Making our groups better? The roles of moral disengagement and group identification in the learning of pro‐group unethical behaviour.
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| Title: | Making our groups better? The roles of moral disengagement and group identification in the learning of pro‐group unethical behaviour. |
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| Authors: | Zhu, Julie N. Y., Lam, Long W., Li, Yolanda Na, Shao, Maggie Q. |
| Source: | Journal of Occupational & Organizational Psychology. Dec2024, Vol. 97 Issue 4, p1550-1571. 22p. |
| Subjects: | Corruption prevention, Organizational behavior, Employees, Group identity, Professional ethics, Research funding, Ethics, Attitude (Psychology), Psychology, Psychological disengagement, Social skills, Theory, Group process |
| Abstract: | Pro‐group unethical behaviour (PGUB) refers to a set of behaviours that conflict with moral standards but are beneficial to the interests of an actor's workgroup. Drawing on social cognitive theory, this research investigates whether, how, and when perceived co‐worker PGUB leads employees to engage in the same unethical behaviour. We propose that moral disengagement is a crucial mechanism through which PGUB is transmitted from co‐workers to employees and that this relationship is further amplified by employees' group identification. The results of three field studies featuring different samples consistently highlight the mediating role of moral disengagement in the relationship between perceived co‐worker PGUB and employee PGUB. Furthermore, employees who identify strongly with their workgroup are more likely to exhibit moral disengagement and learn their co‐workers' PGUB than are employees with low group identification. The findings of this research provide insights for both theory and practice. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Occupational & Organizational Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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