Publication
Optimising resource utilisation in TNE franchise networks: a data envelopment analysis-based approach
| dc.contributor.author | Tran, Nguyen Hai Ngan | |
| dc.contributor.author | Dass, Rajinder | |
| dc.contributor.author | Amado, Carla | |
| dc.contributor.author | Pereira dos Santos, Sérgio | |
| dc.date.accessioned | 2025-12-12T14:33:26Z | |
| dc.date.available | 2025-12-12T14:33:26Z | |
| dc.date.issued | 2025-11-17 | |
| dc.description.abstract | Purpose – 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.doi | 10.1108/ijppm-12-2024-0879 | |
| dc.identifier.eissn | 1758-6658 | |
| dc.identifier.issn | 1741-0401 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/27952 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Emerald | |
| dc.relation | Center for Advanced Studies in Management and Economics | |
| dc.relation.ispartof | International Journal of Productivity and Performance Management | |
| dc.rights.uri | N/A | |
| dc.subject | Transnational higher education | |
| dc.subject | Franchising network | |
| dc.subject | DEA | |
| dc.subject | Efficiency | |
| dc.subject | Effectiveness | |
| dc.subject | Higher education benchmarking | |
| dc.title | Optimising resource utilisation in TNE franchise networks: a data envelopment analysis-based approach | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Center for Advanced Studies in Management and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04007%2F2020/PT | |
| oaire.citation.title | International Journal of Productivity and Performance Management | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Amado | |
| person.familyName | Pereira dos Santos | |
| person.givenName | Carla | |
| person.givenName | Sérgio | |
| person.identifier.ciencia-id | 2919-AB70-B8D8 | |
| person.identifier.ciencia-id | D81F-2E2A-9046 | |
| person.identifier.orcid | 0000-0001-6944-5129 | |
| person.identifier.orcid | 0000-0001-9811-3799 | |
| person.identifier.rid | A-9854-2011 | |
| person.identifier.scopus-author-id | 26534002400 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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