4.4 Article

Blockchain based choreographies: The construction industry case study

Journal

Publisher

WILEY
DOI: 10.1002/cpe.6740

Keywords

accountability; blockchain; BPMN choreography; compliance; construction industry; smart contracts; transparency

Ask authors/readers for more resources

BPMN choreography describes collaboration among independent participants, and blockchains and smart contracts can meet the needs for transparency, responsibility, and compliance. This work aims to provide formally-defined tools to meet these requirements and applies them to a case study in the construction industry.
BPMN choreography is a modeling language capable to describe scenarios where several independent participants have to collaborate in a climate of opposing interests and therefore are forced to trust each other. For this reason, in many contexts, a strong need for transparency, responsibility, and choreography compliance arise by the various participants. Blockchains and smart contracts, thanks to their characteristic of providing a decentralized and consensus-based validation mechanism, seem to be able to meet these needs in an untrusted scenario. Nevertheless, most of the related work focused either on transparency, accountability, or compliance, but none on all three of them. Furthermore, such works do not take into account the nondeterministc nature of choreographies. This work aims at using blockchains and smart contracts in this scenario providing a formally well-defined set of tools to match all three the aforementioned requirements. This work applies the proposed techniques to a case study from the construction industry, an economical relevant application domain where the demand for transparency, accountability, and compliance with procurement contracts (that can be modeled as choreographies) is very strong.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available