Skip to main content

Research Repository

Advanced Search

Outputs (2)

Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique (2017)
Journal Article
Mishra, N., Singh, A., Rana, N. P., & Dwivedi, Y. K. (2017). Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique. Production planning & control, 28(11-12), 945-963. https://doi.org/10.1080/09537287.2017.1336789

The food retailers have to make their supply chains more customer driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s op... Read More about Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique.

Social media data analytics to improve supply chain management in food industries (2017)
Journal Article
Singh, A., Shukla, N., & Mishra, N. (2018). Social media data analytics to improve supply chain management in food industries. Transportation Research Part E: Logistics and Transportation Review, 114, 398-415. https://doi.org/10.1016/j.tre.2017.05.008

This paper proposes a big-data analytics-based approach that considers social media (Twitter) data for the identification of supply chain management issues in food industries. In particular, the proposed approach includes text analysis using a suppor... Read More about Social media data analytics to improve supply chain management in food industries.