ISSN: 2225-8329
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User satisfaction has been used as an indicator for measuring the success of the organization's information systems, especially human resource information management activities. Globally, businesses spend a lot of money ensuring the effectiveness of their online information systems. The present study aimed to provide a comprehensive analysis related to user satisfaction with the Human Resource Management System (HRMIS 2.0) in a government agency in Malaysia namely Akademi Latihan Pertahanan Awam Malaysia (ALPHA), Selangor, Malaysia through a quantitative research method. This helps in determining the department’s level of adoption and acceptance of technology. A total of 108 valid survey questionnaires were collected among government servants in ALPHA. The Statistical Package for Social Science (SPSS) was employed to test the proposed research model and hypotheses. The outcomes of this study give a comprehensive and in-depth understanding of the four independent factors (optimism, innovativeness, discomfort, and insecurity), one mediator (perceived ease of use), and the dependent variable, user satisfaction HRMIS in ALPHA. The result indicated that optimism and innovation have a positive relationship with user satisfaction among the staff of ALPHA, but no positive relationship with discomfort and insecurity since in higher perceived ease of use among the employee, the relationship between insecurity and user pleasure was shown to be weaker. Therefore, organizations must manage user satisfaction in relation to HRMIS since it may have a negative impact on the organization's performance as well as raise production costs. According to the findings of this study, ALPHA promotes positive management by learning more about its employees and taking this information into account while establishing the organization's independent variables and HRM practices. This study has a practical and theoretical implications. Practically, the finding can be used to formulate the future government information systems development. Theoretically, this study contributes to the Technology Acceptance Model.
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