The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Organizational adoption of supply chain management system: A multi-theoretic investigation
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“They argue that a technology will be used if it supports the needs of the task.”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Cao et al. (2013)
In the citing paper
“Cao et al. (2013) highlight data quality as an important organisational level antecedent of SCM systems' adoption, and we argue it is also likely to impact individual level acceptance of technology.”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Cao et al. (2013)
In the citing paper
“Cao et al. (2013) highlight data quality as an important organisational level antecedent of SCM systems' adoption, and we argue it is also likely to impact individual level acceptance of technology.”
From Examining the antecedents of the technology acceptance model within e-procurement (2018) · cites this paper as Cao et al. (2013)
Citations
Cites
(1998) · Cited by 36,049
Network Externalities, Competition, and Compatibility
Katz, M. L. (1985) · American Economic Review · Cited by 6,052
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006
Information Distortion in a Supply Chain: The Bullwhip Effect
Lee, H. L., Padmanabhan, V., & Whang, S. (1997) · Management Science · doi:10.1287/mnsc.43.4.546 · Cited by 4,698
Process innovation: reengineering work through information technology
(1993) · Choice Reviews Online · doi:10.5860/choice.30-4486 · Cited by 4,378
Cooper, D. R., & Schindler, P. S. (1976) · Cited by 4,264
Technology Adoption in the Presence of Network Externalities
Katz, M. L., & Shapiro, C. (1986) · Journal of Political Economy · doi:10.1086/261409 · Cited by 2,622
Validating Instruments in MIS Research1
Straub, D. W. (1989) · MIS Quarterly · doi:10.2307/248922 · Cited by 2,621
Supply Chain Management: Implementation Issues and Research Opportunities
Lambert, D. M., Cooper, M. C., & Pagh, J. D. (1998) · The International Journal of Logistics Management · doi:10.1108/09574099810805807 · Cited by 2,437
A framework for quality management research and an associated measurement instrument
Flynn, B. B., Schroeder, R. G., & Sakakibara, S. (1994) · Journal of Operations Management · doi:10.1016/s0272-6963(97)90004-8 · Cited by 1,981
Research works printed but not linked: 2
- Levary, 2000, Better supply chains through information technology, Industrial Management, 42, 24
- Pedro, 2011, Information technology and E-business for supply chain management, Advances in Management, 4, 5-5
Cited by
Examining the antecedents of the technology acceptance model within e-procurement
Brandon-Jones, A., & Kauppi, K. (2018) · International Journal of Operations & Production Management · doi:10.1108/ijopm-06-2015-0346 · Cited by 181
Information technology adoption: a review of the literature and classification
Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. (2018) · Universal Access in the Information Society · doi:10.1007/s10209-017-0534-z · Cited by 181
Metadata
- Authors
- Cao, Q., Gan, Q., & Thompson, M. A.
- Affiliations
- Texas Tech University (US)
- Corresponding author
- Cao, Qing
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2013-06
- Volume
- 55
- Issue
- 3
- Pages
- 720-727
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2079382061
- Cited by
- 39
- References
- 68
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 5 · 2020: 2 · 2019: 1 · 2018: 4 · 2017: 5 · 2016: 5 · 2015: 4 · 2014: 4 · 2013: 1
- FWCI
- 9.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Decision Support Systems (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Business, Management and Accounting › Management Information Systems › Quality and Supply Management
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- supply chain management systems, organizational adoption, network effects, information sharing, supply chain networks, bullwhip effect, inventory reduction, technology adoption
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: Organizational adoption of supply chain management system: A multi-theoretic investigation. https://app.cochat.ai/papers/10.1016/j.dss.2013.02.003
- The paper
- Cao, Q., Gan, Q., & Thompson, M. A. (2013). Organizational adoption of supply chain management system: A multi-theoretic investigation. Decision Support Systems. https://doi.org/10.1016/j.dss.2013.02.003
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.