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Smart supply chain management: a review and implications for future research

Lifang Wu (Williams College of Business, Xavier University, Cincinnati, Ohio, USA)
Xiaohang Yue (Sheldon B Lubar School of Business, University of Wisconsin–Milwaukee, Milwaukee , Wisconsin, USA)
Alan Jin (Department of Management, Williams College of Business, Xavier University, Cincinnati, Ohio, USA)
David C. Yen (SUNY College at Oneonta, Oneonta, New York, USA)

The International Journal of Logistics Management

ISSN: 0957-4093

Article publication date: 8 August 2016




As traditional supply chains are increasingly becoming intelligent with more objects embedded with sensors and better communication, intelligent decision making and automation capabilities, the new smart supply chain presents unprecedented opportunities for achieving cost reduction and enhancing efficiency improvement. The purpose of this paper is to study and explore the currents status and remaining issues of smart supply chain management.


A literature review is conducted to synthesize the earlier work in this area, and to conceptualize and discuss the smart supply chain characteristics. Further, the authors formulate and investigate five key research topics including information management, IT infrastructure, process automation, advanced analytics, and supply chain integration.


Studies in those aforementioned subject fields are reviewed, categorized, and analyzed based on the review questions defined in the study. It is notable that while the topics of converging atoms with digits are increasingly attracting attention from researchers and practitioners alike, there are many more interesting research questions needing to be addressed.


The paper provides original and relevant guidance for supply chain management researchers and practitioners on developing smart supply chains.



Wu, L., Yue, X., Jin, A. and Yen, D.C. (2016), "Smart supply chain management: a review and implications for future research", The International Journal of Logistics Management, Vol. 27 No. 2, pp. 395-417.



Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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