Supplementary Material for "Advancing AI Adoption in SMEs: A Framework for Nascent AI Strategy Development"

Supplementary Material for the article:

Markic, Mihael; Webster, Samantha; van der Staay, Alexander; Bäßmann, Felix N.; Janiesch, Christian; and Pöppelbuß, Jens, "Advancing AI Adoption in SMEs: A Framework for Nascent AI Strategy Development" (2025). ICIS 2025 Proceedings.

Abstract: "AI adoption serves as a catalyst that empowers SMEs to overcome resource, expertise, and market competition constraints, unlocking new business operations opportunities. However, developing a tailored AI strategy is essential to capture unique business advantages offered by AI-driven business processes and to advance AI initiatives in the dynamic landscape of SMEs. While much research addresses the technical aspects, development, and adoption, little is known about strategic measures and the practical evaluation of AI adoption in SMEs. In this design science research study, we crafted an artifact consisting of a methodology for capturing AI readiness and deriving activities and, thus, develop a strategic framework for developing nascent AI strategies in SMEs. Our results highlight the importance of structured AI training, centralized data management, and cross-functional collaboration to advance AI adoption in SMEs. Our study contributes to theory and practice by providing guidance for AI strategy development."

论文补充材料：
作者：米哈埃尔·马尔基奇（Mihael Markic）、萨曼莎·韦伯斯特（Samantha Webster）、亚历山大·范德斯塔伊（Alexander van der Staay）、费利克斯·N. 巴斯曼（Felix N. Bäßmann）、克里斯蒂安·亚尼施（Christian Janiesch）、延斯·珀普尔布斯（Jens Pöppelbuß）；论文标题：《推进中小企业（Small and Medium-sized Enterprises, SMEs）的人工智能采纳：新兴人工智能战略制定框架》"Advancing AI Adoption in SMEs: A Framework for Nascent AI Strategy Development"（2025），收录于《ICIS 2025会议论文集》。

摘要：人工智能采纳是赋能中小企业突破资源储备、专业能力短板与市场竞争约束，解锁全新业务运营机遇的核心催化剂。但要获取人工智能驱动业务流程所带来的独特商业优势，并在中小企业的动态发展环境中推进人工智能落地举措，制定定制化的人工智能战略是必不可少的。尽管现有大量研究围绕人工智能采纳的技术维度、开发流程与落地实践展开，但针对中小企业人工智能采纳的战略举措与实效评估的相关研究仍相对不足。本研究属于设计科学研究范畴，我们构建了一套涵盖人工智能就绪度评估方法与落地活动推导流程的研究制品，并据此形成了一套面向中小企业的新兴人工智能战略制定框架。研究结果显示，系统化人工智能培训、集中化数据管理与跨职能协作，是推进中小企业人工智能采纳的关键要素。本研究为人工智能战略制定提供了切实可行的指引，由此在理论与实践层面均作出了有益贡献。