A Study of the Critical Organisational Factors at Play in Unmasking Counterproductive Work Behaviours in IT/ITES Organisations in NCR

Abstract

Purpose: This study investigates key organizational factors that influence Counterproductive Work Behaviors (CWBs) in IT/ITES organizations in the NCR region. It aims to identify and validate these factors to offer practical insights for reducing workplace misconduct and promoting a positive organizational culture.
Design/Methodology/Approach: Drawing from a comprehensive literature review, this research investigates the roles of Organizational Justice, Peer Relationship, Work Meaningfulness, Organizational Reward and Recognition, the Impact of Technology on Work Autonomy, and Work-Life Balance in mitigating CWBs. A survey was conducted with 100 IT/ITES employees in NCR, and hierarchical regression analysis was utilized to evaluate the predictive strength of these factors.
Findings:
The results highlight the necessity of flexible policies and encouraging work environments by showing that Work-Life Balance (-0.395, p<0.001) is the most important predictor of Counterproductive Work Behaviours (CWBs). Organisational incentive & Recognition (-0.285, p<0.001) is an important predictor, illustrating how fair and organised incentive systems can help reduce CWBs. Organisational justice (-0.191, p<0.001) consistently reduces CWBs by promoting openness, equity, and fairness. Furthermore, the study proposes that changing technological oversight to increase employee autonomy can help to reduce workplace misconduct. While demographic factors like age initially appear significant, their impact lessens as organizational factors take precedence. The model accounts for 31.7% of the variance in CWBs, providing moderate explanatory power.
Research Limitations: The findings of this study are constrained by a small sample size of 100 participants, which limits the generalizability of the results. Moreover, its focus on the IT/ITES sector in the NCR region may not reflect cultural and contextual differences found in other regions or industries.