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Optimising resource utilisation in TNE franchise networks: a data envelopment analysis-based approach

dc.contributor.authorTran, Nguyen Hai Ngan
dc.contributor.authorDass, Rajinder
dc.contributor.authorAmado, Carla
dc.contributor.authorPereira dos Santos, Sérgio
dc.date.accessioned2025-12-12T14:33:26Z
dc.date.available2025-12-12T14:33:26Z
dc.date.issued2025-11-17
dc.description.abstractPurpose – Franchising programmes in higher education institutions (HEIs) face critical challenges in optimising resource use, enhancing productivity and ensuring effectiveness acrosstransnational networks. This study evaluates the performance of 18 franchise programmes within a single transnational higher education (TNE) network in three dimensions: admission efficiency, teaching efficiency and teaching effectiveness. Design/methodology/approach – Using a three-stage data envelopment analysis (DEA) model, this study examinesresource utilisation, efficiency-effectivenesstrade-offs and managerial performance gapsin businessrelated undergraduate programmes within a British university’s TNE network. The model enables internal benchmarking and real-world improvement mapping tailored to specific input–output dynamics. Findings – The results reveal marked performance heterogeneity, with only a single programme achieving maximumscores across all three dimensions.Admission efficiency emerged as a critical constraint, indicating room for scaling student recruitment without additional resources. Notable trade-offs across performance dimensions were identified, pushing for differentiated improvement strategies. High-performing programmes also serve as performance benchmarks, offering operational and managerial insight for cross-learning across the network. Originality/value – This study contributes to the performance management literature by creatively applying DEA within the specialised context of franchised TNE networks, a previously underexplored area in productivity research. It introduces a multidimensional staged DEA framework that captures efficiency– effectiveness trade-offs and supports performance benchmarking. Our findings contribute both theoretical advances in performance science and practical tools for academic network governance, offering actionable guidance for enhancing efficiency and effectiveness in TNE delivery systems.eng
dc.identifier.doi10.1108/ijppm-12-2024-0879
dc.identifier.eissn1758-6658
dc.identifier.issn1741-0401
dc.identifier.urihttp://hdl.handle.net/10400.1/27952
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEmerald
dc.relationCenter for Advanced Studies in Management and Economics
dc.relation.ispartofInternational Journal of Productivity and Performance Management
dc.rights.uriN/A
dc.subjectTransnational higher education
dc.subjectFranchising network
dc.subjectDEA
dc.subjectEfficiency
dc.subjectEffectiveness
dc.subjectHigher education benchmarking
dc.titleOptimising resource utilisation in TNE franchise networks: a data envelopment analysis-based approacheng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Advanced Studies in Management and Economics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04007%2F2020/PT
oaire.citation.titleInternational Journal of Productivity and Performance Management
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAmado
person.familyNamePereira dos Santos
person.givenNameCarla
person.givenNameSérgio
person.identifier.ciencia-id2919-AB70-B8D8
person.identifier.ciencia-idD81F-2E2A-9046
person.identifier.orcid0000-0001-6944-5129
person.identifier.orcid0000-0001-9811-3799
person.identifier.ridA-9854-2011
person.identifier.scopus-author-id26534002400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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relation.isAuthorOfPublicationebe16fd2-b979-4745-a429-026430cc8742
relation.isAuthorOfPublication.latestForDiscovery8c2831d4-918c-486f-b5da-f41fe3f53eff
relation.isProjectOfPublication2fa5dcac-9207-4f5b-b4be-54fcf7dcdd7d
relation.isProjectOfPublication.latestForDiscovery2fa5dcac-9207-4f5b-b4be-54fcf7dcdd7d

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