A firm's competitive advantage can come not only from internal resources but also from inter‐firm innovation networks. This paper shows that network capabilities (i.e., network visioning capability, network constructing capability, network operating capability and network centring capability) are special skills that enable values residing in network resources. Based on a sample of 211 Chinese hi‐tech firms and by applying structural equation modelling, network capabilities are found to have a positive relationship with innovation performance. Four antecedents of network capabilities – IT maturity, openness of culture, the management system involved and experience with network activities – are also identified in the research and empirically tested. The results of this study provide a new framework that describes how networked firms can gain a competitive advantage.
The main objective of this paper is to design and implement an accord localized, low price, fully functional, human resource management information system for people to use the habits and characteristics of the situation. Human resources management information system has become service providers, employee care and human resources consultant. Help enterprises to complete the functions of strategic human resource management.
With the goal of achieving carbon neutrality in the shipping industry, the issue of sustainable port development is becoming more and more valued by the port authorities. The shipping industry requires more effective carbon emission reduction analysis frameworks. This paper takes China’s Shanghai Port as the research object and analyzes it from the perspective of port-integrated logistics. Combined with the port data of Shanghai Port from 2008 to 2022, the principal component analysis gray correlation analysis model was used to screen the factors affecting the port’s carbon emissions, and three calculation models for Shanghai Port’s carbon emission sources were proposed. In addition, an expanded stochastic impact model based on the regression of population, affluence, and technology (STIRPAT) was constructed for the influencing factors of Shanghai Port’s carbon dioxide emissions and combined with the method of ridge regression to further identify important influencing factors. At the same time, a gray neural network model was established to predict the carbon emissions of Shanghai Port from 2021 to 2030 and compare them with their real value. The conclusion shows that there is a close relationship between Shanghai Port carbon emissions and container throughput, throughput energy consumption, number of berths, total foreign trade import and export, and net profit attributable to the parent company. Gray neural network model data calculations show that the growth rate of Shanghai Port’s carbon emissions will gradually slow down in the next ten years until the carbon peak is completed around 2033. The study can provide a reference for the sustainable development of other ports.
Throughput of port is an important quantitative indicator reflecting the port producing and managing results, while it's also an important quantitative indicator of the construction of international shipping center of Shanghai. Besides, throughput of port is a quantitative reference measuring the level of development and construction of a country, region or a city. There are many factors affecting the. From several throughput of port affecting factors, in this article, with the help of SSRS13.0, we used factor analysis based on empirical analysis of Shanghai to extract fatal factors and analyze the inherent mechanism of throughput of port, and aimed to make some suggestions for the establishment of international shipping center of Shanghai.
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