Vatankhah, Sanaz, Roodbari, Hamid, Rahimi, Roya and Oraee, Atrina (2024) Decoding organisational attractiveness: a fuzzy multi-criteria decision-making approach. International Journal of Contemporary Hospitality Management. ISSN 0959-6119
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Additional Information: | © 2024 Emerald Publishing Limited |
| Divisions: | Psychological and Behavioural Science |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor B Philosophy. Psychology. Religion > BF Psychology |
| Date Deposited: | 04 Nov 2024 17:25 |
| Last Modified: | 18 Nov 2024 20:24 |
| URI: | http://eprints.lse.ac.uk/id/eprint/125943 |
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