The DOI matches its Crossref record.
Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research
Abstract
Advances in information technology, particularly in the e‐business arena, are enabling firms to rethink their supply chain strategies and explore new avenues for inter‐organizational cooperation. However, an incomplete understanding of the value of information sharing and physical flow coordination hinder these efforts. This research attempts to help fill these gaps by surveying prior research in the area, categorized in terms of information sharing and flow coordination. We conclude by highlighting gaps in the current body of knowledge and identifying promising areas for future research.
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
Cited by
Diamantopoulos, A., & Siguaw, J. A. (2006) · British Journal of Management · doi:10.1111/j.1467-8551.2006.00500.x · Cited by 3,410
Digital Supply Chain: Literature review and a proposed framework for future research
Büyüközkan, G., & Göçer, F. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.02.010 · Cited by 1,205
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 for Supply Chain Management Based on Block Chain Technology
Nakasumi, M. (2017) · 2017 IEEE 19th Conference on Business Informatics (CBI) · doi:10.1109/cbi.2017.56 · Cited by 251
Kembro, J., Selviaridis, K., & Näslund, D. (2014) · Supply Chain Management An International Journal · doi:10.1108/scm-12-2013-0460 · Cited by 168
Supply Chain Coordination under Uncertainty
(2011) · doi:10.1007/978-3-642-19257-9 · Cited by 95
The Impact of Big Data Analytics on Company Performance in Supply Chain Management
Oncioiu, I., Bunget, O. C., Türkeș, M. C., Căpușneanu, S., Topor, D. I., Tamaș, A. S., Rakoș, I.-S., & Hint, M. Ș. (2019) · Sustainability · doi:10.3390/su11184864 · Cited by 92
Organizational adoption of supply chain management system: A multi-theoretic investigation
Cao, Q., Gan, Q., & Thompson, M. A. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.02.003 · Cited by 39
Metadata
- Authors
- Sahin, F., & Robinson, E. P.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2002-09
- Volume
- 33
- Issue
- 4
- Pages
- 505-536
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2115233037
- Cited by
- 731
- References
- 0
- FWCI
- 23.95
- 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
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.