Determinants of Continuous Usages of E-HRM: An Empirical Evidence from Bangladesh

Purpose: Technological evaluation and e-HRM gained momentum during the COVID-19 pandemic. In order to fully understand their influence on users’ intention to continuous using e-HRM systems, this study integrated IS success model and technology continuity theory (TCT), examining how attitudes and satisfaction moderate the impact on the continuous usage of e-HRM post-COVID-19. Method: The study is based on the integrated IS success model and the TCT model, a survey data’s set of 260 samples. The study deployed structural equation model (SEM) and an importance-performance map analysis (IPMA) to find the determinants of continuous usage intention of e-HRM. Results: The study found that information quality (IQ) was positively associated with perceived ease of use (PEU), satisfaction and continuous use of e-HRM, whereas system quality (SQ) was insignificantly associated with PEU but did not support attitude or continued use of e-HRM. According to IPMA, management needs to pay extra attention to perceived ease of use (PEU), satisfaction (SA), and information quality (IQ) to keep employee using e-HRM. This research has proposed and validated an integrated model by incorporating IS success model and TCT theory. Conclusions: E-HRM is the use of information technology to support human resource management (HRM) activities, resulting in improved efficiency, effectiveness and employee satisfaction. Therefore, this research has added new value for determining professional E-HRM continuous intention to use in developing countries like Bangladesh.