物联集群企业协同创新力双因素影响效应研究

物联网在集群企业中的应用与发展改变了传统集群网络结构和协同机制。在物联网中，集群企业嵌入网络并融合互联互通的物联信息，对其协同创新能力具有重要影响。在对相关研究进行整理的基础上，结合物联集群企业发展特点，提出物联集群网络嵌入力、物联集群信息融合力、物联集群协同创新力3个概念，运用结构方程模型对3个概念的结构性特征进行CFA检验，并就信息融合力与网络嵌入力对协同创新力的双因素效应进行检验，研究结论有利于进一步丰富企业协同创新理论。

The Dual-factor Effect of the Collaborative Innovation Capability of Clustered Enterprises in IoT

In the era of digital economy, enterprises with the power of collaborative innovation can deal with the high uncertainty from the outside environment and achieve continuous growth advantage along with the changes. The application of IoT technology has further optimized and expanded the scope of influence of the cluster network and changed the way of information communication among the activities organized by the cluster enterprises, and it also brings great changes of the cooperation style of IoT cluster enterprises. #br#Clustered network and information integration are the focus among the research about factors that affect the innovation power of cluster enterprise in the existing research literature. Clustered network is the result of strategic choice, execution and game playing among enterprises, and it provides an important medium for enterprise innovation and is generally considered to be a key factor both in the territory of strategy and organization. In the era of digital economy, especially of IoT technology, the relationship among clustered enterprises is increasingly strongly integrated, date comprised of information become new valuable economic resource，accordingly the power of integrating information can provide the media role for improve the power of collaborative innovation of clustered enterprises. Therefore, this study focuses on how network characteristics affect the collaborative innovation ability of clustered enterprises with the mediating roles of information integrating power in the digital economy.#br#So far, the existing research on clustered network or information integrating methodology through which improves the power of collaborative innovation is relatively independent. The relatively single research paradigm is not enough to explain the complex strategic and organizational behavior attributes of clustered enterprises in clustered network of IoT. This paper puts forward three new concepts: clustered embeddedness in clustering IoT, the power of integrating information in clustering IoT, the power of collaborative innovation in clustering IoT. Considering the interaction mechanism of the core factors of the information generation, transmission, integration and innovation of the clustering IoT, clustered embeddedness in clustering IoT and the power of integrating information in clustering IoT are not isolated factors. Both of them are the core factors to improve the capability of collaborative innovation in clustering IoT; each of them could act mediating role to each other, so as being called double-factor influence mechanism.#br#By combining the new concepts, a dual-factor effect model of clustered enterprises in IoT is built. Constructive equations are used to test the constructive validity of the new conceptions and features of the strategic path to enhance the embeddedness in clustering IoT and the power of integrating information in clustering IoT to improve the capability of collaborative innovation in clustering IoT. Based on the results of empirical research, some constructive opinions for practice are developed.#br#A total of 209 valid questionnaires are collected through online data collection and screening. The three new concepts have been tested by CFA, which shows that the concepts constructed in this paper have certain reliability and validity, and can provide a new theoretical analysis tool for the study of cluster collaborative innovation from the perspectives of network and information. The theoretical model is tested by the Amos Software. The dual-factor model is tested from relational embeddedness and structural embeddedness.#br#It is found that in order to enhance the capability of collaborative innovation, it is necessary to increase the social capital increment in clustering IoT, and improve the power of integrating information in clustering IoT. By comparing the path coefficients of the two-factor effect and the direct effect, it is verified that the power of integrating information in clustering IoT is more important than clustered embeddedness in clustering IoT. This discovery enriches the theory of collaborative innovation capability of enterprises in clustering IoT. Thus clustered enterprises can improve both relational embeddedness and structural embeddedness to enhance the capability of collaborative innovation. It is suggested to improve the information integrating power in clustering IoT by introducing big data and artificial intelligence technology, and then optimize the structure of cluster network in IoT to improve the collaborative innovation ability. In addition, enterprises should promote their innovative capability by promoting the information integrating power at all levels in clustering IoT, so as to seize the development opportunities in the digital economy.#br#