Grassi, A orcid.org/0000-0002-7656-0480 and Vallati, M (2019) AI to Facilitate Legal Analysis in the PESTLE Context. In: Bane, MK and Holmes, V, (eds.) Proceedings of the 2019 Emerging Technology Conference. Emerging Tech (EMiT), 09-11 Apr 2019, Huddersfield, UK. University of Huddersfield ISBN 9780993342646
Abstract
PESTLE analysis has been used for decades to help companies in taking challenging and complex decisions with regards to aspects such as the development of new lines of products, or the expansion into new markets.
Despite its complexity, PESTLE analysis is still performed manually, with issues related to the efficiency of the overall process, and the quality of the suggested actions.
In this work, leveraging on recent advances in Artificial Intelligence, we propose a framework for companies which can be used to support performing PESTLE analysis. In particular, we focus on the Legal aspect of the PESTLE acronym, that is one of the most complex to investigate.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Artificial Intelligence, Marketing, Application |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Mar 2021 12:21 |
Last Modified: | 15 Mar 2021 12:21 |
Status: | Published |
Publisher: | University of Huddersfield |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171873 |