The Effect of Organizational Maturity, Information Maturity, and Human Resources Maturity on the Perception of the Effectiveness of Artificial Intelligence in Human Resources Management

Background and Objectives: In recent decades, Artificial Intelligence (AI) has emerged as a pivotal technology in enhancing Human Resource Management (HRM) processes. However, many organizations have yet to fully exploit this technology's potential, which may be due to low levels of organizational and informational maturity. This study examines the impact of organizational, informational, and human resource maturity levels on managers' and experts' perceptions of AI efficiency in HRM. The innovation of this research lies in combining three maturity models organizational, informational, and human resource and examining their combined effects on AI productivity in HRM. Methodology: To address this gap, this research employs a descriptive-survey approach, collecting data from 120 HR managers and experts in knowledge-based companies at the Science and Technology Park. The sample size was determined using the Morgan table, and the sampling method was judgmental. Data analysis methods include multiple regression and Structural Equation Modeling (SEM). Findings: The results indicate that human resource maturity, with an impact coefficient of 0.361, has the most significant effect on the perception of AI efficiency, while informational and organizational maturity follow with coefficients of 0.296 and 0.240, respectively. Conclusion: This study recommends that organizations should pay special attention to the simultaneous development of organizational, informational, and human resource maturity to effectively leverage AI.