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dc.contributor.authorMishra, N.
dc.contributor.authorSingh, A.
dc.contributor.authorRana, Nripendra P.
dc.contributor.authorDwivedi, Y.K.
dc.date.accessioned2020-09-26T09:26:51Z
dc.date.accessioned2020-10-07T13:23:01Z
dc.date.available2020-09-26T09:26:51Z
dc.date.available2020-10-07T13:23:01Z
dc.date.issued2017-07
dc.identifier.citationMishra N, Singh A, Rana NP et al (2017) Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique. Production Planning and Control. 28(11-12): 945-963.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18094
dc.descriptionYesen_US
dc.description.abstractThe food retailers have to make their supply chains more customer-driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s opinion in the form of structured data collected from various means such as conducting market survey, customer interviews and market research to explore the interrelationships among factors influencing consumer purchasing behaviour and associated supply chain. However, there is abundance of unstructured consumer’s opinion available on social media (Twitter). Usually, retailers struggle to employ unstructured data in above decision-making process. In this paper, firstly, by the help of literature and social media Big Data, factors influencing consumer’s beef purchasing decisions are identified. Thereafter, interrelationships between these factors are established using big data supplemented with ISM and Fuzzy MICMAC analysis. Factors are divided as per their dependence and driving power. The proposed frameworks enable to enforce decree on the intricacy of the factors. Finally, recommendations are prescribed. The proposed approach will assist retailers to design consumer centric supply chain.en_US
dc.description.sponsorshipProject ‘A cross country examination of supply chain barriers on market access for small and medium firms in India and UK’ (Ref no: PM130233) funded by British Academy, UK.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1080/09537287.2017.1336789en_US
dc.rights© 2017 Informa UK Limited, trading as Taylor & Francis group. The Version of Record of this manuscript has been published and is available in Production Planning and Control, 11 Jul 2017. https://doi.org/10.1080/09537287.2017.1336789.en_US
dc.subjectBig dataen_US
dc.subjectInterpretive structural modelling (ISM)en_US
dc.subjectFuzzy MICMACen_US
dc.subjectBeef supply chainen_US
dc.subjectTwitteren_US
dc.titleInterpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data techniqueen_US
dc.status.refereedYesen_US
dc.date.Accepted2017-05-15
dc.date.application2017-07-11
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2020-09-26T08:27:01Z
refterms.dateFOA2020-10-07T13:24:01Z


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