Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach
Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Decision Making (ES-MADM) model, an innovative fr...
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Format: | Article |
Language: | English |
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MDPI AG
2023-12-01
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Online Access: | https://www.mdpi.com/2078-2489/15/1/1 |
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author | Sideris Kiratsoudis Vassilis Tsiantos |
author_facet | Sideris Kiratsoudis Vassilis Tsiantos |
author_sort | Sideris Kiratsoudis |
collection | DOAJ |
description | Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Decision Making (ES-MADM) model, an innovative framework expressly designed to rationalize and augment the decision-making processes inherent in the evaluation and selection of personnel within corporate entities. The ES-MADM model systematically navigates the complexities of personnel selection by imbuing objectivity into the assessment criteria, thereby facilitating the structured ranking of potential candidates and establishing a discernible selection sequence. Furthermore, it delves into the statistical significance of these criteria, thereby reinforcing the decision-making process’s stability. This research conducts a comparative analysis with alternative multicriteria methodologies and employs sensitivity analysis to ascertain the overall efficacy of the ES-MADM model. This scholarly pursuit, through its rigorous approach, furnishes a comprehensive solution to the intricate challenges surrounding personnel selection, thereby championing a systematic, data-driven approach to underpin pivotal decisions in this sphere. |
first_indexed | 2024-03-08T10:47:32Z |
format | Article |
id | doaj.art-c39bc59804b14f419f18dd029ef2c2e3 |
institution | Directory Open Access Journal |
issn | 2078-2489 |
language | English |
last_indexed | 2024-03-08T10:47:32Z |
publishDate | 2023-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Information |
spelling | doaj.art-c39bc59804b14f419f18dd029ef2c2e32024-01-26T17:03:35ZengMDPI AGInformation2078-24892023-12-01151110.3390/info15010001Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel ApproachSideris Kiratsoudis0Vassilis Tsiantos1Didactics, Computational and Applied Mathematics and Micromagnetics Lab, Department of Physics, International Hellenic University, Kavala Campus, 65404 Kavala, GreeceDidactics, Computational and Applied Mathematics and Micromagnetics Lab, Department of Physics, International Hellenic University, Kavala Campus, 65404 Kavala, GreecePersonnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Decision Making (ES-MADM) model, an innovative framework expressly designed to rationalize and augment the decision-making processes inherent in the evaluation and selection of personnel within corporate entities. The ES-MADM model systematically navigates the complexities of personnel selection by imbuing objectivity into the assessment criteria, thereby facilitating the structured ranking of potential candidates and establishing a discernible selection sequence. Furthermore, it delves into the statistical significance of these criteria, thereby reinforcing the decision-making process’s stability. This research conducts a comparative analysis with alternative multicriteria methodologies and employs sensitivity analysis to ascertain the overall efficacy of the ES-MADM model. This scholarly pursuit, through its rigorous approach, furnishes a comprehensive solution to the intricate challenges surrounding personnel selection, thereby championing a systematic, data-driven approach to underpin pivotal decisions in this sphere.https://www.mdpi.com/2078-2489/15/1/1multi-criteria decision making (MCDM)multi-attribute decision making (MADM)entropyinformation theorypersonnel selection |
spellingShingle | Sideris Kiratsoudis Vassilis Tsiantos Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach Information multi-criteria decision making (MCDM) multi-attribute decision making (MADM) entropy information theory personnel selection |
title | Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach |
title_full | Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach |
title_fullStr | Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach |
title_full_unstemmed | Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach |
title_short | Enhancing Personnel Selection through the Integration of the Entropy Synergy Analysis of Multi-Attribute Decision Making Model: A Novel Approach |
title_sort | enhancing personnel selection through the integration of the entropy synergy analysis of multi attribute decision making model a novel approach |
topic | multi-criteria decision making (MCDM) multi-attribute decision making (MADM) entropy information theory personnel selection |
url | https://www.mdpi.com/2078-2489/15/1/1 |
work_keys_str_mv | AT sideriskiratsoudis enhancingpersonnelselectionthroughtheintegrationoftheentropysynergyanalysisofmultiattributedecisionmakingmodelanovelapproach AT vassilistsiantos enhancingpersonnelselectionthroughtheintegrationoftheentropysynergyanalysisofmultiattributedecisionmakingmodelanovelapproach |