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

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.