Regenerative Supply Chain Through Digitalization in Diary

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dc.contributor.authorSarvari, Peiman Alipour
dc.contributor.authorMartin, Sebastien-Augustin
dc.contributor.authorBaskurt, Gulcan
dc.contributor.authorNozari, Mohammad
dc.contributor.authorKhadraoui, Djamel
dc.date.accessioned2024-03-13T10:30:31Z
dc.date.available2024-03-13T10:30:31Z
dc.date.issued2022
dc.departmentİstanbul Beykent Üniversitesien_US
dc.descriptionGlobal Joint Conference on Industrial Engineering and Its Application Areas (GJCIE) -- AUG 14-15, 2020 -- ELECTR NETWORKen_US
dc.description.abstractGlobally, enterprises are leveraging social media to promote their brands, monitor consumer trends, research new product ideas, drive business growth, and improve business processes. Integrating social media into existing supply chain networks is essential to provide instant access to real user data. This study defines tailored metrics by examining the current supply chain considering the data gathered from social media in order to have a re-designed supply chain based on the requirements defined by end-users alongside utilizing organizations' strategy, technology, process, and evaluation metrics. The target is to define a framework to take full advantage of intelligent automation in retail and consumer feedback for creating efficiency and creativity. As a case study, this study introduces a social data-driven causal analytics-based methodology that reflects Tweeter data for diagnosing supply chain management issues and determining its capabilities in a milk products company in Luxembourg.en_US
dc.description.sponsorshipLC Waikiki,Elginkan Fdn,Entertechen_US
dc.identifier.doi10.1007/978-3-030-76724-2_28
dc.identifier.endpage389en_US
dc.identifier.isbn978-3-030-76724-2
dc.identifier.isbn978-3-030-76723-5
dc.identifier.issn2198-0772
dc.identifier.startpage377en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-76724-2_28
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3398
dc.identifier.wosWOS:000759584900028en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofIndustrial Engineering In The Internet-Of-Things World, Gjcie 2020en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBig dataen_US
dc.subjectNatural language processingen_US
dc.subjectSupport vector machinesen_US
dc.subjectSupply chain managementen_US
dc.subjectSentiment analysisen_US
dc.subjectAgro-food supply chainen_US
dc.titleRegenerative Supply Chain Through Digitalization in Diaryen_US
dc.typeConference Objecten_US

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