Data-Driven Business Models
Homner N, Bellin P, Fielt E, Matzner M (2024)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2024
Publisher: Elsevier
Edited Volumes: International Encyclopedia of Business Management
ISBN: 9780443157851
DOI: 10.1016/B978-0-443-13701-3.00310-8
Abstract
This article provides an overview of Data-Driven Business Models (DDBMs), which are business models that include data as their key resource. In general, business models delineate how a company creates and captures customer value. With the integration of data, companies can innovate their business models. There are six dimensions of DDBMs to consider: data resources, key activities, offering, customer segment, revenue model and cost structure. Typically, these dimensions involve three stakeholder groups: data providers, data facilitators and data users. The development of DDBMs often covers different stages: first, the DDBM concepts are technically and economically validated, next a Minimum-Viable Product is created, then it is launched into the market and is scaled across different ecosystems. The created value of a DDBM (e.g., support for decision making) can be captured by direct and indirect methods such selling data as a new product or including data into an existing service. The article concludes with examples of DDBMs.
Authors with CRIS profile
Norbert Homner
Lehrstuhl für Digital Industrial Service Systems
Pepe Bellin
Lehrstuhl für Digital Industrial Service Systems
Martin Matzner
Lehrstuhl für Digital Industrial Service Systems
Involved external institutions
Australia (AU)How to cite
APA:
Homner, N., Bellin, P., Fielt, E., & Matzner, M. (2024). Data-Driven Business Models. In International Encyclopedia of Business Management. Elsevier.
MLA:
Homner, Norbert, et al. "Data-Driven Business Models." International Encyclopedia of Business Management. Elsevier, 2024.
BibTeX: Download