文章基本信息

标题：A Multi-Attribute Assisted Performance Deduction and Related Value in Triple Helix Innovation Networks
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作者：Honxing Yao ; Henry Asante Antwi ; Evans Takyi Ankomah-Asare 等
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2020
卷号：16
期号：4
页码：751-760
DOI：10.18187/pjsor.v16i4.2814
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：Typically, Triple Helix relations, between, Higher Education Institutions, Governments and Industry(s) are inferred from patents and research output. Systemic determination of the relationship is because of observations over a period. It is, however, possible to analyze this relation from a system present from the word-go. This then allows for the interaction to be analyzed on the basis of performance and logically gains for participation by all the agents. Several models have been proposed to deduce the Triple Helix Relation and these hold. This paper has however introduced a new dimension to the analysis, by viewing participation from an investor point of view with decision making being of a complex and deductive nature based on the performance of higher education systems or institutions. The TOPSIS supported performance deductions helps synthesis decision solutions that facilitates value determination of performance and its resultant impact on investment gains. Possible future implications for this, are also provided.
关键词：Triple Helix;Government;Higher Education Systems;Industry;TOPSIS;Decision Making