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论文编号：	15390
作者编号：	1120211206
上传时间：	2025/6/9 21:02:11
中文题目：	组织演化视角下企业知识基础差异对合作创新的影响研究
英文题目：	The Impact of Knowledge Base Differences on Collaborative Innovation: An Organizational Evolution Perspective
指导老师：	古志辉
中文关键字：	知识基础差异；合作创新；组织演化；创新独占；有限理性
英文关键字：	Knowledge Base Differences；Collaborative Innovation；Organizational Evolution；Innovation Appropriation；Bounded Rationality
中文摘要：	作为我国科技创新体系中的新型联合攻关组织模式，企业主导的创新联合体已成为我国突破关键核心技术瓶颈、推动产业链与创新链深度融合的重要载体。合作创新是企业参与创新联合体建设的主要实现路径。但统计研究发现，当前中国企业的合作创新实践尚面临着合作研发的内生动力不足、合作创新主体的多样性匮乏以及合作空间本地化等诸多现实问题。为厘清微观企业合作创新乏力的深层动因，本文基于知识基础视角揭示了企业知识基础在动态演化过程中形成的纵向历史差异与横向行业差异对微观企业合作创新的影响，并从合作伙伴特征（数量、组织类型多样性、地理距离）以及合作创新结果（数量、质量）等多个维度对这一影响展开细致讨论。同时，考虑到在创新联合体建设中企业所扮演的主导者角色以及政府所发挥的引导推动作用，本文从“企业—政府”双元维度出发，通过引入创新独占机制（正式与非正式）、政企数字化建设水平、企业合作文化及区域市场化程度等多重因素，系统探究了知识基础差异对合作创新产生影响的具体边界条件及情境作用机制。 本文以2000-2022年沪深证券交易所A股上市企业作为研究样本，以企业联合申请专利数据反映企业合作创新，通过编写文本语义分析、百度地图爬虫等Python程序提取专利申请人的组织类型、地理经纬度等基本信息，获得研究所需的系列数据。通过OLS回归、工具变量回归等实证方法，本文获得如下研究结论：首先，在创新独占动机的影响下，企业相较于过去时点的历史知识基础差异会抑制合作伙伴的数量规模，降低合作伙伴的组织类型多样性以及阻碍企业建立远距离的合作伙伴关系。并且，这种抑制作用在非高竞争市场与高科技企业样本中将更为显著。此外，作为正式创新独占机制的知识产权保护水平以及企业内部的非正式创新独占机制，均会弱化历史知识基础差异对合作创新伙伴数量以及多样性的负向影响。但新颖性知识元素作为企业历史知识基础差异的重要表现，会强化企业历史知识基础差异对新知识元素价值的独占期望，使企业主动减少合作伙伴数量与合作伙伴多样性。 其次，在外部合作者“有限理性”的前提下，企业相较于行业原型的行业知识基础差异同样会抑制合作伙伴的数量规模，降低合作伙伴的组织类型多样性以及阻碍企业建立远距离的合作伙伴关系。但这种抑制作用在高竞争市场与高科技企业样本中将得到缓解。机制分析显示，行业中的技术动态性能够放松外部合作伙伴对于行业平均知识水平的参照依赖，削弱行业知识基础差异对合作伙伴数量及多样性的抑制作用。但企业年龄会强化外部合作者对企业形成的行业身份烙印，进而增强行业知识基础差异对合作伙伴数量以及合作伙伴多样性的负向影响。此外，企业数字化水平与地方政府对数字经济的关注度均能在行业知识基础差异化条件下推动企业扩大合作伙伴数量、多样性以及促成异地合作创新。 最后，历史-行业知识基础差异均会抑制合作创新绩效，主要表现为减少合作创新的数量与降低合作创新的质量；但企业知识基础同时在历史-行业维度上演化偏离反而会促进企业与其他组织之间的合作创新绩效。中介机制检验发现，历史与行业知识基础差异均可以通过减少外部合作伙伴的数量、降低合作伙伴的组织类型多样性以及减少远距离的合作伙伴关系负向影响合作创新绩效。调节机制分析表明，企业合作文化通过营造开放、协作和共享的创新氛围与创新意识在历史-行业知识基础差异与合作创新绩效的关系中发挥正向调节作用。地区市场化程度通过改善区域信息环境、加速技术创新频率，同样能够削弱历史-行业知识基础差异对合作创新绩效的负面影响。 本文立足于创新联合体建设在实现国家科技重大技术攻关与促进产业链和创新链深度融合方面的积极意义，挖掘当前企业合作创新所面临的现实瓶颈，从知识基础动态演化视角揭示了企业合作创新乏力的深层次动因与影响机制。本研究的理论意义在于从动态演化视角构建了企业知识基础差异与合作创新的关系模型，突破了企业知识基础结构特征与合作创新的静态匹配逻辑，丰富并拓展了知识基础差异与合作创新之间的因果认识。本文的相关研究结论为企业更好融入开放式创新网络，建立更广范围的合作伙伴关系链接以及谋求更高的合作创新绩效提供理论指导；同时也为地方政府针对性地激发企业自主合作创新意愿，优化知识产权保护政策以及围绕区域数字化经济建设推动企业开放式创新提供经验参考。
英文摘要：	As a new collaborative model within China's scientific and technological innovation system, enterprise-led innovation consortia have become a crucial vehicle for breaking through key technological bottlenecks and fostering deep integration between industrial and innovation chains. Collaborative innovation is the primary pathway for enterprises to participate in the construction of innovation consortia. However, statistical research reveals that current collaborative innovation practices among Chinese enterprises face numerous barriers, including insufficient internal motivation for collaborative R&D, a lack of diversity among collaborative innovation entities, and localized collaboration spaces. To clarify the underlying causes of weak collaborative innovation at the micro-enterprise level, this study, based on the knowledge base perspective, reveals the impact of vertical historical differences and horizontal industry differences formed during the dynamic evolution of enterprise knowledge bases on micro-enterprise collaborative innovation. It further explores this impact in detail from multiple dimensions, including partner characteristics (quantity, diversity of organizational types, geographic distance) and collaborative innovation outcomes (quantity, quality). Additionally, considering the leading role of enterprises and the guiding role of governments in the construction of innovation consortia, this study distinguishes between formal and informal innovation appropriation mechanisms, digitalization efforts of enterprises and governments, corporate culture, and regional marketization levels from the "enterprise-government" dimension to explore the boundary conditions and contextual mechanisms through which knowledge base differences affect collaborative innovation. Using A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2000 to 2022 as the research sample, this study reflects enterprise collaborative innovation through jointly applied patent data. By employing Python programs for text semantic analysis and Baidu Map web scraping, basic information such as organizational types and geographic coordinates of patent applicants was extracted to obtain the necessary data. Through empirical methods such as OLS regression and instrumental variable regression, the following conclusions were drawn: First, under the influence of innovation appropriation motives, historical knowledge base