The role of Generative AI (ChatGPT) in optimizing the recruitment process in the organizations (the mediating role of level of position and organization size).

The primary objective was to understand the impact of Generative AI Tools on the recruitment process, on their effectiveness in addressing bias, enhancing efficiency, and ensuring accurate candidate evaluation and looking at the moderating role of familiarity and the mediating role of the size of the organization and level of employee. A cross-sectional survey approach, with 469 professionals participating in the survey and a questionnaire administered online, was used. Structural Equation Modeling (SEM) in Amos-SPSS was used in the analysis of the relationships between Generative AI Tools, User Familiarity with AI, and key outcomes in the recruitment process. The study reveals a significant reduction in bias during candidate screening, attributed to the algorithmic objectivity, data-driven decision-making, and consistency inherent in Generative AI Tools. Efficiency gains and heightened accuracy in shortlisting candidates were also observed. However, User Familiarity with AI emerged as a moderating factor in influencing the relationship between Generative AI Tools and efficiency improvement. As a recommendation, organizations are encouraged to invest in continuous training programs to harness the full potential of Generative AI Tools in optimizing efficiency and ensuring a fair and accurate recruitment process.