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Abstract ▼ AI-Helper

This paper analyzes halo effect that may arise during the process of performance evaluations on Korean public enterprises. Non-quantitative measurements included in this evaluation are usually susceptible to the will of raters as well as hardly acceptable to ratees. Data was collected from 2007 eval...

This paper analyzes halo effect that may arise during the process of performance evaluations on Korean public enterprises. Non-quantitative measurements included in this evaluation are usually susceptible to the will of raters as well as hardly acceptable to ratees. Data was collected from 2007 evaluation results that include 75 public enterprises and 225 evaluation teams divided by three fields of tasks: leadership, major projects, and management. Analyzed by the Rasch model, the result shows that halo effect is significantly effective for approximately 15 percent of public enterprises. It also shows that the evaluation on "management" is more influenced by halo effect than that on "leadership" or "major projects". This paper implies that non-quantitative evaluation in the public sector should be carefully made to minimize the errors of raters and improve the acceptability by ratees to evaluation results.

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