Realizing Value with Data and Analytics: A Structured Literature Review on Classification Approaches of Data-Driven Innovations

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dc.contributor.authorKayser, Liza
dc.contributor.authorFruhwirth, Michael
dc.contributor.authorMueller, Roland M.
dc.date.accessioned2020-12-24T20:11:18Z
dc.date.available2020-12-24T20:11:18Z
dc.date.issued2021-01-05
dc.description.abstractDue to the growing importance of data-driven innovation, multiple streams of literature that offer varying definitions and frameworks for using data and analytics in innovation have emerged. This eventually resulted in synonymously used terminology and overlapping concepts leading to a lack of clarity and transparency. This paper investigates different aspects and variations of existing classification approaches, such as taxonomies, around data-driven innovations, and related fields. For this purpose, a systematic literature review was conducted. The resulting 30 publications were synthesized along the concepts type of study objects, type of output investigated as well as type of value dimension influenced by data and analytics. The review underlines the importance of connecting the different literature streams (e.g. data-driven or analytics business model innovation, or Analytics-as-a-Service) which emerged in recent years and hence developing a common language and knowledge basis around data-driven innovation.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.690
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71310
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management
dc.subjectclassification approaches
dc.subjectdata and analytics in innovation
dc.subjectdata-driven innovation
dc.subjectsystematic literature review
dc.subjectvalue dimension
dc.titleRealizing Value with Data and Analytics: A Structured Literature Review on Classification Approaches of Data-Driven Innovations
prism.startingpage5686

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Business Intelligence, Business Analytics and Big Data: Innovation, Deployment, and Management