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Which type of ecosystem for distributed ledger technology?
Tech Univ Crete, Dept Prod Engn & Management, Univ Campus, Khania 73100, Greece..
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).ORCID iD: 0000-0003-0904-5822
Tech Univ Crete, Dept Prod Engn & Management, Univ Campus, Khania 73100, Greece..
2023 (English)In: Technology in society, ISSN 0160-791X, E-ISSN 1879-3274, Vol. 72, p. 102143-, article id 102143Article in journal (Refereed) Published
Abstract [en]

Distributed Ledger Technology (DLT), or the blockchain, enables new ways of inter-firm interaction in a net-worked environment. The economic community consisted of organizations, that although independent, are connected and interact through this seminal technology form the DLT ecosystem. DLT may be applicable in many ecosystem types. However, little research has been done on how DLT works in the ecosystem types. We acknowledge specific ecosystem characteristics in a DLT network of actors and argue that there are similarities between various ecosystem types. Our study extends DLT and ecosystem literature by answering the question "How do ecosystem types make fit to DLT?". We build upon the software, technological, digital, innovation, product and service ecosystem literature and examine how do they match to DLT ecosystem. We find that these ecosystems can be part or subset of the DLT ecosystem, but it is the business ecosystem type that fits better to DLT ecosystem conceptualization. We further analyse the characteristics, definitions and enablers of business ecosystem and identify the analogies between these two structures. In this way we provide academics and practitioners alike insight into what characteristics shape DLT business ecosystems and what features it adopts from other ecosystem types.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 72, p. 102143-, article id 102143
Keywords [en]
Blockchain, Distributed ledger, Business ecosystem, Digital ecosystem, Blockchain ecosystem
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:kth:diva-322804DOI: 10.1016/j.techsoc.2022.102143ISI: 000890884300006Scopus ID: 2-s2.0-85141776178OAI: oai:DiVA.org:kth-322804DiVA, id: diva2:1725699
Note

QC 20230111

Available from: 2023-01-11 Created: 2023-01-11 Last updated: 2023-01-11Bibliographically approved

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Angelis, Jannis

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CiteExportLink to record
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Citation style
  • apa
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