Comparison of the analytic hierarchy process and the analytic network process in human resource management
by Stanislav Peregrin; Josef Jablonsky
International Journal of Human Resources Development and Management (IJHRDM), Vol. 21, No. 1, 2021

Abstract: Employee selection is one of the essential functions of human resource management. The main aim of the paper is to analyse the application of multiple criteria decision-making (MCDM) methods in the process of the employee recruitment process to establish frameworks that help accepting best decisions. Information about the candidates, which was acquired by managers during various kinds of testing and personal interviews at the assessment centre, constitutes the input data of our research. Subsequently, this information was processed and analysed using two of the most popular MCDM methods - the analytic hierarchy process (AHP) and the analytic network process (ANP). These were chosen because of their versatility and high efficiency in solving various types of decision-making problems. Finally, we compared the outcomes obtained by both methods. We discuss their potential for practical use. The application of AHP seems to be preferable for this group of problems because of its simplicity, and because less information is required from decision-makers.

Online publication date: Tue, 11-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Human Resources Development and Management (IJHRDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com