Key Factors Influencing a Decentralized IoT-Based Electronic Government Model for Higher Education in Iraq: An Intelligent Systems Perspective

The research conducted in this study aims to identify the factors that contribute to the successful development of an e-government framework for higher education. It specifically focuses on the integration of intelligent systems. Utilizing a quantitative research approach and employing the Structural Equation Modeling (SEM) technique, specifically Partial Least Squares (PLS), the study examines the impact of various predictors, such as IT skills, technical support, technological infrastructure, rules and regulations, awareness, cultural factors, trust in government, and quality of information on the intention to use e-government services. The findings highlight the significant influence of these predictors on the intention to use e-government services within the context of integrating intelligent systems. This study's results provide valuable insights for government decision-makers, offering them a strategic action plan for the future of electronic government in higher education. Higher education institutions may increase accessibility for students, teachers, and staff, expedite procedures, and improve service delivery by incorporating intelligent systems. The results of the study should help stakeholders and policymakers create strategies that will successfully integrate e-government in Iraqi higher education institutions, with a focus on integrating intelligent systems.