Analysis of Effective Factors in University Intelligence With Structural-Interpretive Modeling (ISM) Approach

Document Type : Research

Authors
1 Assistant Professor, Department of Industrial Engineering, Bam Higher Education Complex, Bam, Iran
2 Master of Science (M.Sc.) in Information Technology Management – Information Resource Management, Faculty of Humanities, Department of Management, University of Science and Art, Yazd, Iran
Abstract
Schools, universities and higher intelligence centers are important achievements of information technology development Education, the benefits, effects and results of which will not only have an impact on the educational environment, but also a new development with real experiences of the living environment of students and their future. The purpose of this study was to analyze the factors affecting the intelligence of the university with a structural-interpretive modeling approach (studied by the University of Science and Art). This research is applied in terms of purpose and descriptive-survey in terms of nature.

Methodology: The data collection tool in this study was a questionnaire that 10 questionnaires were distributed among experts and deputies of Yazd University of Science and Art, all of which were returned. In order to present the model of Internationalization of universities, the interpretive structural modeling approach was used.

Findings: Through a review of the literature and library resources, the factors influencing the smartization of the university were identified, and based on expert opinions, the final factors were incorporated into the model. These factors were then classified and ranked at two levels according to their driving power and dependency.

Conclusion:The results of this study showed that the factors of intelligent leadership, strategic planning, management support and internal support in the second level of the model and factors of intelligent education, intelligent learning environment, knowledge integration and ICT infrastructure They are located at the top or first level of the model.
Keywords


Articles in Press, Accepted Manuscript
Available Online from 25 August 2026