Blockchain in transport and logistics – paradigms and transitions

Koh, S.C. Lenny; Dolgui, Alexandre; Sarkis, Joseph

doi:10.1080/00207543.2020.1736428

Cited by 189 publications

(95 citation statements)

References 33 publications

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“…The employment of disruptive technologies can be a useful tool in this area (Choi et al, 2020a;Choi et al, 2020b;Shen et al, 2019;Ting et al, 2020;Govindan et al, 2018). Therefore, the use of larger amounts of data and blockchain technologies (Choi, 2019;Choi et al, 2019;Koh et al, 2020) to control disruptions is another attractive and new topic that is recommended to be considered as a future scope by researchers.…”

Section: Resultsmentioning

confidence: 99%

A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

Govindan

Mina

Alavi

2020

Transportation Research Part E: Logistics and Transportation Re

515

351

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The disasters caused by epidemic outbreaks is different from other disasters due to two specific features: their long-term disruption and their increasing propagation. Not controlling such disasters brings about severe disruptions in the supply chains and communities and, thereby, irreparable losses will come into play. Coronavirus disease 2019 (COVID-19) is one of these disasters that has caused severe disruptions across the world and in many supply chains, particularly in the healthcare supply chain. Therefore, this paper, for the first time, develops a practical decision support system based on physicians' knowledge and fuzzy inference system (FIS) in order to help with the demand management in the healthcare supply chain, to reduce stress in the community, to break down the COVID-19 propagation chain, and, generally, to mitigate the epidemic outbreaks for healthcare supply chain disruptions. This approach first divides community residents into four groups based on the risk level of their immune system (namely, very sensitive, sensitive, slightly sensitive, and normal) and by two indicators of age and pre-existing diseases (such as diabetes, heart problems, or high blood pressure). Then, these individuals are classified and are required to observe the regulations of their class. Finally, the efficiency of the proposed approach was measured in the real world using the information from four users and the results showed the effectiveness and accuracy of the proposed approach.

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Section: Resultsmentioning

confidence: 99%

A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

Govindan

Mina

Alavi

2020

Transportation Research Part E: Logistics and Transportation Re

515

351

View full text Add to dashboard Cite

show abstract

“…Moreover, findings show that blockchain may yield the efficiency of logistics and digital documentation maintenance up to 74% and 75% respectively, which delivers advantages over traditional materials' management systems and improves profitability of Business to Business (B2B) market companies in the e-commerce market [120]. Such applications facilitate auditability, disintermediation and smart contracts, which also contribute to the business benefits [121,122], provided that multiple disciplines and a variety of stakeholders will cooperate for taking full advantage of related technology [123].…”

Section: Effects Of Glm On Supply Chain Performancementioning

confidence: 99%

Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector

2020

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Green agri-food supply chains are increasingly attracting research interest, owing to their potential capacity for resilience against recent crises (e.g., financial, COVID-19) as well as end-consumers’ concerns on sustainability issues. In this context, this paper aims to explore the relationship between green supply chain management practices and three different performance aspects, namely, supply chain, green (environmental) and business performance, and controlling for environmental dynamism. Field research was conducted through a structured questionnaire contacted to 134 executives of firms in the agri-food sector in Greece. The results reveal that information sharing, logistics networking and transportation are the most powerful factors that impact sustainable, business and supply chain performance. In addition, green packaging is related to financial and social performance aspects. Interestingly, green warehousing and logistics emissions failed to establish any relationship with performance outcomes. The conclusions and recommendations drawn in the present study are expected to provide meaningful guidance for the supply chain decision-making process, as logistics managers are becoming increasingly aware of exploiting all available resources, knowhow and competitive advantages for attaining sustainable performance.

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“…Based on the IT tools used for information sharing, Olorunniwo and Li (2011) Moreover, the current transition to industry 4.0 with its enabling technologies (autonomous robots; additive manufacturing; digital Simulation; horizontal and vertical systems integration; Internet of things; Big Data and Analytics; Cloud Computing; Cybersecurity; Augmented Reality) has being transforming organizational activities, both in the direct supply chain and reverse, thus promoting the implementation of Circular Economy (CE) through various concepts based on technological innovations (Koh et al, 2020;Kouhizadeh et al, 2019). It is important to reinforce that RL is integrating part of CE.…”

Section: It Competency (Itc)mentioning

confidence: 99%

The effect of collaboration and IT competency on reverse logistics competency - Evidence from Brazilian supply chain executives

Campos

Paula

Caten

et al. 2020

Environmental Impact Assessment Review

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Business models have being designed, worldwide, to create sustainability competencies and in particular to incorporate reverse logistics, but Brazilian executives have not yet fully adhered to Law 12,305 on solid waste and reverse logistics. What would be the Brazilian executives' perception about reverse logistics competency and the support provided by a collaborative and IT competency? The objective of the paper is to investigate the effects of collaboration and IT competency in developing reverse logistics competency, as a strategy, and its consequences in economic and environmental performance. A survey was performed with 320 Brazilian supply chain executives and analyzed using Structural Equation Modeling. The models demonstrated that collaboration has a direct positive influence on the development of reverse logistics competency, by executives' point of view. The moderation effect between collaboration and IT competency for reverse logistics was not confirmed, since it was adopted a strategic view of reverse logistics. Therefore, despite there was not a moderation effect, IT presented a lower direct effect on reverse logistics competency. Results reinforce that organizations that develop reverse logistics competency tend to improve their economic and environmental performances.

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Blockchain in transport and logistics – paradigms and transitions

Cited by 189 publications

References 33 publications

A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)

Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector

The effect of collaboration and IT competency on reverse logistics competency - Evidence from Brazilian supply chain executives

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