Main Article Content

Abstract

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

Keywords

Triple Helix Government Higher Education Systems Industry TOPSIS Decision Making.

Article Details

Author Biographies

Honxing Yao, School of Finance and Economics, Jiangsu University, Zhenjiang, China

Yao, Hongxing is the winner of several prestigious Chinese national and institutional awards. These include but not limited to the "Outstanding Teacher by China Machinery Ministry” and "Backbone Young Teachers of Jiangsu University". He is currently the winner and manager of two Chinese National Science grants. He has a specialisation in analysis and control of complex systems as well as complex economic systems. He is currently a researcher and Graduate Supervisor in the School of Finance and Economics of Jiangsu University. Prof Yao is also the Vice Dean of Graduate Education as well as the School of Finance and Economics at Jiangsu University, Zhenjiang, China.

Henry Asante Antwi, School of Finance and Economics, Jiangsu University, Zhenjiang, China

Henry is a product of the St Augustine’s College (a prestigious Catholic High School in his native country of Ghana) and the University of Ghana. He previously studied at the Lobachevski National Research University in Russia, the Jiangsu University and working experiences in the affiliated foreign language schools of Fudan University and the Shanghai Normal University. Henry is a recipient of the Jiangsu Province Jasmine and Presidential scholarship as well as the 2016, PhD Academic Star award for his contribution to development research in China. With over 70 academic publications to his credit, He is a reviewer for several high profile journals and has led several national and provincial level projects in China. Henry is currently a fellow of the Institute of System Engineering where he leads a team of researchers in Asia-Africa Development Systems. A native of Patriensa; a farming community in the Ashanti Kingdom in Ghana, Henry draws inspiration from the motto of his alma mater “Omnia Vincit Labor (Perseverance conquers All). Beside English and two native languages, Henry speaks and works in Russian and Chinese languages.

Evans Takyi Ankomah-Asare, School of Finance and Economics, Jiangsu University, Zhenjiang, ChinaNational Council for Tertiary Education, Accra, Ghana.

Evans Takyi Ankomah-Asare holds a Masters in Learning in Complex Systems awarded by the University College of Akershus, Norway. He is also the holder of a Bachelor’s degree in Social Work with Sociology from is University of Ghana. He has participated in Going Global since 2013 (Dubai) and also a member of INQAHEE. His research interests are in Transnational Education, Internationalization, Decision Science, Educational Policy and Management as well as Access and Equity of participation and presence in Higher Education.

How to Cite
Yao, H., Antwi, H. A., & Ankomah-Asare, E. T. (2020). A Multi-Attribute Assisted Performance Deduction and Related Value in Triple Helix Innovation Networks. Pakistan Journal of Statistics and Operation Research, 16(4), 751-760. https://doi.org/10.18187/pjsor.v16i4.2814

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