The Effect of Advanced Technology on Human Resource Recruiting in Higher Education
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Abstract
This study aimed to identify and analyze the impact factors of advanced technologies on human resource recruitment in Chinese higher education institutions, focusing on recruitment efficiency, candidate experience, diversity and quality of hires, and retention rates of new hires. Utilizing a quantitative research design, data were collected from a sample of 205 recruitment officers and human resource (HR) managers across fifteen diverse universities in China, selected through a purposive sampling method. A structured questionnaire was used, the validity and reliability of which were established using Cronbach's alpha coefficient at the 0.8 level. Multiple linear regression analyses were employed to examine the relationships between AI-driven screening tools, virtual interview platforms, data analysis evaluation techniques, automated applicant tracking systems, and each dependent variable.
The results showed that all four technologies were positively associated with recruitment efficiency, candidate experience, diversity and quality of hires, and retention rates. Specifically, AI-driven screening tools had the largest unique contribution to recruitment efficiency (β = .284, p = .000), while data analysis evaluation techniques had the largest unique contribution to both candidate experience (β = .251, p = .000) and retention rates (β = .237, p = .001). Virtual interview platforms had the largest unique contribution to diversity and quality of hires (β = .213, p = .003). These findings underscore the strategic value of advanced technologies in enhancing organizational capabilities, aligning with the Resource-Based View, and their crucial role in optimizing human capital acquisition and retention, as posited by Human Capital Theory. The study concluded that the integration of advanced technologies can significantly enhance various aspects of the recruitment process in higher education institutions. However, it also emphasized the importance of addressing potential challenges related to data security, fairness, and transparency.
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