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To What Extent Will Blockchain Drive the Machine Economy? : Perspectives From a Prospective Study

Title data

Schweizer, André ; Knoll, Patricia ; Urbach, Nils ; van der Gracht, Heiko ; Hardjono, Thomas:
To What Extent Will Blockchain Drive the Machine Economy? : Perspectives From a Prospective Study.
In: IEEE Transactions on Engineering Management. Vol. 67 (April 2020) . - 15 S..
ISSN 0018-9391
DOI: https://doi.org/10.1109/TEM.2020.2979286

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
Projektgruppe WI BLockchain-LaborNo information

Abstract in another language

The advancements in the fields of IT and robotics are provoking the fourth industrial revolution and transforming our economy towards the machine economy. Billions of economically autonomous machines engaging in business relationships raise novel requirements regarding security, privacy, regulation, business models, trustful transaction processing, and interoperability. A technology that promises to provide solutions to these challenges is blockchain. Neither practice has spawned productive solutions nor has research been able to assess the phenomenon profoundly. First investigations focus on specific use cases, but existing work does not examine the overall impact and role of blockchain in the machine economy. However, this knowledge is of particular importance for various stakeholders. We address this research and knowledge gap by conducting a study with 50 blockchain and machin

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Blockchain; Delphi study; Distributed ledger technology; Machine economy; Prospective study
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 VII - Information Systems Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration VII - Information Systems Management > Chair Business Administration VII - Information Systems Management - Univ.-Prof. Dr. Torsten Eymann
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems Management and Strategic IT Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professor Information Systems Management and Strategic IT Management > Professor Information Systems Management and Strategic IT Management - Univ.-Prof. Dr. Nils Urbach
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & 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 Sep 2020 07:46
Last Modified: 10 Sep 2020 07:46
URI: https://eref.uni-bayreuth.de/id/eprint/56861