Evolution of network relations, enterprise learning, and cluster innovation networks: the case of the Yuyao plastics industry cluster

Study on the influence diffusion of SMEs in open-source communities from the perspective of complex networks

In the era of digital economy, enterprise research and development (R&D) tends to be open-source. Due to their limited resources, small and medium-sized enterprises (SMEs) can join open-source platforms to get additional creative resources and technical support. In this context, from the perspective of complex networks, the influence diffusion of SMEs after embedding open-source innovation networks is studied in this paper. First, an integrated simulation model including a network model, agent model and innovative diffusion model is constructed. Second, the influence diffusion strategy is proposed considering initial impact, embedding timing and connection mode (same-match and heterogeneous) of the enterprise. Third, the dynamic simulation of the influence diffusion process of SMEs demonstrates that embedding timing has a significant impact. There is no significant difference in the influence diffusion at the early and mature stages in the evolution process of open-source innovation networks. The initial impact of enterprises has a significant influence on the diffusion during the developing period, but the effect on its influence diffusion at the initial and mature stages is not obvious. Finally, in light of experiment results, it is clear that the open-source platform plays an important role on the growth of SMEs as evidenced by the close correlation between the spread of SMEs' influence within the open-source innovation network and the community's stage of development.

Research on the Impact of Green Innovation Network Embeddedness on Corporate Environmental Responsibility

In the process of China's economic transformation, enterprises urgently need to use green innovation networks to realize corporate sustainability. Based on resource-based theory, this study explores the internal mechanism and boundary conditions of green innovation network embeddedness that affect corporate environmental responsibility. This paper conducts an empirical study based on panel data of listed companies engaged in green innovation in China from 2010 to 2020. Drawing on network embeddedness theory and resource-based theory, we found that relational and structural embeddedness influenced green reputation, which affected corporate environmental responsibility. We also identified the importance of ethical leadership and examined its role in moderating the effect of green innovation network embeddedness. A further investigation revealed that the impact of network embeddedness on corporate environmental responsibility was particularly pronounced in the samples of enterprises with high-level political ties, loose financing restrictions, and nonstate ownership. Our findings highlight the advantages of embedded green innovation networks and offer theoretical references and recommendations for enterprises considering network participation. Enterprises should attach great importance to the network embedding strategy of green innovation for corporate environmental responsibility and actively integrate the concept of green development into network relationship embedding and network structure embedding. Moreover, the relevant government department should provide necessary environment incentive policies according to the enterprise's development needs, especially for the enterprises with low-level political ties, high financing restrictions, and state ownership.

Dialects, motivation, and English proficiency: Empirical evidence from China

Within the context of China, this study seeks to examine the relationship between English language proficiency, the native dialect of the learner, and the learner’s reason, or motivation for learning English. English language proficiency can be an important vehicle for accessing high quality higher education, for interacting with non-Chinese, and for enhancing employment and career opportunities Data was gathered through an online survey with 985 usable responses recorded. Respondents included a distribution of speakers from five of the major distinct dialects of China. The analysis provides empirical evidence of a diversity of propensities and motivations for English language acquisition among learners from different regions and native dialects. Access to international higher education as a type of motivation is found to have a moderating effect on English proficiency. Other findings suggest that learners in regions with more historic exposure to foreign interaction are more likely to be motivated for social reasons, those from regions with export focused commerce will be motivated for business related reasons. The results of this study may be of interest to policy makers, linguists, educators, and those with an interest in socioeconomic sustainability through language acquisition and education as a method of socioeconomic mobility.

Research on the Governance Mechanism of Independent Innovation Network in the Core Area of Silk Road Economic Belt

The increasing competition in global scientific and technological innovation and the continuous promotion of the “Belt and Road initiatives” have created new opportunities for the improvement in innovation capabilities in the core area of the Silk Road Economic Belt but have also brought new challenges. This paper first starts from the market and government perspective and sorts out the formation mechanism of an innovation network. Subsequently, based on the development practice of the innovation network in the core area of the Silk Road Economic Belt, we applied the grounded theory to reveal the development constraints of the innovation network in the core area and explore the corresponding network governance mechanism. Subsequently, we applied a survey study to test our conceptual model. We empirically found the innovation network structure governance and innovation relation governance impacting mechanism in a market-led and government guidance context. The study found that: first, the market-led environment and government guidance jointly impact the formation of an innovation network. Second, the network structure governance and network relation governance of the innovation network can address the development constraints faced by the current innovation network to a certain extent, thereby improving the firm’s innovation performance. Finally, it is found that both the market-led environment and government guidance play a positive role in regulating the impact of network structure governance and network relation governance on the firm’s innovation performance. The above conclusions expand the application scenarios of innovation network governance theory in underdeveloped areas and, at the same time, provide new theoretical knowledge increments for the formation mechanism of innovation networks and also provide corresponding theoretical guidance for the improvement of the firm’s innovation performance in the core area.

The Convergence Management of Strategic Emerging Industries: Sustainable Design Analysis for Facilitating the Improvement of Innovation Networks

The overall high-end of strategic emerging industries can be effectively promoted by strengthening the inter-industry innovation linkage effect. This paper constructs a strategic emerging industry innovation network based on industry correlation. This paper studies the development trend of the whole network structure and individual network characteristics and analyzes the influence of network structure characteristics on the attribute performance of each industry. The research results are as follows: (i) The innovation network as a whole was in a slight decline trend of low density during the sample investigation period, and the correlation level had great room for improvement. (ii) The high-end equipment manufacturing industry, the new materials industry, and the new-generation information technology industry occupy the center of the network, but their spillover effect on other industries is poor, and some industries even get more innovation benefits. (iii) The innovation network of China’s strategic emerging industries has the characteristics of cross-industry clustering, and the linkage effect between plates is insufficient, showing the characteristics of the “reflexivity” aggregation subgroup. (iv) The unreasonable connection mode of strategic emerging industries’ innovation network leads to the improvement of the centrality degree, which is not conducive to the innovation output of the industry. However, innovation output can be positively affected, to a certain extent, by improving the betweenness and closeness of the industries in the network.