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| The Dual-factor Effect of the Collaborative Innovation Capability of Clustered Enterprises in IoT |
| He zhongbing,Shi Jie,bu Yuxin |
| (School of Economics And Management, Harbin Institute of Technology (Weihai), Weihai 264209, China) |
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Abstract 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#
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Received: 31 May 2021
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| [1] 喻登科,涂国平,陈华.战略性新兴产业集群协同发展的路径与模式研究[J].科学学与科学技术管理,2012,33(4):114-120.[2] 黄中伟.产业集群的网络创新机制和绩效[J].经济地理,2007,27(1):47-51.[3] 张敬文,李一卿,陈建.战略性新兴产业集群创新网络协同创新绩效实证研究[J].宏观经济研究,2018,40(9):109-122.[4] 孙永波,刘竞言.企业间交互因素、知识共享对企业创新绩效的影响研究[J].商业经济研究,2020,39(11):137-139.[5] 苏美文.物联网发展现状及其中国发展模式的战略选择[J].技术经济与管理研究,2015,36(2):121-124.[6] 袁国智,董毅明.我国物联网产业现状及其发展对策分析[J].商业时代,2011,30(4):28-29.[7] 化柏林,李广建.大数据环境下多源信息融合的理论与应用探讨[J].图书情报工作,2015,59(16):5-10.[8] 齐晓云.信息技术融合及其对组织绩效影响的实证研究[D].长春:吉林大学,2011.[9] POLANYI M.Personal knowledge: the tacit dimension[M].New York: Doubleday & Company Inc,1996.[10] GRANOVETTER M.Economic action and social structure:the problem of embeddedness[J].American Journal of Sociology,1985,91(3):481-510.[11] 范苏军.网络嵌入性理论产业集群研究文献综述[J].中外企业家,2020，37(2):230.[12] ANSOFF H.Corporate strategy: an analytic approach to business policy for growth and expansion[J].Amercian Economic Review，1965（8）.[13] 熊励,孙友霞,蒋定福,等.协同创新研究综述:基于实现途径视角[J].科技管理研究,2011,31(14):15-18.[14] 张慧,周丹.集群企业网络嵌入对协同创新影响的实证研究[J].华东经济管理,2013,27(12):59-64.[15] 陈蓉,梁昌勇,叶春森.产业集群视角下中小企业协同创新系统实证研究[J].科技进步与对策,2016,33(7):74-81.[16] 林倩.网络嵌入性、动态能力与供应链协同创新绩效的关系研究[D].广州:华南理工大学,2019.[17] 林少疆,徐彬,陈佳莹.企业创新网络结构嵌入性对协同创新能力影响的实证研究:共生行为的中介作用[J].软科学,2016,30(6):16-19,25.[18] 曾婧婧,刘定杰.生物医药产业集群网络嵌入性、网络结构与企业创新绩效[J].中国科技论坛,2017,33(5):49-56.[19] 王念新,仲伟俊,梅姝娥.信息技术、核心能力和企业绩效的实证研究[J].管理科学,2010,23(1):52-64.[20] 胡蓓,王聪颖.基于信息融合的发展中国家高技术产业集群知识融合与创新模型研究[J].图书情报工作,2009,53(2):38-41,73.[21] 闫坤本.智能制造对我国装备制造企业知识创新的影响研究[D].哈尔滨:哈尔滨工程大学,2018.[22] 周中胜,罗正英,段姝.网络嵌入、信息共享与中小企业信贷融资[J].中国软科学,2015,30(5):119-128.[23] 易欢.创新网络嵌入、数据赋能与制造企业创新绩效关系研究 :组织间信任的调节作用[D].广州:华南理工大学,2020.[24] WASILUK A. Po-innovative prerequisites for establishing the cooperation between companies[J].Procedia Engineering, 2017, 182: 755-762.[25] CHEN L Y,ZHOU Y,ZHOU D,et al.Clustering enterprises into eco-industrial parks:can interfirm alliances help small and medium-sized enterprises[J].Journal of Cleaner Production,2017,168:1070-1079.[26] AL-TABBAA O,ANKRAH S.'engineered' university-industry collaboration:a social capital perspective[J].European Management Review,2019,16(3):543-565.[27] 俞园园.组织合法性视角下产业集群嵌入对新创企业创业绩效的影响研究 :以无锡市产业集群为例[D].镇江:江苏大学,2015. |
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