AI in Project Memory and Learning: But Not All Blueprints Are the Same

As digitalization continues to reshape project work, it presents significant opportunities to overcome challenges related to temporality and multiplicity, which often hinder learning and innovation. This paper integrates perspectives from Information Systems and Project Management to explore how artificial intelligence (AI)—specifically Predictive AI and Generative AI—can enhance collective memory within project settings. Our findings demonstrate AI's transformative potential by 1) ensuring consistent data collection and storage through centralized systems, 2) enhancing and personalizing retrieval via predictive models, 3) generating innovative digital models and prototypes for shared project understanding, 4) supporting comprehensive scenario evaluations through mixed-data simulations, and 5) improving collaboration and communication across distributed teams. These insights underscore AI's dual role in optimizing processes and driving innovation, highlighting its strategic importance in the future of project management.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
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article

AI in Project Memory and Learning: But Not All Blueprints Are the Same

Journal of the Association for Information Systems
Particle Detector Development and Performance
article

AI in Project Memory and Learning: But Not All Blueprints Are the Same

article en

Abstract

As digitalization continues to reshape project work, it presents significant opportunities to overcome challenges related to temporality and multiplicity, which often hinder learning and innovation. This paper integrates perspectives from Information Systems and Project Management to explore how artificial intelligence (AI)—specifically Predictive AI and Generative AI—can enhance collective memory within project settings. Our findings demonstrate AI's transformative potential by 1) ensuring consistent data collection and storage through centralized systems, 2) enhancing and personalizing retrieval via predictive models, 3) generating innovative digital models and prototypes for shared project understanding, 4) supporting comprehensive scenario evaluations through mixed-data simulations, and 5) improving collaboration and communication across distributed teams. These insights underscore AI's dual role in optimizing processes and driving innovation, highlighting its strategic importance in the future of project management.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Particle Detector Development and Performance
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