Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/4360
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dc.contributor.authorDr. CHAN Chi Onen_US
dc.contributor.authorSZETO Wing Fu, Rickyen_US
dc.contributor.authorLiu, Owenen_US
dc.date.accessioned2017-08-18T07:42:34Z-
dc.date.available2017-08-18T07:42:34Z-
dc.date.issued2017-
dc.identifier.citationInternational Journal of Information Systems and Supply Chain Management, 2017, vol. 10(3), pp. 44-64.en_US
dc.identifier.issn1935-5726-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/4360-
dc.description.abstractThe mismatch between supply and demand always exists within the supply chain and among retail stores. This situation is even worse for SMEs who work without state-of-the-art technologies, especially in terms of quantitative demand and size distribution in fashion industry. In this paper, we develop a cloud computing and smart device (CCSD) model to address the stochastic deviation between supply and demand. A computational experiment proves that the performance of inventory management in the supply chain and among retail stores can be significantly improved by application of CCSD, irrespective of demand and size distribution. In this paper, we illustrate its benefits for both normal and right-skewed demand distribution. We find that different stages in supply chain can also be coordinated by using the CCSD platform. The results show that using all-channel communication network through CCSD increases the information sharing performance.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Information Systems and Supply Chain Managementen_US
dc.titleDeveloping information sharing model using cloud computing and smart devices for SMEs supply chain: A case in fashion retailen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.4018/IJISSCM.2017070103-
item.fulltextNo Fulltext-
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