Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Developing Scenarios for the Use of Artificial Intelligence in Human Resource Recruitment in Iran

Document Type : Original Article

Authors
A. A. Rouhani 1
B. Amin-Kazemi 2
M.R. Arasteh 3
1 PhD in Public Administration, Islamic Azad University, Rafsanjan, Iran
2 M.A. in International Business Management, Payam Noor University, Kish International Campus, Kish, Iran
3 PhD Candidate in Business Administration, Islamic Azad University, Central Tehran Branch, Tehran, Iran
10.47176/TDASS.2024.185
Abstract
Undoubtedly, skilled and talented individuals, when considering joining an organization or taking on a new role, reflect on the organization’s technological level, culture, leadership, and ethical climate to determine whether they can adapt to such an environment. A significant shortcoming in many companies is the inefficiency in attracting and selecting top talent. These organizations often invest substantial time in the recruitment process, yet their existing mechanisms lack the appeal necessary to draw in qualified candidates resulting in limited success in talent acquisition. This study aims to explore the role of artificial intelligence in the future of human resource recruitment in Iran. Through a thorough review of the relevant literature and expert interviews, the research identifies key variables influencing the recruitment process. Using the cross-impact analysis approach, the collected data were analyzed with MICMAC software, which revealed five critical drivers shaping the future of talent acquisition in the context of AI integration: data authenticity, access to job resources, resistance to change, cultural adaptation, and the complexity of AI-driven recruitment processes. These five key factors were further analyzed using Scenario Wizard software to construct plausible future scenarios. Experts completed uncertainty-based questionnaires to feed into the scenario-building process. As a result, the most compatible and strategic scenarios for the future of human resource recruitment alongside AI technologies were identified. Ultimately, after consulting with domain experts, the study culminated in the development of three main future scenarios.
Keywords
Artificial Intelligence
Future of Human Resources
Talent Acquisition
Scenario Development
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Transactions on Data Analysis in Social Science
Volume 6, Issue 3
Summer 2024
Pages 185-197

  • Receive Date 26 May 2024
  • Revise Date 03 August 2024
  • Accept Date 17 September 2024