Perrelet, Simon; Fill, Hans-Georg; Dibbern, Jens (4 January 2022). A Modeling Approach for Blockchain-inspired Business Models: An Extension of the e3 -Value Method. In: Hawaii International Conference on System Sciences 2022 (pp. 4581-4590). HICSS
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Blockchain enables new ways of organizing
economic activities. Blockchain promises to reduce
costs and time associated with intermediaries and
strengthen trust in an ecosystem of actors. The impact
of this promising technology is reflected in an emerging
stream of research and various companies exploring the
potential uses of blockchain technology and building
new blockchain-inspired business models. While there
are promising use cases of this new technology, research
and practice are still in their early stages in terms of
changing existing and creating new business models.
We propose an extension of the e3
-value method
to capture and represent the characteristics of
blockchain-inspired business models. The approach
is particularly useful for the value-based analysis
of blockchain-inspired business models and the
fundamental economic evaluation of these. It
provides the foundation for capturing, communicating,
innovating and experimenting with blockchain-inspired
business models. We demonstrate the practicality of the
extended e3-value method by evaluating and applying it
to an existing blockchain business model.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems 03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Engineering |
UniBE Contributor: |
Perrelet, Simon Noé, Dibbern, Jens |
Subjects: |
000 Computer science, knowledge & systems 600 Technology > 650 Management & public relations 300 Social sciences, sociology & anthropology > 330 Economics |
Publisher: |
HICSS |
Language: |
English |
Submitter: |
Luca Giacomelli |
Date Deposited: |
11 Aug 2022 12:27 |
Last Modified: |
05 Dec 2022 16:22 |
BORIS DOI: |
10.48350/171738 |
URI: |
https://boris.unibe.ch/id/eprint/171738 |
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