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Understanding the Machine Economy : Combining Findings From Science and Practice

Title data

Duda, Sebastian ; Stoetzer, Jens-Christian ; Guggenberger, Tobias ; Urbach, Nils:
Understanding the Machine Economy : Combining Findings From Science and Practice.
In: International Journal of Innovation and Technology Management. (2024) .
ISSN 0219-8770

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI BLockchain-Labor
No information
Projektgruppe WI IoT
No information
Projektgruppe WI Künstliche Intelligenz
No information
Projektgruppe WI Strategisches IT-Management
No information

Abstract in another language

The machine economy is an emergent phenomenon that combines multiple emerging digital technologies, such as IoT, AI, or blockchain, enabling economically autonomous acting machines. We investigate this phenomenon by combining a literature review and a qualitative interview study across different industries to derive propositions about the machine economy. Finally, we develop a five-layer model of the machine economy from our propositions that helps academia and practice to further explore this emerging phenomenon. Our results indicate that the machine economy builds on several emerging digital technologies and becomes increasingly relevant for practice and academia.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Machine Economy; Machine-to-Machine (M2M) Communication; Economy of Things; Propositions; Layer Model
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
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
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: 10 Apr 2024 11:14
Last Modified: 10 Apr 2024 11:14