiring is AI-driven. The Verge. https://www.theverge.com/2019/1/30/18202335/ai-artificial-intelligence-recruiting-hiring-hr-bias-prejudice
Guenole, N., & Feinzig, S. (2018). The business case for AI in HR. IBM Insights and Tips on Getting Started ….
Hr-on. (2014). The future of recruitment and job searches lies with artificial intelligence and machine learning. And Google has already got the ball rolling. https://hr-on.com/google-plans-to-use-ai-to-conquer-the-job-market/
Johansson, J., Herranen, S., & Mccauley, B. (2019). The application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process. Bachelorarbeit, May, 0–60.
Krapivin, P. (2018). How Google Is Using AI To Power Internal Talent Deployment. Forbes. https://www.forbes.com/sites/pavelkrapivin/2018/10/01/how-google-is-using-ai-to-power-internal-talent-deployment/?sh=588c52651662
Ochmann, J., & Laumer, S. (2019). Fairness as a determinant of AI Adoption in Recruiting: An interview-based study.
Prastiyo, W. E., & Suartha, I. D. M. (2021). Debt Collection Violations in Financial Technology in a Cyber-ethic and Legal Perspective. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 6(1), 13–21.
R, Geetha., B. D. (2018). Recruitment through Artifical Intelligence: A Conceptual Study. International Journal of Mechanical Engineering and Technology (IJMET, 9(7), 63–70.
Sufa, S. A., Octavianti, M., Riyadi, S., & Raharja, A. (2019). Innovation of Eduwisata Kampoeng Batik Sidoarjo through the Utilization of Website Technology as a Promotional Media. Media Mahardhika, 18(1), 128–137.
Wesche, J. S., & Sonderegger, A. (2019). When computers take the lead: The automation of leadership. Computers in Human Behavior, 101(July 2019), 197–209. https://doi.org/10.1016/j.chb.2019.07.027







