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dc.contributor.editorPedro García Márquez, Fausto
dc.date.accessioned2021-04-20T16:09:59Z
dc.date.available2021-04-20T16:09:59Z
dc.date.issued2020
dc.identifierONIX_20210420_9781838801007_2671
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/67312
dc.description.abstractApplication of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniquesen_US
dc.subject.otherManagement decision making
dc.titleApplication of Decision Science in Business and Management
dc.typebook
oapen.identifier.doi10.5772/intechopen.83336
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781838801007
oapen.relation.isbn9781838800994
oapen.relation.isbn9781838807641
oapen.imprintIntechOpen
oapen.pages246


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