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筑好巢搭好桥:产学研合作知识耦合、信任与组织双元学习关系研究
引用本文:王萧萧,朱桂龙,王中和.筑好巢搭好桥:产学研合作知识耦合、信任与组织双元学习关系研究[J].科技进步与对策,2022,39(16):58-66.
作者姓名:王萧萧  朱桂龙  王中和
作者单位:(1.齐鲁工业大学(山东省科学院) 管理学院,山东 济南 250353;2.华南理工大学 工商管理学院,广东 广州 510641;3.伦敦大学学院,英国 伦敦 WCIE 6BT)
基金项目:国家自然科学基金项目(U1901222);国家社会科学基金一般项目(20BJY111);国家自然科学基金青年项目(71904074);山东省自然科学基金青年项目(ZR2021QG049)
摘    要:组织双元学习是企业获取持续竞争优势的根本途径,企业与学研机构能力不匹配而产生的结构化困境是困扰企业组织学习的核心议题。基于产学研合作知识耦合视角,探讨产学研合作知识耦合对组织双元学习的作用机制以及信任对产学研合作知识耦合与组织双元学习关系的中介作用。基于226份产学研合作配对数据构建理论模型,利用层次回归法进行实证检验。结果发现,产学研合作知识耦合对探索式学习和利用式学习具有显著正向影响;产学研合作知识耦合对认知信任有显著促进作用,但对情感信任的促进作用不显著;同时,信任类型与组织双元学习方式匹配相对应,情感信任对探索式学习具有显著影响,认知信任对利用式学习具有显著影响;仅认知信任在产学研合作知识耦合与组织学习关系中发挥部分中介作用。

关 键 词:知识耦合  认知信任  情感信任  探索式学习  利用式学习  
收稿时间:2021-07-15

Build the Nest and Bridge: The Relationship among Knowledge Coupling,Trust and Organizational Learning in University-Industry Collaboration
Wang Xiaoxiao,Zhu Guilong,Wang Zhonghe.Build the Nest and Bridge: The Relationship among Knowledge Coupling,Trust and Organizational Learning in University-Industry Collaboration[J].Science & Technology Progress and Policy,2022,39(16):58-66.
Authors:Wang Xiaoxiao  Zhu Guilong  Wang Zhonghe
Institution:(1.School of Management, Qilu University of Technology(Shandong Academy of Sciences), Jinan 250353, China;2. School of Business Administration, South China University of Technology, Guangzhou 510641, China;3.University College London,London WCIE 6BT, United Kingdom)
Abstract:In the complex, dynamic and uncertain competitive environment, enterprises need to pursue short-term interests to obtain the maximum return of existing products and services. They also need to focus on the long term and constantly explore new technologies and new markets to gain a first-mover advantage. Scholars generally agree that enterprises must have core innovation advantages by implementing explorative learning and exploitative learning. With the deepening of research, some scholars have observed that university-industry collaboration has become an important way of organizational learning. However, most collaborations have not effectively improved the independent innovation capability of enterprises. The reason is that the improvement of enterprises' innovation capability through university-industry collaboration largely depends on the matching of the structure of technological capability between enterprises and academic-research institution and the effective internalization of external resources and knowledge through organizational learning. In addition, the essence of the innovation system of university-industry collaboration is an inter-organizational network of knowledge flow. Knowledge can only trigger organizational learning in the process of sharing. Many scholars have widely recognized that trust is a key factor in promoting knowledge sharing among innovation subjects. Knowledge sharing also includes proactive knowledge output. However, the reasons for trust and what to trust have not been studied and addressed.#br#Based on the above considerations, this study focuses on how enterprises should promote organizational dual learning largely according to their own technical capabilities. It takes the knowledge coupling as the point of penetration, and constructs a unified theoretical model of knowledge coupling on organizational dual learning, and the mediating effect of trust on the relationship between knowledge coupling and organizational dual learning. Based on 226 matching data of university-industry collaboration, the study makes a hierarchical regression analysis to test the hypotheses. The results indicate that the knowledge coupling has significant positive effect on explorative learning and exploitative learning; knowledge coupling has a significant promotion effect on cognition-based trust, rather than affect-based trust. Meanwhile, there is a matching correspondence between trust dimension and organizational learning. Affect-based trust has a more significant impact on explorative learning and cognition-based trust has a more significant impact on exploitative learning. Only cognitive trust plays a partial mediating role among the knowledge coupling, the explorative learning and exploitative learning.#br#This research provides a possible path for constructing a long-term university-industry collaboration and improving organizational learning performance. University-industry collaboration innovation is a complex systematic project. The process of collaboration innovation involves the matching of the structure of technological capability and willingness for collaboration, and the digestion and absorption of knowledge. Firstly, enterprises must realize the important role of innovative resources such as R&D investment, talents, equipment, R&D organization, and truly form a systematic synergy to provide strong support for the improvement of enterprises' independent innovation capabilities. In addition, research-oriented universities should also make efforts to determine the focus of collaboration based on their own ability and structure level, give full play to their own advantages in basic research and applied research, avoid "nanny-style" cooperation, and actively guide the cooperation forces to focus on national science and technology development strategy and frontiers of knowledge. Secondly, organizational learning is inseparable from the trust relationship between university-industry collaboration organizations. As an invisible management method, trust plays the role of bond and adhesive. The key to effectively improving organizational learning through university-industry collaboration is to enhance inter-organizational trust. #br#Future research should further validate the universality of the theoretical model by expanding the sample selection area, and be committed to collecting data in stages to analyze the mechanism and influence path of trust in the process of university-industry collaboration at a deeper level. Moreover it needs further exploration on how to build a long-term cooperation mechanism of university-industry collaboration and improve organizational learning performance.#br#
Keywords:Knowledge Coupling  Cognition-based Trust  Affect-based Trust  Explorative Learning  Exploitative Learning  
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