Unveiling Generative AI Abilities to Support Project Teams

The practical application of generative artificial intelligence in project teams has tremendous potential for achieving outstanding outcomes. However, little has been discovered in the literature about generative artificial intelligence abilities for enhancing project teams. Thus, the purpose of this study is to explore the abilities of generative artificial intelligence to enhance the performance of project teams and achieve project success. By conducting semi-structured interviews with 10 artificial intelligence professionals, the study reveals 37 abilities of generative artificial intelligence. The study applies the Hierarchical Clustering Algorithm of Machine Learning to group similar abilities, followed by the Silhouette plot. Consequently, the study determines 34 abilities of generative artificial intelligence that belong to 12 main clusters under themes. This study contributes to the domain of Generative Artificial Intelligence by determining its abilities and significance in project teams.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836399
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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Unveiling Generative AI Abilities to Support Project Teams

Mourad Messaadia, Mazen Ali, Maryam AbuAlfateh
1 citations
Big Data and Business Intelligence
0.53
article

Unveiling Generative AI Abilities to Support Project Teams

Mourad Messaadia, Mazen Ali, Maryam AbuAlfateh
article en
1 citations

Abstract

The practical application of generative artificial intelligence in project teams has tremendous potential for achieving outstanding outcomes. However, little has been discovered in the literature about generative artificial intelligence abilities for enhancing project teams. Thus, the purpose of this study is to explore the abilities of generative artificial intelligence to enhance the performance of project teams and achieve project success. By conducting semi-structured interviews with 10 artificial intelligence professionals, the study reveals 37 abilities of generative artificial intelligence. The study applies the Hierarchical Clustering Algorithm of Machine Learning to group similar abilities, followed by the Silhouette plot. Consequently, the study determines 34 abilities of generative artificial intelligence that belong to 12 main clusters under themes. This study contributes to the domain of Generative Artificial Intelligence by determining its abilities and significance in project teams.

University of Bahrain (BH)
Openalex Percentile: Top 22%
Big Data and Business Intelligence
0.53
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