Multidisciplinary review of logistics and supply chain research— Application of scientific measurement analysis in related fields

Chung-Lien Pan; JiaLong Li; XiaoLing Huang; XuanFan Guo; LiHong Zhang

doi:10.1051/e3sconf/202123503004

All issues

Volume 235 (2021)

E3S Web Conf., 235 (2021) 03004

References

Open Access

Issue		E3S Web Conf. Volume 235, 2021 2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)


Article Number		03004
Number of page(s)		4
Section		Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization
DOI		https://doi.org/10.1051/e3sconf/202123503004
Published online		03 February 2021

Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business logistics, 22(2), 1-25. [Google Scholar]
Craighead, C. W., Hult, G. T. M., & Ketchen, D. J. (2009). The effects of innovation–cost strategy, knowledge, and action in the supply chain on firm performance. Journal of Operations Management, 27(5), 405–421. doi: 10.1016/j.jom.2009.01.002 [Google Scholar]
Chae, B. (Kevin). (2015). Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247–259. doi: 10.1016/j.ijpe.2014.12.037 [Google Scholar]
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. doi: 10.1016/j.jbusres.2016.08.004 [Google Scholar]
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. doi: 10.1016/j.bushor.2015.03.008 [Google Scholar]
Ellis, D. I., Muhamadali, H., Haughey, S. A., Elliott, C. T., & Goodacre, R. (2015). Point-and-shoot: rapid quantitative detection methods for on-site food fraud analysis – moving out of the laboratory and into the food supply chain. Analytical Methods, 7(22), 9401–9414. doi: 10.1039/c5ay02048d [Google Scholar]
Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80–89. doi: 10.1016/j.ijinfomgt.2017.12.005 [Google Scholar]
AiHu Wang. (2009). review of the development of logistics and supply chain management home and abroad. Journal of South China University of Technology(Social Science Edition), 011(002), 36-42. [Google Scholar]
Bozeman, B. and Corley, E. (2004) ‘Scientists’ Collaboration Strategies: Implications for Scientific and Technical Human Capital’, Research Policy, 33: 599–616. [Google Scholar]
Zhen Jin. (2000). Integration of logistics and supply chain management. Logistics Technology, 000(003), 33. [Google Scholar]
Feng Tian. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. 2016 13th International Conference on Service Systems and Service Management (ICSSSM). doi: 10.1109/icsssm.2016.7538424 [Google Scholar]

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[1] Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business logistics, 22(2), 1-25. [Google Scholar]

[2] Craighead, C. W., Hult, G. T. M., & Ketchen, D. J. (2009). The effects of innovation–cost strategy, knowledge, and action in the supply chain on firm performance. Journal of Operations Management, 27(5), 405–421. doi: 10.1016/j.jom.2009.01.002 [Google Scholar]

[3] Chae, B. (Kevin). (2015). Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research. International Journal of Production Economics, 165, 247–259. doi: 10.1016/j.ijpe.2014.12.037 [Google Scholar]

[4] Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. doi: 10.1016/j.jbusres.2016.08.004 [Google Scholar]

[5] Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. doi: 10.1016/j.bushor.2015.03.008 [Google Scholar]

[6] Ellis, D. I., Muhamadali, H., Haughey, S. A., Elliott, C. T., & Goodacre, R. (2015). Point-and-shoot: rapid quantitative detection methods for on-site food fraud analysis – moving out of the laboratory and into the food supply chain. Analytical Methods, 7(22), 9401–9414. doi: 10.1039/c5ay02048d [Google Scholar]

[7] Kshetri, N. (2018). Blockchain’s roles in meeting key supply chain management objectives. International Journal of Information Management, 39, 80–89. doi: 10.1016/j.ijinfomgt.2017.12.005 [Google Scholar]

[8] AiHu Wang. (2009). review of the development of logistics and supply chain management home and abroad. Journal of South China University of Technology(Social Science Edition), 011(002), 36-42. [Google Scholar]

[9] Bozeman, B. and Corley, E. (2004) ‘Scientists’ Collaboration Strategies: Implications for Scientific and Technical Human Capital’, Research Policy, 33: 599–616. [Google Scholar]

[10] Zhen Jin. (2000). Integration of logistics and supply chain management. Logistics Technology, 000(003), 33. [Google Scholar]

[11] Feng Tian. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. 2016 13th International Conference on Service Systems and Service Management (ICSSSM). doi: 10.1109/icsssm.2016.7538424 [Google Scholar]