A cross-sector comparative analysis of a multidimensional framework of value creation through big data

dc.contributor.authorBayrak Meydanoğlu, Ela Sibel
dc.contributor.authorTeodorescu, Margareta
dc.date.accessioned2024-04-22T16:06:34Z
dc.date.available2024-04-22T16:06:34Z
dc.date.issued2023
dc.departmentTAÜ, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümüen_US
dc.description.abstractIn our world, where information and communication technologies are reshaping and continuing to shape every field, it is clear that enterprises that can follow the flow of information, grind the information they collect in information mills, and provide intelligence by using their internal and external information, can adapt to changing conditions in a timely and effective manner in proportion to its power. At this point, the aim is to automate the realization of this whole process to the greatest possible extent. In this context, the important developments in the last 20 years have been focusing on business intelligence, big data, deep learning, reinforcement learning, data intelligence, decision intelligence, automated decision-making, and other concepts and the development of application tools. From this point of view, under the title of “Data-driven decisions in enterprises – implications for business education and cases,” papers collected from various universities worldwide are included in this conference proceedings.
dc.identifier.citationBayrak Meydanoğlu, Ela S., Teodorescu, M. (2023). A cross-sector comparative analysis of a multidimensional framework of value creation through big data. Data-driven decisions in enterprises - implications for business education and cases içerisinde 39-66. Peter Lang.
dc.identifier.doi10.3726/b20350
dc.identifier.endpage66en_US
dc.identifier.isbn9783631878712
dc.identifier.startpage39en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1111
dc.language.isoen
dc.publisherPeter Lang
dc.relation.ispartofData-driven decisions in enterprises - implications for business education and cases
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectAugmented realityen_US
dc.subjectSocial sustainabilityen_US
dc.subjectHuman resource managementen_US
dc.subjectFinanceen_US
dc.titleA cross-sector comparative analysis of a multidimensional framework of value creation through big data
dc.typeBook Part

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