自组织理论视角下科技合作创新绩效关键影响因素研究——基于重大科技项目的实证研究
Researchon Key Influencing Factors of S&T Cooperation Innovation Performance From Perspective of Self-organization Theory——Empirical Research Based on Major S&T Projects
蒋兴华 1李泽龙 1范心雨1
作者信息
- 1. 华南理工大学工商管理学院,广东 广州 510640
- 折叠
摘要
论文研究基于自组织理论,对引起科技合作自组织系统涨落的因素进行分析,构建起由外部环境、资金条件两个外涨落因子和组织机制、科研团队、项目负责人三个内涨落因子组成的影响因素体系.通过探究自组织系统演化机理,构建出创新系统自组织演化过程,凸显系统自组织程度与创新绩效的关系.以重大科技项目为例,利用线性回归和结构方程模型进行实证验证,结果发现明确的政策导向、持续的产业需求和稳定的资金支持有助于科技项目这一自组织形式保持"开放与非平衡态"的特征,同时高效的内部运行机制是自组织的根本动力,即合理的组织实施机制、能力超群的项目负责人以及配合默契的科研团队通过非线性相互作用,推动创新活动持续的发展.
Abstract
Based on the self-organization theory,this paper analyzes the factors that cause the fluctuation of the self-organization system of scientific and technological cooperation,and constructs an influencing factor system composed of two external fluctuation factors,in-cluding external environment and financial conditions,and three internal fluctuation factors,including organizational mechanism,sci-entific research team and project leader.By exploring the evolution mechanism of self-organizing system,the evolution process of inno-vation system is constructed,highlighting the relationship between the degree of system self-organization and innovation perform-ance.Taking major S&T projects as an example,the linear regression and structural equation model are used for empirical verifica-tion.The results show that clear policy guidance,continuous industrial demand and stable financial support help the self-organization form of S&T projects to maintain the characteristics of"open and unbalanced state".Meanwhile,efficient internal operation mechanism is the fundamental driving force of self-organization,that is,reasonable organization and implementation mechanism,competent project leaders and cooperative scientific research teams promote the sustainable development of innovation activities through nonlinear interaction.
关键词
合作创新/重大科技项目/创新绩效/影响因素/自组织理论Key words
Cooperative innovation/Major S&T project/Innovation performance/Influencing factor/Self-organization theory引用本文复制引用
出版年
2024
NETL
NSTL
万方数据