Abstract
In information technology (IT) service industry, essential task of a human resource (HR) manager is to form an efficient team involving different job roles from a pool of candidates who can satisfy business requirements. For this purpose, the HR department performs candidate recruitment and selection process. This article attempts to develop a mathematical and reliable approach using the analytic hierarchy process (AHP)-linear programming (LP) for building an efficient software project team by breaking the interview process of candidate selection into two parts. In the first phase, interviewers are responsible only for evaluating candidates based on different parameters. In the second phase, HR manager collates all data from the selection process and then applies proposed mathematical model to make final decision on candidate selection or rejection. The proposed application of AHP into team formation will improve the decision-making process involved in hiring when multiple interviewers assess candidates through interview. Finally, decisions are taken for finalizing team by incorporating all financial and strategic constraints using LP.
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