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International Journal of Logistics
Research and Applications
Smart Logistics and Supply Chain Management: Risk, Opportunity and Innovation
Submission Deadline: 31st December 2022

Guest Editors

  • Gengzhong Feng (Lead Guest Editor), Xi’an Jiaotong University, China. Email: gzfeng@mail.xjtu.edu.cn

  • Dennis Z. Yu, Clarkson University, USA

  • Xin Ma, Monash University, Australia

  • Weihua Liu, Tianjin University, China

  • Feng Wu, Xi’an Jiaotong University, China

  • Gang Li, Xi’an Jiaotong University, China


Overview of the special issue

After two years of ongoing pandemic, the social and economic costs of the COVID-19 are substantial and long-lasting and the end of this pandemic is still far in sight. International supply chains (SCs), with a heavy reliance on the most Covid-19 affected countries, have been disrupted at their origin (Guan et al., 2020). In those highly developed western countries (that is, the Europe and the United States), the resulting material shortages and delivery delays propagate downstream the SC, causing a decline in revenue, service level and productivity (Li & Zobel, 2020; Queiroz et al., 2020). The COVID-19 pandemic affects three different aspects of the global supply chain: supply, demand and logistics (Mishra et al., 2021; Singh et al., 2021). It has also caused severe effects on different dimensions of SCs worldwide, including but not limited to finance, lead time, demand changes, and production performance (Farooq et al., 2021). Therefore, the control of the epidemic’s outbreak calls for a prompt response.


Pan et al. (2021) believe that the COVID-19 outbreak, have obviously exposed the vulnerability of the contemporary global SCs. Logistics and supply chain management (LSCM) is facing grand challenge, as it should support operations that must be more efficient, effective, agile, resilient, and sustainable. In the context of the epidemic, understanding and managing supply chain risks to minimize their ripple effects on the economy is a critical functional competency for today’s global enterprises.


As the SC risks are growing, the vulnerability and the chances of supply chain failure also increases (KEK et al., 2022; Scheibe & Blackhurst, 2018). Both the inherent complexity of supply chain networks and the dynamic nature of risk dissemination make supply chain risks difficult to predict and manage (Li & Zobel, 2020). Cheung et al. (2021) review the recent research on cybersecurity in logistics and supply chain and find that research on cybersecurity in logistics and supply chain is in its early stages. Choi (2021) examines risk analysis research in logistics systems with special relevance to COVID-19, such as business risk, risk related to Safety and so on. Furthermore, the major research themes during pandemic are found to be food (Cardoso et al., 2021) and health-related SCs risks (Thompson & Anderson, 2021). For example, some issues are considered including risks in perishable food SCs (Kumar et al., 2021), reverse logistics network management of medical waste (Yu et al., 2020) and so on. However, research on smart supply chain risk management is insufficient, and more research for big data analytics and artificial intelligence application has been done into conceptual modelling rather than real-life applications (Shah et al., 2021).


Research on supply chain innovation in the context of COVID-19 is still in its early stages. Moosavi et al. (2022) conduct analysis to reveal that resilience and sustainability are the primary LSCM topics. The challenges of sustainable development require whole supply chains and networks to drive change and innovation. However, most existing research on sustainable innovations is on a company level. Consequently, there is a need for research and new models that facilitate sustainable supply chain innovations (Nilsson & Göransson, 2021). Sun et al. (2021) explore user-driven supply chain business model innovation and find that user-driven innovation leads to the change of the dynamic capability and supply chain structure and promotes the supply chain business model innovation; dynamic capability, supply chain structure and supply chain business model co-influence each other. This research extends the business model discussion from a company level to the supply chain level and from statistic to dynamic perspective.


