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Developing an innovation capital index of global airlines using a hierarchical data envelopment analysis approach

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dc.citedby1
dc.contributor.authorYu M.-M.en_US
dc.contributor.authorAbdul Rashid A.en_US
dc.contributor.authorSee K.F.en_US
dc.contributor.authorid7404273246en_US
dc.contributor.authorid57225144776en_US
dc.contributor.authorid53464206000en_US
dc.date.accessioned2023-05-29T09:42:35Z
dc.date.available2023-05-29T09:42:35Z
dc.date.issued2022
dc.descriptionData envelopment analysis; Airline industry; Analysis approach; Business strategy; Geographical locations; Hierarchical data; Innovation capital; International comparison; Multi-dimensional settings; Air transportationen_US
dc.description.abstractThis study proposes an effectiveness-based hierarchical data envelopment analysis (H-DEA) method to endogenously assign weights with the purpose of aggregating subcategories for an innovation capital index in the global airline industry. The study comprises airlines ranked in the World's Top 100 Airlines in 2018. The effectiveness-based H-DEA results provide evidence that there are opportunities for airlines to improve their innovation capital index, on average, by 48%. Relatively low scores in the internal capital category are identified as the major contributor to the poor innovation capital index, and the optimal scores and weights of the innovation capital index are found to differ by geographical location. Effectiveness-based H-DEA offers an alternative method for determining the optimal weight of an innovation capital index in a multidimensional setting for international comparison. The flexible weight can help each airline to focus on the critical innovation capital categories requiring improvement to create an effective business strategy. To the best of the authors' knowledge, to date, no studies have focussed on innovation capital in the airline industry. This study also provides a detailed discussion on how to assess the innovation capital index in the global airline industry specifically using the effectiveness-based H-DEA method. � Operational Research Society 2021.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1080/01605682.2021.1923378
dc.identifier.epage1723
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85109263526
dc.identifier.spage1708
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85109263526&doi=10.1080%2f01605682.2021.1923378&partnerID=40&md5=ab53c0f3ad5c988de0d1518399c7e057
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27315
dc.identifier.volume73
dc.publisherTaylor and Francis Ltd.en_US
dc.sourceScopus
dc.sourcetitleJournal of the Operational Research Society
dc.titleDeveloping an innovation capital index of global airlines using a hierarchical data envelopment analysis approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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