详细信息
基于科技服务生态系统的众创空间多维绩效协同路径研究
The Multi-Dimensional Performance of Collaborative Path of Maker Space Based on Sci-Tech Service Ecosystem
文献类型:期刊文献
中文题名:基于科技服务生态系统的众创空间多维绩效协同路径研究
英文题名:The Multi-Dimensional Performance of Collaborative Path of Maker Space Based on Sci-Tech Service Ecosystem
作者:张坚[1];刘雪莲[1];马明月[1];王艺桥[1]
机构:[1]华东理工大学商学院,上海200237
年份:2026
卷号:43
期号:5
起止页码:37
中文期刊名:科技进步与对策
外文期刊名:Science & Technology Progress and Policy
收录:;北大核心:【北大核心2023】;
基金:国家社会科学基金一般项目(19BGL269);中国科协海智计划课题研究项目(HOME2021-09)。
语种:中文
中文关键词:众创空间;多维绩效;科技服务生态系统;fsQCA
外文关键词:Maker-space;Multi-dimensional Performance;Sci-tech Service Ecosystem;fsQCA
摘要:众创空间科技服务生态与其多维绩效存在紧密互动关系,促进孵化绩效、社会绩效、创新绩效相互依存、互为驱动、迭代强化且呈“螺旋上升”态势。基于科技服务生态系统视角,以5大城市群13个省级行政区众创空间为研究案例,运用组态思维和fsQCA方法,探讨科技人才生态、科技金融生态、科技设施生态、科技服务生态和产业创新生态促进众创空间多维绩效提升的复杂协同路径。结果表明:(1)众创空间多维绩效的实现依赖于科技服务生态系统中多要素协同耦合;(2)众创空间各要素间协同耦合,在众创空间实现高孵化绩效、高社会绩效和高创新绩效中存在相同路径,“科技金融生态—科技人才生态—科技设施生态—产业创新生态”驱动型路径是众创空间多维绩效实现的关键路径;(3)单个要素不构成众创空间高孵化绩效、高社会绩效和高创新绩效的必要条件,良好的科技金融生态是众创空间实现高绩效的关键前因条件。研究揭示了科技服务生态系统要素协同驱动众创空间多维绩效的耦合机制,可为优化众创空间生态布局,提升综合绩效提供参考。
There is a close interactive relationship between sci-tech service ecosystem of maker spaces and their multi-dimensional performance,promoting the interdependence,mutual driving,iterative reinforcement,and"spiral rise"of incubation performance,social performance,and innovation performance.However,domestic studies focus on the operational management of maker spaces and the short-term performance of incubated enterprises,while neglecting the systematic role of the full-chain service ecosystem in driving multi-dimensional outcomes.Foreign research has shifted toward sustainability and value co-creation,yet it still fails to clarify how maker spaces integrate human,cultural,and industrial resources and embed themselves in regional innovation systems.Existing literature emphasizes quantifiable explicit outputs but downplays the cultivation of high-growth enterprises like unicorns,lacking in-depth analysis of the collaborative mechanism among incubation,social,and innovation performance.Thus,it is necessary to adopt a multi-stage and whole process perspective to systematically examine the collaborative paths of resource integration,knowledge sharing,and multi-dimensional performance so as to achieve mutual empowerment between maker spaces and the sustainable development of regions.From the perspective of the sci-tech service ecosystem,this study selects 13 provincial-level administrative regions across 5 major urban agglomerations as research cases.It draws on the average values of data concerning the multi-dimensional performance of maker spaces from 2017 to 2023,and employs configuration thinking and the fsQCA method to explore the complex synergistic paths through which the human resource ecosystem,financial capital ecosystem,infrastructure ecosystem,technology service ecosystem,and industrial innovation ecosystem drive the sustained improvement of maker spaces'multi-dimensional performance.The research findings reveal that the achievement of maker spaces'multi-dimensional performance relies on the collaborative coupling of multiple elements within the sci-tech service ecosystem.For maker spaces,the collaborative coupling of various elements follows a consistent path in realizing high incubation performance,high social performance,and high innovation performance,specifically,the driving path of"financial capital ecosystem-human resource ecosystem-infrastructure ecosystem-industrial innovation ecosystem"serves as the core pathway to attain their multi-dimensional performance.No single element constitutes a necessary condition for maker spaces to achieve high incubation,social,or innovation performance;nevertheless,a robust financial capital ecosystem emerges as a key antecedent condition for their high performance.This study frames a"technology-economy-society"coupling path for maker-space performance that is woven through the sci-tech service ecosystem.First,under a regional-innovation integration strategy,maker spaces are embedded in the local innovation ecosystem to address national missions and core technological bottlenecks,thereby completing a full-chain incubation and growth pipeline for technology-based enterprises.Second,an ecological-governance trajectory is followed vertically,i.e.,resource foundations strengthen incubation performance,breakthrough outputs lift innovation performance,and widened application scenarios amplify social performance,while horizontally expanding social networks,feeding achievements back into incubation capacity,and steering resource flows to cultivate unicorn enterprises to enhance social contributions..Third,a collaborative path is forged with the sci-tech financial ecology as the pivotal condition,complemented at the margin by talent,large-scale facilities,and industrial-innovation ecologies,to propel multi-dimensional performance efficiently.Patient state capital is cultivated and enlarged within an investment and financing mechanism led by government funds,dominated by corporate finance,with enterprise investment as the main body,and followed by the Science and Technology Innovation Board and private capital.The research conclusions can provide effective support for the deep integration of the innova-tion chain,industrial chain,capital chain,and talent chain through entrepreneurship incubation services,and provide important implications for the accelerated growth of unicorn companies in China.Future research should incorporate government policies like digital transformation into the analytical framework,examine their impacts on the performance of maker spaces,thereby enhancing the explanatory power of research conclusions and facilitating an understanding of the internal logic behind maker spaces transitioning from the"performance improvement"stage to the new"ecological intelligence"stage.Meanwhile,with in-depth digital transformation and upgrading driving the evolution of their models from"physical incubation"to"digital incubation",future research also needs to further focus on and explore the specific paths for high-quality development after this model transformation,so as to fill the gaps in current research in this field.
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