The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Blockchain technology and enterprise operational capabilities: An empirical test
Abstract
Abstract As a new type of disruptive internet technology, blockchain technology is widely used as a technical support for enterprises to improve production processes and reduce costs. This paper reveals that existing research has only focused on the business process modelling and technology design process of a blockchain-based solution and has neglected analysis of the relationship between blockchain technology and enterprise operational capabilities based on actual data. Hence, this paper collects 50 listed blockchain technology enterprises in China and quantitatively analyses them. The results show that the expansion of the enterprise asset scale is a significant driving factor for implementing blockchain technology. In addition, this paper proves that implementation of blockchain technology has a positive impact on improving asset turnover rate and reducing sales expense rate. Based on the results of theoretical and empirical analysis, this paper provides some constructive suggestions for constructing blockchain projects in the future.
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
Theory of the firm: Managerial behavior, agency costs and ownership structure
Jensen, M. C., & Meckling, W. H. (1976) · Journal of Financial Economics · doi:10.1016/0304-405x(76)90026-x · Cited by 71,491
Toward a Stewardship Theory of Management
Davis, J. H., Schoorman, F. D., & Donaldson, L. (1997) · The Academy of Management Review · doi:10.2307/259223 · Cited by 5,316
Understanding dynamic capabilities
Winter, S. G. (2003) · Strategic Management Journal · doi:10.1002/smj.318 · Cited by 5,315
TRUST: THE CONNECTING LINK BETWEEN ORGANIZATIONAL THEORY AND PHILOSOPHICAL ETHICS
Hosmer, L. T. (1995) · The Academy of Management Review · doi:10.5465/amr.1995.9507312923 · Cited by 2,323
1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149
Multiple Institutional Logics in Organizations: Explaining Their Varied Nature and Implications
Besharov, M. L., & Smith, W. K. (2014) · Academy of Management Review · doi:10.5465/amr.2011.0431 · Cited by 1,571
Dyer, J. H., & Chu, W. (2003) · Organization Science · doi:10.1287/orsc.14.1.57.12806 · Cited by 1,542
Aitzhan, N. Z., & Svetinovic, D. (2018) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2616861 · Cited by 1,297
Wang, Y., Han, J. H., & Beynon-Davies, P. (2019) · Supply Chain Management: An International Journal · doi:10.1108/scm-03-2018-0148 · Cited by 1,210
Untangling Blockchain: A Data Processing View of Blockchain Systems
Dinh, T. T. A., Liu, R., Zhang, M., Chen, G., Ooi, B. C., & Wang, J. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2017.2781227 · Cited by 1,186
Cited by
Wamba, S. F., & Queiroz, M. M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102064 · Cited by 470
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
RetractedAn intelligent blockchain-based system for safe vaccine supply and supervision
Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.10.009 · Cited by 258
de Villiers, C., Kuruppu, S., & Dissanayake, D. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.066 · Cited by 253
Security Aspects of Blockchain Technology Intended for Industrial Applications
Idrees, S. M., Nowostawski, M., Jameel, R., & Mourya, A. K. (2021) · Electronics · doi:10.3390/electronics10080951 · Cited by 127
Metadata
- Authors
- Pan, X., Pan, X., Song, M., Ai, B., & Ming, Y.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 52
- Pages
- 101946
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2944910044
- Cited by
- 267
- References
- 67
- FWCI
- 44.67
- 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 and enterprise operational capabilities: An empirical test. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2019.05.002
- The paper
- Pan, X., Pan, X., Song, M., Ai, B., & Ming, Y. (2020). Blockchain technology and enterprise operational capabilities: An empirical test. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.05.002
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.
