Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

Queiroz, Maciel M.; Wamba, Samuel Fosso

doi:10.1016/j.ijinfomgt.2018.11.021

Cited by 763 publications

(686 citation statements)

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“…Making innovations and data work for the SC resilience in crisis times is a promising future research avenue with a particular focus on data analytics, artificial intelligence, and machine learning. The understanding and progressing the research of how all these technologies can be used to operate the SCs in a resilient way in cases of epidemic outbreaks is an important future research area (Choi et al, 2017(Choi et al, , 2019Choi and Lambert, 2017b, Dubey et al, 2019a, Ganasegeran and Abdulrahman, 2020, Queiroz and Wamba, 2019, Yoon et al, 2019. In particular, digital SC twins ) -i.e., the computerized SC models that represent the network state for any given moment in real time -can be used to support the decision-making during the epidemic outbreaks.…”

Section: Resultsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,652

1,348

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Epidemic outbreaks are a special case of supply chain (SC) risks which is distinctively characterized by a long-term disruption existence, disruption propagations (i.e., the ripple effect), and high uncertainty. We present the results of a simulation study that opens some new research tensions on the impact of COVID-19 (SARS-CoV-2) on the global SCs. First, we articulate the specific features that frame epidemic outbreaks as a unique type of SC disruption risks. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of epidemic outbreaks on the SC performance using the example of coronavirus COVID-19 and anyLogistix simulation and optimization software. We offer an analysis for observing and predicting both short-term and long-term impacts of epidemic outbreaks on the SCs along with managerial insights. A set of sensitivity experiments for different scenarios allows illustrating the model's behavior and its value for decision-makers. The major observation from the simulation experiments is that the timing of the closing and opening of the facilities at different echelons might become a major factor that determines the epidemic outbreak impact on the SC performance rather than an upstream disruption duration or the speed of epidemic propagation. Other important factors are lead-time, speed of epidemic propagation, and the upstream and downstream disruption durations in the SC. The outcomes of this research can be used by decisionmakers to predict the operative and long-term impacts of epidemic outbreaks on the SCs and develop pandemic SC plans. Our approach can also help to identify the successful and wrong elements of risk mitigation/preparedness and recovery policies in case of epidemic outbreaks. The paper is concluded by summarizing the most important insights and outlining future research agenda.

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Section: Resultsmentioning

confidence: 99%

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Ivanov

2020

Transportation Research Part E: Logistics and Transportation Re

1,652

1,348

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“…BCT application was represented by the degrees of information transparency, immutability, and smart contracts' applicability. Information transparency, defined as visibility of the complete history of transactions to network participants in order to enable auditability and traceability, was measured using three items adopted by Queiroz et al [48]. Information immutability, defined as securing the unchanged assets without the network participants' consensus, was measured using four items adopted by Kouhizadeh and Sarkis [3].…”

Section: Measurement Item Generationmentioning

confidence: 99%

The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance

2019

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Blockchain technology developed as a technical platform for electronic money. It is now considered a next generation information technology tool for sustainable growth in supply chain (SC) management. However, its study is relatively rare in the literature on SC collaboration and sustainability management research, despite its advantages in sustaining connectivity and reliability among SC partners. This study investigates how the use of blockchain in SC activities can influence (increase or decrease) SC partnership efficiency and growth, thereby affecting SC performance outcomes. Specifically, this study empirically validates a measurement and structural equation model with 306 SC experts from various industries. The findings show that the blockchain technology characteristics (information transparency, information immutability, and smart contracts) have significant positive effects on partnership growth and marginal effects on partnership efficiency. Though partnership growth has a positive effect on firm performance, partnership efficiency shows a negative effect.

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“…We thus posit that the RBAC model is still an essential access control model to adopt in the KMS environment.Blockchain has been a revolutionary paradigm in systems of record and it has been seen as the emerging technology in industry and the research community. The technology plays a significant role in controlling, monitoring and, most importantly, securing systems [13][14][15][16][17]. With the facilitation of data sharing and other resources, including knowledge, its combination with other systems enable the automation of time-sensitive workflows in a cryptographic manner.…”

mentioning

confidence: 99%

An ECDSA Approach to Access Control in Knowledge Management Systems Using Blockchain

et al. 2020

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Access control has become problematic in several organizations because of the difficulty in establishing security and preventing malicious users from mimicking roles. Moreover, there is no flexibility among users in the participation in their roles, and even controlling them. Several role-based access control (RBAC) mechanisms have been proposed to alleviate these problems, but the security has not been fully realized. In this work, however, we present an RBAC model based on blockchain technology to enhance user authentication before knowledge is accessed and utilized in a knowledge management system (KMS). Our blockchain-based system model and the smart contract ensure that transparency and knowledge resource immutability are achieved. We also present smart contract algorithms and discussions about the model. As an essential part of RBAC model applied to KMS environment, trust is ensured in the network. Evaluation results show that our system is efficient.Information 2020, 11, 111 2 of 15 stored-in files to complex, heterogeneous array of systems with sophisticated options, there are several components of a KMS, and these KMSs deploy KM portals as central points of access for its component systems.The role-based access control (RBAC) framework has been the mechanism employed by most KMSs to achieve access control [4,5]. With roles and titles or statuses, instead of users attributed to access rights, many of today's organizations adopt such a model to implement their access control mechanisms [6][7][8][9][10]. With this contention in the existing literature, both researchers and practitioners over the years continued to extend the core RBAC to include features that: (1) protect and wholly secure knowledge assets; (2) align with KM initiatives; and (3) maintain the determination and motivation to share and transfer knowledge. It is important to emphasize that KM initiatives embrace numerous socio-technical elements, processes, structures, and business models in a broader spectrum. Social entities such as individuals, projects teams, collaborative groups, and inter-organizational relationships use sophisticated technological tools to function in organizations. The dynamics associated with systems and human interactions in KMS environment require critical security attention as users generate, store and utilize knowledge assets. A challenge to such KMS strategic initiatives is thus contingent on the appropriateness of the extension of RBAC deployable in KMS without compromising the overall knowledge sharing or transfer agenda.As with other information systems, users of KMS occupy roles through specific portals and platforms, and these roles are associated with permissions. At different access levels, users can access knowledge items (or objects) and perform operations on them according to their defined specific tasks. With roles associated with a set of sessions, users are allowed to share or transfer knowledge packages across different hierarchical levels. Since knowledge gives organizations competitive advantage [1...

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Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA

Cited by 763 publications

References 100 publications

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance

An ECDSA Approach to Access Control in Knowledge Management Systems Using Blockchain

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