管理工程学报
管理工程學報
관리공정학보
Journal of Industrial Engineering and Engineering Management
2014年
3期
100~109
,共null页
知识三角 产学研协同创新 动态演化 自组织理论
知識三角 產學研協同創新 動態縯化 自組織理論
지식삼각 산학연협동창신 동태연화 자조직이론
knowledge triangle; University-Industry collaborative innovation; Self-organization theory; the "B-Z" reaction model
产学研协同创新体现了系统集成的思想,本文以协同学为基础,从自组织理论视角分析了高校创新能力在产学研协同创新过程中的动态演化规律.研究表明:复杂性科学可以有效地解决公共管理问题的不确定性,本文以具有自组织特征的“B-Z”反应模型为基础,建立了高校知识生产能力、知识传播能力和知识转移能力构成的Logistic模型,通过稳定性分析与仿真模拟,讨论了高校三个能力子系统在产学研协同创新过程中的演化规律,并进一步确定了主导能力要素的序参量模型,并且对我国31所高校在产学研协同创新过程中的演化规律进行了验证性实证分析.本文的研究为我国研究型大学通过调整内部能力结构促进产学研协同创新提供了定量的分析视角与科学的政策讨论依据.
產學研協同創新體現瞭繫統集成的思想,本文以協同學為基礎,從自組織理論視角分析瞭高校創新能力在產學研協同創新過程中的動態縯化規律.研究錶明:複雜性科學可以有效地解決公共管理問題的不確定性,本文以具有自組織特徵的“B-Z”反應模型為基礎,建立瞭高校知識生產能力、知識傳播能力和知識轉移能力構成的Logistic模型,通過穩定性分析與倣真模擬,討論瞭高校三箇能力子繫統在產學研協同創新過程中的縯化規律,併進一步確定瞭主導能力要素的序參量模型,併且對我國31所高校在產學研協同創新過程中的縯化規律進行瞭驗證性實證分析.本文的研究為我國研究型大學通過調整內部能力結構促進產學研協同創新提供瞭定量的分析視角與科學的政策討論依據.
산학연협동창신체현료계통집성적사상,본문이협동학위기출,종자조직이론시각분석료고교창신능력재산학연협동창신과정중적동태연화규률.연구표명:복잡성과학가이유효지해결공공관리문제적불학정성,본문이구유자조직특정적“B-Z”반응모형위기출,건립료고교지식생산능력、지식전파능력화지식전이능력구성적Logistic모형,통과은정성분석여방진모의,토론료고교삼개능력자계통재산학연협동창신과정중적연화규률,병진일보학정료주도능력요소적서삼량모형,병차대아국31소고교재산학연협동창신과정중적연화규률진행료험증성실증분석.본문적연구위아국연구형대학통과조정내부능력결구촉진산학연협동창신제공료정량적분석시각여과학적정책토론의거.
This paper mainly uses the "B-Z" reaction model of self-organization theory as a basis for building a mathematical simulation model.In addition,metaphors are used to explain how to improve universities' innovation ability to promote UniversityIndustry collaborative innovation.Specifically,this paper mainly focuses on understanding:(1) the dominant ability factors of colleges and universities in the process of University-Industry collaborative innovation; and (2) the process mechanism of the dynamic evolution of knowledge triangle-based university-industry collaborative innovation.By using metaphors as the research method to introduce self-organization theory,this paper defines university as a variable in the process of university-industry collaborative innovation,including university research system based on systems theory,knowledge production capacity,knowledge dissemination capacity,knowledge transfer capacity,and external input mechanism.This paper analyzes the mathematical relationship among three capacities and finds that the ability of knowledge production is the dominant factor for universities to participate in university-industry collaborative innovation.This paper establishes a mathematical model of co-evolution between among universities' capacities,and uses mathematical software to simulate the evolution trend of internal state of three abilities of the university system under different external inputs mechanisms.Finally,based on slaving principle of sequence parameter of selforganization,this paper defines knowledge production capacity as the sequence parameter of university system,and constructs the system evolution equation of sequence parameter by using adiabatic elimination principle.The equation allows scientific forecast capacity evolution of 31 university systems in the process of university-industry collaborative innovation.The synergistic relationship between the capacities of university system significantly influences the research collaborative innovation performance under the strong external input mechanism.Theoretical contribution and innovation of this paper are mainly reflected in the following three aspects:(1) The process and competency framework of university-industry collaborative innovation based on the knowledge triangle can enrich the research collaborative innovation theory; (2) Using metaphors as the research method can help introduce self-organization theory of synergetics concept,and analyze the nature of University system in the process of universityindustry collaborative innovation ; (3) This paper introduces the self-organization theory of "B-Z" reaction model,and analyzes the process mechanism of the dynamic evolution of knowledge triangle-based university-industry collaborative innovation.This paper provides a guideline for Chinese universities to make effective policies in adjusting their internal ability structure in order to enhance innovation performance.