Abstract
The purpose of the paper is to assess the state of the art in the co-existence of blockchain technology with other 4.0 technologies that are used for supply chain management and to identify examples of solutions that can support the construction of resilient chains. The paper also aims to identify future research directions that are extensions of the primary objective. Therefore, a coalescence of coexisting 4.0 technologies that can support the construction of resilient supply chains is proposed.
For this purpose, secondary data from SCOPUS was used, as well as the author's program, jVectorMap library (https://jvectormap.com/), and data from collaboratively edited multilingual knowledge graph – Wikidata (https://www.wikidata.org/wiki/Wikidata:Main_Page).
Among other things, the authors identified four geographic clusters, in which blockchain coexistence with other 4.0 technologies is written about the most. However, only a few studies examined the synergistic effect between the two. It was also found that the least discussed attribute of resilient blockchains in the context of 4.0 technologies is supply chain agility. Moreover, other attributes like transparency, security and trust in supply chains can be further developed by using blockchain technology with the support of other technologies. At the same time, it was found that research on this topic is at a very early stage of development. Based on the identified research gaps, it can be concluded that science in the subject area is not keeping up with the needs of the economy.
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“The project financed within the Regional Initiative for Excellence programme of the Minister of Science and Higher Education of Poland, years 2019–2022, grant no. 004/RID/2018/19, financing 3,000,000 PLN”.
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Maryniak, A., Bulhakova, Y., Lewoniewski, W., Bal, M. (2021). Creating Resilient Supply Chains Using Combination of Blockchain Technology and Different 4.0 Technologies. In: Lopata, A., Gudonienė, D., Butkienė, R. (eds) Information and Software Technologies. ICIST 2021. Communications in Computer and Information Science, vol 1486. Springer, Cham. https://doi.org/10.1007/978-3-030-88304-1_2
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