Toward a Decentralized Marketplace for Self-Maintaining Machines

Miehle, Daniel; Meyer, Matthias M.; Luckow, André; Bruegge, Bernd; Eßig, Michael

doi:10.1109/blockchain.2019.00066

Cited by 13 publications

(10 citation statements)

References 21 publications

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“…Nevertheless, our findings provide insights that especially the risk of losing strategic knowhow and IP (#6) requires safeguarding, which increases the control costs of strategic demands. Thus, an appropriate data infrastructure for exchange and protection (e.g., decentralised databases) needs to be used preventively ( Miehle et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

A Delphi study on the supply risk-mitigating effect of additive manufacturing during SARS-COV-2

Meyer

Glas

Eßig

2022

Journal of Purchasing and Supply Management

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Section: Discussionmentioning

confidence: 99%

A Delphi study on the supply risk-mitigating effect of additive manufacturing during SARS-COV-2

Meyer

Glas

Eßig

2022

Journal of Purchasing and Supply Management

Self Cite

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“…For this purpose, a "procurement task force [for] 3D printing" should be established in advance to coordinate demands and interactions of internal/external AM and traditional sourcing during the disruption. Additionally, local AMSPs should be preselected and connected to a decentralized data infrastructure (Miehle et al, 2019) to enable the secure exchange of data and fast assignment, for example, by using a platform solution to conclude contracts in the short-term (Glas et al, 2020):…”

Section: Discussionmentioning

confidence: 99%

Learning from supply disruptions caused by SARS-CoV-2: use of additive manufacturing as a resilient response for public procurement

Meyer

Glas

Eßig

2021

JOPP

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Purpose The SARS-CoV-2 pandemic has had severe effects on economies worldwide and, in particular, on public institutions that must keep their operations running while supply chains are interrupted. The purpose of this study is to examine how public institutions act during a pandemic to ensure the security of supply. Design/methodology/approach The distinct focus is if, why and how public institutions have adopted additive manufacturing (AM) – a production technology colloquially known as three-dimensional printing in which a product is created by joining raw material layer by layer based on a digital model (computer-aided design [CAD] file) of the product – in reaction to supply disruptions caused by the SARS-CoV-2 pandemic. For this purpose, four cases within the context of the pandemic supply disruption are used as the units of analysis. Findings The findings are twofold: public institutions reacted, on the one hand, with a behavioral solution approach, trying to solve the supply disruption with new or changed forms of cooperation and collaboration. On the other hand, public institutions used a technical solution approach (TSA) as a supply disruption response and intensified their use of AM. Research limitations/implications This research derives an implications model that focuses on the TSA. Considering the ex ante and ex post phases of the disruption, several effects of AM on resilience are identified. The most relevant is the long-term learning effect (i.e. AM data created during this disruption might also help in a new disruption). Practical implications Practitioners who act under extreme pressure and uncertainty are informed by cases that have managed to close bottleneck situations with either a behavioral or TSA. Specific strategies are given for how public buyers could use AM within a pandemic situation to mitigate supply bottlenecks, such as increasing their robustness by localizing sourcing and increasing agility by combining traditional and additive supply sources. Additionally, insights are provided into how public organizations can increase their level of preparedness by including disruption paragraphs, establishing CAD databases, in contract clauses and keeping reserve contracts with AM service providers. Originality/value This research contrasts behavioral and technical solution concepts for a pandemic in the public sector. Thus, it provides insights into the relative benefits of AM and causes and effect with regard to how AM affects supply robustness and agility.

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“…Thus, blockchain eliminates the need for a central authority to validate transactions, yielding significant computational and cost efficiencies [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. Through smart contracts, novel trustless intermediation mechanisms for decentralized data marketplace services can emerge [ 41 , 42 , 43 , 44 , 45 ]. By eliminating outdated trust-building mechanisms in conventional e-marketplaces, marketplace intermediaries or TTPs are eliminated, thereby lowering barriers to entry and transaction costs [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ].…”

Section: Literature Review and Preliminariesmentioning

confidence: 99%

“…This transition to a blockchain-based framework marks a stride toward decentralized P2P data marketplaces, offering a more equitable, secure, reliable, and transparent environment for data exchange. Despite advances in blockchain and smart contract-based P2P data trading models [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 21 , 22 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 ], existing systems have yet to fully address the inherent challenges of traditional marketplaces, particularly in terms of decentralization, transparency, fairness, security, trust, user control over data ownership, and consent control over data. How can blockchain, smart contracts, and decentralized storage technologies be leveraged to build secure, reliable, and user-centric decentralized data marketplaces?…”

Section: Introductionmentioning

confidence: 99%

DataMesh+: A Blockchain-Powered Peer-to-Peer Data Exchange Model for Self-Sovereign Data Marketplaces

Merlec,

2024

Sensors

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In contemporary data-driven economies, data has become a valuable digital asset that is eligible for trading and monetization. Peer-to-peer (P2P) marketplaces play a crucial role in establishing direct connections between data providers and consumers. However, traditional data marketplaces exhibit inadequacies. Functioning as centralized platforms, they suffer from issues such as insufficient trust, transparency, fairness, accountability, and security. Moreover, users lack consent and ownership control over their data. To address these issues, we propose DataMesh+, an innovative blockchain-powered, decentralized P2P data exchange model for self-sovereign data marketplaces. This user-centric decentralized approach leverages blockchain-based smart contracts to enable fair, transparent, reliable, and secure data trading marketplaces, empowering users to retain full sovereignty and control over their data. In this article, we describe the design and implementation of our approach, which was developed to demonstrate its feasibility. We evaluated the model’s acceptability and reliability through experimental testing and validation. Furthermore, we assessed the security and performance in terms of smart contract deployment and transaction execution costs, as well as the blockchain and storage network performance.

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Toward a Decentralized Marketplace for Self-Maintaining Machines

Cited by 13 publications

References 21 publications

A Delphi study on the supply risk-mitigating effect of additive manufacturing during SARS-COV-2

A Delphi study on the supply risk-mitigating effect of additive manufacturing during SARS-COV-2

Learning from supply disruptions caused by SARS-CoV-2: use of additive manufacturing as a resilient response for public procurement

DataMesh+: A Blockchain-Powered Peer-to-Peer Data Exchange Model for Self-Sovereign Data Marketplaces

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