List of relevant special issues and sections, and relevant literature reviews
| Journal | Year | Issue – Volume | Topic |
|---|---|---|---|
| Special issues and sections | |||
| International Journal of Production Economics | 2015 | vol. 165 | Big data for Service and Manufacturing Supply Chain Management |
| Computers and Industrial Engineering | 2016 | vol. 101 | Big data and Predictive Analytics Application in Supply Chain Management |
| Production Planning and Control | 2017 | vol. 28, issue 11–12 | Big data and analytics in operations and supply chain management: managerial aspects and practical challenges |
| International Journal of Logistics Management | 2018 | vol. 29, issue 2 | Big data analytics in logistics and supply chain management |
| Production and Operations Management | 2018 | vol. 27, issue 10 | Big data in supply chain management |
| Annals of Operations Research | 2018 | vol. 270, issue 1–2 | Big data analytics in operations and supply chain management |
| Transportation Research Part E: Logistics and Transportation Review | 2018 | vol. 114 | (special section) Big data analytics and application for logistics and supply chain management |
| Journal | Year | Issue – Volume | Topic |
|---|---|---|---|
| International Journal of Production Economics | 2015 | Big data for Service and Manufacturing Supply Chain Management | |
| Computers and Industrial Engineering | 2016 | Big data and Predictive Analytics Application in Supply Chain Management | |
| Production Planning and Control | Big data and analytics in operations and supply chain management: managerial aspects and practical challenges | ||
| International Journal of Logistics Management | 2018 | Big data analytics in logistics and supply chain management | |
| Production and Operations Management | 2018 | Big data in supply chain management | |
| Annals of Operations Research | 2018 | Big data analytics in operations and supply chain management | |
| Transportation Research Part E: Logistics and Transportation Review | 2018 | ||
| Reference | Summary and main focus |
|---|---|
| Literature reviews of BDA in supply chain management domain | |
| Wang et al. (2016) | Review of supply chain analytics (SCA, defined as application of BDBA on logistics and supply chain management) applications on the nature of analytics and focus of SCA. A maturity framework of SCA is proposed |
| Addo-Tenkorang and Helo (2016) | Review of big data and its application in operations and supply chain management, shedding lights on the trends and perspectives in the research area |
| Lamba and Singh (2017) | Review of big data integration in operations and supply chain management focusing on the key areas of application . Managerial implications and challenges are revealed |
| Nguyen et al. (2018) | Review of BDA application in supply chain management focusing on the application field (area of supply chain management) and technical perspective (i.e. level of analytics, types of BDA models and BDA techniques applied) |
| Tiwari et al. (2018) | Review of extant supply chain analytics (SCA, defined as big data analytics in supply chain management) applications according to the supply chain management areas, as well as the application of BDA in different types of supply chains |
| Arunachalam et al. (2018) | Review of BDA capability in the supply chain management domain, highlighting the dimensions of BDA capabilities maturity and the key elements |
| Brinch (2018) | Review of the value of big data in supply chain management from business process perspective. The author developed a big data SCM framework concerning the value dimensions on value discovery, value creation and value capture |
| Chehbi-Gamoura et al. (2019) | Review of the application of BDA in supply chain management focusing on the BDA method and BDA techniques |
| Reference | Summary and main focus |
|---|---|
| Review of supply chain analytics (SCA, defined as application of BDBA on logistics and supply chain management) applications on the nature of analytics and focus of SCA. A maturity framework of SCA is proposed | |
| Review of big data and its application in operations and supply chain management, shedding lights on the trends and perspectives in the research area | |
| Review of big data integration in operations and supply chain management focusing on the key areas of application . Managerial implications and challenges are revealed | |
| Review of BDA application in supply chain management focusing on the application field (area of supply chain management) and technical perspective (i.e. level of analytics, types of BDA models and BDA techniques applied) | |
| Review of extant supply chain analytics (SCA, defined as big data analytics in supply chain management) applications according to the supply chain management areas, as well as the application of BDA in different types of supply chains | |
| Review of BDA capability in the supply chain management domain, highlighting the dimensions of BDA capabilities maturity and the key elements | |
| Review of the value of big data in supply chain management from business process perspective. The author developed a big data SCM framework concerning the value dimensions on value discovery, value creation and value capture | |
| Review of the application of BDA in supply chain management focusing on the BDA method and BDA techniques | |
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