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Pregled bibliografske jedinice broj: 842144

Learning platform for supply chain system optimisation


Zdravko Zekić; Nataša Rupčić; Marijana Jakopič
Learning platform for supply chain system optimisation // International Journal of Logistics Systems and Management, 23 (2016), 1; 53-75 doi:10.1504/IJLSM.2016.073297 (međunarodna recenzija, članak, znanstveni)


Naslov
Learning platform for supply chain system optimisation

Autori
Zdravko Zekić ; Nataša Rupčić ; Marijana Jakopič

Izvornik
International Journal of Logistics Systems and Management (1742-7967) 23 (2016), 1; 53-75

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Supply chain learning partnerships ; organisational learning ; logistics system optimisation ; Agrokor

Sažetak
Fierce competition, dynamic market conditions and resource scarcity pose a constant demand on companies to redefine their business models in order to achieve competitive advantages. The paper offers a review of development trends in modern supply chain management with emphasis on strategic learning partnerships as a means for achieving supply chain competitive advantage. Organisational learning has been proposed as a technology for achieving long-term sustainability in strategic supply chain partnerships. However, in practice supply chain partnerships inadequately exploit established forms of cooperation as vehicles for learning and building knowledge repositories. This can be improved by introducing and optimising the process of organisational learning in every partnership member as well as a joint partnership activity. The study is aimed at proposing a conceptual model of the learning platform for supply chain optimisation. Potentials for its introduction have been estimated by using the case study of Agrokor, Croatian largest food concern.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekt / tema
13.02.1.3.06.

Ustanove
Ekonomski fakultet, Rijeka

Časopis indeksira:


  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • Social Services Abstracts
  • Scopus
  • Google Schoolar


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