Research Article

Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector

Volume: 9 Number: 1 March 21, 2022
EN

Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector

An Erratum to this article was published on March 21, 2022. https://dergipark.org.tr/en/pub/equinox/article/1091558

Abstract

Personnel selection is one of the decisions of strategic importance in terms of ensuring sustainability of companies. This decision is referred to as a multi-criteria decision-making problem in the literature in terms of the many criteria it contains and the determination of the candidate who meets these criteria at the most appropriate level. The use of these methods in order to decide on the most suitable candidate accelerates the nomination process for the enterprise, while at the same time preventing the loss of time that may occur. In this study, an evaluation was made among the personnel who applied for a food company. In the evaluation, some of the criteria determined by the company manager and found in the literature were taken into consideration. Entropy method was used for criterion weights in the solution of the problem. Afterwards, the weights obtained from this method were integrated with the MABAC method, and it was aimed to rank the most suitable candidates. Finally, the ranking results obtained were interpreted and the most suitable candidate was decided.

Keywords

References

  1. Akshya Kaveri, B., Gireesha, O., Somu, N., Gauthama Raman, M. R., & Shankar Sriram, V. S. (2017). E-FPROMETHEE: an entropy based fuzzy multi criteria decision making service ranking approach for cloud service selection. In International Conference on Intelligent Information Technologies, 224-238.
  2. Alao, M. A., Ayodele, T. R., Ogunjuyigbe, A. S. O., & Popoola, O. M. (2020). Multi-criteria decision based waste to energy technology selection using entropy-weighted TOPSIS technique: The case study of Lagos, Nigeria. Energy, 201, 117675.
  3. Arguea M., Cushing J., & Woodrow W., (1997) “Neural Network Analysis of the Employee Classification Problem for Tax Purposes”, Documentos de Trabajo del Instituto Complutense de Análisis Económico 01.
  4. Baležentis, A., Baležentis, T., & Brauers, W. K. M. (2012). Personnel Selection Based On Computing With Words And Fuzzy MULTIMOORA. Expert Systems with Applications, 39(9).
  5. Bhowmik, C., Gangwar, S., Bhowmik, S., & Ray, A. (2018). Selection of energy-efficient material: an entropy–TOPSIS approach. In Soft Computing: Theories and Applications,31-39.
  6. Borman, W. C., Hanson, M. A., & Hedge, J. W. (1997). Personnel Selection. Annual review of psychology, 48(1), 299-337.
  7. Bozanic, D., Tešić, D., & Kočić, J. (2019). Multi-criteria FUCOM–Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decision making: applications in management and engineering, 2(1), 132-146.
  8. Biswas, S., Bandyopadhyay, G., Guha, B., & Bhattacharjee, M. (2019). An ensemble approach for portfolio selection in a multi-criteria decision making framework. Decision Making: Applications in Management and Engineering, 2(2), 138-158.

Details

Primary Language

English

Subjects

Business Administration

Journal Section

Research Article

Publication Date

March 21, 2022

Submission Date

January 27, 2022

Acceptance Date

March 18, 2022

Published in Issue

Year 2022 Volume: 9 Number: 1

APA
Kalem, R. N., & Akpınar, M. E. (2022). Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector. Ekinoks Ekonomi İşletme Ve Siyasal Çalışmalar Dergisi, 9(1), 89-106. https://doi.org/10.48064/equinox.1063776
AMA
1.Kalem RN, Akpınar ME. Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector. Equinox. 2022;9(1):89-106. doi:10.48064/equinox.1063776
Chicago
Kalem, Rabia Nur, and Muhammet Enes Akpınar. 2022. “Personnel Performance Assessment Using Entropy Based MABAC Method: An Application in the Food Sector”. Ekinoks Ekonomi İşletme Ve Siyasal Çalışmalar Dergisi 9 (1): 89-106. https://doi.org/10.48064/equinox.1063776.
EndNote
Kalem RN, Akpınar ME (March 1, 2022) Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector. Ekinoks Ekonomi İşletme ve Siyasal Çalışmalar Dergisi 9 1 89–106.
IEEE
[1]R. N. Kalem and M. E. Akpınar, “Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector”, Equinox, vol. 9, no. 1, pp. 89–106, Mar. 2022, doi: 10.48064/equinox.1063776.
ISNAD
Kalem, Rabia Nur - Akpınar, Muhammet Enes. “Personnel Performance Assessment Using Entropy Based MABAC Method: An Application in the Food Sector”. Ekinoks Ekonomi İşletme ve Siyasal Çalışmalar Dergisi 9/1 (March 1, 2022): 89-106. https://doi.org/10.48064/equinox.1063776.
JAMA
1.Kalem RN, Akpınar ME. Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector. Equinox. 2022;9:89–106.
MLA
Kalem, Rabia Nur, and Muhammet Enes Akpınar. “Personnel Performance Assessment Using Entropy Based MABAC Method: An Application in the Food Sector”. Ekinoks Ekonomi İşletme Ve Siyasal Çalışmalar Dergisi, vol. 9, no. 1, Mar. 2022, pp. 89-106, doi:10.48064/equinox.1063776.
Vancouver
1.Rabia Nur Kalem, Muhammet Enes Akpınar. Personnel Performance Assessment using Entropy based MABAC Method: An Application in the Food Sector. Equinox. 2022 Mar. 1;9(1):89-106. doi:10.48064/equinox.1063776

Cited By


   17289          17290       17291       17295  17296     17292       17286         17288       17294  

17362    17456    17457    22454


Equinox Journal of Economics Business and Political Studies