Paper Info
Title
Patterns of Data-Infused Business Model Innovation
Abstract
Business models have been a concept widely discussed over the last 20 years. The increasing availability of data and the growing capability to exploit them with analytics has sparked a new set of discussions, though: it is claimed that data and analytics bring to bear entirely new "data-based" or "data-driven" business models. However, there is neither a common understanding of these business models nor of the ways existing business models are transformed into those. This paper aims to create a coherent framework and common understanding of the infusion of business models by data and analytics. Contrasting popular views, our conceptual analysis reveals that there are no data-driven business models per se, instead, the utilization of data and analytics opens a "continuum" of transformation options for business models. We identify five distinct patterns in which the use of data may alter the business model, illustrate them with representative case studies and evaluate the patterns analyzing a sample of 115 industry business models. This paper will contribute to the fundamental understanding of how the use of data and the application of analytics may trigger business model innovation. The identified patterns will provide guidance to practitioners on how to utilize (big) data and analytics, in particular to draw attention to those that still seem underutilized for innovation. The developed pattern concept will also open up a broad agenda for future research.
Year
DOI
Venue
2016
10.1109/CBI.2016.23
2016 IEEE 18th Conference on Business Informatics (CBI)
Keywords
Field
DocType
business models,data,analytics,service innovation,big data
Data science,New business development,Artifact-centric business process model,Business analytics,Engineering,Analytics,Business intelligence,Business transformation,Business rule,Business analysis
Conference
Volume
ISSN
ISBN
01
2378-1963
978-1-5090-3232-7
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Ronny Schüritz100.68
Gerhard Satzger29923.89