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dc.contributor.authorMcBride, Neilen
dc.date.accessioned2017-03-14T11:56:06Z
dc.date.available2017-03-14T11:56:06Z
dc.date.issued2013-10-29
dc.identifier.citationMcBride,N. (2014) Business Intelligence in Magazine Distribution. International Journal of Information Management, 34 (1). pp. 58-62en
dc.identifier.urihttp://hdl.handle.net/2086/13567
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractThis case discusses the use of business intelligence systems in the running and optimisation of magazine distribution by a UK company. The company collects a wide range of data to help it monitor and optimise a supply chain involving subcontractors. The case study raises a number of issues which are discussed. It illustrates the variety of forces which are driving companies to adopt business intelligence systems. It demonstrates how business intelligence systems can help run business processes. It explores the problems and issues with sourcing, collecting and cleaning data. Issues around anonymisation and the concept of a ‘single version of the truth’ are discussed and ethical issues highlighted. It concludes that an understanding of the role of interpretation in data collection, collation and subsequent decision making is critical to business intelligence and calls for more research in this area.en
dc.publisherPergamonen
dc.subjectBusiness intelligence; Information interpretation; Small enterprise supply chainen
dc.subjectBusiness intelligenceen
dc.subjectInformation interpretationen
dc.subjectSmall enterprise supply chainen
dc.titleBusiness Intelligence in Magazine Distributionen
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1016/j.ijinfomgt.2013.09.006
dc.researchgroupCentre for Computing and Social Responsibilityen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2013-09-26en
dc.researchinstituteCentre for Computing and Social Responsibility (CCSR)en


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