SUMEDHA JOURNAL OF MANAGEMENT
  • Year: 2019
  • Volume: 8
  • Issue: 2

A model proposition for prescreening candidates in recruitment process using fuzzy vikor method

  • Author:
  • Murat Bolelli*
  • Total Page Count: 19
  • Page Number: 1 to 19

*Asst. Prof., Istanbul Okan University, Faculty of Business and Administrative Sciences, Avni Dilligil Sok. No: 18 34394Mecidiyekoy/Istanbul, Turkey.

Online published on 25 January, 2021.

Abstract

Purpose of this study wasto test if fuzzy VIKOR method can be used to prescreen job applications and to select candidates to be interviewed as well as to propose a model for the process.Recruiting qualified employees is a major concern for firms today. One of the important determinants for the success of recruitment process is pre-screening,whichrequire multi criteria decision making containingnoncommensurable and conflicting criteriawhere use of fuzzy techniques are appropriate. To test the use of fuzzy VIKOR method in prescreening,external hiring of a Region Manager to a pharmaceutical company scenario is developed, resumes of individuals working in the industry are found from various career portals, all the information are anonymizedand presented to decision makers as if they are actual job applicants. Following VIKOR methods steps, decision maker group consisting eight recruitment and human resources professionals is gathered. Decision makers determined and weigthed criteria to be used for prescreening (Total Experience, Experience in the Industry, Education Level, Education-Profession Relation, Languages, Age, Remuneration Expectations) and assessed candidates using them. After fuzzification and calculations, Candidate 6 is found to present the best compromise solutionsatisfying maximum group utility of the “majority” and minimum individual regret of the “opponent” conditions. Findingsare indicating that fuzzy VIKOR multicriteria decision making method with pre-defined criteria can effectively be used to prescreen job applications.

Keywords

Recruitment, Prescreening, Fuzzy Logic, VIKOR, Multi Criteria Decision Making