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- Optimising resource utilisation in TNE franchise networks: a data envelopment analysis-based approachPublication . Tran, Nguyen Hai Ngan; Dass, Rajinder; Amado, Carla; Pereira dos Santos, SérgioPurpose – 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.
- Collaborative bottom-up trust missions: a perspective on long-term strategies with and for people and naturePublication . Pelegrí, Josep L.; Bojanić, Natalia; Whyte, David; Pinto, Patrícia; Annasawmy, Pavanee; Burgues, Itziar; Bušelić, Ivana; Carbajal, Maria Elena; Fuster, Noemí; Giannoukakou-Leontsini, Ifigeneia; Hasler-Sheetal, Harald; Kaberi, Helen; Knigge, Thomas; Leitão, Francisco; Olivé, Irene; Palma, Jorge; Platzgummer, Emmanuelle; Quintana, Cintia O.; Simon, Carine; Tomaš, Ana VrdoljakThe environmental and climate crises are linked to rising global inequity. Because of its centrality in the living Earth, the Ocean represents a unique opportunity to restore equity, engaging society through harmony with Nature. The United Nation's Ocean Decade and European Union's Mission Ocean and Waters recognize this centrality, but have focused on top-down actions. Here, we advocate for collaborative Trust Missions, aimed at empowering citizens through networking and bottom-up transformative actions.
- GIS-based site selection for agricultural water reservoirs: a case study of São Brás de Alportel, PortugalPublication . Dziuba, Olga; Custódio, Cláudia; Silva, Carlos Otero; Granja Martins, Fernando Miguel; Lança, Rui; Maria Neto Paixão Vazquez Fernandez Martins, HelenaIn the São Brás de Alportel municipality, water scarcity poses a significant constraint on agricultural activities. This study utilises Remote Sensing (RS) and Geographical Information Systems (GISs) to identify existing irrigated areas, delineate catchment basins, and select the most suitable sites for the installation of new surface water reservoirs. First, the principal territorial components were characterised, including physical elements (climate, geology, soils, and hydrography) and anthropogenic infrastructure (road network and high-voltage power lines). Summer Sentinel-2 satellite imagery was then analysed to calculate the Normalised Difference Vegetation Index (NDVI), enabling the identification and classification of irrigated agricultural parcels. Flow directions and accumulations derived from Digital Elevation Models (DEMs) facilitated the characterisation of 38 micro-catchments and the extraction of 758 km of the drainage network. The siting criteria required a minimum setback of 100 m from roads and high-voltage lines, excluded farmland currently in use, and favoured mountainous areas with low permeability. Only 18.65% (2854 ha) of the municipality is agricultural land, of which just 4% (112 ha) currently benefits from irrigation. The NDVI-based classification achieved a Kappa coefficient of 0.88, indicating high reliability. Three sites demonstrated adequate storage capacity, with embankments measuring 8 m, 10 m, and 12 m in height. At one of these sites, two reservoirs arranged in a cascade were selected as an alternative to a single structure exceeding 12 m in height, thereby reducing environmental and landscape impact. The reservoirs fill between October and November in an average rainfall year and between October and January in a dry year, maintaining a positive annual water balance and allowing downstream plots to be irrigated by gravity. The methodology proved to be objective, replicable, and essential for the sustainable expansion of irrigation within the municipality.
- Correction: Din et al. AI-driven conservation of the endangered twisted yew (Taxus contorta Griff.) in the western himalaya.Publication . Din, Salahud; Ali, Haidar; Panagopoulos, Thomas; Alam, Jan; Malik, Saira; Sher, Hassan