PurposeThe purpose of this study is to investigate the relationships between two types of open innovation (OI) strategies (OI breadth and depth) and innovation performance of small- and medium-sized enterprises (SMEs) in China. The study examines how firms’ absorptive capacity and government institutional support affect these relationships.Design/methodology/approachSurvey data from 236 manufacturing SMEs in China were used to test the proposed model using hierarchical regression analysis.FindingsThe results show that both OI breadth and depth are positively related to innovation performance of SMEs. Moreover, this study finds that realized absorptive capacity serves as a mediator in the relationships between OI breadth and depth and innovation performance. The potential absorptive capacity and government institutional support moderate the relationship between OI breadth and innovation performance.Originality/valueThe effectiveness of OI strategies is significantly different among SMEs. One possible explanation is that SMEs adopt different types of OI strategies. Another is that a firm’s absorptive capacity and government institutional support may influence the effectiveness of OI. This study integrates these two possible reasons by investigating the effect of the interplay between different OI strategies, absorptive capacity and government institutional support on SMEs’ innovation performance. This study enriches the research on the relationships between OI strategies and innovation performance of SMEs in the Chinese context.
The local area control of virus spreading is studied in the light of the path length in complex networks, and the efficiency of local area control for complex networks with different topologies is analyzed. The research suggests that local area control method is effective in the WS small world networks, the BA scare-free networks, and the ER random networks; but the optimal radii d=3 of the local control area for zero infection applies only to the WS small world networks. In the Kleinberg small world networks, when the distance bias of long-range links increases, the epidemic threshold increases, and the effect of local area control strengthens.
What is the interplay of high-tech industrial agglomeration and urban innovation? How does high-tech industrial agglomeration affect urban innovation? What are the heterogeneous effects of high-tech industry agglomeration on urban innovation in different conditions? To answer these questions, this paper analyzes the interrelationship between high-tech industry agglomeration and urban innovation based on panel data of China’s Yangtze River Delta urban agglomeration from 2010 to 2019. We discuss the influence mechanism of high-tech industrial agglomeration on urban innovation by exploring the mediating effect of industrial structure optimization and the threshold effect of industrial attributes. The heterogeneous impact of high-tech industry agglomeration on urban innovation is also been further studied. We find that (1) the interaction relationship between high-tech industry agglomeration and urban innovation output is positive. (2) The advancement of industrial structure plays a positive intermediary role between high-tech industrial agglomeration and urban innovation output, while the rationalization of industrial structure shows a suppressing effect. (3) There are different threshold effects between capital intensity and technology intensity. The influence of high-tech agglomeration on urban innovation is positive only when the capital intensity exceeds 1.125. However, the influence is always positive in different levels of technology intensity, significantly. When the technology intensity is higher than 9.012E − 06, the degree and significance of this positive impact would decrease. (4) There are heterogeneous impacts of high-tech industry agglomeration on urban innovation output in the Yangtze River Delta urban agglomeration in different time stages, urban innovation development stages, and urban circles.
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