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论文编号：	15100
作者编号：	1120180927
上传时间：	2024/12/10 11:53:29
中文题目：	双重网络视角下二元知识搜索策略对企业创新绩效影响机制研究
英文题目：	The Research on the Influence of Binary Knowledge Search Strategy on Firms'''''''' Innovation Performance Based on Dual Network Perspective
指导老师：	林润辉
中文关键字：	知识搜索；创新绩效；合作网络；知识网络
英文关键字：	Knowledge Search, Innovation Performance, Collaboration Network, Knowledge Network
中文摘要：	在竞争激烈的商业环境中，创新是企业保持竞争力的关键。随着知识的快速更新和技术的迅猛发展，企业所处的环境变得更加复杂和快速变化。在这个充满知识和技术迅速更新的环境中，企业面临前所未有的挑战和机遇。在这种情况下，科技创新成为企业发展和应对各种风险挑战的必然选择。知识搜索被视为一种战略性活动，旨在获取关键信息，以便更好地适应和应对不断变化的情况。知识搜索可能涉及到内部资源的整合和对外部环境的监测，以确保组织能够及时获得必要的洞察和知识。组织知识搜索的过程被认为是一种学习和发现新机会、解决问题的过程，知识搜索是这些企业创新过程中不可或缺的一环，有助于企业获取最新的科研成果、前沿技术、学术论文等信息。这些信息对于企业在关键核心技术领域的研发起到了积极的推动作用。 过去的研究主要集中在知识搜索的广度和深度、组织内外部知识搜索、本地搜索与远程搜索等与创新关系的分析。然而，对于知识搜索倾向，尤其是知识更新倾向的搜索策略（包括探索性搜索策略和利用性搜索策略），相关研究较为有限。企业的知识更新程度指的是企业不断获取、整合和应用新知识的能力。企业的知识搜索偏好涉及到它们在知识搜索和应用中的倾向和策略选择，这将对企业创新绩效的不同维度产生影响。然而，探索性搜索策略和利用性搜索策略与不同类型的企业创新绩效之间的关系仍存在研究空白。以前的研究更多地关注探索性和利用性搜索策略对企业的估值、业绩预测以及相关经济后果的影响，忽视了它们对于企业创新绩效，特别是不同维度创新绩效（比如创新新颖性、创新产出、渐进性和突破性创新）的影响。本文以此为切入点，探究了探索性搜索策略和利用性搜索策略与企业创新绩效的作用机理，并考察了合作网络与知识网络嵌入下的边界条件。在这个背景下，本研究建立了一个双重网络嵌入知识搜索策略影响企业创新绩效的理论框架，并对该理论框架及其相应的假设进行了实证研究验证，最终得出了研究结论。 首先，本文研究了企业二元搜索策略（探索性搜索策略和利用性搜索策略）对创新新颖性的影响，以及合作网络局部效率与知识网络可分解性的调节作用。通过对专利数据的最小二乘回归模型分析，本文发现采用探索性搜索策略的企业更有可能在创新过程中追求新的技术和方法，从而增加了创新新颖性。相比之下，采用利用性搜索策略的企业更专注于现有知识的应用和改进，但这可能导致路径依赖和创新新颖性的减少。此外，合作网络的局部效率对探索性/利用性搜索策略与企业创新新颖性之间的关系产生显著的调节作用。对于采取探索性搜索策略的企业，合作网络局部效率的增加强化了探索性搜索策略与创新新颖性之间的正向关系。然而，对于采取利用性搜索策略的企业，合作网络局部效率的增加可能会强化利用性搜索策略与创新新颖性之间的负向关系。此外，知识网络的可分解性也对探索性/利用性搜索策略与企业创新新颖性的关系产生显著的调节作用。在较高的知识网络可分解性结构下，采取探索性搜索策略的企业更容易实现多领域的知识融合，从而增加了创新新颖性。然而，知识网络可分解性的增加可能会加剧利用性搜索策略与创新新颖性之间的负面影响。 其次，本文研究了企业二元搜索策略（探索性搜索策略和利用性搜索策略）对创新产出的影响，以及合作网络度同配度与知识网络全局效率的调节作用。通过负二项回归模型分析专利数据，本文发现采用探索性搜索策略有助于提高企业的创新产出。然而，采用利用性搜索策略的企业更倾向于在熟悉领域中寻求改进与优化的机会，这可能导致技术路径依赖，形成所谓的“成熟陷阱”，不利于企业的创新产出。此外，合作网络的度同配度对探索性和利用性搜索策略与企业创新产出之间的关系产生了显著的调节作用。对于采取探索性搜索策略的企业，较高度同配度的网络可能会增强探索性搜索策略与创新产出之间的正向关系。然而，对于采取利用性搜索策略的企业，较高度同配度的网络可能会进一步限制创新产出的发展。另外，知识网络的全局效率也对企业的知识搜索策略与创新产出之间的关系产生显著影响。对于采取探索性搜索策略的企业，较高的知识网络全局效率可能会对其产生一定的制约。然而，对于利用性搜索策略的企业，全局效率的提高可能会对其产生积极影响，缓解了利用性搜索策略与创新产出之间的负相关关系。 最后，本文研究了企业二元搜索策略（探索性搜索策略和利用性搜索策略）对渐进性和突破性创新的影响，以及合作网络与知识网络的动态性对其的调节作用。通过最小二乘回归分析和负二项回归模型分析专利数据，本文发现探索性搜索策略在推动突破性创新方面表现出积极作用，有助于企业在未知领域中发掘新机遇，为其带来持久竞争优势。然而，在渐进性创新方面，探索性搜索策略可能存在局限。合作网络的动态性增加可能加剧了探索性搜索策略与渐进性创新之间的负向关系。另一方面，合作网络的动态性增加可能增强了利用性搜索策略与渐进性创新之间的正面作用。此外，知识网络的动态性增加有助于加强探索性搜索策略与突破性创新之间的正向关系。然而，知识网络的动态性与利用性搜索策略的交互作用为负向，但调节作用并未显著。 本文的研究创新点主要包括以下四个方面。第一，丰富知识搜索与创新关系的研究边界和内涵。从企业层面出发，深入探究了探索性搜索策略和利用性搜索策略对不同类型的创新绩效的影响，为知识搜索相关的理论和实证研究提供了新的视角。现有研究主要侧重于知识搜索的广度和深度，组织内外部知识搜索，本地搜索与远程搜索等方面，但随着信息技术的发展和市场环境的变化，企业需要更多关于知识搜索策略与创新实践的指导。因此，本研究通过深度分析不同知识搜索策略与企业多维度创新绩效之间的关系和作用机制，进一步拓展了知识搜索理论和创新理论。 第二，以社会网络视角深入探索知识搜索与创新之间的关系。与过去的研究主要关注合作网络的结构属性，如中心性、结构洞和网络凝聚性等，而本研究引入了新的视角，关注了合作网络节点的平均信息效率（局部效率）以及节点度同配度，以更全面地理解知识搜索与创新之间的复杂关系，探索企业知识搜索策略与创新绩效之间的边界条件。以往的研究更多将合作网络局部效率应用于交通网络和信息网络的研究，而本文创新性地将网络局部效率引入企业内部研发人员合作网络的分析中，考察了研发人员作为创新主体和信息共享节点时网络局部效率的实际意义，从而深化了对合作网络结构特征的理解。此外，本研究还研究了合作网络的度同配度对探索性搜索策略、利用性搜索策略与企业创新产出关系的调节作用，进一步加深了对知识搜索策略的理解。通过联系的角度分析企业内部研究人员的二元合作模式特征，揭示了这些特征对知识搜索策略对创新效果的影响。从而深化了对合作网络结构特征的理解，丰富了合作网络与创新的相关研究。 