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Effects of Allocator, Computational Complexity, and Allocator's inputs in Reward Allocation Behavior

Abstract

In this study, I tested the hypothesis of equity theory that variations in individual contributions led to an equitable allocation of reward, and examined the effects of allocator, computational complexity, sex, and allocator's inputs on reward allocation. The results provided strong support for the equity hypothesis. As predicted by hypothesis 1, those who contributed more received more money than those who contributed less. And consistent with hypothesis 2, supervisors preferred the equity principle and corecipients preferred the equity principle. Effects of computational complexity were not obvious and sex differences according to allocator's inputs were opposed to hypothesis. The implications of this study were discussed, and some further researches were recommended.

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