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.
Original languageEnglish
Title of host publicationProceedings of the EMerging Technology conference (EMiT) 2019
EditorsM. K. Bane, V. Holmes
PublisherThe Emerging Technology (EMiT) Conference
Pages66-68
Number of pages3
ISBN (Print)9780993342646
Publication statusPublished - Jul 2019
EventEmerging Technology Conference - University of Huddersfield, Huddersfield, United Kingdom
Duration: 9 Apr 201911 Apr 2019
https://emit.tech/

Conference

ConferenceEmerging Technology Conference
Abbreviated titleEMiT
CountryUnited Kingdom
CityHuddersfield
Period9/04/1911/04/19
Internet address

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