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Adoption of AI for Talent Acquisition in the IT industry of Pakistan

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  • Sh. M. Fakhre Alam Siddiqui
  • Hammad Zafar
  • Rimsha Siddiqui

Abstract

The adaptation and use of artificial intelligence has exponentially increased overtime and that is not limited to any single industry. Companies have incorporated AI to streamline and enhance their Talent Acquisition processes. The objective of the research was to examine the effect of perceived value on adoption of AI in talent Acquisition and to identify the function of moderating variable of HR Readiness in relation with intention to adopt AI. A structured 5-point Likert scale questionnaire was circulated amongst employees of IT department and the HR department in IT companies of Pakistan. A total of 70 responses were collected. The research paper used the Value-Based Adoption Model (VAM) as it concentrates on the intention of recent technology and how it talks about the concern of prospective adapters. To develop and evaluate the data, Partial least squares structural equation modeling (PLS-SEM) was used on the SMART PLS software. In this research, purposive sampling technique was used as the study revolved around gathering data from the selected individuals based on the predetermined criteria. The findings of the study showed that perceived value has a significant positive relationship with Adoption of AI, and HR Readiness as a moderating variable also has a positive significant relation with Adoption of AI. It is determined that AI technology has the potential to completely change the systems and not just in the IT industry but in several others as well. Companies must make sure that they monitor the AI tools being used in the TA process to ensure unbiased decisions in the recruitment process.

Suggested Citation

  • Sh. M. Fakhre Alam Siddiqui & Hammad Zafar & Rimsha Siddiqui, 2025. "Adoption of AI for Talent Acquisition in the IT industry of Pakistan," International Journal of Politics & Social Sciences Review (IJPSSR), International Journal of Politics & Social Sciences Review (IJPSSR), vol. 4(I), pages 35-54.
    • Handle: RePEc:ebj:ijpssr:2025v4iia4
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