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 , Ebrahim Mehranfar 3
1 -
2 - Payam Noor
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.
Amiri, Z., Esmaeili, M., Sepahvand, R., Mousavi, S. N.(2018) Presenting the behavioral entropy model in the organization: A case study of Isfahan Municipality. Scientific-Research Journal of Public Organization Management.; 6(4): 37-56.
Amoo, O., Durowoju, H. & Chan, X. (2012). “Entropy assessment of supply chain disruption”. Journal of Manufacturing Technology Management, 23(8), 998 – 1014.
Chen CT, King B. (2018) Shaping the organizational citizenship behavior or workplace deviance: Key determining factors in the hospitality workforce. Journal of Hospitality and Tourism Management. 1;35:1-8.
Colbert AE, Mount MK, Harter JK, Witt LA, Barrick MR. (2004) Interactive effects of personality and perceptions of the work situation on workplace deviance. Journal of applied psychology.;89(4):599.
Crandall, G. & Goodrich, A. (2014). Characterizing efficiency of human robot interaction: A case study of shared control teleoperation. In Proceedings of the 2014 IEEE /RSJ International Conference on Intelligent
Gatling, A., Cass, Sh., Laura, B. & Billy, B. (2017). “The influence of hospitality leaders’ relational transparency on followers’ trust and deviance behaviors: Mediating role of behavioral integrity”. International Journal of Hospitality Management, 62(8), 11-20.
Héctor, A., Martínez, B., Gabriela, LópezTorresa, L. & Romo, R. (2014). “Developing a Method to Evaluate Entropy in Organizational Systems”. Computer Science, 28(2), 389 – 397.
Lin, Ch., Yuan-Hui, T. & Min-Ling, L. (2016). “Something good and something bad in R&D teams: Effects of social identification and dysfunctional behavior”. Technological Forecasting and Social Change, 104(8), 191-199.
Madni, T., Sare, M. & Tamson, F. (2014). “From general system theory to total quality management”. Journal of American Academy of Business, 4(2), 394-400.
Marcin J. Schroeder (2004) An Alternative to Entropy in the Measurement of Information,
Minodora, M., and Mihai, F. (2016). “Evaluation of Information Entropy in Organizational System”. Romania Management and Economics Review, 1 (2): 18 -36.
Nasr Esfahani, A.(2016) Advanced organizational behavior from the perspective of Saa’di. Isfahan: Jahad Daneshgahi Publications.
Peon, J.B., Mar, R.A. & Peterson, J.B. (2005). “Psychological Entropy: A framework for Understanding Uncertainty-Related Anxiety”. Psychological Review, Advance online publication. doi: 10.1037/a0026767. Sarlak, M. A. (2017) Behavioral entropy theory. Modamnet Knowledge Network.
Singh, V.P (2013). Entropy Theory and its Application in Environmental and Water Engineering, 1stedition. USA: Wiley-Blackwell
Vinicius M. Netto,1 Joao Meirelles, and Fabiano L. Ribeiro, (2017) Social Interaction and the City: The Effect of Space on the Reduction of Entropy Hindawi Complexity Published 23 August 2017 16 pages
Wiener N.(1988) The human use of human beings: Cybernetics and society. Da capo press;