Understanding the consequences of unethical pro-organizational behavior: a dual pathway model from an actor-based perspective

Sherzodbek Murodilla Ugli Dadaboyev et al.

Baltic Journal of Management2025https://doi.org/10.1108/bjm-05-2024-0265article
AJG 1ABDC B
Weight
0.44

Abstract

Purpose The purpose of this study is to synthesize unethical pro-organizational behavior (UPB) research that has empirically examined consequences of UPB and to provide an actor-based perspective rooted in a dual pathway self-regulation model. Design/methodology/approach We first systematically reviewed the literature on the consequences of UPB. Given the duality of UPB (i.e. pro-organizational and unethical simultaneously), we followed with the theoretical development of a dual pathway model of UPB consequences and suggest propositions from an actor-based perspective. Findings We posited that the distinctive attributes of UPB give rise to corresponding and distinct employee attitudes and behaviors. Originality/value Taking an actor-based perspective and drawing on theories of moral self-regulation and self-consistency, we seek to (1) determine why some UPB actors’ self-evaluations of their UPBs focus on the pro-organizational nature of their behaviors versus the unethical nature of their behaviors (i.e. dual pathway) and (2) determine the potential consequences (i.e. actor’s behavioral and attitudinal responses) of each pathway.

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https://doi.org/https://doi.org/10.1108/bjm-05-2024-0265

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@article{sherzodbek2025,
  title        = {{Understanding the consequences of unethical pro-organizational behavior: a dual pathway model from an actor-based perspective}},
  author       = {Sherzodbek Murodilla Ugli Dadaboyev et al.},
  journal      = {Baltic Journal of Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/bjm-05-2024-0265},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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