Data-Driven Service Innovation: A Systematic Literature Review and Development of a Research Agenda
Type
conference paper
Date Issued
2019-06
Author(s)
Abstract
The potential created by ongoing developments in data and analytics permeates a multitude of research areas, such as the field of Service Innovation. In this paper, we conduct a Systematic Literature Review (SLR) to investigate the integration of data and analytics as an analytical unit into the field of Service Innovation – referred to as Data-Driven Service Innovation (DDSI). Overall, the SLR reveals three main research perspectives that span the research field of Data-Driven Service Innovation: Explorative DDSI, validative DDSI, and generative DDSI. This integrated theoretical framework describes the distinct operant roles of data analytics for Service Innovation, and thus contributes to the body of knowledge in the field of DDSI by providing three unified lenses, which researchers can use to describe and locate their existing and future research endeavors in this ample field. Building up on the insights from the SLR, a research agenda is proposed in order to trigger and guide further discussions and future research surrounding DDSI. Ultimately, this paper aims at contributing to the body of knowledge of Service Innovation in general and Data-Driven Service Innovation in particular by presenting a three-dimensional research space model structuring DDSI towards its advancement.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
Twenty-Seventh European Conference on Information Systems (ECIS2019)
Event Location
Stockholm, Sweden
Subject(s)
Division(s)
Contact Email Address
christian.engel@unisg.ch
Eprints ID
261898
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2019_Engel_Data-Driven Service Innovation A Systematic Literature Review and Development of a Research Agenda.pdf
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