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Cited by 1,138

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Big data and predictive analytics for supply chain and organizational performance

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Gunasekaran, Angappa, Papadopoulos, Thanos, Dubey, Rameshwar, Wamba, Samuel Fosso, Childe, Stephen J., Hazen, Benjamin, Akter, Shahriar·2017·Journal of Business Research
DOI 10.1016/j.jbusres.2016.08.004
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Metadata

Authors
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2017-01
Volume
70
Pages
308-317
ISSN
0148-2963 (ISSN-L)
DOI
10.1016/j.jbusres.2016.08.004
OpenAlex
W2508563792
Cited by
1,138
References
27
FWCI
115.79
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Big data and predictive analytics for supply chain and organizational performance. https://app.cochat.ai/papers/10.1016/j.jbusres.2016.08.004
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Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2016.08.004

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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.