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Intelligence artificielle et leviers de résilience organisationnelle

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Tetog Togue, Kevin ULiège
Promotor(s) : Van Caillie, Didier ULiège
Date of defense : 2-Sep-2020/8-Sep-2020 • Permalink : http://hdl.handle.net/2268.2/10491
Details
Title : Intelligence artificielle et leviers de résilience organisationnelle
Author : Tetog Togue, Kevin ULiège
Date of defense  : 2-Sep-2020/8-Sep-2020
Advisor(s) : Van Caillie, Didier ULiège
Committee's member(s) : Kamto Kenmogne, Marius ULiège
Bay, Maud ULiège
Language : French
Number of pages : 74
Discipline(s) : Business & economic sciences > Strategy & innovation
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur de gestion, à finalité spécialisée en sustainable performance management
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[fr] The current environment in which organizations evolve is increasingly complex. Organizations in need to identify the environment in which they operate in order to seize opportunities and mitigate risks need the right tools. Organizational resilience therefore provides a specific framework for environmental scanning. It gives organizations the potential to anticipate, resist and recover from crises and shocks.

To face the challenges presented by the current environment, resilience must acquire new tools in line with the evolution of the environment.This work therefore explores how artificial intelligence tools can help in building resilience within an organization.

Resilience is defined according to 3 main axes which are the analysis of the environment for anticipation, the reaction to unforeseen events based on the efficient use of available resources and the learning from past events. This work will then explore the elements contributing to each axis of resilience and determine how artificial intelligence could be a lever for them.


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Access Memoire-AI et Resilience organisationnelle.pdf
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Author

  • Tetog Togue, Kevin ULiège Université de Liège > Master ingé. gest., à fin.

Promotor(s)

Committee's member(s)

  • Kamto Kenmogne, Marius ULiège Université de Liège - ULiège > HEC Liège : UER > UER Finance et Droit: Diagnostic et contrôle de l'entreprise
    ORBi View his publications on ORBi
  • Bay, Maud ULiège Université de Liège - ULiège > HEC Liège : Serv. infor. UDI/NTE (rue Louvrex)
    ORBi View his publications on ORBi
  • Total number of views 97
  • Total number of downloads 12










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