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Organizational Diagnosis in State Universities and Colleges (SUCs): Academic Deans’ Perspectives through the Lens of Weisbord’s Six-Box Model
Abstract
In an increasingly complex educational landscape, the ability of Higher Education Institutions (HEIs) to maintain organizational performance and effectiveness is critical for their sustained success. Amidst evolving challenges, organizational diagnosis plays a crucial role in ensuring organizational robustness within these institutions, enabling them to navigate and thrive in the higher education sector. This descriptive-correlational study aimed at examining an organizational diagnosis based on Weisbord’s Six-Box Model in State Universities and Colleges (SUCs). The academic deans were purposively chosen as samples of the investigation. Preziosi’s (1980) organizational diagnosis questionnaire (ODQ) based on Weisbord’s Model, an adopted data-gathering instrument was used in data collection. Means and standard deviations were used for descriptive analyses while Spearman’s rho set at 0.05 alpha level was employed for inferential analyses. In all organizational aspects, the results showed that there were no significant problems or challenges. In general, there were strong interrelationships among all the internal elements in the diagnosis model. Specifically, the strongest correlation existed between purpose and structure, between leadership and structure, and purpose and leadership. There is still reason to believe that the SUCs should function more efficiently in order to reach the optimum working conditions, even though no issues or problems revealed in the model. This study provides a framework that SUC officials and administrators can utilize while conducting an organizational assessment and review, as well as a full model that can be established for long-term performance and effectiveness.
Article information
Journal
Journal of Humanities and Social Sciences Studies
Volume (Issue)
6 (9)
Pages
129-143
Published
Copyright
Copyright (c) 2024 Ronel Amorin
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.