2020
DOI: 10.1002/cpe.5843
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Blockchain adoption drivers: The rationality of irrational choices

Abstract: There has been a huge increase in interest in blockchain technology. However, little is known about the drivers behind the adoption of this technology. In this article we identify and analyze these drivers, using six real-world and representative scenarios. We confirm in our analysis that blockchain is not an appropriate technology for some scenarios, from a purely technical point of view. The choice for blockchain technology in such scenarios may therefore seem as an irrational choice. However, our analysis r… Show more

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Cited by 11 publications
(15 citation statements)
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References 27 publications
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“…In this use, case blockchain brings different agencies (cyclists, the police, insurance companies) together, reducing administrative overhead and time expenditures (bicycle theft reporting is made easier). Yet, it was not the benefits of blockchain per se (a decentralized data base open to independent parties without opening up their data), but the initiative and vigour of IBM, a private company that invested money, time, and efforts to bring all stakeholders together (this case is reviewed in [21]). Accordingly, probably a successful use case for DLT in science might resemble this example: an obvious problem to be solved, and a highly motivated intermediary with enough resources to bring different parties together.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…In this use, case blockchain brings different agencies (cyclists, the police, insurance companies) together, reducing administrative overhead and time expenditures (bicycle theft reporting is made easier). Yet, it was not the benefits of blockchain per se (a decentralized data base open to independent parties without opening up their data), but the initiative and vigour of IBM, a private company that invested money, time, and efforts to bring all stakeholders together (this case is reviewed in [21]). Accordingly, probably a successful use case for DLT in science might resemble this example: an obvious problem to be solved, and a highly motivated intermediary with enough resources to bring different parties together.…”
Section: Discussionmentioning
confidence: 99%
“…Apart from a set of technical solutions, blockchain for science projects in 2017-2019 have moved forward with a more ambitious goal of disrupting science as a whole [40] (pp. [19][20][21][22]. The impetus of these projects is mounting dissatisfaction with the oligopoly of large publishing houses, the "tyranny of metrics" [51] and indicators, the alarming growth of biased and non-reproducible research, and the "precariatization" of scientists.…”
Section: Decentralized Governance and Token Economymentioning
confidence: 99%
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“…Trust in a third party appears to be a much wider concept than the trust a blockchain can offer. This technology appears to provide trust in integrity of the data recorded on the blockchain, but the trust needed by a participant goes beyond integrity of data alone [24].…”
Section: Blockchain Technology In Insurancementioning
confidence: 99%
“…Token-based models usually take the transaction type of "token payment", elect bookkeepers to synchronize system states through competitive "mining", and reward their work with tokens for incentive. These models are more applicable to contexts running public blockchains where nodes are free to join and leave [39,40]. In our case, however, stores in a shopping mall are generally fixed and definite, and thus form a permissioned blockchain rather than the public one.…”
Section: Blockchain Data Modelsmentioning
confidence: 99%