Strategic Narratives: Leveraging Generative AI for Project Knowledge Capture

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Argitaratua izan da:ISPIM Innovation Symposium (Jun 2025), p. 1-18
Egile nagusia: Machado, Marcelo
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The International Society for Professional Innovation Management (ISPIM)
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100 1 |a Machado, Marcelo  |u Kwantlen Polytechnic University - Melville School of Business - Canada 
245 1 |a Strategic Narratives: Leveraging Generative AI for Project Knowledge Capture 
260 |b The International Society for Professional Innovation Management (ISPIM)  |c Jun 2025 
513 |a Journal Article 
520 3 |a Projects are essential for organizations, driving change and progress. Project reviews are crucial to avoid redundancy, prevent repeated mistakes, optimize resources, and foster innovation. Although various review methods exist (e.g., lessons learned), not all knowledge can be fully documented. Capturing knowledge is crucial for innovation, especially in product development. Hence capturing knowledge within the context of innovative product development even more critical. This paper proposes using Campbells Hero Journey framework to harness generative AI for capturing project knowledge more effectively. This research includes an updated literature review on project reviews, knowledge sharing and creation, storytelling in project management, and the use of generative AI for storytelling. To validate the findings, four sample projects and project teams were investigated. Theoretical and practical implications, limitations, and future research opportunities are also discussed. 
653 |a Memory 
653 |a Tacit knowledge 
653 |a Narratives 
653 |a Generative artificial intelligence 
653 |a Questionnaires 
653 |a Knowledge management 
653 |a Explicit knowledge 
653 |a Storytelling 
653 |a Interviews 
653 |a Innovations 
653 |a Redundancy 
653 |a Case studies 
653 |a Literature reviews 
653 |a Corporate culture 
653 |a Product development 
653 |a Teams 
653 |a Startups 
653 |a Knowledge sharing 
653 |a Project management 
653 |a Qualitative research 
653 |a Learning 
773 0 |t ISPIM Innovation Symposium  |g (Jun 2025), p. 1-18 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3238450865/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3238450865/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3238450865/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch