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DEA based multi-period evaluation system for research in academia

机译:基于DEA的学术界多期评价体系

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摘要

Various types of incentive systems are widely used by many companies and organizations for better per formances. However, despite the demand for the fair incentive systems, those systems in academia have not been well established and fairly operated. Using an example of a professor evaluation system, we examine two main problems of the existing incentive systems in academia - ignoring the input aspect and focusing only on the short-term performance. By applying the super-efficiency DEA and considering multi-period output, we show that the input factors and the time trend of outcomes need to be incorpo rated for the fair evaluation of professors and their research performance.
机译:许多公司和组织广泛使用各种类型的激励系统来提高性能。但是,尽管需要公平的奖励制度,但学术界的这些制度还没有得到很好的建立和合理运作。以教授评估系统为例,我们研究了学术界现有激励机制的两个主要问题-忽略投入方面,仅关注短期绩效。通过应用超高效DEA并考虑多时期的输出,我们表明,为了公平地评价教授及其研究成果,需要结合输入因素和结果的时间趋势。

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