Data-driven business model innovation : about barriers and new perspectives
- Today, data are increasing in importance for firms trying to create and maintain a competitive advantage. As value creation is highly dependent on this key resource, data, the necessity of re-designing firms’ business models arises. By conducting and analyzing 58 in-depth interviews, we contribute a distinct set of barriers to data-driven business model innovation showing how data-related, technology-related, aversions and regulatory hurdles are the most challenging. Based on six focus groups that discussed these findings, participants identified the necessity for a change in companies’ firm-centered perspectives on business. Hence, we propose a model of data-driven business ecosystems that aims to provide guidance for conducting successful business in a data-driven world.
Document Type: | Article |
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Language: | English |
Author: | Tim MosigORCiD, Claudia Lehmann, Anne-Katrin Neyer |
Chairs and Professorships: | Chair of Digital Innovation in Service Industries |
DOI: | https://doi.org/10.1142/S0219877020400179 |
Parent Title (English): | International Journal of Innovation and Technology Management |
ISSN: | 0219-8770 |
Volume: | 18 |
Issue: | 2 |
Year of Completion: | 2021 |
Page Number: | 2040017 |
Tag: | Business ecosystems; Data-driven business model innovation; Open innovation |
Content Focus: | Academic Audience |
Peer Reviewed: | Yes |
Rankings: | AJG Ranking / 1 |
VHB Ranking / C | |
SJR Ranking / Q3 | |
Licence (German): | ![]() |