Revolutionizing HR Functions: How Artificial Intelligence Transforms Recruitment and Staffing for Optimal Efficiency

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Vidhu Gaur, Avinash Kapoor, Chinmaya Kulshrestha


The rapid integration of Artificial Intelligence (AI) into today's business landscape has fuelled both curiosity and significant advancements, solidifying its stature as a defining element of the 21st century. This empirical study was conceived to probe the causal links between the assimilation of Artificial Intelligence (AI) and the consequential outcomes within recruitment and staffing procedures in today's organizations. Given the relentless evolution of AI technology, the landscape is rife with opportunities to amplify both the efficiency and effectiveness of talent acquisition processes.

Utilizing a quantitative research approach, this investigation sourced data from a diverse array of organizations spanning multiple industries. The focal point was an assessment of the degree to which artificial intelligence (AI) has permeated recruitment processes and to subsequently explore the relationship between this AI incorporation and recruitment outcomes. Key metrics under scrutiny included the quality of recruited candidates, the duration required to fulfil vacancies, and the overarching efficacy of staffing initiatives.

The research unveiled telling insights. 'Attitude' towards AI was found to be a primary driver of its adoption in recruitment, suggesting that organizational perceptions about AI's potential benefits are more decisive than external societal pressures. Contrarily, subjective norms seemed to have a minimal influence on AI adoption decisions. Moreover, demographic intricacies, especially concerning education levels, hinted at deeper underlying dynamics affecting AI perspectives and its subsequent integration. Through this rigorous empirical lens, organizations can gain a profound understanding of the potential boons and challenges accompanying the integration of AI technology in recruitment and staffing, positioning them better in their strategic decision-making processes.

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