IMPROVING THE IT INDUSTRY'S RECRUITING RESULTS: ARTIFICIAL INTELLIGENCE'S EFFECT ON LOWERING OFFER DECLINES AND RAISING CANDIDATE ENGAGEMENT
DOI:
https://doi.org/10.29121/shodhkosh.v4.i2.2023.2391Keywords:
Recruitment Performance, Aspirant Relationship Management, Candidate Engagement, Talent Acquisition, Offer Decline, Artificial IntelligenceAbstract [English]
Purpose: A major issue facing this industry is the high percentage of offer rejections, which causes delays in filling important positions on time, raises recruiting expenses, and reduces overall organizational effectiveness. Conventional hiring practises, which depend on subjective judgments and manual processes, frequently find it difficult to adequately manage candidate involvement and lessen offer rejections. In order to improve recruiting success, this study investigates the function of artificial intelligence (AI) in aspirant relationship management (ARM) and how it can predict aspirant behaviors and improve candidate engagement.
Methodology: In order to investigate the association between AI-powered Aspirant association Management (AI-ARM) and recruitment performance in the IT industry, this study uses a correlational research approach. The sample, which was created using a non-probability judgmental sampling technique, is made up of hiring managers, HR managers, and job seekers. A standardized questionnaire is used to gather data, with an emphasis on the main factors influencing AI-ARM and how they affect hiring practices. The data is analysed using Structural Equation Modelling (SEM) with Partial Least Squares (PLS), which makes it possible to estimate the associations between variables. This method sheds light on how AI might enhance recruitment performance and lower the number of offer declines.
Findings: The study looks into the main factors that influence AI-powered ARM and how successful recruitment is in the IT sector. This study intends to close a major research gap and offer insights on the use of AI to decrease offer declines and increase hiring efficiency. By utilizing AI-driven recruitment techniques.
Implications: IT firms will be able to improve candidate engagement, offer acceptance rates, and overall recruitment outcomes. This is made possible by the findings. The report gives a complete examination of AI-ARM systems, concentrating on their function in streamlining recruitment procedures and tackling the growing issue of offer declines in the IT sector.
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