Correlation Analysis Model of Social Capital and Innovation Performance Based on Knowledge Mapping

Abstract

In this paper, the correlation between social capital and innovation performance is analyzed using a knowledge graph approach, and a correlation analysis model is designed for practical use. Given the advantages of knowledge graph technology and the fact that most recommendation models fail to make full use of the correlation between knowledge graph and recommended items, this paper proposes a cross-attention fusion-based knowledge graph recommendation algorithm (CAKR). The CAKR model contains a cross-fusion module, a recommendation task module, and a knowledge graph embedding task module, and the inputs of the two task modules are alternately learned in a low-dimensional space by the cross-fusion module. The input of the two task modules is alternately learned in the low-dimensional space by the cross-fusion module to interact with the two embedding vectors of items and entities, and then, the obtained feature vectors are fed into the relevant task modules, respectively, and then, the results are calculated by the respective prediction functions. There is a mediating role of knowledge management capabilities in the innovation ecology perspective between social capital and innovation performance of SMEs. Among them, it fully mediates the relationship dimension of technical social capital, the cognitive dimension of institutional social capital, the relationship and cognitive dimension of market-based social capital, and innovation performance, and partially mediates the structural and cognitive dimension of technical social capital, the structural and relationship dimension of institutional social capital, and innovation performance. The relationship between knowledge management capability and innovation performance is positively mediated by environmental dynamics in the innovation ecology perspective, and the positive effect of knowledge management capability on innovation performance is more significant when the environmental dynamics are stronger, and vice versa. Finally, based on the results of the empirical study, some management suggestions are provided on how SMEs can reasonably utilize social capital to enhance their innovation performance.

Does structural social capital lead to proactive green innovation? a three-part serial mediation model

“…These interactions can be analyzed based on factors such as proximity, frequency, the quantity of connections, and the quality of those connections. A higher level of SSC makes it easier for businesses to access green knowledge and intellectual support [20,30]. Moreover, SSC enhances firms' PGI efforts by reinforcing green management practices, green strategic objectives, and green research and development (R&D), as evidenced in prior research.…”

“…From an innovator's perspective, Zhang, Tai [52] suggest that green innovation within enterprises can be influenced by interactions with a wide array of primary and secondary stakeholders. The engagement between enterprises and external network participants fosters an environment conducive to green innovation [38], thereby enhancing overall green innovation efforts within the enterprise [19,20]. For the purpose of this study, we adopted the framework proposed by Nahapiet and Ghoshal [62], which categorizes external social capital into three components: SSC, CSC, and RSC [26].…”

“…It provides a comprehensive depiction of interactions among actors, emphasizing the non-personalized aspects of social relationship networks. This dimension focuses on the presence of networks, the overall network structure, as well as the strength and quality of network connections [20,84]. Appiah and Obey [30] assert that when enterprises possess strong SSC, it enables them to outsource non-core activities, thereby streamlining their operations and allowing them to concentrate more on their core functions; ultimately, this enables firms to enhance their competitive advantages.…”

“…Notably, the mechanism by which social capital affects enterprise PGI is indirect, relying on the cascading effects of different types of PLOS ONE social capital. SSC, rooted in inter-organizational interactions, directly impacts CSC by stimulating the activities of various actors [20]. It serves as a prerequisite for CSC, which encompasses shared goals, visions, values, culture, and similar factors that facilitate communication and mutual encouragement among various actors, thus establishing the cognitive conditions for the development of inter-organizational trust, cooperation, and reciprocity relationships.…”

“…Recognizing its pivotal importance, researchers have endeavored to identify the relevant antecedents of corporate green innovation from various perspectives [17,18]. For instance, institutional theory underscores the importance of push factors stemming from formal institutions (e.g., regulations, government support) and informal institutions (e.g., social legitimacy), as evidenced in studies by Dong, Wu [19] and Ding [20]. Stakeholder theory, on the other hand, emphasizes the expectations of diverse stakeholders, including customers, non-governmental organizations, and communities [21].…”