Author
Listed:
- Kariyawasam Pinikahana Gamage Lahiru Sandaruwan
(Doctoral School of Economics and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Szent István Campus, Páter Károly u. 1, 2100 Gödöllő, Hungary
National Aquatic Resources Research and Development Agency, Crow Island, Mattakkuliya, Colombo 00500, Sri Lanka)
- Robert Jeyakumar Nathan
(Centre for Management and Marketing Innovation, CoE for Business Innovation and Communication, Multimedia University, Cyberjaya 63100, Selangor, Malaysia
Academies Australasia College, Middle Road, Singapore 188954, Singapore)
- Shavindya Laksirini Sumanasekara
(Sri Lanka Export Development Board, No. 42 Nawam Mawatha, Colombo 00200, Sri Lanka)
- Thomas Ntangere
(Doctoral School of Economics and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Szent István Campus, Páter Károly u. 1, 2100 Gödöllő, Hungary)
- Maria Fekete Farkas
(Doctoral School of Economics and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Szent István Campus, Páter Károly u. 1, 2100 Gödöllő, Hungary
Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)
Abstract
Background : Studies of fish supply chain efficiency often rely on price spreads or frontier-based measures, which do not fully capture actor-level coordination performance in heterogeneous, informal supply chains. This study addresses this gap by developing a composite Market Efficiency Index (MEI) that integrates financial performance, operational quality, service equity, and relational governance. Methods : The MEI, a multidimensional alternative to frontier-based measures, was developed and applied to data collected from 250 supply chain actors in Sri Lanka. Results : The results show a clear efficiency gradient along the supply chain, with fishers scoring the lowest (MEI = 0.44), intermediaries moderate (MEI = 0.54), and retailers the highest (MEI = 0.67), yielding an overall system efficiency of 0.55 and relational governance emerging as the weakest system-level dimension. These results indicate persistent structural differences in value distribution and in how well the fish supply chain functions as a cohesive network, driven by liquidity constraints, information asymmetry, and weak cold-chain infrastructure. Conclusions : A multidimensional supply chain assessment provides a more effective basis for diagnosing coordination constraints and enables targeted digital interventions that offer feasible pathways to improve transparency, liquidity, and inclusiveness in smallholder-dominated fish supply chains.
Suggested Citation
Kariyawasam Pinikahana Gamage Lahiru Sandaruwan & Robert Jeyakumar Nathan & Shavindya Laksirini Sumanasekara & Thomas Ntangere & Maria Fekete Farkas, 2026.
"Digital Pathways to Efficiency: A Multi-Stakeholder Assessment of Sri Lanka’s Marine Fish Supply Chain Logistics,"
Logistics, MDPI, vol. 10(5), pages 1-35, May.
Handle:
RePEc:gam:jlogis:v:10:y:2026:i:5:p:111-:d:1940072
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