differences compared to past time points inhibit the scale of partners, reduce the diversity of partner organizational types, and hinder the establishment of long-distance partnerships. This inhibitory effect is more pronounced in non-highly competitive markets and high-tech enterprises. Furthermore, both formal innovation appropriation mechanisms, such as intellectual property protection levels, and informal internal mechanisms weaken the negative impact of historical knowledge base differences on the quantity and diversity of collaborative innovation partners. However, novel knowledge elements, as a significant manifestation of historical knowledge base differences, strengthen the appropriation expectations of new knowledge elements, leading enterprises to actively reduce the quantity and diversity of partners. Second, under the premise of "bounded rationality" of external partners, industry knowledge base differences compared to industry prototypes also inhibit the scale of partners, reduce the diversity of partner organizational types, and hinder the establishment of long-distance partnerships. However, this inhibitory effect is alleviated in highly competitive markets and high-tech enterprises. Mechanism analysis shows that the degree of technological dynamism in the industry can relax external partners' reliance on industry-average knowledge levels, mitigating the inhibitory effect of industry knowledge base differences on partner quantity and diversity. However, enterprise age strengthens the industry identity formed by external partners, thereby enhancing the negative impact of industry knowledge base differences on partner quantity and diversity. Additionally, both enterprise digitalization levels and local government attention to the digital economy can promote the expansion of partner quantity, diversity, and cross-regional collaborative innovation under conditions of industry knowledge base differentiation. Finally, unilateral differences in enterprise knowledge bases in either the historical or industry dimension inhibit collaborative innovation performance, primarily by reducing the quantity and quality of collaborative innovation. However, simultaneous evolutionary deviations in both historical and industry dimensions of the knowledge base promote collaborative innovation performance between enterprises and other organizations. Mediation mechanism tests reveal that both historical and industry knowledge base differences negatively affect collaborative innovation performance by reducing the quantity of external partners, lowering the diversity of partner organizational types, and decreasing long-distance partnerships. Moderating mechanism analysis indicates that corporate collaboration culture positively moderates the relationship between historical-industry knowledge base differences and collaborative innovation performance by fostering an open, cooperative, and sharing-oriented innovation atmosphere. Regional marketization levels also mitigate the negative impact of historical-industry knowledge base differences on collaborative innovation performance by improving regional information environments and accelerating technological innovation frequency. This study, grounded in the positive significance of innovation consortia in achieving major national technological breakthroughs and promoting deep integration of industrial and innovation chains, identifies the practical bottlenecks faced by current enterprise collaborative innovation. From the perspective of knowledge base dynamic evolution, it reveals the deep-seated causes and mechanisms affecting weak enterprise collaborative innovation. The theoretical contribution lies in constructing a relationship model between enterprise knowledge base differences and collaborative innovation from a dynamic evolution perspective, breaking through the static matching logic between enterprise knowledge base structural characteristics and collaborative innovation, and enriching the causal understanding of knowledge base differences and collaborative innovation. The findings provide theoretical guidance for enterprises to better integrate into open innovation networks, establish broader collaborative innovation partnerships, and achieve higher collaborative innovation performance. They also offer empirical references for local governments to stimulate enterprises' autonomous collaborative innovation intentions, optimize intellectual property protection policies, and promote enterprise open innovation through regional digital economy construction.
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