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Data or Business First? : Manufacturers' Transformation toward Data-Driven Business Models

Title data

Stahl, Bastian ; Häckel, Björn ; Leuthe, Daniel ; Ritter, Christian:
Data or Business First? : Manufacturers' Transformation toward Data-Driven Business Models.
In: Schmalenbach Journal of Business Research. Vol. 75 (2023) . - pp. 303-343.
ISSN 2366-6153

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Digital Value Network
No information
Projektgruppe WI Digitalisierung
No information

Abstract in another language

Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially different business and technical capabilities. While there are manifold contributions to research on technical capability development, an integrated and aligned perspective on both business and technology capabilities for distinct data-driven business model archetypes is needed. This perspective promises to enhance research’s understanding of this transformation and offers guidance for practitioners. As maturity models have proven to be valuable tools in capability development, we follow a design science approach to develop a maturity model for the transformation toward archetypal data-driven business models. To provide an integrated perspective on business and technology capabilities, the maturity model leverages a layered enterprise architecture model. By applying and evaluating in use at two manufacturers, we find two different transformation approaches, namely 'data first' and 'business first’. The resulting insights highlight the model’s integrative perspective’s value for research to improve the understanding of this transformation. For practitioners, the maturity model allows a status quo assessment and derives fields of action to develop the capabilities required for the aspired data-driven business model.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Data-driven business models; data-driven services; data analytics; manufacturing; enterprise architecture
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 07 Feb 2023 10:22
Last Modified: 08 Nov 2023 12:11
URI: https://eref.uni-bayreuth.de/id/eprint/73600