https://mail.insyma.org/proceedings/files/original/articles/Rita_Haidarah.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title SCAMPER-Enabled Generative AI as a Catalyst for Product Innovation in Small and Medium Enterprises (SMEs) Author #1 Rita Haidarah Author #2 Abdul Hamid Hasan Author #3 Dwi Wulandari Author #4 Dyah Puspita Hariyono Author #5 Frida Anisawati Abstract/Description 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. keywords a;b;c;d Generative AI; SCAMPER; SMEs; Product Innovation; Artificial Intelligence Adoption publication_date 2025/06/20 2025/06/15 pdf_url https://insyma.org/proceedings/files/articles/Rita_Haidarah.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/392 firstpage 500 lastpage 504 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (INSYMA) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 81 Volume 22 authors Rita Haidarah, Abdul Hamid Hasan, Dwi Wulandari, Dyah Puspita Hariyono, Frida Anisawati Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource SCAMPER-Enabled Generative AI as a Catalyst for Product Innovation in Small and Medium Enterprises (SMEs) Creator An entity primarily responsible for making the resource Rita Haidarah, Abdul Hamid Hasan, Dwi Wulandari, Dyah Puspita Hariyono, Frida Anisawati