The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Real time business intelligence in supply chain analytics
Abstract
Purpose: Rapid innovation and globalization have generated tremendous opportunities and choices in the marketplace for firms and customers. Competitive pressures have led to sourcing and manufacturing on a global scale resulting in a significant increase in products. The paper tries to identify the need for real time business intelligence (BI) in supply chain analytics. Design/methodology/approach: The paper provides argument and analysis of the advantages and hurdles in BI. Findings: The paper focuses on the necessity to revisit the traditional BI concept that integrates and consolidates information in an organization in order to support firms that are service oriented and seeking customer loyalty and retention. Enhancing effectiveness and efficiency of supply chain analytics using a BI approach is a critical component in a company's ability to achieve its competitive advantage. Originality/value: This paper furthers understanding of the issues surrounding the use of BI systems in supply chains.
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Cites
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Cited by
Kache, F., & Seuring, S. (2017) · International Journal of Operations & Production Management · doi:10.1108/ijopm-02-2015-0078 · Cited by 938
Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2017.04.001 · Cited by 535
Verma, S., Kawamoto, Y., Fadlullah, Z. M., Nishiyama, H., & Kato, N. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2694469 · Cited by 422
Customer relationship management: digital transformation and sustainable business model innovation
Gil-Gomez, H., Guerola-Navarro, V., Oltra-Badenes, R., & Lozano-Quilis, J. A. (2020) · Economic Research-Ekonomska Istraživanja · doi:10.1080/1331677x.2019.1676283 · Cited by 334
Zhu, S., Song, J., Hazen, B. T., Lee, K., & Cegielski, C. (2018) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-11-2017-0341 · Cited by 294
Metadata
- Authors
- Sahay, B. S., & Ranjan, J.
- Venue
- Information Management & Computer Security
- Publisher
- Emerald
- Published
- 2008-03-21
- Volume
- 16
- Issue
- 1
- Pages
- 28-48
- ISSN
- 0968-5227 (ISSN-L)
- OpenAlex
- W2025947604
- Cited by
- 272
- References
- 29
- FWCI
- 15.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sahay, B. S., & Ranjan, J. (2008). Real time business intelligence in supply chain analytics. Information Management & Computer Security. https://doi.org/10.1108/09685220810862733
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.
