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Towards a Taxonomy for Data-Driven Digital Services

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Title:Towards a Taxonomy for Data-Driven Digital Services
Authors:Rizk, Aya
Bergvall-Kåreborn, Birgitta
Elragal, Ahmed
Keywords:Digital Services and the Digitalization of Services
Digital service, Data-driven innovation, Taxonomy, Classification, Big data
Date Issued:03 Jan 2018
Abstract:Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/50022
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.135
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Digital Services and the Digitalization of Services


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