第三，通过深入分析知识网络结构属性，本研究揭示了知识与创新之间的底层规律，有助于解开知识组合与创新之间的复杂关系，进一步揭示了影响企业创新方向与创新效果的核心机制。在过去的研究中，关于知识搜索与创新的影响主要关注了知识网络中的中心性、结构洞等结构属性，而对于知识网络可分解性以及全局效率的机制研究相对匮乏。本文将脑科学领域的网络全局效率这一概念引入企业内部知识网络结构与创新关系的研究中，扩展了对企业知识网络结构与创新关系的研究领域，丰富了对知识网络结构属性的理解，填补了知识网络全局效率与企业创新关系的研究空白，为深入理解知识网络如何影响企业创新提供了新的视角和理论支持。 第四，丰富网络动态性相关研究。本文采用动态视角，研究了合作网络和知识网络的演化如何影响知识搜索策略与创新之间的关系。传统研究主要关注网络静态结构对企业创新的影响，而本文通过考察网络结构随时间变化的情况，以及这些变化如何影响知识搜索策略和渐进性、突破性创新绩效的关系，丰富了在动态环境下研究知识搜索策略与企业创新绩效关系的内容，深化了对网络动态性相关理论的理解。这有助于更好地理解企业在不断变化的环境中如何协调知识搜索策略和创新之间的关系。 本研究丰富了现有研究对知识搜索如何影响企业多维度创新绩效的理解，并为知识和创新管理提供了有价值的见解。基于知识基础观和社会网络理论，将企业知识搜索、内部合作网络、知识网络与企业创新绩效纳入到一个框架，从企业内部网络结构的角度探究二元知识搜索与创新绩效之间关系的边界条件。知识搜索是行动，同时也影响企业知识内容。也进一步扩展了Giddens（1984）的结构与行动二重性理论，即结构也将影响行动的效果，尤其是企业内部合作网络、知识网络结构将影响知识搜索行为对创新结果的影响。本究的结果对实现预期创新绩效的组织设计以及战略人力资本的管理也具有重要意义。
英文摘要：	In a highly competitive business environment, innovation is the key for firms to maintain their competitiveness. With the rapid update of knowledge and rapid technological development, the business environment has become more complex and rapidly changing. In this environment filled with rapidly updating knowledge and technology, firms face unprecedented challenges and opportunities. In this context, technological innovation becomes the inevitable choice for firm development and addressing various risks and challenges. Knowledge search is considered a strategic activity aimed at acquiring critical information to better adapt and respond to the constantly changing circumstances. Knowledge search may involve the integration of internal resources and monitoring of the external environment to ensure that organizations can access necessary insights and knowledge in a timely manner. The process of organizational knowledge search is seen as a learning and problem-solving process and is an indispensable part of the innovation process for these firms, helping them access the latest research findings, cutting-edge technologies, academic papers, and other information in critical core technology areas. This information plays a positive role in driving research and development in these companies. Previous research has primarily focused on the breadth and depth of knowledge search, internal and external knowledge search, and the analysis of the relationship between innovation and local and remote search. However, there is relatively limited research on knowledge search tendencies, especially knowledge updating tendencies in search strategies (including exploratory search strategies and exploitative search strategies). The extent of knowledge updating for firms refers to their ability to continuously acquire, integrate, and apply new knowledge. Firm knowledge search preferences involve their tendencies and strategy choices in knowledge search and application, which can have an impact on various dimensions of firm innovation performance. However, there is still a research gap in understanding the relationship between exploratory and exploitative search strategies and different types of firm innovation performance, such as novelty, output, incremental, and radical innovation. This thesis explores the mechanisms