Journal of Management and Business Solutions 3092-7226 4 Serial Number 17 2026 01 01 Interpretive Structural Modeling of Sustainable Development Management in Science and Technology Parks Interpretive Structural Modeling of Sustainable Development Management in Science and Technology Parks 1 15 10.61838/jmbs.113 EN Journal Article 2025 08 28 <p>From a practical perspective, the concept of sustainable development in science and technology parks refers to establishing an effective balance between the current needs of society and future requirements. On one hand, technology parks function as hubs for the growth of start-ups and the strengthening of technological innovation; on the other hand, their environmental and social responsibilities must be structurally and behaviorally institutionalized at all levels of their activities. Therefore, designing conceptual models to enhance sustainable development management in this domain is of considerable importance. Accordingly, the purpose of this study was to design a sustainable development management model in science and technology parks. The research method was descriptive-causal. In the first phase of the study, an interpretive-structural modeling (ISM) approach was used to design the sustainable development management model in science and technology parks. In the second phase, the designed model was tested using structural path modeling within the PLS framework. Data collection was conducted through two questionnaires, which were distributed among members of the statistical sample after verifying their validity and reliability. The statistical population consisted of all managers of science and technology parks, and the final sample included 181 participants. The findings from the interpretive-structural modeling phase indicate that the conceptual model of sustainable development management in science and technology parks is structured across six levels. The managerial commitment component demonstrated the highest level of influence, whereas innovation and research and development exhibited the greatest level of dependence within the conceptual model. Furthermore, the results of the structural path modeling phase confirmed the significance of all identified relationships and validated the designed model in the studied population.</p> https://www.journalmbs.com/index.php/jmbs/article/download/113/108