• Title of article

    A Model for Talent Discovery and Recruitment Management in Banks Using Artificial Intelligence

  • Author/Authors

    Omidiparsa ، Azar Department of Management - Islamic Azad University, North Tehran Branch , Sheikholeslami Kandelousi ، Nader Department of Management - Islamic Azad University, North Tehran Branch

  • From page
    16
  • To page
    47
  • Abstract
    The importance of using artificial intelligence in human resource management is undeniable issue, and therefore, over time, most human resource managers will turn to using this technology, but the model of using artificial intelligence for talent discovery and hiring management is not yet clear for some organizations, and banks are no exception either. Therefore, in this research, a qualitative quantitative model had been designed for talent discovery and recruitment management in banks using artificial intelligence. At first, using literature review, 65 factors constituting talent discovery and hiring management were obtained, and then using Delphi technique, these 65 factors were reduced to 57 factors, then validation of related factors was done and it was shown that all factors in the banking content have credibility. Finally, nine main dimensions for talent discovery model and AI-based hiring management were identified in the banking industry, including cultural, human resources, and strategic managerial, individual, business, social, organizational and occupational dimensions.
  • Keywords
    Talent Discovery , Recruitment Management , Artificial Intelligence , Bank
  • Journal title
    International journal of industrial engineering and operational research
  • Journal title
    International journal of industrial engineering and operational research
  • Record number

    2765309