Optimum acceptability of recruitment systems: a new multi-criteria approach on human resources

María Romero, Luis Romero, María Luisa Cuadrado and María Isabel De Corcuera

International Journal of Business Innovation and Research, 2015, vol. 9, issue 6, 682-697

Abstract: Companies today do not have one specific, reliable method for optimally selecting a candidate for a job post. This paper proposes an aggregate acceptability index in order to help companies to establish a 'ranking' of potential candidates in the recruitment processes conducted by the human resources departments. The main advantages of the proposed aggregation index are the following: 1) it takes into account several selection criteria; 2) the procedure for calculating the index is simple; 3) the potential candidates can be ranked differently depending on the aggregation structure of the criteria involved. Our theory is applied in a recruitment process based on 15 interviews with potential candidates for a post of responsibility in a finance company. The proposed method is used to hierarchically sort the candidates under consideration according to the company's requirements. This methodology can be applied to the recruitment processes of any company that, based on its requirements, wants to determine the best candidate or candidates for a particular job.

Keywords: multicriteria decision making; MCDM; analytical hierarchy process; AHP; recruitment processes; aggregate acceptability index; compromise programming; distance functions; human resources; candidate selection; job candidates. (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbire:v:9:y:2015:i:6:p:682-697

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