The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Analysis of barriers to implement blockchain in industry and service sectors
Open accessAbstract
Abstract Blockchain technology holds immense potential for industries and services by executing transactions in a verifiable and permanent way. It operates as an open distributed ledger that can record transactions between two parties. However, the adoption and implementation of blockchain technologies in various industries and services is a challenging task. In this study, we develop a framework for investigating barriers to the adoption and successful implementation of blockchains across different industries and services, using DEMATEL technique. We identify these barriers with the help of extant literature and experts’ opinions and further classify them into ten broad categories. Then, we establish the causal relationships among those barriers and rank them based on their degree of prominence and relationships. We find that challenges in scalability and market-based risks are the most influencing barriers. Whereas high sustainability costs and poor economic behavior are the most influenced barriers during successful blockchain adoption. Finally, we perform a series of sensitivity analysis to test the robustness and generalizability of our proposed framework. Findings from our study will be beneficial for managers and help to eliminate the major barriers in the efficient implementation of blockchain technologies in their organizations.
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
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 13,723
Bitcoin: A Peer-to-Peer Electronic Cash System
Squarepants, S. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,148
Blockchains and smart contracts for the internet of things
Christidis, K., & Devetsikiotis, M. (2016) · IEEE Access · doi:10.1109/access.2016.2566339 · Cited by 4,552
(2015) · Cited by 3,471
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
Bitcoin: Economics, Technology, and Governance
Böhme, R., Christin, N., Edelman, B., & Moore, T. (2015) · Journal of Economic Perspectives · doi:10.1257/jep.29.2.213 · Cited by 1,823
A Survey on the Security of Blockchain Systems
Li, X., Jiang, P., Chen, T., Luo, X., & Wen, Q. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2017.08.020 · Cited by 1,772
(2017) · Cited by 1,724
On the Security and Performance of Proof of Work Blockchains
Gervais, A., Karame, G. O., Wüst, K., Glykantzis, V., Ritzdorf, H., & Capkun, S. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978341 · Cited by 1,646
Cited by
Taherdoost, H. (2022) · Computers · doi:10.3390/computers11020024 · Cited by 186
Rana, N. P., Dwivedi, Y. K., & Hughes, D. L. (2022) · Information Technology & People · doi:10.1108/itp-07-2020-0460 · Cited by 122
Metadata
- Authors
- Biswas, B., & Gupta, R.
- Venue
- Computers & Industrial Engineering
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 136
- Pages
- 225-241
- ISSN
- 0360-8352 (ISSN-L)
- OpenAlex
- W2954960413
- Cited by
- 319
- References
- 91
- FWCI
- 37.18
- Type
- journal article
- Language
- en
- Open access
- green
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: Analysis of barriers to implement blockchain in industry and service sectors. https://app.cochat.ai/papers/10.1016/j.cie.2019.07.005
- The paper
- Biswas, B., & Gupta, R. (2019). Analysis of barriers to implement blockchain in industry and service sectors. Computers & Industrial Engineering. https://doi.org/10.1016/j.cie.2019.07.005
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.