Big data analytics in supply chain management: A state-of-the-art literature review
- Submitting institution
-
Brunel University London
- Unit of assessment
- 17 - Business and Management Studies
- Output identifier
- 117-202947-7001945
- Type
- D - Journal article
- DOI
-
10.1016/j.cor.2017.07.004
- Title of journal
- Computers & Operations Research
- Article number
- -
- First page
- 254
- Volume
- 98
- Issue
- -
- ISSN
- 0305-0548
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2017
- URL
-
https://bura.brunel.ac.uk/handle/2438/17829
- Supplementary information
-
https://ars.els-cdn.com/content/image/1-s2.0-S0305054817301685-mmc1.docx
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
4 - Operations & Information Systems Management (OISM)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
