Abstract
Temporary forms of organizing like projects become ever more common. In relative terms, the act of organizing takes up larger parts of effort than compared to permanent organizations. Still, it is a difficult and time-consuming process, which is often not considered meritorious. AI, especially natural language processing (NLP) algorithms and models have become astoundingly capable. They even embed real-world knowledge within their deep neural networks. Extant models were probed for their understanding of the domain of project organizing. Attempts to fine-tune such networks in order to increase domain knowledge and perceived usefulness are reported here. Future ways of making use of NLP approaches for temporal organizing are discussed.
Presenters
Helge NuhnProfessor, Industrial Engineering, Business Adminsitration and Technology Management, Wilhelm Büchner Hochschule, Hessen, Germany
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Organizations as Knowledge Makers
KEYWORDS
Temporary Organizations, Projects, Project Management, AI, Artificial Intelligence, NLP
