The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review
Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …
because they have the potential to considerably improve firms' performance. With the value …
Digital transformation in the resource and energy sectors: A systematic review
The forces of digital transformation have delivered significant benefits like sustainable
development and economic growth in a range of early adopter industries such as retail and …
development and economic growth in a range of early adopter industries such as retail and …
Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains
The effect of big data on the lean, agile, resilient, and green (LARG) supply chain has not
been explored much in the literature. This study investigates the role of 'Big Data …
been explored much in the literature. This study investigates the role of 'Big Data …
Big Data in operations and supply chain management: a systematic literature review and future research agenda
In the era of digitalisation, the role of Big Data is proliferating, receiving considerable
attention in all sectors and domains. The domain of operations and supply chain …
attention in all sectors and domains. The domain of operations and supply chain …
The impact of supply chain complexities on supply chain resilience: The mediating effect of big data analytics
Supply chains (SC) are increasingly complex and if the resulting complexity is not managed
effectively, it could lead to adverse consequences for the firm. The effect big data analytics …
effectively, it could lead to adverse consequences for the firm. The effect big data analytics …
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
The advanced technologies emerging in Industry 4.0 are forcing companies in different
industries to review their business models and become more compatible with advanced …
industries to review their business models and become more compatible with advanced …
Hybrid meta-heuristic algorithms for a supply chain network considering different carbon emission regulations using big data characteristics
Big data (BD) approach has significantly impacted on the development and expansion of
supply chain network management and design. The available problems in the supply chain …
supply chain network management and design. The available problems in the supply chain …
A systematic literature review with bibliometric analysis of big data analytics adoption from period 2014 to 2018
Z Inamdar, R Raut, VS Narwane, B Gardas… - Journal of Enterprise …, 2021 - emerald.com
Purpose The volume of data being generated by various sectors in recent years has
increased exponentially. Consequently, professionals struggle to process essential data in …
increased exponentially. Consequently, professionals struggle to process essential data in …
Managing food security using blockchain-enabled traceability system
Purpose Food insecurity is a major concern for developing economies. Operational
inadequacies get introduced with unorganized interactions among stakeholders in the food …
inadequacies get introduced with unorganized interactions among stakeholders in the food …
Decision analysis of warehouse productivity performance indicators to enhance logistics operational efficiency
NSF Abdul Rahman, NH Karim… - International Journal of …, 2023 - emerald.com
Purpose The warehouse industry is one of the backbones in the logistics operation which
involves several activities ie storage, receiving, picking and shipping of goods/cargoes. This …
involves several activities ie storage, receiving, picking and shipping of goods/cargoes. This …