Structural equation model fitting results.

Digital transformation is a crucial strategy for enterprises to navigate the digital economy, leading to a growing number of organizations actively engaging in this process. However, the high failure rates in digital transformation initiatives have pushed both academia and industry to identify effective approaches. Key challenges include a lack of relevant knowledge and capabilities as well as the need for coordinated resource utilization. Knowledge is vital for developing new business models, selecting appropriate digital technologies, and strategizing their use; knowledge transfer is a central component of this transformation. To address these challenges, this study reviews the literature on knowledge transfer, dynamic capabilities, and digital transformation and proposes a theoretical model that connects these elements. Empirical research through questionnaire surveys and structural equation modeling reveals that knowledge transfer significantly enhances digital transformation and positively impacts enterprises’ ability to perceive, capture, and reconstruct knowledge. These abilities also serve as partial mediators between knowledge transfers and digital transformations. This study innovatively integrates knowledge transfer and digital transformation into a unified model, thereby contributing to the theoretical exploration of digital transformation pathways. Moreover, it enhances the understanding of dynamic capabilities in this context, providing valuable insights and practical implications for Chinese enterprises aiming to improve their digital transformation efforts through effective knowledge transfer and cultivation of dynamic capabilities.

数字化转型（Digital Transformation）是企业应对数字经济的核心战略，这使得越来越多的组织积极投身于该转型进程。然而，数字化转型项目的高失败率促使学术界与产业界共同探寻行之有效的实施路径。当前面临的核心挑战包括相关知识与能力的匮乏，以及协同资源配置的迫切需求。知识对于全新商业模式的构建、适配性数字技术的选型以及技术应用战略的制定均至关重要，而知识转移（Knowledge Transfer）则是该转型进程的核心组成部分。
为应对上述挑战，本研究梳理了知识转移、动态能力（Dynamic Capabilities）与数字化转型相关的文献，并提出了串联这三大要素的理论模型。通过问卷调查与结构方程模型（Structural Equation Modeling, SEM）开展的实证研究表明，知识转移可显著推动数字化转型，并对企业的知识感知、获取与重构能力产生积极影响；上述能力同时在知识转移与数字化转型之间发挥部分中介作用。
本研究创新性地将知识转移与数字化转型整合为统一的理论分析框架，为数字化转型路径的理论探索作出了有益拓展。此外，本研究深化了该语境下动态能力的相关认知，可为旨在通过高效知识转移与动态能力培育以提升数字化转型成效的中国企业提供极具价值的理论参考与实践启示。