Blockchains as Enablers for Auditing Cooperative Circular Economy Networks

Authors: Alexandris, G., Katos, V., Alexaki, S. and Hatzivasilis, G.

http://eprints.bournemouth.ac.uk/31541/

Start date: 17 September 2018

This data was imported from Scopus:

Authors: Alexandris, G., Katos, V., Alexaki, S. and Hatzivasilis, G.

http://eprints.bournemouth.ac.uk/31541/

Journal: IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD

Volume: 2018-September

eISSN: 2378-4873

ISBN: 9781538661512

DOI: 10.1109/CAMAD.2018.8514985

© 2018 IEEE. Implementing a circular economy business model which is profitable for businesses operating physical assets, while at the same time does not conflict with strategic goals of environmental policies can be a complex and risky undertaking for a single entity, especially if the asset operator is a small-to-medium enterprise (SMEs). To mitigate this, a collaborative circular economy business model is proposed, where the circular economy cycle is materialized by assets transitioning between asset operators on a demanddriven approach. Demand itself is partially based on the asset's state, which is described by its circular properties (location, condition, availability). The asset state and its transition between operators can be monitored by auditors and governmental regulators to ensure asset integrity and compliance with environmental targets. This common view of asset state between all parties can be enabled by blockchains and smart contracts, which can provide the underlying technology to share data with integrity, while simultaneously offering more efficient interoperability between participants. To demonstrate how this could be achieved, a conceptual asset record access and sharing mechanism is presented which is suitable for regulated environmental jurisdictions.

This data was imported from Web of Science (Lite):

Authors: Alexandris, G., Katos, V., Alexaki, S., Hatzivasilis, G. and IEEE

http://eprints.bournemouth.ac.uk/31541/

Journal: 2018 IEEE 23RD INTERNATIONAL WORKSHOP ON COMPUTER AIDED MODELING AND DESIGN OF COMMUNICATION LINKS AND NETWORKS (CAMAD)

Pages: 247-253

eISSN: 2378-4873

ISSN: 2378-4865

The data on this page was last updated at 04:58 on April 25, 2019.