Moreover, technology-aided tools are another mainstream research area about LSCM. Some scholars have begun to explore technologies in logistics and supply chain management and study how to use them to improve supply chain performance, such as artificial intelligence (AI) (Boute & Udenio, 2021), internet of things (IoT) (Arias-Aranda et al., 2021), 5G technology (Taboada & Shee, 2020), big data analytics (Maheshwari et al., 2020) augmented reality smart glasses (Rejeb, Keogh, et al., 2021) and blockchains (Rejeb, Rejeb, et al., 2021b). In addition, applying drones or unmanned autonomous vehicles (UAVs) in LSCM have been discussed to help last-mile delivery during a pandemic or post-epidemic era to achieve greater responsiveness and reliability (Rejeb, Rejeb, et al., 2021a). Nevertheless, these tools are in its infancy in the transport and logistics sector and how the supply chain can use technologies for flexibility, rapid response and intelligent decision  remains unclear.

In general, there is a lack of empirically designed and theoretically grounded studies in smart LSCM (SLSCM), especially risk and innovation, and the generalizability of the findings, thus far, is limited (Chowdhury et al., 2021). Therefore, the special issue (SI) calls for topics about SLSCM.


As the pandemic remains uncertain, we have entered a post-epidemic era with frequent outbreaks and regular epidemic prevention. In this context, SLSCM is under unprecedented pressure, and how to respond to logistics and supply chain risks, grasp the opportunities of the new era and provide innovative strategies has become a critical and novel management philosophy. Considering the characteristics of demand uncertainty and frequent sudden risks in the post-epidemic era, intelligence and innovation should be integrated into logistics and supply chain studies. Existing issues of LSCM lack the research on smart risk and innovation management perspective. Compared to traditional SI of logistics and supply chains, this SI concerns the risk, opportunity and innovation in SLSCM. This SI welcomes research employing data analytics, optimization, game theory, multi-criteria decision making, empirical study, and comprehensive study.


Recommended SLSCM topics include, but are not limited to:

  • Closed Loop Supply Chains  (CLSC)

  • Global Supply Chain Management  (GSCM)

  • Inventory Management  (INVM)

  • Purchasing and Supply Management  (PSM)

  • Scheduling and Logistics  (SCHL)

  • Supply Chain Management (SCM)

  • Resilient Supply Chain Framework(RSCF)

  • Green Supply Chain Management(GSCM)

  • Environmental Logistics(EL)

  • Management Strategy of Sustainable Supply Chain(MSSSC)

  • Maritime Supply Chain Management(MSCM)

  • Impacts of COVID-19 on Supply Chains and Logistics

  • Global Cross-Border Logistics(GCBL)

  • Emerging technology application in Supply Chains and Logistics

  • Risk Management of Supply Chain Disruption

  • Management Strategy of Supply Chain Disruption and Recovery

  • Emergency Logistics Management(ELM)

  • Logistics Resilience under Epidemic Situation(LRES)

  • Reverse Logistics Management(RLM)

  • Cybersecurity in Logistics and Supply Chain(CLSC)

  • Smart Logistics and Supply Chain Management(SLSCM)

  • Logistics and Supply Chain Management Innovation(LSCMC)

  • Epidemic-Driven Competition and Cooperation Management of Supply Chain

Publication schedule

  • Full manuscript submission by: 31 Dec 2022

  • Review process will begin once submission has been made

  • Final manuscript decision: No more than 6 months after submission


Submission information

Manuscripts will be subject to a rigorous review process under the supervision of the Guest Editors and Editor-in-Chief, and accepted papers will be published online before print publication. This special issue welcomes conference papers submitted at “2022 POMS International Conference in China” on June 24-27, 2022, Xi’an, China. It is also open to papers in the above listed themes, which are submitted via IJLRA website. Regarding the submission guidelines and other details, authors should refer to the details on the journal website. Please make sure you indicate that your manuscript is for the "Smart Logistics and Supply Chain Management: Risk, Opportunity and Innovation" SI when prompted in the submission portal. 


We, the Guest Editors, will select the best papers through two tracks: An open track on the IJLRA manuscript tracking system, and an invited track of extended papers submitted to 2022 POMS International Conference in China (POMS-China) in Xi'an, China.


