Developing sustainable competitive advantages from the lens of resource-based view:evidence from IT sector of an emerging economy


The present study examines the IT industry’s sustainable competitive advantages (CAs) from a resource-based view (RBV). Therefore, a list of CAs in three areas of the triple bottom line (TBL), including economic, social, and environmental, are extracted by thoroughly studying the relevant literature. These attributes are then evaluated by small and medium enterprises (SMEs) managers in the IT sector by implementing a Multi-level hybrid Decision-Making approach. This step employs a modified Delphi technique combined with linguistic z-numbers. Further, by reviewing the literature, the list of intangible resources is counted, and the importance of these resources is measured via the linguistic z-number BWM (Best Worst Method). Finally, the degree of the controllability of critical CAs is prioritised by z-number TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and then classified found on the resources. Consequently, different classes are discussed, and appropriate strategies for dealing with each are presented.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
College of Business and Social Sciences > Aston Business School > Centre for Personal Financial Wellbeing
Additional Information: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords: Sustainable competitive advantage,resource-based view,linguistic z-numbers,BWM,TOPSIS,modified delphi
Publication ISSN: 1466-4488
Last Modified: 18 Jul 2024 07:18
Date Deposited: 04 Jan 2023 16:46
Full Text Link:
Related URLs: https://www.tan ... 4X.2022.2160485 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-12-25
Published Online Date: 2022-12-25
Accepted Date: 2022-12-13
Authors: Abbasi Kamardi, Ali Asghar
Amoozad Mahdiraji, Hannan
Masoumi, Samira
Jafari-Sadeghi, Vahid (ORCID Profile 0000-0003-3083-6119)



Version: Published Version

License: Creative Commons Attribution

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