Advances in Enterprise Engineering XVI by Unknown
Author:Unknown
Language: eng
Format: epub
ISBN: 9783031341755
Publisher: Springer Nature Switzerland
3.1 Research Methodology
For this project, the design-science research is an appropriate fit because the production of novel and innovative artifacts, in this case the method for automatically generating smart contracts from DEMO models and the computational tools that they entail, brings forth an opportunity to expand the boundaries of existing theory whilst iteratively understanding the design problem at hand and the solution for logistics collaboration.
For that effect, the Seven Guidelines for Design Science in Information Systems Research [24] were followed and the executed Design Science Research Cycles [25] will be summarily disclosed as follows. The Relevance cycle had to be addressed with care as stakeholders had to be guaranteed to not be competing in the application domain of the project which is last-mile delivery. In this domain, the competition is deflated due to the lack of appeal for reduced profit margins and optimized field operations. In turn, this constituted an opportunity for logistics collaboration while being leveraged by the technical virtues of smart contracts. However, the technicalities of smart contracts raise barriers in terms of the expertise, time and effort needed in producing such a contract and thus it is a relevant requirement to fulfil. The design artifacts, i.e. the DEMO (meta)-models, computational tools and generated smart contracts were subjected to rapid iterations of the Design Cycle and assessed until the designed method allowed the production of smart contracts matching the contractsâ code and semantics of an already established Mortgage case [7]. This paper builds upon existing knowledge, namely the EE theories and the DEMO methodology and it is in the Rigor Cycle that our contribution to the community is established. From the soundness of the EE-theories, the newly proposed DEMO artifacts were and will still be subjected to Design Science Research Cycles whose outcome will be published in future scientific releases.
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