The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study
Open accessAbstract
Resilience enables supply chains to reduce their proneness to disruptions and recover faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by the use of digital technology. Blockchain, as one of the promising innovative technologies, enables a transparent, secure, and timely data exchange and automation via smart contracts. In this paper, we discuss the impact of blockchain technology on supply chain risk management and, in particular, on supply chain resilience. We identify potential risk-related blockchain application scenarios and examine their impact on the existing resilience strategies. We explore the impact of the most promising applications with respect to resilience by using an agent-based simulation model of a complex supply network affected by disruptions. The theoretical analysis reveals a promotion of supply chain resilience strategies, especially if smart contracts are used for risk-related collaboration. The simulation study indicates an increase in resilience if the underlying collaboration is based on time-efficient processes: The propagation of disruptions, the network recovery time, and total costs can be substantially reduced. However, depending on the duration of the disruption, negative effects can occur if process efficiency is insufficient. From our investigations, we derive insights for managers who are interested in practical implementation.
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Cites
A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities
Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O'Rourke, T. D., Reinhorn, A. M., Shinozuka, M., Tierney, K., Wallace, W. A., & von Winterfeldt, D. (2003) · Earthquake Spectra · doi:10.1193/1.1623497 · Cited by 5,440
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Building the Resilient Supply Chain
Christopher, M., & Peck, H. (2004) · The International Journal of Logistics Management · doi:10.1108/09574090410700275 · Cited by 3,664
(2015) · Cited by 3,471
Resilience Engineering: Concepts and Precepts
Wears, R. L. (2006) · Quality and Safety in Health Care · doi:10.1136/qshc.2006.018390 · Cited by 2,900
Perspectives in supply chain risk management
Tang, C. S. (2006) · International Journal of Production Economics · doi:10.1016/j.ijpe.2005.12.006 · Cited by 2,577
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1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149 · cited 2×
“Kshetri (2018) highlighted the ability to verify product provenance as well as a possible reduction of cybersecurity-related risks.”
BackgroundResultIvanov, D., & Dolgui, A. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1750727 · Cited by 2,100
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Cited by
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121562 · Cited by 279
Supply chain resilience: new challenges and opportunities
Shi, X., Liu, W., & Lim, M. K. (2024) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2023.2262396 · Cited by 39
Metadata
- Authors
- Lohmer, J., Bugert, N., & Lasch, R.
- Venue
- International Journal of Production Economics
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 228
- Pages
- 107882
- ISSN
- 0925-5273 (ISSN-L)
- OpenAlex
- W3046264753
- Cited by
- 404
- References
- 74
- FWCI
- 56.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Lohmer, J., Bugert, N., & Lasch, R. (2020). Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study. International Journal of Production Economics. https://doi.org/10.1016/j.ijpe.2020.107882
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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