The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Blockchain technology for enhancing supply chain resilience
Abstract
With the soaring value of bitcoin and frenzy over cryptocurrency, the blockchain technology that sparked the bitcoin revolution has received heightened attention from both practitioners and academics. Blockchain technology often causes controversies surrounding its application potential and business ramifications. The blockchain is a peer-to-peer network of information technology that keeps records of digital asset transactions using distributed ledgers that are free from control by intermediaries such as banks and governments. Thus, it can mitigate risks associated with intermediaries’ interventions, including hacking, compromised privacy, vulnerability to political turmoil, costly compliance with government rules and regulation, instability of financial institutions, and contractual disputes. This article unlocks the mystique of blockchain technology and discusses ways to leverage blockchain technology to enhance supply chain resilience in times of increased risks and uncertainty.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Information Technology Implementation Research: A Technological Diffusion Approach
Cooper, R. B., & Zmud, R. W. (1990) · Management Science · doi:10.1287/mnsc.36.2.123 · Cited by 2,765
Where Is Current Research on Blockchain Technology?—A Systematic Review
Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163477 · Cited by 2,317
Formalizing and Securing Relationships on Public Networks
Szabo, N. (1997) · First Monday · doi:10.5210/fm.v2i9.548 · Cited by 2,102
Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World
Tapscott, D., & Tapscott, A. (2016) · Cited by 1,658
Literature Review of Information Technology Adoption Models at Firm Level
(2011) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · Cited by 1,341
Underwood, S. (2016) · Communications of the ACM · doi:10.1145/2994581 · Cited by 1,181
Trusting records: is Blockchain technology the answer?
Lemieux, V. L. (2016) · Records Management Journal · doi:10.1108/rmj-12-2015-0042 · Cited by 497
Ashraf, A. R., Thongpapanl, N. (., & Auh, S. (2014) · Journal of International Marketing · doi:10.1509/jim.14.0065 · Cited by 318 · cited 1×
“…and organizational readiness on the decision to adopt BT. Similar to the studies of the technology adoption model (TAM) in the IT literature (e.g., Ashraf, Thongpapanl, & Auh, 2014; Cooper & Zmud, 1990; Davis, 1989; Maruping, Bala, Venkatesh, & Brown, 2017; Mathieson, 1991; Oliveira & Martins,…”
Result
Cited by
Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.102067 · Cited by 1,545
Modeling the blockchain enabled traceability in agriculture supply chain
Kamble, S. S., Gunasekaran, A., & Sharma, R. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.023 · Cited by 957
Feng, H., Wang, X., Duan, Y., Zhang, J., & Zhang, X. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2020.121031 · Cited by 788
Blockchain for industry 4.0: a comprehensive review
Bodkhe, U., Tanwar, S., Parekh, K., Khanpara, P., Tyagi, S., Kumar, N., & Alazab, M. (2020) · IEEE Access · doi:10.1109/access.2020.2988579 · Cited by 766
A supply chain transparency and sustainability technology appraisal model for blockchain technology
Bai, C., & Sarkis, J. (2020) · International Journal of Production Research · doi:10.1080/00207543.2019.1708989 · Cited by 648
Metadata
- Authors
- Min, H.
- Venue
- Business Horizons
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 62
- Issue
- 1
- Pages
- 35-45
- ISSN
- 0007-6813 (ISSN-L)
- OpenAlex
- W2898238616
- Cited by
- 887
- References
- 14
- FWCI
- 103.65
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Blockchain technology for enhancing supply chain resilience. https://app.cochat.ai/papers/10.1016/j.bushor.2018.08.012
- The paper
- Min, H. (2019). Blockchain technology for enhancing supply chain resilience. Business Horizons. https://doi.org/10.1016/j.bushor.2018.08.012
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.