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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hairu Yang Zhengyi Jiang Haiyan Zhai Fue Zeng |
| Copyright Year | 2009 |
| Description | Author affiliation: Wuhan University, China (Fue Zeng) || Shanghai Finance University, China (Zhengyi Jiang; Haiyan Zhai) || Department of Marketing, City University of Hong Kong, Kowloon, Hong Kong (Hairu Yang) |
| Abstract | In order to maximize performance appraisal effectiveness, extant literatures explore methods to reduce rater errors, improve rating accuracy and qualitative aspects. Even if these methods can substantially improve performance appraisal effectiveness, it is still unable to completely eliminate the existing of deviant ratings because the raters are subjective factors for the evaluation. This study introduces a statistical method that can effectively identify and eliminate deviant ratings, thus greatly improving the effectiveness of performance appraisal. Limitations of the method and future research directions are also discussed. |
| Starting Page | 778 |
| Ending Page | 782 |
| File Size | 509432 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448692 |
| DOI | 10.1109/IEEM.2009.5372917 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Statistical analysis Finance Psychology kwrating accuracy Appraisal kwdeviant rating Statistics performance appraisal effectiveness kwrater errors |
| Content Type | Text |
| Resource Type | Article |
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