Designing a Predictive Model of Employees’ Deviant Behavior in Medical Universities (Case Study: Ilam University of Medical Sciences)
Keywords:
Prediction, Behavior, Deviant behaviorAbstract
This study aimed to develop a structural model for predicting employees’ deviant behavior in Ilam University of Medical Sciences using a mixed-method approach. This applied research employed a mixed qualitative–quantitative design. In the qualitative phase, semi-structured interviews were conducted with 23 academic experts and senior managers, and data were analyzed through open coding, resulting in the identification of 19 key components. In the quantitative phase, a hybrid DEMATEL–Interpretive Structural Modeling (ISM) approach was used to examine interrelationships among components. Data were collected using a DEMATEL questionnaire with a 0–4 scale and analyzed via ISM software in MATLAB to construct a hierarchical structural model. The findings indicated that the extracted components were organized into a four-level hierarchical model, with abusive leadership identified as the most influential predictor of deviant behavior, while factors such as reduced organizational justice, weak organizational culture, and job stress operated at different levels of influence. The results suggest that managing leadership styles, particularly preventing abusive leadership, plays a critical role in reducing employees’ deviant behavior and enhancing organizational effectiveness and health.
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