The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Value of Information Sharing in a Two-Level Supply Chain
Abstract
Many companies have embarked on initiatives that enable more demand information sharing between retailers and their upstream suppliers. While the literature on such initiatives in the business press is proliferating, it is not clear how one can quantify the benefits of these initiatives and how one can identify the drivers of the magnitudes of these benefits. Using analytical models, this paper aims at addressing these questions for a simple two-level supply chain with nonstationary end demands. Our analysis suggests that the value of demand information sharing can be quite high, especially when demands are significantly correlated over time.
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
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
Self-citationFoundations of Inventory Management
Zipkin, P. H. (2000) · Medical Entomology and Zoology · Cited by 1,854
Supply Chain Inventory Management and the Value of Shared Information
Cachon, G. P., & Fisher, M. (2000) · Management Science · doi:10.1287/mnsc.46.8.1032.12029 · Cited by 1,839
A Logit Model of Brand Choice Calibrated on Scanner Data
Guadagni, P. M., & Little, J. D. C. (1983) · Marketing Science · doi:10.1287/mksc.2.3.203 · Cited by 1,805
Stochastic models in operations research
Heyman, D. P., & Sobel, M. J. (1982) · Medical Entomology and Zoology · Cited by 1,041
Value of Information in Capacitated Supply Chains
Gavirneni, S., Kapuscinski, R., & Tayur, S. (1999) · Management Science · doi:10.1287/mnsc.45.1.16 · Cited by 888
Decision systems for inventory management and production planning
Valqui Vidal, R. (1986) · European Journal of Operational Research · doi:10.1016/0377-2217(86)90310-3 · Cited by 700
Guadagni, P. M. (1983) · Marketing Science · Cited by 549
Inventories and the volatility of production
Kahn, J. R. (1986) · RePEc: Research Papers in Economics · Cited by 495
Impact of Electronic Data Interchange Technology on JIT Shipments
Srinivasan, K., Kekre, S., & Mukhopadhyay, T. (1994) · Management Science · doi:10.1287/mnsc.40.10.1291 · Cited by 358
Cited by
An analysis of the drivers affecting the implementation of green supply chain management
Diabat, A., & Govindan, K. (2011) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2010.12.002 · Cited by 938
Antecedents of supply chain visibility in retail supply chains: A resource‐based theory perspective
Barratt, M., & Oke, A. (2007) · Journal of Operations Management · doi:10.1016/j.jom.2007.01.003 · Cited by 702
Information sharing and supply chain performance: the role of connectivity and willingness
Fawcett, S. E., Osterhaus, P., Magnan, G. M., Brau, J. C., & McCarter, M. W. (2007) · Supply Chain Management: An International Journal · doi:10.1108/13598540710776935 · Cited by 561
Supply chain collaboration: Impact of success in long-term partnerships
Ramanathan, U., & Gunasekaran, A. (2014) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.06.002 · Cited by 384
Supply chain forecasting: Theory, practice, their gap and the future
Syntetos, A. A., Babai, Z., Boylan, J. E., Kolassa, S., & Nikolopoulos, K. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.11.010 · Cited by 328
Metadata
- Authors
- Lee, H. L., So, K. C., & Tang, C. S.
- Venue
- Management Science
- Published
- 2000-05
- Volume
- 46
- Issue
- 5
- Pages
- 626-643
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W1963833123
- Cited by
- 2,114
- References
- 12
- FWCI
- 68.30
- 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: The Value of Information Sharing in a Two-Level Supply Chain. https://app.cochat.ai/papers/10.1287/mnsc.46.5.626.12047
- The paper
- Lee, H. L., So, K. C., & Tang, C. S. (2000). The Value of Information Sharing in a Two-Level Supply Chain. Management Science. https://doi.org/10.1287/mnsc.46.5.626.12047
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.