Decoding organisational attractiveness: a fuzzy multi-criteria decision-making approach

Sanaz Vatankhah, Hamid Roodbari, Roya Rahimi and Atrina Oraee

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Purpose High-skilled employees are crucial for sustained competitive advantage of organisations. In the “war for talent”, organisations must position themselves as attractive employers. This study aims to introduce a unified framework to systematically identify and prioritise organisational attractiveness (OA) components, focusing on the extreme context of the airline industry. Design/methodology/approach Treating OA as a multi-criteria decision-making (MCDM) situation, this study uses the Fuzzy Delphi Method to validate key OA factors and the Fuzzy Analytical Hierarchy Process to prioritise them based on experts’ judgements. Findings This study identifies 5 criteria and 22 sub-criteria for OA, with job characteristics and person–job fit as most critical. These elements signal employment quality and skill–job alignment, reducing information asymmetry and attracting talent. Practical implications This research provides a practical framework for airline managers to identify and prioritise key aspects of OA to enhance their value proposition and attract and retain qualified employees. For policymakers, applying the OA framework supports informed policy decisions on employment standards and workforce development. Originality/value This research introduces a fuzzy OA index and a framework that enhances OA. By incorporating signalling theory into a fuzzy MCDM approach, it systematically addresses key OA components, offering a strategic method to boost OA.

Keywords: airline industry; fuzzy MCDM; fuzzy theory; organisational attractiveness; talent management; AAM requested (search for similar items in EconPapers)
JEL-codes: J01 R14 (search for similar items in EconPapers)
Pages: 20 pages
Date: 2025-01-02
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Published in International Journal of Contemporary Hospitality Management, 2, January, 2025, 37(2), pp. 560 - 579. ISSN: 0959-6119

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