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Blockchain-based applications for enhancing cybersecurity in manufacturing and building supply chain resilience

Blockchain-based applications for enhancing cybersecurity in manufacturing and building supply chain resilience

Journal
Impact Score 4.62

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Special Issue Information

Submission Deadline: 31-03-2022
Journal Impact Score: 4.62
Journal Name: Computers and Industrial Engineering
Publisher: Computers and Industrial Engineering

Special Issue Call for Papers


Computers & Industrial Engineering



Blockchain-based applications for enhancing cybersecurity in manufacturing and building supply chain resilience



The ongoing Coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, has created significant challenges for global supply chains and revived the discussion about supply chain resilience (SCRes) (Hoek, 2020; Belhadi et al., 2020; Giahi et al., 2020; Kaur et al., 2020; Govindan et al., 2020). Thus, during the pandemic's first wave, many manufacturers and retailers suffered significant damage, and some had to close their businesses. This is in addition to the distributive impact of cyber-attacks, which has increased significantly during the pandemic (Carrapico & Farrand, 2020). Several researchers and practitioners have been calling for an enhanced supply chain management capable of dealing with the severe disruptions caused by the raging pandemic and resulting cyber-attacks (Hakak et al. 2020; Buil-Gil et al., 2020). Thus, to address this critical situation, researchers are increasingly focusing on SCRes in manufacturing by leveraging emerging technologies (Belhadi et al., 2019). Indeed, to cope with production and distribution delays caused by disruptions in the supply chain for labor and materials alongside cyber-attacks, many researchers and organizations have exploited new digital technologies such as Blockchain Technology (BT), machine learning, cyber-physical systems, and smart and connected products to build resilience SCRes (Belhadi et al., 2019; Kamble et al., 2020; Ramezankhani et al., 2018; Govindan, 2021).



On the other hand, due to the complex, multifaceted and multidimensional concept of resilience, we still lack a unified and integrated theory on SCRes (Kamalahmadi et al., 2016; Wong et al., 2020). Furthermore, the SCRes strategy application can only be effectively implemented by the organizations if they have an environment that promotes transparency and fault tolerance (Levalle et al., 2015). Thus, BT can be suitable to foster SCRes as it promotes transparency, guard against embezzlement risks, and expands productivity and efficiency (Sunny et al., 2020). Specifically, BT has excellent potential to radically change our socio-economical systems by guaranteeing secure transactions between untrusted entities, reducing their cost, and simplifying many processes (Bürer et al., 2019). However, research on the BT in the Information Systems discipline for supply chain resilience is still sparse. Furthermore, few studies have addressed the technical applications and management decisions in adopting this technology for resilience and tackling different current and emerging issues. Besides, BT can pose several implementation challenges such as a lack of organizational readiness or technical expertise/ infrastructure, issues with scalability, and limited financial resources for BT investment (Lohmer et al., 2020).



This Special Issue (SI) aims to foster investigations in blockchain innovations and provide an opportunity to achieve supply chain resilience based on the use of novel technological, organizational, and societal settings involving BT. Thus, this SI will assist both manufacturing and service supply-chain practitioners in building smart SCRes strategies by addressing short and long-term risk mitigation response strategies based on BT. This SI aims to establish substantial threat mitigation frameworks and incident response mechanisms based on BT that practitioners can deploy to improve SCRes from a security perspective. This SI welcomes contributions that draw upon the stock of knowledge within the information systems, cybersecurity, operation management, and supply chain disciplines, incorporating management-oriented approaches into the BT research.



Topics of interest include, but are not limited to:




The adopted methodologies should be underpinned by theoretical constructs used to study supply chain management, supply chain resilience, blockchain technologies, smart application, cybersecurity, etc. Review papers are also welcome.



Submission Guidelines:



Manuscripts should be submitted through the publisher's online system, Elsevier Editorial System (EES) at http://ees.elsevier.com/caie/. Please follow the instructions described in the "Guide for Authors" given on the main page of the EES website. Please make sure you select "Special Issue" as Article Type and "Blockchain_Manufacturing" as Section/Category. In preparing their manuscript, the authors are required to follow the "Instructions to Authors." Submissions will be reviewed according to C&IE's rigorous standards and procedures using double-blind peer review by at least two qualified reviewers.



