基于社会网络理论与知识基础观，构建“企业社会资本—知识流耦合—知识共创—服务创新绩效”的链式中介模型，运用层次回归分析法对405份企业样本进行分析。研究发现：结构性、认知性、关系性社会资本均对服务创新绩效有显著正向影响，且影响程度依次减弱；知识流耦合、知识共创在企业社会资本与服务创新绩效之间起链式中介作用。研究可进一步夯实创新网络、社会资本理论基础，揭示企业社会资本通过知识作用路径影响服务创新绩效的内在机制，为服务企业提高创新绩效提供参考。

Nowadays, the service industry is playing an increasingly important role in the national economy. Companies that provide additional services tend to perform well in capturing customer value and earning excess profits, and service innovation is becoming an inherent requirement for the sustainable development of businesses. More and more service companies are embedded in the innovation network to seek service development and competitive advantages in practice, and the service innovation networks have become important carriers for companies to obtain heterogeneous knowledge and resources to carry out innovation activities. The intricate service relationship network provides an environment for companies to develop a high level of social capital and promotes the coupling and reconfiguration of heterogeneous knowledge among network nodes. Although scholars have conducted numerous studies on whether and how social capital affects innovation performance, no consensus has been reached;furthermore, there is still a lack of discussion on how corporate social capital facilitates the flow of knowledge among network nodes and generates the qualitative change process of innovation. The boundaries of knowledge in the service innovation network are blurred, and the intangibility of services makes it easier for the network members to exchange tacit knowledge, resulting in the coupling and convergence of knowledge advantages to achieve co-creation. Yet few scholars have paid attention to the particular mechanism of the role of corporate social capital on innovation performance in the context of service innovation networks.#br#Corporate social capital is a combination of scarce resources and capabilities acquired by firms embedded in their relationship networks, and it has become the key for firms to win innovation advantages. This paper classifies corporate social capital into three dimensions: structural social capital, relational social capital, and cognitive social capital. It aims to address the following questions: (1) How does corporate social capital embedded in service innovation networks affect innovation performance? (2) What is the specific internal mechanism? Following the social network theory and a knowledge-based view, the study constructs a serial mediation model of corporate social capital—knowledge flow coupling—knowledge co-creation—service innovation performance.#br#To test the hypotheses, this study selects the service companies participating in the service innovation network nationwide as the research objects and distributes 460 measurement questionnaires. The respondents are mainly middle- and senior-level managers who have in-depth knowledge of corporate strategy and performance. Finally, 405 valid samples are collected. Further, the study applies hierarchical regression analysis and the Bootstrap method to verify the hypotheses.#br#The results show that corporate social capital has a significant positive effect on service innovation performance, among which structural social capital has the strongest positive effect on service innovation performance, followed by cognitive social capital, and finally relational social capital. Knowledge flow coupling plays a mediating role between corporate social capital and service innovation performance;knowledge co-creation also has a mediating effect between corporate social capital and service innovation performance. The two play a serial mediation role in the relationship between corporate social capital and service innovation performance.#br#Different from previous studies with a focus on the product innovation network, this study centers around the service innovation network to reveal the internal mechanism through which corporate social capital influences service innovation performance, thus elucidating the continuous qualitative change process of knowledge innovation from nothing to something. Hence, this study makes some meaningful contributions. First, the research findings can strengthen the theoretical foundation of innovation networks, social capital, and service innovation. Second, it responds to the call of scholars for the study of the sub-dimensions of corporate social capital, empirically validates the crucial role of knowledge flow coupling in knowledge co-creation, and expands the study on the antecedents of service innovation performance. Last, this study provides a reference for practitioners in service companies to effectively configure social capital and give full play to knowledge efficiency to improve service innovation performance so that they can gain competitive advantages in the dynamically changing market.#br#