Wang, Yingli ![]() ![]() ![]() |
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Abstract
This paper reports the main findings from a design science research project that sets out to explore and understand the need for a more scientific and democratised process for preselecting, vetting, and engaging start-up and SME suppliers in a manufacturing environment. The project, using aerospace manufacturing as a test case will investigate the feasibility of using artificially intelligent web-scraping, third-party APIs, and distributed ledger technologies (DLT) to provide a localised and highly automated manufacturing marketplace. This paper’s findings lend insight into emerging digital platform engagements between participating supply chain actors in open innovation environments.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Published Online |
Status: | Published |
Schools: | Business (Including Economics) Computer Science & Informatics |
Additional Information: | Accepted by IFAC for publication under a Creative Commons License CC-BY-NC-ND |
Publisher: | Elsevier |
Date of First Compliant Deposit: | 23 June 2022 |
Date of Acceptance: | 12 April 2022 |
Last Modified: | 30 Nov 2022 13:48 |
URI: | https://orca.cardiff.ac.uk/id/eprint/150750 |
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