AI Adoption, Digital Capability, and Innovation Capability: The Mediating Role of Strategic Decision-Making Quality

This study proposes that AI Adoption and Digital Capability significantly influence Innovation Capability, both directly and indirectly through the mediating role of Strategic Decision-Making Quality. The data collected from 342 respondents, consisting of business owners and office workers, were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The findings indicate that AI Adoption and Digital Capability have positive and significant effects on Strategic Decision-Making Quality, which in turn has a strong positive impact on Innovation Capability. Notably, Strategic Decision-Making Quality demonstrates the strongest influence on Innovation Capability (β = 0.718, p < 0.001), highlighting its critical role as a mediator. Furthermore, both AI Adoption and Digital Capability also show significant direct effects on Innovation Capability, although their indirect effects through Strategic Decision-Making Quality further strengthen this relationship. These results suggest that while technological adoption and digital skills are essential enablers, their effectiveness in driving innovation largely depends on how well individuals utilize them in making strategic decisions. The data were gathered through an online questionnaire distributed via Google Forms using a Likert scale (1–5), ensuring measurable and structured responses. Overall, the findings imply that organizations should not only invest in AI technologies and digital capabilities but also enhance the quality of strategic decision-making processes to fully leverage innovation potential.

本研究提出，人工智能（AI）采纳与数字能力可通过战略决策质量（Strategic Decision-Making Quality）的中介作用，对创新能力产生显著的直接与间接影响。本研究共收集来自342名受访者的数据，受访者涵盖企业主与办公室职员，采用偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modeling，PLS-SEM）方法对数据进行分析。研究结果显示，人工智能采纳与数字能力对战略决策质量均存在显著正向影响，而战略决策质量又对创新能力具有显著的强正向作用。值得注意的是，战略决策质量对创新能力的影响强度最高（标准化回归系数β=0.718，p<0.001），凸显了其作为中介变量的关键作用。此外，人工智能采纳与数字能力对创新能力亦存在显著的直接影响，而通过战略决策质量实现的间接效应进一步强化了二者与创新能力之间的关联。上述研究结果表明，尽管技术采纳与数字能力是创新的核心赋能因素，但其驱动创新的效果在很大程度上取决于个体在战略决策中对这些资源的运用水平。本研究通过谷歌表单（Google Forms）发放线上问卷收集数据，问卷采用1至5级李克特量表（Likert scale），保障了作答结果的可量化性与结构化特征。总体而言，本研究结果表明，企业不仅应投入资源布局人工智能技术与数字能力建设，还需优化战略决策流程质量，以充分激发创新潜力。