SCAMPER-Enabled Generative AI as a Catalyst for Product Innovation in Small and Medium Enterprises (SMEs)

Abstract

In the rapidly evolving digital economy, Small and Medium Enterprises (SMEs) face growing pressure to innovate while contending with limited financial and technical resources. This study explores the strategic integration of the SCAMPER creative thinking method with Generative Artificial Intelligence (GenAI) tools—such as ChatGPT, DALL·E, and Midjourney—as a novel approach to accelerate product innovation in resource-constrained SMEs. Using a mixed-methods approach, including a quantitative survey of over 100 Indonesian SME owners and a comprehensive literature review, the study identifies both the opportunities and the barriers surrounding this integration. Results indicate that while awareness of SCAMPER remains limited, interest in using GenAI for product development is exceptionally high, with 95% of respondents expressing willingness to adopt the method if guided by AI-powered prompts and templates. SWOT analysis reveals that GenAI-enabled SCAMPER is a low-cost, high-impact, and human-centered strategy that aligns well with the creative agility and adaptive culture of SMEs. The paper concludes with policy and design recommendations, including the development of microlearning modules, visual AI prompt repositories, and cross-sectoral partnerships to enhance adoption. This study contributes to bridging the gap in innovation frameworks accessible to SMEs in emerging markets and offers a replicable model for inclusive digital transformation.