Logistics specialist selection with intuitionistic fuzzy TOPSIS method
Gültekin Altuntaş and
Bahadir Fatih Yildirim
International Journal of Logistics Systems and Management, 2022, vol. 42, issue 1, 1-34
Abstract:
In a globally competitive environment, businesses, regardless of size, scale and industry, have to develop a base on their human capital to ensure their survival, sustainable competitive advantage and superior performance. Therefore, this study aims to propose an approach to the personnel selection (PS) problem in a highly unstable industry of logistics in an emerging market, with a real case and in a group decision-making environment. Intuitionistic fuzzy (IF) TOPSIS method with a set of six criteria developed by a group of eight experts and evaluated by three managers in different levels of a logistics business, has been applied to six candidates to fulfil a vacant position of 'logistics specialist'. It concludes that 'communication/negotiation skills', 'analytical thinking', 'graduation', 'professional experience', 'teamwork', 'computer literacy', and 'fluency in foreign language(s)' are the criteria to be employed as a 'logistics specialist' with respect to their relative weights. Based on such criteria, the candidates are ranked respectively and the most appropriate one is recommended for employment.
Keywords: personnel selection; logistics specialist; intuitionistic fuzzy; TOPSIS; MCDM. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://www.inderscience.com/link.php?id=123513 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:42:y:2022:i:1:p:1-34
Access Statistics for this article
More articles in International Journal of Logistics Systems and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().