An enriched decision-making satisfaction model for student information management systems

Abstract

Managers in every organization are responsible for making prompt and precise decisions to achieve organizational goals. Similar to other institutions, higher education institutions use student information management systems to collect and organize various data at the student, faculty, and institutional level. These data are used to obtain meaningful information that supports the Decision-Making Process. Furthermore, integration and sharing of this information promote creativity and learning within the institution, which has a positive influence on the institution's performance. This research aims to develop an enriched decision-making satisfaction model for student information management systems that supports the tactical and strategic Decision-Making Processes of a higher institution in Northern Cyprus. The results obtained by analyzing the data from 263 academic and administrative managers show that System Quality, Information Quality, and System Intelligence factors; Uncertainty, Risk, and Complexity have a positive influence on decision-making satisfaction. Findings also show that Internal Factors and External Factors have a significant direct impact on decision-making satisfaction. This research is expected to set a broad framework for the research needed to improve SIMS for future applications from the decision-making satisfaction perspective with an artificial intelligence add-on towards the System Intelligence with technological innovations.