  • Arias-Aranda, D., Molina, L. M., & Stantchev, V. (2021). Integration of internet of things and blockchain to increase humanitarian aid supply chains performance. Dyna (Spain), 96(6), 653–658.

  • Boute, R. N., & Udenio, M. (2021). AI in Logistics and Supply Chain Management. Available at SSRN: https://ssrn.com/abstract=3862541

  • Cardoso, B., Cunha, L., Leiras, A., Goncalves, P., Yoshizaki, H., de Brito Junior, I., & Pedroso, F. (2021). Causal Impacts of Epidemics and Pandemics on Food Supply Chains: A Systematic Review. Sustainability, 13(17), 9799.

  • Chen, J., Wang, H., & Zhong, R. Y. (2021). A supply chain disruption recovery strategy considering product change under COVID-19. Journal of Manufacturing Systems, 60, 920–927.

  • Cheung, K. F., Bell, M. G. H., & Bhattacharjya, J. (2021). Cybersecurity in logistics and supply chain management: An overview and future research directions. Transportation Research Part E: Logistics and Transportation Review, 146, 102217.

  • Choi, T. M. (2021). Risk analysis in logistics systems: A research agenda during and after the COVID-19 pandemic. Transportation Research Part E: Logistics and Transportation Review, 145, 102190.

  • Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148, 10227.

  • Farooq, M. U., Hussain, A., Masood, T., & Habib, M. S. (2021). Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19. Sustainability, 13(5), 2504.

  • Guan, D., Wang, D., Hallegatte, S., Davis, S. J., Huo, J., Li, S., Bai, Y., Lei, T., Xue, Q., & Coffman, D. M. (2020). Global supply-chain effects of COVID-19 control measures. Nature human behaviour, 4(6), 577-587.

  • Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research, 58(10), 2904–2915.

  • Kumar, A., Mangla, S. K., Kumar, P., & Song, M. (2021). Mitigate risks in perishable food supply chains: Learning from COVID-19. Technological Forecasting and Social Change, 166, 120643.

  • Li, Y., & Zobel, C. W. (2020). Exploring supply chain network resilience in the presence of the ripple effect. International Journal of Production Economics, 228, 107693.

  • Maheshwari, S., Gautam, P., & Jaggi, C. K. (2020). Role of Big Data Analytics in supply chain management: current trends and future perspectives. International Journal of Production Research, 59(6), 1875–1900.

  • Mishra, R., Singh, R. K., & Subramanian, N. (2021). Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence. The International Journal of Logistics Management. Available at : https://doi.org/10.1108/IJLM-01-2021-0043

  • Moosavi, J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction, 75, 102983.

  • Nilsson, F., & Göransson, M. (2021). Critical factors for the realization of sustainable supply chain innovations - Model development based on a systematic literature review. Journal of Cleaner Production, 296, 126471.

  • Pan, S., Trentesaux, D., McFarlane, D., Montreuil, B., Ballot, E., & Huang, G. Q. (2021). Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet. Computers in Industry, 128, 103435.

  • Paul, S. K., Chowdhury, P., Moktadir, M. A., & Lau, K. H. (2021). Supply chain recovery challenges in the wake of COVID-19 pandemic. Journal of Business Research, 136, 316–329.

  • Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2020). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of operations research, 1-38.

  • Rejeb, A., Keogh, J. G., Leong, G. K., & Treiblmaier, H. (2021). Potentials and challenges of augmented reality smart glasses in logistics and supply chain management: a systematic literature review. International Journal of Production Research, 59(12), 3747–3776.

  • Rejeb, A., Rejeb, K., Simske, S. J., & Treiblmaier, H. (2021a). Drones for supply chain management and logistics: a review and research agenda. International Journal of Logistics Research and Applications, 1–24.