of the roles of exploratory and exploitative search strategies in firm innovation performance and examines the boundary conditions under collaboration networks and knowledge network embedding. In this context, this study establishes a theoretical framework that integrates dual network embedding and knowledge search strategies to impact firm innovation performance and empirically tests the theoretical framework and its corresponding hypotheses, ultimately drawing research conclusions. Firstly, this thesis investigates the impact of dual search strategies (exploratory and exploitative search strategies) on the novelty of innovation and the moderating effects of collaboration network local efficiency and knowledge network decomposability. Through a OLS regression analysis of patent data, this thesis finds that firms adopting exploratory search strategies are more likely to pursue new technologies and methods in the innovation process, thereby increasing novelty in innovation. In contrast, firms adopting exploitative search strategies tend to focus on the application and improvement of existing knowledge, which may lead to path dependence and a reduction in novelty in innovation. In addition, collaboration network local efficiency has a significant moderating effect on the relationship between exploratory/exploitative search strategies and innovation novelty. For firms adopting exploratory search strategies, increased local efficiency of the collaboration network strengthens the positive relationship between exploratory search strategies and innovation novelty. However, for firms adopting exploitative search strategies, an increase in collaboration network local efficiency may further limit the development of innovation novelty. Furthermore, knowledge network decomposability also has a significant moderating effect on the relationship between exploratory/exploitative search strategies and innovation novelty. In a high decomposable knowledge network structure, firms adopting exploratory search strategies are more likely to achieve cross-domain knowledge integration, thereby increasing innovation novelty. However, an increase in knowledge network decomposability may exacerbate the negative impact of exploitative search strategies on innovation novelty. Secondly, this thesis examines the impact of dual search strategies (exploratory and exploitative search strategies) on innovation output and the moderating effects of collaboration network degree assortativity and knowledge network global efficiency. Through a negative binomial regression analysis of patent data, this thesis finds that adopting exploratory search strategies helps increase firm innovation output. However, firms adopting exploitative search strategies tend to seek opportunities for improvement and optimization in familiar fields, which may lead to technological path dependence and the formation of a "maturity trap," which is not conducive to innovation output. Additionally, collaboration network degree assortativity has a significant moderating effect on the relationship between exploratory and exploitative search strategies and