Employee Perception And Satisfaction In AI Recruitment: Career Growth As A Mediator For Job Satisfaction

Abstract

This study examines the perception and satisfaction of employees recruited through AI in select IT companies in Hyderabad . Understanding employees' perceptions of AI-based recruitment is key to evaluating its effectiveness and acceptance. Employee satisfaction reveals strengths and areas for improvement in AI hiring. The conceptual model explores factors like accuracy, transparency, awareness, challenges, and diversity impact. These elements shape views on AI’s role in career growth and job satisfaction. Together, they offer a comprehensive perspective on AI integration in recruitment.

This study aims to evaluate employee perceptions and satisfaction with AI-driven recruitment in select IT companies in Hyderabad. Understanding these perspectives is crucial for assessing AI’s effectiveness and acceptance in the workplace. Employees' views on the accuracy, transparency, and fairness of AI in hiring significantly influence their recruitment experience, job satisfaction, and career growth within the organization.

Primary data is collected from employees in select IT companies, and analyzed using statistical tools like Frequency Distribution, Relative Importance Index (RII), and Henry Garrett Ranking Method. Structural Equation Modeling (SEM) is employed to assess the mediating role of career growth in job satisfaction.

The findings indicate that all independent variables—Challenges and Concerns, Impact on Diversity, Transparency, Perceived Accuracy, and Awareness and Satisfaction—significantly affect job satisfaction, both directly and through the mediating role of Career Growth. This highlights the importance of career growth opportunities, transparency, and awareness of AI integration’s benefits and challenges in enhancing employee satisfaction. Organizations should prioritize these factors to improve the recruitment experience and overall job satisfaction in AI-driven hiring processes.

This study highlights the critical role of career growth in bridging the relationship between AI-driven recruitment factors and job satisfaction. By addressing challenges, ensuring transparency, and improving awareness, organizations can foster a more positive perception of AI in hiring. The research emphasizes the need for companies to refine AI implementation strategies, making recruitment processes more efficient, fair, and employee-centric. Ultimately, optimizing these elements can enhance employee retention, engagement, and overall workplace satisfaction.