Tracing effects of Covid-19 over small and medium enterprises

Bonazzi, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Cimmino, Francesco Maria (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Beuchat, Jean-Luc (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Vérolet, Fanny (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

In this paper, we describe an ongoing project to assess the liquidity risk of small and medium enterprises (SMEs) in a network. In doing so we try to mimic the tracing applications that have been done to Covid-19. We built a simple artefact under the shape of a method called LUC (Liquidity for Unstructured Collaborations) to (1) collect data that has been encrypted by using multiple keys, (2) store the data in a shared ledger and (3) extract the required information concerning the credit risk of each user while respecting the conditions for the zero-knowledge proof. We see this solution as well-adapted for firms performing unstructured collaboration and we see our service as complementary concerning a trusted company, in the same way, the Covid-19 tracing application collects weak signals and then send patients to doctors for official testing.


Note: Due to the COVID-19 outbreak, The ENTerprise REsearch InNOVAtion Conference venue in Split was cancelled. The proceedings of the online conference are however published according to the original schedule.


Keywords:
Conference Type:
published full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Entrepreneuriat & Management
Subject(s):
Economie/gestion
Publisher:
Split, Croatia, 10-12 September 2020
Date:
2020-09
Split, Croatia
10-12 September 2020
Pagination:
Pp. 309-321
Published in:
Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference
External resources:
Appears in Collection:



 Record created 2020-11-13, last modified 2021-02-05

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