Algorithm for Performance Appraisal using Cumulative Average Weighing Method
Author: M Ziaul Ahsan, Mamunur Rashid Khandkar, M Shahedul IslamDOI: doi.org/10.70279/bmj-v2-i1-1102
Cited by 1
Performance appraisal is an HR process, which plays an important role to drive employees for achieving organizational goal. Simple Additive Weighing (SAW) method is popularly used as a tool to calculate individual performance score (PS). Reflective factors (opportunity factor and optimum contribution factor) are not accounted in this method. Consequently, the assessed PS found to be less representative and biased. In the proposed Cumulative Average Weighing (CAW) method, those factors have been taken into consideration to make PS more representative and unbiased. A case studied for 5 years on 3 employees of the same status. Overall Performance Index (OPI) and Aptitude Index (API) have been calculated using performance score (PS) obtained in both the methods by Computer Based Performance Appraisal System (CB-PAS) software, developed in Visual Basic (VB). The analysis, using statistical tools (SD, MAD and AD) reflects that the PS as calculated by CAW method is more representative than that of calculated by the SAW method. The rate of change of API as calculated from the aptitude score facilitates the organization to talent management. Besides, Graphical Model for Score Interpretation (GMSI) used as an alternative tool for screening out and selecting the best option using data obtained from the CB-PAS.
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|---|---|
| Serial | 7 |
| Article PDF | Download |
| Total Citation | Cited by 1 |
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| Article Page Views | 427 |
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| Article Volume | Volume 02 |
| Article Issue | Issue 1 |
| Article DOI | doi.org/10.70279/bmj-v2-i1-1102 |
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| Status | Show |
| Article Slug | algorithm-for-performance-appraisal-using-cumulative-average-weighing-method |
| Article Keyword | Performance Score (PS), Overall Performance Index (OPI), Aptitude Index (API), Reflective factors. |
| Article Entry Time | 15:19:10 |
| Article References | Uttam Kumar Das, Jayakrushna Panda, “The Impact of 360 Degree Feedback on Employee Role in Leadership Development”, Asian Journal of Management, Vol 8, Issue No 4 2017; 8(4):962-966 Afshari, A. Mojahed, M., and Yusuff, R. M. “Simple Additive Weighting approach to Personnel Selection problem.” International Journal of Innovation, Management and Technology, Vol. 1, No. 5, 2010: 511- 515 Chang, D. Y. “Applications of the extent analysis method on fuzzy AHP.” European Journal of Operational Research, 95(3), 1996: 649-655. Chenhall, R. H. and Langfield-Smith, K. “Multiple Perspectives of Performance Measures.” European Management Journal, 25(4), 2007: 226-282. Andres, R. J., and Lapresta, L. “Performance appraisal based on distance function methods.” European Journal of Operational Research, 207, 2010a: 1599 - 1607. Fletcher, C. “Performance appraisal and management: The developing research agenda.” Journal of Occupational and Organizational Psychology, 74, 2001: 473-487. Ramadan Abdel Hamid ZeinEldin, “A Decision Support System for Performance Evaluation”, IJCA Special Issue on Computational Intelligence & Information Security CIIS 2012 Kuchhadiya , B. B., Chothani , H. G., Solanki, J. R., “Selection of Material for Bearing using MADM Approach” , International Journal of Advance Engineering and Research Development, Volume 2,Issue 1, 2015: 140 -145 Afshari , A. R., Nikolic, M. , Akbarri, Z., “Personnel Selection Using Goup FUZZY AHP and SAW Methods”, Journal of Engineering Management and Competitiveness (JEMC) Vol. 7, No. 1, 2017, 3-10 Venkateswarlu, P. and DattatrayaSarma, B.,” Selection of Equipment by Using Saw and Vikor Methods”, Int. Journal of Engineering Research and Application, Vol. 6, Issue 11, ( Part -1) 2016: 61-68 Maryam Jaberi, Mohammad R. Ghassemi, SiavoshShayan, Mojtaba Yamani, Seyed Mohammad Zamanzadeh, “Interaction between active tectonics, erosion and diapirism, a case study from Habble-Rud in Southern Central Alborz (Northern Iran)”, Geomorphology, Volume 300, 2018: 77-94 Ferris, G. R., Munyon, T. P., Basik, K., & Buckley, M. R. (2008). The performance evaluation context: Social, emotional, cognitive, political, and relationship components. Human Resource Management Review, 18(3), 146-163 Brutus, S. “Words versus numbers: A theoretical exploration of giving and receiving narrative comments in performance appraisal.” Human Resource Management Review20, 2010: 144-157. Sepehrirad R, Azar A, Sadeghi A, “Developing a hybrid mathematical model for 360-degree performance appraisal: A case study” , Procedia - Social and Behavioral Sciences 62 ( 2012 ) 844 – 848 Alexandrua, M. and Dianab, M. “Management skills assessment using 360° feedback - MSF 360.” Procedia - Social and Behavioral Sciences, 187, 2015: 318 – 323 Anisseh, M. and Dodangeh, J. “360 Degree Personnel Performance Appraisal Using the MADM Models and Presenting a Model for overall Ranking.” IEEE, International Conference on Industrial Engineering and Engineering Management,Proceedings of the 2007 IEEE IEEM, 2007: 847–851 Rensis, Likert. “A Technique for the Measurement of Attitudes.” Archives of Psychology, 140, 1932: 1–55. |