{"id":80,"category_id":4,"image":null,"title":"Algorithm for Performance Appraisal using Cumulative Average Weighing Method","slug":"algorithm-for-performance-appraisal-using-cumulative-average-weighing-method","author":"M Ziaul Ahsan, Mamunur Rashid Khandkar and M Shahedul Islam","publisher":null,"description":"

Abstract<\/strong>
\r\nPerformance 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.
\r\nKeywords:<\/strong> Performance Score (PS), Overall Performance Index (OPI), Aptitude Index (API), Reflective factors.<\/p>","file":"\/files\/econtents\/63bd35fde8748bmj-02-01-05.pdf","downloaded":0,"created_at":"10\/1\/2023 9:55 PM","updated_at":"10\/1\/2023 9:55 PM"}