Abstract
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 language | English |
|---|---|
| Title of host publication | The EMerging Technology conference (EMiT) 2019 |
| Editors | M. K. Bane, V. Holmes |
| Publisher | IET |
| Pages | 66-68 |
| Number of pages | 3 |
| ISBN (Print) | 9780993342646 |
| DOIs | |
| Publication status | Published - Jul 2019 |
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AI to Facilitate Legal Analysis in the PESTLE Context. / Vallati, Mauro; Grassi, Alessia.
The EMerging Technology conference (EMiT) 2019. ed. / M. K. Bane; V. Holmes. IET, 2019. p. 66-68.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - AI to Facilitate Legal Analysis in the PESTLE Context
AU - Vallati, Mauro
AU - Grassi, Alessia
PY - 2019/7
Y1 - 2019/7
N2 - 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 linesof 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.
AB - 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 linesof 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.
KW - Artificial Intelligence
KW - Marketing
KW - Applications
U2 - https://emit.tech/emit/emit2019/emit2019-proceedings/
DO - https://emit.tech/emit/emit2019/emit2019-proceedings/
M3 - Conference contribution
SN - 9780993342646
SP - 66
EP - 68
BT - The EMerging Technology conference (EMiT) 2019
A2 - Bane, M. K.
A2 - Holmes, V.
PB - IET
ER -