The Role of AI in Recruitment and Employee Development

  • Paul Regier
  • Lisa Salamonson Grace
Keywords: Artificial Intelligence, Employee Development, Global Companies, Recruitment, Talent Management

Abstract

Integrating Artificial Intelligence (AI) in talent management is reshaping the workforce landscape, especially for global companies in the United States. This study investigates how AI is transforming talent management processes, including recruitment, employee development, and performance management while exploring its implications for organizational efficiency, decision-making, and employee engagement. The research aims to understand the benefits and challenges of adopting AI tools in these processes, particularly in the context of U.S.-based multinational companies. A mixed-methods approach was used to gather data through surveys and interviews with HR professionals, business leaders, and employees in global companies. The study found that AI technologies have enhanced recruitment efficiency, improved employee skill alignment, and contributed to a more personalized employee experience. However, challenges such as resistance to change, ethical concerns regarding data privacy, and the need for employee training were noted. These findings suggest that while AI integration offers significant advantages, it requires careful implementation and ongoing adaptation. Future research should focus on long-term impacts, such as AI's influence on workforce diversity, job displacement, and its role in organizational culture. Further studies could explore the scalability of AI in talent management across different industries and its potential for enhancing global workforce collaboration.

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Author Biographies

Paul Regier

Raj Soin College of Business, Wright State University, Dayton, Ohio, United States.

Lisa Salamonson Grace

Raj Soin College of Business, Wright State University, Dayton, Ohio, United States.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 426
2023-12-14
    Downloads : 285
How to Cite
[1]
P. Regier and L. S. Grace, “The Role of AI in Recruitment and Employee Development”, Journal of Humanities and Social Sciences, vol. 5, no. 3, pp. 130-136, Dec. 2023.
Section
Articles

References

S. Rathore, “The impact of AI on recruitment and selection processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures,” International Journal for Global Academic & Scientific Research, vol. 2, no. 2, pp. 78–93, 2023.

S. Garg, S. Sinha, A. Kumar, and M. Mani, “A review of machine learning applications in human resource management,” International Journal of Productivity and Performance Management, vol. 71, no. 5, pp. 1590–1610, 2022.

R. H. Hamilton and H. K. Davison, “Legal and ethical challenges for HR in machine learning,” Employee Responsibilities and Rights Journal, vol. 34, no. 1, pp. 19–39, 2022.

K. K. R. Yanamala, “Strategic implications of AI integration in workforce planning and talent forecasting,” Journal of Advanced Computational Studies, 2024.

Vorecol, “The role of artificial intelligence in enhancing succession planning software,” [Online]. Available: https: //vorecol.com/blogs/blog-the-role-of-artificial-intelligence-in-enhancing-succession-planning-software-163934. [Accessed: Aug. 26, 2024].

S. K. Parasa and Consultant, “Impact of AI on strategic workforce planning,” Journal of Artificial Intelligence & Cloud Computing, vol. 2, no. 1, pp. 1–3, 2023.

R. Nyathani, “AI in performance management: Redefining performance appraisals in the digital age,” Journal of Artificial Intelligence & Cloud Computing, 2023.

A. L. Hunkenschroer and C. Luetge, “Ethics of AI-enabled recruiting and selection: A review and research agenda,” Journal of Business Ethics, vol. 178, pp. 977–1007, 2022.

N. Hollar, D. G. J. Kuchinka, and J. Feinberg, “Professional development opportunities and job satisfaction: A systematic review of research,” Journal of International Management Studies, vol. 22, no. 1, pp. 10–19, 2022.

H. H. H. Aldboush and M. Ferdous, “Building trust in fintech: An analysis of ethical and privacy considerations in the intersection of big data, AI, and customer trust,” International Journal of Financial Studies, vol. 11, no. 3, p. 90, 2023.

A. George and A. S. Hovan George, “A review of ChatGPT AI’s impact on several business sectors,” Partners Universal International Innovation Journal, vol. 1, pp. 9–23, 2023.

N. Maharjan, “AI recruitment chatbot: The modern way of hiring!” [Online]. Available: https: //www.aqore.com/ai-recruitment-chatbot-the-modern-way-of-hiring/. [Accessed: Aug. 26, 2024].

P. O. Odili, C. D. Daudu, A. Adefemi, and I. O. Ekemezie, “The impact of artificial intelligence on recruitment and selection processes in the oil and gas industry: A review,” Engineering Science & Technology Journal, vol. 5, no. 2, pp. 612–638, 2024.

Z. Chen, “Ethics and discrimination in artificial intelligence-enabled recruitment practices,” Humanities and Social Sciences Communications, vol. 10, 2023.

S. Morandini, F. Fraboni, M. De Angelis, and G. Puzzo, “The impact of artificial intelligence on workers’ skills: Upskilling and reskilling in organisations,” Informing Science: The International Journal of an Emerging Transdiscipline, vol. 26, pp. 39–68, 2023.