The contemporary sustainable development imperative sees enterprises seeking competitive advantages in innovation networks, the distinguishing features of which are continuous interaction and knowledge flow between participants. As an informal governance mechanism, cooperative culture influences the stability and durability of the members’ interactions. Knowledge flow is a core network activity that is highly dependent on the cultural environment. The purpose of this paper is to explore whether innovation governance performance is affected by cooperative culture and knowledge flow. How do they play an influential role? We use structural equation modeling (SEM) to analyze the linear relationships among the three variables: cooperative culture, knowledge flow, and governance performance. The results suggest that knowledge flow has a mediating effect on the relationship between cooperative culture and governance performance. We also use fuzzy set qualitative comparative analysis (fsQCA) to explore how cooperative culture and knowledge flow combined can influence governance performance. The results indicate that different combinations of cooperative culture and knowledge flow lead to different levels of governance performance, with two paths leading to high governance performance, which are fit creation-oriented and compatible sharing-oriented paths. These findings have significant implications for improving innovation governance performance and their sustainable development.
Efficiently development of enterprise innovation networks is inseparable from integrated innovation processes such as knowledge sharing and transfer. Knowledge flow is a core network activity that is highly dependent on the cultural and structural environment. As an informal governance mechanism, cooperative culture affects the stability and durability of relationship between members. Perfectly cooperative cultural mechanism is the key to promoting knowledge flow in innovation networks. The purpose of this paper is to explore whether and how cooperative culture and network power affect knowledge flow in innovation networks. This paper finds that cooperative culture, network power has a positive effect on knowledge flow, which was obtained by using SEM method based on 227 questionnaire survey samples of enterprises. Furthermore, this paper also uses fuzzy quantitative comparative analysis (fsQCA) to study how cooperative culture and network power work together on knowledge flow. This study finds out three paths that lead to high knowledge flow, which are composed of the elements of cooperative culture and network power. The three paths are knowledge reciprocity-oriented, cooperative culture-oriented and cultural knowledge fitoriented respectively. These findings are of great significance for promoting the management of innovation networks.
The safety of health-care waste(HCW) treatment is an important part of maintaining the health of the group, and it is very crucial to choose an appropriate method of HCW management. Based on the understanding of the HCW disposal methods and the consideration of the interdependence of indicators, the objective of this paper is to give a reasonable evaluation of the HCW treatment alternatives by using Analytic Network Process (ANP). Finally, steam sterilization is the best method of HCW management at this stage, so as to further maintain the health of the community and improve living standards of the people.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.