.png){kind=icon}
.png){kind=icon}
Return
A prescriptive generative AI maturity model for new product development processes
.png){kind=icon}
OA
AI
A
A
DOI：10.1108/jmtm-09-2025-0884.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
<jats:sec>
<jats:title>Purpose</jats:title>
<jats:p>This study introduces CLIMB2-OLIMP, a dual-maturity model designed to facilitate the structured integration of Generative Artificial intelligence (AI) (GenAI) into New Product Development (NPD) processes. The model aims to provide a comprehensive tool for organizations to integrate GenAI into their NPD processes, ensuring a strong operational foundation.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design/methodology/approach</jats:title>
<jats:p>Developed using the Design Science Research approach, CLIMB2-OLIMP first evaluates an organization’s NPD maturity (CLIMB2) before assessing its readiness for GenAI implementation (OLIMP). The OLIMP component uniquely incorporates a prescriptive element, utilizing large language models (LLMs) to generate tailored improvement pathways with a clear cost-benefit perspective. A systematic literature review was conducted, and the model development involved iterative stages and expert validation.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Findings</jats:title>
<jats:p>Case studies in manufacturing organizations demonstrated the model’s effectiveness, revealing moderate NPD maturity but limited GenAI adoption. The research emphasizes structured AI integration, including workforce upskilling, strategic alignment, and ethical considerations.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Practical implications</jats:title>
<jats:p>CLIMB2-OLIMP provides diagnostic insights and actionable recommendations, serving as a comprehensive tool for organizations seeking to integrate GenAI into their NPD processes. It guides organizations in advancing their AI maturity with a clear cost-benefit perspective and supports a bold, entrepreneurial strategy for AI adoption.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Originality/value</jats:title>
<jats:p>CLIMB2-OLIMP is original in its dual-maturity approach, conditioning GenAI maturity assessment on NPD maturity, and its prescriptive component driven by LLMs, which addresses a significant gap in existing descriptive AI maturity models that lack actionable guidance and cost-benefit analysis.</jats:p>
</jats:sec>
Keywords:
Generative Artificial Intelligence
New Product Development
Maturity Model
Large Language Models
Prescriptive Analytics
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6
Papers:
710
Citations:
5.1K
Organization
Cited Papers