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Cited by 543

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Overview of business innovations and research opportunities in blockchain and introduction to the special issue

Open access
Zhao, J. Leon, Fan, Shaokun, Yan, Jiaqi·2016·Financial Innovation

Abstract

Blockchain has become a new frontier of venture capitals that has attracted the attention of banks, governments, and other business corporations. The recent blockchain related attempts included legal blockchains by Fadada.com and Microsoft and pork tracking blockchains by Walmart and IBM. Blockchain is poised to become the most exciting invention after the Internet; while the latter connects the world to enable new business models based on online business processes, the former will help resolve the trust issue more efficiently via network computing. In this paper, we give an overview on blockchain research and development as well as introduce the papers in this special issue. We show that while blockchain has enabled Bitcoin, the most successful digital currency, its widespread adoption in finance and other business sectors will lead to many business innovations as well as many research opportunities.

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Metadata

Authors
Zhao, J. L., Fan, S., & Yan, J.
Venue
Financial Innovation
Published
2016-12
Volume
2
Issue
1
ISSN
2199-4730 (ISSN-L)
OpenAlex
W2563930052
Cited by
543
References
4
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Overview of business innovations and research opportunities in blockchain and introduction to the special issue. https://app.cochat.ai/papers/10.1186/s40854-016-0049-2
The paper
Zhao, J. L., Fan, S., & Yan, J. (2016). Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financial Innovation. https://doi.org/10.1186/s40854-016-0049-2

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.