Comprehensive approach toward managing innovation with machine learning algorithms

Details

Supervisors

Gailly, Benoît

Faculty

Louvain School of Management

Degree label

Master [60] en sciences de gestion (horaire décalé)

Abstract

In this work, we extended research already made in the fields of building a shared strategic vision for innovation and managing an entrepreneurial ecosystem for innovative project with new research conducted after 2021. The results of the research suggested that building solutions should be tailored to the organization, the external environment it is evolving into, and should be flexible. The second part of this work involved developing an AI tool capable of providing guidelines specific to a firm and its environment. Because the field of AI tools is still in development, we proposed a flexible solution not confined to a specific model, allowing further use cases and models can be tested. We finally found that the models we used in this work are still limited, as most of them successfully synthesis the given theory, while only the Mixtral model show enough cognitive capabilities to create links between the proposed PRPL Foundation organization and the given papers. For example, Mixtral model was able to provide specific guidelines to motivate the different stakeholders within the foundation. While this works shows promising results, there are still remaining open questions. The first is to acknowledge the reproducibility across several sectors, and the second is to create a system so that important papers can be directly fed to the system.