Designing a model for reducing the behavioral entropy of justice administration employees, focusing on the three-pronged model
Subject Areas :
Maryam
Gholizadeh
1
Mohammad Ali
Sarlak
2
(Payam Noor)
Ebrahim
Mehranfar
3
( Payam Noor)
Keywords: behavioral entropy, background factors, behavioral factors, structural factors, justice administration employees ,
Abstract :
Changing employee behavior is a common challenge for many organizations. When employees deviate from expected behavior, it can be seen as a form of human behavioral entropy, making it difficult to predict their actions. Entropy is a degree of disorder in any system that increases over time according to the second law of thermodynamics. Disturbances may also occur in human behavior when human behavior goes out of stability and moves towards instability, which can be called entropy in behavior. With the appearance of entropy in the behavior of employees, it becomes difficult for managers to control their behavior and the possibility of any behavioral problems in the organization is obvious. Understanding the underlying causes of these behaviors can help prevent problems within organizations. This study is focused on developing a model to reduce employee behavioral entropy within the justice administration system. The research is qualitative in nature, with a statistical population consisting of experts with relevant experience in the field. The research sample was selected using purposive sampling. Qualitative data was collected through interviews and analyzed using thematic analysis. The results of the analysis identified background factors (economic, legal, social, political, and technological), behavioral factors (personality, professional ethics, job passion, impression management, and job satisfaction), and structural factors (structural and process, leadership, work rules and regulations, cultural and educational) as organizing categories and basic categories in the design of the model, focusing on a three-pronged approach to reducing justice administration employee behavioral entropy.
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