Taṣvīr-i salāmat (Jun 2024)
Developing a Structural Model for Predicting Professional Commitment Based on Self-Leadership Components
Abstract
Background. Human capital is the most vital strategic element and the most basic way to improve the performance and efficiency of an organization. Concerning the importance of human resources, it is obvious that in order to achieve the goals of the health system, human resources must have a favorable sense of belonging and commitment in addition to skills and expertise. Based on this, the current study aimed at providing a structural model for predicting professional commitment based on the components of self-leadership among the employees of a medical science university. Methods. The current applied research utilized a descriptive-correlational design. The statistical population of the employees of Tabriz University of Medical Sciences (northwest of Iran) was 976. Of this amount, 276 individuals were estimated as the statistical sample based on Cochran's formula and were randomly selected. Data were collected randomly through a questionnaire. In this study, structural equation modeling based on PLS3 software was used to test the hypotheses. Results. The results indicated that the components of self-leadership-visualization of successful performance, personal goal setting, self-rewarding, evaluation of beliefs and assumptions, personal observation, focusing on natural rewards, and self-guidance had a positive effect on professional commitment among the employees of Tabriz University of Medical Sciences. What is more, the components of self-leadership positively predicted professional commitment. Conclusion. Strengthening the components of self-leadership among employees will lead to the improvement of their morale, job satisfaction, and professional commitment, and in general, a better manifestation of lofty goals and a significant increase in the performance of the organization.
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