A Cross- Sector Comparative Analysis of a Multidimensional Framework of Value Creation through Big Data

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dc.contributor.authorTeodorescu, Margareta
dc.contributor.authorBayrak Meydanoğlu, Ela Sibel
dc.date.accessioned2025-02-20T08:46:32Z
dc.date.available2025-02-20T08:46:32Z
dc.date.issued2023
dc.departmentTürk-Alman Üniversitesien_US
dc.description.abstractCurrently, there are several definitions of the concept “big data.” However, most scholars and practitioners as well use a descriptive model known as the 5V’s to define big data. The term “V” stands, respectively, for “Volume,” “Velocity,” “Variety,” “Veracity” and “Value.” The last of all these Vs, “Value,” focuses on the magnitude by which big data generates useful insights, perspectives, and benefits, thus leading companies to make better decisions and achieve competitive advantages. Despite the rapid spread of big data in recent years and the increasing interest that companies have in the big data paradigm and value creation through the development and adoption of big data solutions, the element “Value” has not yet been sufficiently investigated and represents an open issue for both researchers and business professionals. This study focuses on the element “Value” and presents a cross- sector comparative analysis by using a multidimensional framework for value creation through big data to evaluate how big data can generate new value for companies in the financial services and automotive sectors. The implication of this study can be twofold. From a research perspective, the proposed framework can be seen as a systematic approach to illustrate how companies can create value and improve their decision- making by adopting the big data paradigm. From a practitioner`s point of view, the cross- sector comparative analysis may support managers and business executives in better understanding and defining the strategic perspective of innovative projects based on big data technologies. © Peter Lang GmbH Internationaler Verlag der Wissenschaften Berlin 2023. All rights reserved.
dc.identifier.endpage66en_US
dc.identifier.isbn978-363189292-3
dc.identifier.isbn978-363187871-2
dc.identifier.scopus2-s2.0-85152315590
dc.identifier.startpage39en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1789
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPeter Lang Publishing Group
dc.relation.ispartofData driven decisions in enterprises-implications for business education and cases
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250220
dc.subjectBig dataen_US
dc.subjectcase study researchen_US
dc.subjectcross- sector comparative analysisen_US
dc.subjectdata- driven decisionsen_US
dc.subjectmultidimensional frameworken_US
dc.subjectvalue creationen_US
dc.titleA Cross- Sector Comparative Analysis of a Multidimensional Framework of Value Creation through Big Data
dc.typeBook Part

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