Publication Schedule:




Managing Guest Editor



Prof. Kannan Govindan



DIAS-Chair of Tech Science,



SDU Centre for Sustainable Supply Chain Engineering,



Dept. of Technology and Innovation



University of Southern Denmark



Email: [email protected]



 



Guest Editors



Dr. Karim Zkik



International University of Rabat,



TICLab, ESIN, Rabat, Morrocco



Email: [email protected]



Prof. Sachin S. Kamble Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138, 101967.



Department of Strategy (Operations and Supply Chain Management),



EDHEC Business School,



Roubaix, France-59057



[email protected]



Dr. Amine Belhadi



Cadi Ayyad University,



Marrakech, Morocco



[email protected]



Dr. Anass Cherrafi



ENSAM-Meknes



Moulay Ismail University, Meknes, Morocco



[email protected]



 



References



Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change, 120447.



Belhadi, A., Zkik, K., Cherrafi, A., & Sha'ri, M. Y. (2019). Understanding big data analytics for manufacturing processes: insights from literature review and multiple case studies. Computers & Industrial Engineering, 137, 106099.



Buil-Gil, D., Miró-Llinares, F., Moneva, A., Kemp, S., & Díaz-Castaño, N. (2020). Cybercrime and shifts in opportunities during COVID-19: a preliminary analysis in the UK. European Societies, 1-13.



Bürer, M. J., de Lapparent, M., Pallotta, V., Capezzali, M., & Carpita, M. (2019). Use cases for Blockchain in the Energy Industry Opportunities of emerging business models and related risks. Computers & Industrial Engineering, 137, 106002.



Carrapico, H., & Farrand, B. (2020). Discursive continuity and change in the time of Covid-19: the case of EU cybersecurity policy. Journal of European Integration, 42(8), 1111-1126.



Giahi, R., MacKenzie, C. A., & Hu, C. (2020). Design optimization for resilience for risk-averse firms. Computers & Industrial Engineering, 139, 106122.



Govindan, K., Mina, H., & Alavi, B. (2020). A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). Transportation Research Part E: Logistics and Transportation Review, 138, 101967.



Govindan, K., (2021). Addressing the barriers of blockchain technology in remanufacturing for achieving circular manufacturing, Business Strategy and the Environment (Forthcoming)



Hakak, S., Khan, W. Z., Imran, M., Choo, K. K. R., & Shoaib, M. (2020). Have you been a victim of COVID-19-related cyber incidents? Survey, taxonomy, and mitigation strategies. IEEE Access, 8, 124134-124144.



Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171, 116-133.



Kamble, S. S., Gunasekaran, A., Kumar, V., Belhadi, A., & Foropon, C. (2020). A machine learning based approach for predicting blockchain adoption in supply chain. Technological Forecasting and Social Change, 120465.



Kaur, H., Singh, S. P., Garza-Reyes, J. A., & Mishra, N. (2020). Sustainable stochastic production and procurement problem for resilient supply chain. Computers & Industrial Engineering, 139, 105560.



Levalle, R. R., & Nof, S. Y. (2015). A resilience by teaming framework for collaborative supply networks. Computers & Industrial Engineering, 90, 67-85.



Lohmer, J., & Lasch, R. (2020). Blockchain in operations management and manufacturing: Potential and barriers. Computers & Industrial Engineering, 149, 106789.



Ramezankhani, M. J., Torabi, S. A., & Vahidi, F. (2018). Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach. Computers & Industrial Engineering, 126, 531-548.



Remko, V. H. (2020). Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. International Journal of Operations & Production Management.



Sunny, J., Undralla, N., & Pillai, V. M. (2020). Supply chain transparency through blockchain-based traceability: An overview with demonstration. Computers & Industrial Engineering, 106895.



Wong, C. W., Lirn, T. C., Yang, C. C., & Shang, K. C. (2020). Supply chain and external conditions under which supply chain resilience pays: An organizational information processing theorization. International Journal of Production Economics, 226, 107610.

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