innovation output. For firms adopting exploratory search strategies, a higher degree assortativity network may strengthen the positive relationship between exploratory search strategies and innovation output. However, for firms adopting exploitative search strategies, a higher degree assortativity network may further limit the development of innovation output. Furthermore, knowledge network global efficiency also has a significant impact on the relationship between firm knowledge search strategies and innovation output. For firms adopting exploratory search strategies, higher knowledge network global efficiency may impose some constraints. However, for firms adopting exploitative search strategies, an improvement in global efficiency may have a positive impact, mitigating the negative relationship between exploitative search strategies and innovation output. Finally, this thesis investigates the impact of dual search strategies (exploratory and exploitative search strategies) on incremental and radical innovation and the moderating effects of collaboration network and knowledge network dynamics. Through least squares regression analysis and negative binomial regression analysis of patent data, this thesis finds that exploratory search strategies play a positive role in promoting radical innovation, helping firms explore new opportunities in unknown areas and providing them with a lasting competitive advantage. However, exploratory search strategies may have limitations in incremental innovation. An increase in collaboration network dynamics may exacerbate the negative relationship between exploratory search strategies and incremental innovation. On the other hand, an increase in collaboration network dynamics may enhance the positive impact of exploitative search strategies on incremental innovation. Additionally, an increase in knowledge network dynamics helps strengthen the positive relationship between exploratory search strategies and radical innovation. However, the interaction between knowledge network dynamics and exploitative search strategies is negative, but the moderating effect is not significant. This research contributes to the understanding of how knowledge search affects firm innovation performance, providing valuable insights for knowledge and innovation management. Based on the knowledge-based view and social network theory, it integrates firm knowledge search, internal collaboration networks, knowledge networks, and firm innovation performance into a framework. Knowledge search is action that also affects the knowledge content of the firm. It also further extends Giddens’ theory of structure-action duality, that is, structure will also influence the effects of actions, and in particular, intra-firm collaboration networks, and knowledge network structure will influence the impact of knowledge search behavior on innovation outcomes. The results of this study also have important implications for organizational design to achieve desired innovation performance as well as for the management of strategic human capital.
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