  • Rejeb, A., Rejeb, K., Simske, S., & Treiblmaier, H. (2021b). Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review. Logistics, 5(4), 72.

  • Scheibe, K. P., & Blackhurst, J. (2018). Supply chain disruption propagation: a systemic risk and normal accident theory perspective. International Journal of Production Research, 56(1-2), 43-59.

  • Shah, H. M., Gardas, B. B., Narwane, V. S., & Mehta, H. S. (2021). The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review. Kybernetes. Available at : https://doi.org/10.1108/K-05-2021-0423/FULL/PDF

  • Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021). Impact of COVID-19 on logistics systems and disruptions in food supply chain. International Journal of Production Research, 59(7), 1993-2008.

  • Sun, Y., Gong, Y., Zhang, Y., Jia, F., & Shi, Y. (2021). User-driven supply chain business model innovation: The role of dynamic capabilities. Corporate Social Responsibility and Environmental Management, 28(4), 1157–1170.

  • Taboada, I., & Shee, H. (2020). Understanding 5G technology for future supply chain management. International Journal of Logistics Research and Applications, 24(4), 392–406.

  • Thompson, D. D. P., & Anderson, R. (2021). The COVID-19 response: considerations for future humanitarian supply chain and logistics management research. Journal of Humanitarian Logistics and Supply Chain Management, 11(2), 157–175.

  • Wang, J., Lim, M. K., Wang, C., & Tseng, M. L. (2022). Comprehensive analysis of sustainable logistics and supply chain based on bibliometrics: overview, trends, challenges, and opportunities. International Journal of Logistics Research and Applications, 1–30.

  • Yu, H., Sun, X., Solvang, W. D., & Zhao, X. (2020). Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China). International Journal of Environmental Research and Public Health, 17(5), 1770.

Guest Editor Biographies

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Prof. Gengzhong Feng

Xi’an Jiaotong University

Email: gzfeng@mail.xjtu.edu.cn


Prof. Gengzhong Feng is the dean of the school of management of Xi'an Jiaotong University.He also works in University of Chinese Academy of Sciences and Lanzhou University,China, as a adjunct professor.His research expertise includes Information management and e-commerce,Logistics and supply chain management, Big data and data quality management.He has published more than 150 academic papers, including publications on System Engineering Theory and Practice,Chinese Journal of Management Science,Information Systems Frontiers, Operations Research and Management Science,Decision Support Systems,Journal of Industrial Engineering and Engineering Management,Computers & Industrial Engineering,Journal of the Association for Information Systems.He has presided over many national, provincial and other logistics projects and won more than 10 awards from the government and industry associations.He is an expert member or scholar of many big data, logistics academic institutions and related enterprises.


Prof. Dennis Z. Yu

Clarkson University

Email: dyu@clarkson.edu


Prof.Dennis Z. Yu graduated from Olin Business School of Washington University in St.Louis. He is now an associate professor of Clarkson University and an associate  dean of the school of business department.The main research interests include:Product variety and capacity choices in supply chain management; Pricing and inventory competition with news vendor network models; Operational flexibility and risk management in supply chain management; Consumer choice models and game theoretical analysis in revenue management.His research has been published in manufacturing & service operations management, production and operations management, European Journal of operational research, Omega and other high-level journals. In addition, Dennis Z.Yu is the reviewer of Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, European Journal of Operational Research, Omega, International Journal of Production Research, Decision Sciences Journal and other journals.

