| Issue |
E3S Web Conf.
Volume 484, 2024
The 4th Faculty of Industrial Technology International Congress: Development of Multidisciplinary Science and Engineering for Enhancing Innovation and Reputation (FoITIC 2023)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Manufacturing, Process, and Business Advancement | |
| DOI | https://doi.org/10.1051/e3sconf/202448401007 | |
| Published online | 07 February 2024 | |
Development of a comprehensive performance appraisal instrument using Behaviorally Anchored Rating Scales and Fuzzy TOPSIS
Department of Industrial Engineering, Institut Teknologi Nasionl Bandung, Bandung 40124, Indonesia
* Corresponding author: dwi_kurniawan@itenas.ac.id
Performance appraisal is an important phase in human resource management where organizations assess the job performance of their employees. A good performance appraisal needs to be fair, objective and constructive, be based on specific examples of the employee’s work, and should provide clear and actionable feedback. The appraisal should also be timely, and it should be used to help the employee develop and improve their performance. In this paper, we developed a comprehensive performance appraisal for use in various manufacturing industries. Assessment criteria for the instrument were identified using Behaviorally Anchored Rating Scales (BARS) based on specific examples of behavior to assess employee performance. The criteria were weighed using Analytical Hierarchy Process (AHP), and then used to evaluate employee’s performance using Technique For Order Preference By Similarity To Ideal Solution (TOPSIS). Two case studies were selected as the implementation of the developed instrument. We claimed that the proposed instrument was objective, comprehensive, accurate, motivating and much better than the existing performance appraisal instrument currently used in both case studies.
Key words: Performance appraisal / Behaviorally Anchored Rating Scales (BARS) / Analytical Hierarchy Process (AHP) / Technique For Order Preference By Similarity To Ideal Solution (TOPSIS)
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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