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Understanding the Anatomy of Analytics-Based Services – A Taxonomy to Conceptualize the Use of Data and Analytics in Services [in press]

Hunke, Fabian; Engel, Christian; Schüritz, Ronny; Ebel, Philipp

Abstract (englisch):
The abundance of data accompanied by advances in analytics technologies increasingly drive companies to introduce analytics-based services, i.e. customer-facing services in which data and analytics help customers make decisions. Despite its growing application in practice, theoretical and conceptual work on analytics-based services is still scarce. In this paper, we develop a taxonomy of analytics-based services unveiling their conceptually grounded and empirically validated characteristics. Applying an established taxonomy building method, we draw upon an analysis of 85 use cases of analytics-based services. The results of an expert evaluation indicate both the usefulness and robustness of our taxonomy. The developed taxonomy of analytics-based services contributes in two ways: First, we add to the descriptive knowledge on this new service type, establish a common language among researchers and equip them with the means to analyze analytics-based services in a structured manner – thus laying the foundation for a deeper theorizing process in the future. Second, we provide a concrete conceptualization of analytics-based services for ... mehr

Zugehörige Institution(en) am KIT Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Jahr 2019
Sprache Englisch
Identifikator KITopen-ID: 1000093885
Erschienen in ECIS 2019 Proceedings
Veranstaltung 27th European Conference on Information Systems (ECIS 2019), Stockholm, Schweden, 08.06.2019 – 14.06.2019
Schlagworte Analytics-based Service, Taxonomy, Service Advancement
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