同儕評鑑網路

Abstract

同儕評鑑的實行被視為一種有別於傳統上對下的成就鑑定方法，對組織效率或個人管理上有正面的效果。本文乃是第一篇從社會網路角度來探討同儕評鑑之研究，目的在於了解社會網路結構對於個人表現在評鑑系統中的影響為何？我們設計了兩種適當描述個體在網路中權重之方法，分別稱為Simple weighted allocation rule 以及Myerson weighted allocation rule，並分析在這兩種制度下的均衡產出與均衡特性。我們發現在此種模型設計下同儕效果的力量能夠良好的運作，使得組織績效得以提升；而且有別以往的研究，在我們的模型中能更準確的預估出同儕效果在個人間的差異。

Peer evaluation, as a new alternative to traditional performance appraisal, has recently become very popular. This paper studies how the structure of a social network shapes the aggregate outcome and affects individuals' contributions while individuals' payoffs depend on a peer evaluation system. We design two allocation rules appropriate for different purposes to weigh individuals' opinions: simple weighted allocation rule (SWAR) and Myerson weighted allocation rule (MWAR), and analyze the equilibrium outcomes under these rules. We find that peer effects operate in a heterogeneous manner.