Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy

Abstract

The selection process of appropriate Performance Appraisal (PA) methods for organizations in today's dynamic and agile environments along with its funding scales is a complex problem. Performance appraisal in modern organizations has become a part of the strategic approach toward integrating business policies and human resource activities. The existence of multiple criteria in the decision-making procedure makes finding the optimal PA method more challenging. The current study tackles a PA method assessment by applying a multiple criteria decision analysis method i.e., MULTIMOORA integrated Shannon's entropy significance coefficient. A case study on the optimal PA method selection is analyzed by identifying the criteria and alternatives based on the literature and expert comments of the case-study employing two approaches, that is, MULTIMOORA and Entropy MULTIMOORA. The final rankings of the suggested methods are compared to TOPSIS and TOPSIS integrated Shannon's entropy methods utilizing correlation coefficients of the final ranks. Eventually, by identifying the optimal PA approach i.e., 360-degree feedback, the selected optimal method employed in the case study and results are demonstrated and described with a comprehensive example.

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

“…Stević et al [43] applied a hybrid novel MCDM methodology including DEMATEL, EDAS, COPRAS and MULTIMOORA methods in a supplier selection problem in regard to a construction organization. Maghsoodi et al [44] suggested an application of the MULTIMOORA approach integrated with Shannon's entropy in ranking and selecting the best performance appraisal method in an organization in Iran. Maghsoodi et al [45] proposed a combinative approach called cluster analysis for improving multiple criteria decision analysis (CLUS-MCDA) including the k-means clustering technique and MULTIMOORA method in order to tackle a big data supplier selection problem in an ICT company in Iran.…”

An improved MULTIMOORA method with combined weights and its application in assessing the innovative ability of universities

“…From the theory and application levels, Karel, Brauers, and Zavadskas (2012) illustrated the superiority of MULTIMOOA, comparing it with other widely used MADM methods, such as ELECTRE, TOPSIS, and AHP. Due to the simplicity and effectiveness, the MULTIMOORA method has been applied to various purposes, such as the ranking of European Union member states (Brauers, Baležentis, & Baležentis, 2011), materials selection (Hafezalkotob & Hafezalkotob, 2015), and appraisal methods selection (Maghsoodi, Abouhamzeh, Khalilzadeh, & Zavadskas, 2018). MULTIMOORA is previously integrated with various kinds of weighting methods such as Entropy (Hafezalkotob & Hafezalkotob, 2016).…”

Information Entropy for Evaluation of Wastewater Composition

“…Unlike a majority of statistical methods based on normal distribution, entropy-based statistics is applicable to any distribution and even in cases when distributions are a priori unknown Maruyama, et al [3]. It has been commonly used in physics [4,5], chemistry [6,7], informatics [8] and bioinformatics [2,9,10], image processing [11,12], for the evaluation of business organisations [13], economics and finance processes [14] and company systems performance [15,16]. The concept has been used also for the analysis of urban ecosystems [17], environmental analysis [3,[18][19][20], medical records [21][22][23] and in scientometrics [24,25].…”