Mapping Determinants of Success through Information Systems in Higher Education: A Structural Equation Modeling Approach
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| Title: | Mapping Determinants of Success through Information Systems in Higher Education: A Structural Equation Modeling Approach |
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| Language: | English |
| Authors: | Opik Adurrahman Taufik, Onok Yayang Pamungkas, Suprapto, Abdul Kadir Ahmad, Dinar Westri Andini, Pramudya Cahyandaru |
| Source: | Educational Process: International Journal. Article e2025067 2025 14. |
| Availability: | UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/ |
| Peer Reviewed: | Y |
| Page Count: | 15 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Foreign Countries, Universities, Information Systems, Management Information Systems, Efficiency, Decision Making, Usability, Administrator Role, Technology Uses in Education, Educational Technology, Teacher Attitudes, Student Attitudes, Administrator Attitudes |
| Geographic Terms: | Indonesia |
| ISSN: | 2147-0901 2564-8020 |
| Abstract: | Background/purpose: This research aims to identify the key factors influencing the successful implementation of information systems in universities, especially in Indonesia. The main focus of the research is on work efficiency, collaboration, decision-making, and output quality in the context of university information systems. Materials/methods: The study used Structural Equation Modeling (SEM) method to analyze the data. The research sample consisted of 412 respondents, including university faculty, students, and administrative staff. The analysis was conducted to measure the influence of various factors on system quality, user satisfaction, and operational performance. Results: The findings showed that management support had the strongest influence on system quality (path coefficient = 0.77, p < 0.001) and user satisfaction (path coefficient = 0.72, p < 0.001). User experience (path coefficient = 0.80) and ease of use (path coefficient = 0.70) also significantly influenced positive perceptions of the system, which contributed to improved operational performance (84.8%, rated "excellent") and collaborative effectiveness (83.3%, rated "excellent"). However, the quality of the system's output remains a challenge, with only 50% of respondents rating it "excellent". Conclusion: Improved features, especially in automated data analysis and report generation, are needed to optimize academic and administrative outcomes. Management support is needed to improve higher education outcomes. The implications of the study emphasize the importance of management's role in supporting system implementation, as well as the need for more in-depth feature development to support improved output quality. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1463493 |
| Database: | ERIC |
| Abstract: | Background/purpose: This research aims to identify the key factors influencing the successful implementation of information systems in universities, especially in Indonesia. The main focus of the research is on work efficiency, collaboration, decision-making, and output quality in the context of university information systems. Materials/methods: The study used Structural Equation Modeling (SEM) method to analyze the data. The research sample consisted of 412 respondents, including university faculty, students, and administrative staff. The analysis was conducted to measure the influence of various factors on system quality, user satisfaction, and operational performance. Results: The findings showed that management support had the strongest influence on system quality (path coefficient = 0.77, p < 0.001) and user satisfaction (path coefficient = 0.72, p < 0.001). User experience (path coefficient = 0.80) and ease of use (path coefficient = 0.70) also significantly influenced positive perceptions of the system, which contributed to improved operational performance (84.8%, rated "excellent") and collaborative effectiveness (83.3%, rated "excellent"). However, the quality of the system's output remains a challenge, with only 50% of respondents rating it "excellent". Conclusion: Improved features, especially in automated data analysis and report generation, are needed to optimize academic and administrative outcomes. Management support is needed to improve higher education outcomes. The implications of the study emphasize the importance of management's role in supporting system implementation, as well as the need for more in-depth feature development to support improved output quality. |
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| ISSN: | 2147-0901 2564-8020 |
