Document Type : Original Article
Authors
1
PhD student in Farabi Student Management, University of Tehran, Iran
2
Associate Professor, Department of Leadership and Human Capital, Faculty of Public Management and Organizational Sciences, Faculty of Management, University of Tehran, Tehran, Iran
3
Full Professor, Faculty of Management, University of Tehran, Tehran, Iran.
4
Public Administration Department, Faculty of Management & Accounting, University of Tehran, Tehran, Iran
Abstract
This study aims to predict deviant behaviors among employees and managers to enhance the effective management of human capital. The significance of this research lies in the fact that predicting and preventing deviant behaviors can reduce costly organizational mistakes and improve recruitment, selection, and employee retention processes. The study employs a qualitative and descriptive research design, using the process tracing method for data collection and analysis. Data were obtained from 48 documented cases of behavioral and psychological disorder treatments conducted by therapists using cognitive-behavioral techniques. Through causal mechanism analysis between thoughts and behaviors, the study seeks to develop a theoretical model for predicting deviant behaviors in organizational settings.
The findings reveal that several cognitive-behavioral therapy (CBT) techniques—including testing cognitive distortions, analyzing the pros and cons of worries, converting worries into predictions, evaluating evidence, and distinguishing thoughts from reality—possess strong potential for predicting deviant behaviors of employees and managers. Based on these findings, a practical model is proposed for organizations to identify, predict, and manage such behaviors effectively. The results indicate that integrating cognitive science techniques into human resource management can prevent behavioral deviations and enhance organizational productivity, fostering greater collaboration between clinical psychology and organizational behavior management.
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