互动公正相关偏见及其对评价者决策过程的影响:一个实验方法

Rachana Chattopadhyay
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摘要

交互公正是指个体在决策前后所受到的人际待遇的公平性。违反互动正义会导致负面后果。关于组织公平的文献已经确定了性别对互动公平的影响。目前的研究是基于印度的背景,在那里,众多的群体间关系创造了不同的群体动态。在印度,除了性别之外,宗教刻板印象在社会背景中也起着重要作用。本研究探讨了互动公正刻板印象对评价者绩效评定和奖励推荐决策的影响。本研究以印度大学的印度教研究生(240人)和穆斯林研究生(240人)为研究对象,分两个实验进行。结果揭示了性别和宗教偏见对评估师绩效奖励制度决策的影响。研究发现,在违反互动公正的情况下,与评估者具有相同宗教团体成员身份的女性员工会受到最不利的绩效评级和奖励推荐。同样,在遵守互动正义的情况下,这一群体获得了最大的利益。整个分析表明,绩效评估者期望与自己宗教团体成员的女性员工互动公平。如果有违反,这个群体将是最大的受害者。
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Interactional Justice-related Bias and Its Impact on Appraiser’s Decision-making Process: An Experimental Approach
Abstract Interactional justice refers to the fairness in interpersonal treatment received by an individual both before and after the decision-making. Violation of interactional justice leads to the negative consequences. Literature on organizational justice has already identified the influence of gender on interactional justice. Current research is based on Indian context, where numerous intergroup relations create a different group dynamics. In India, apart from gender, religious stereotyping also plays a significant role in social context. The present experimental study investigates how appraiser’s decision on performance rating and reward recommendation is influenced by interactional justice-related stereotype. This study was conducted on Hindu (240) and Muslim (240) postgraduate students of Indian universities in two experimentations. Result reveals the influence of gender and religious bias on appraiser’s decision-making on performance-based reward system. It has been observed that if there is a violation of interactional justice, female employees sharing the same religious group membership with the appraiser are subjected to the most unfavorable performance rating and reward recommendation. Again, in case of interactional justice adherence, this group is rewarded with the maximum benefit. The whole analysis reveals that performance evaluators expect interactional justice from female employee of their own religious group membership. If there is a violation, this group will be the maximum sufferer.
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