Prof. Xin Ma

Monash University

Email: Xin.Ma@monash.edu


Dr Xin Ma is Senior Lecturer of Operations and Supply Chain Management in the Department of Management at Monash University, Australia. Before joining Monash University in July 2018, he was Lecturer of Engineering Management (Education & Research) in College of Engineering, Mathematics and Physical Sciences at University of Exeter, United Kingdom, from Feb. 2017 to Jan. 2018.Dr. Ma received his master’s degree in industrial Logistics Systems and Ph.D. degree in Operations Management from The Hong Kong Polytechnic University in 2013 and 2017, respectively. He awarded an industry-led collaborative research grant, i.e., Cooperative Research Centres Projects (CRC-P) Grant in 2021, received the 2021 Dean's Awards for Excellence in Research by an Early Career Researcher at the Monash Business School, received the 2018 Most Significant Contribution Award from the Decision Sciences Journal.His peer-reviewed work appears in flagship journals such as the Decision Sciences Journal, European Journal of Operational Research, IEEE Transactions on Engineering Management, Transportation Research Part E, and other premier academic journals. He is on the Editorial Review Boards of three major discipline journals, including the Decision Sciences Journal, IEEE Transactions on Engineering Management, Transportation Research Part E. In addition, he serves as the ad hoc reviewer for European Journal of Operational Research, Energy Economics, Omega, etc.His research interests include:Supply Chain Management, Energy and Low-Carbon Management, E-commerce, Channel Strategies, Applied Game Theory and Healthcare Management.



Prof. Weihua Liu

TianJin University

Email: lwhliu@tju.edu.cn


Professor Weihua Liu is currently the head of the Department of Operation and Supply Chain Management, College of Management and Economics, Tianjin University, China. He serves as an outstanding Professor in Tianjin University. His research interests include service supply chain management, sustainable supply chain management, smart logistics and supply chain management. He has published more than 80 SCI/SSCI indexed papers in peer-reviewed journals such as European Journal of Operational Research, International Journal of Operations and Production Management, International Journal of Production Economics, Supply Chain Management: An International Journal, Transportation Research Part E, International Journal of Production Research, Annals of Operations Research, etc. He is the Asia editor of International Journal of Logistics Research and Application, Associate editor of Modern supply chain Research and Application, Associate editor of Frontiers of Engineering Management, Associate editor of Sustainable Futures, editor of International Journal of Business Performance and Supply Chain Modelling, etc. He also serviced as Guest Editors in high level international journals such as Transportation Research Part E, International Journal of Production Economics, Ocean & Coastal Management, etc. He is the vice president of the China Society of Logistics, Chief Expert of Major Program of the National Social Science Foundation of China, Member of the National Technical Committee of Logistics Standardization of China.



Prof. Feng Wu

Xi’an Jiaotong University

Email: fengwu@mail.xjtu.edu.cn


Prof. Feng Wu is currently a Professor and Head of the Department of Industrial Engineering and Operation Management,Xi’an Jiaotong University.He won the prize of the 10th famous  teacher in Colleges and universities of Shaanxi province, and was selected in the new century excellent talent support plan of the Ministry of Education.His research interests include Outsourcing decision and Control,Supply Chain Management and Intelligent Manufacturing.He has published more than 50 papers and 40 conference publications, such as International Journal of Production Research,European Journal of Operational Research,Computers & Industrial Engineering,Enterprise Information Systems,Industrial Engineering and Management,Operations Research and Management Science,Injury Prevention.His research on intelligent manufacturing is supported by the National Science Foundation of China.

Prof. Gang Li

Xi’an Jiaotong University

Email: glee@mail.xjtu.edu.cn


Prof Gang Li  is currently a professor and doctoral supervisor of the school of management,Xi'an Jiaotong University,China. He is Selected into the New Century Excellent Talents Program of the Ministry of Education. Also, he is the international faculty fellow of the Massachusetts Institute of technology and the research fellow of the Hong Kong Polytechnic University.His research interests include Supply Chain Management and E-commerce, Manufacturing and Service Strategy and Operation Management.He has published more than 60 academic papers in international and domestic famous academic journals,such as EJOR,IJPR,IEEE Transactions on Engineering Management, IJPE.Those papers have been cited more than 200 times on the web of science and 320 times on Google Scholar.He presided over 3 national projects from the National Natural Science Foundation and the National Social Science Foundation, more than 10 provincial and ministerial projects and more than 10 enterprise projects.