Adoption of Human Resource Information Systems

This research investigated the critical factors influencing the successful adoption of E-HRM systems. Leveraging an updated DeLone and McLean IS Success Model, the impact of system quality, information quality, and service quality on system usage and user satisfaction were explored, ultimately linking these factors to E-HRM adoption success. A quantitative approach was employed, with data collected through a meticulously designed survey distributed to employees. Structural equation modeling (SEM) facilitated a rigorous analysis of the relationships between variables, while descriptive statistics painted a clear picture of the data landscape. SmartPLS 4.0 served as a robust tool for data analysis. The findings revealed a compelling narrative. Six of the nine hypotheses achieved significance, highlighting the direct and indirect influences of system quality, information quality, and service quality on system usage and user satisfaction. Notably, system usage emerged as a vital mediating variable, bridging the gap between system attributes and successful adoption. This underscores the pivotal role of encouraging user engagement and positive system experiences. Furthermore, the analysis unveiled a fascinating interconnectedness among all six variables. Each element, like a meticulously interwoven thread, contributes to the tapestry of successful E-HRM adoption. This interplay emphasizes the importance of a holistic approach, where no single factor reigns supreme but rather a harmonious synergy propels the system toward success. In conclusion, this study offers valuable insights for optimizing E-HRM implementation. High-quality systems with accurate and user-centric information, coupled with exceptional service, pave the way for a thriving E-HRM environment. By fostering user engagement and nurturing a holistic approach that recognizes the interconnectedness of key factors, organizations can unlock the true potential of their E-HRM systems, transforming them into catalysts for success. Keywords: E-HRM, system quality, system use, user and system satisfaction