Infrastructural or organizational decentralization? Developing a typology of blockchain ventures
Chloé Ipert and
René Mauer
Technological Forecasting and Social Change, 2023, vol. 197, issue C
Abstract:
Blockchain technology, an institutional innovation, has been a growing research area in recent years, especially within the information system literature. If it brings along opportunities for entrepreneurs, there is no such thing as a theory of blockchain ventures yet. Blockchain technology drives the emergence of unprecedented types of ventures, with varying degrees of decentralization, both from an infrastructural and organizational perspective. However, there is no consistency regarding the definitions and labels used to refer to blockchain ventures. This paper proposes a definition of blockchain ventures and provides a typology distinguishing four ideal types of blockchain ventures. Our findings reveal that blockchain ventures do not inherently entail either organizational or infrastructural decentralization. They contribute to a better understanding of the diverse nature of blockchain ventures and their implications.
Keywords: Blockchain; Entrepreneurship; Decentralization; Typology; Organizations (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523005334
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005334
DOI: 10.1016/j.techfore.2023.122848
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().