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Big Data Analytics in Supply Chain Management: A Literature Review on Supply Chain Analytics

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dc.contributor.advisor Kongar, Elif
dc.contributor.author Duman, Gazi Murat
dc.date.accessioned 2017-04-06T18:48:51Z
dc.date.available 2017-04-06T18:48:51Z
dc.date.issued 2017-03-24
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1918
dc.description.abstract The amount of the data produced by the government, the private sector and the general public has been rising especially over the past decade. With this growing trend, utilizing big data to add value to organizations became a popular topic for the industry and academic research. Converting unorganized and unstructured big data to useful information is investigated under Big Data Analytics (BDA). BDA, when employed appropriately, offers great potential to organizations helping in creating well-defined and meaningful strategic planning process. Supply Chain Analytics (SCA) is a member of BDA with a narrower spectrum, concerned exclusively with supply chain and logistics operations. SCA utilizes various Big Data Analytics techniques such as future trend analysis and prediction and/or operational optimization to increase the overall performance of related activities. This study presents a comprehensive literature survey in the area of Supply Chain Analytics and defines the literature gap in the related area. en_US
dc.language.iso en_US en_US
dc.subject Big data en_US
dc.subject Data analysis en_US
dc.subject Supply chain management en_US
dc.title Big Data Analytics in Supply Chain Management: A Literature Review on Supply Chain Analytics en_US
dc.type Presentation en_US
dc.institute.department School of Business en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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