Assessing Impact Of Triple Helix Variables To Knowledge Transfer Variable And Innovation Systems

Agung Budi Prasetio and Mohd Aboobaider, Burhanuddin and Ahmad, Asmala (2021) Assessing Impact Of Triple Helix Variables To Knowledge Transfer Variable And Innovation Systems. Turkish Journal of Computer and Mathematics Education, 12 (4). pp. 1690-1700. ISSN 1309-4653

Text AGUNGBURHANUDDINASMALA ASSESSING IMPACT OF TRIPLE HELIX VARIABLES TO KNOWLEDGE TRANSFER.PDF Download (373kB)

Abstract

The purpose of this study was to examine the role of the triple helix (TH) variable in knowledge transfer and innovation systems. TH is divided into 3 variables, namely Industry, University and Government. This study examined three TH knowledge transfer variables and innovation systems and the items variables that supported them. This study involved 360 respondents who were selected through an interception and online survey approach and had 4 hypotheses.This study used a structural equation model to test the hypothesis. The findings showed that TH which consisted of 3 variables had a direct relationship with knowledge transfer.Meanwhile, knowledge transfer was directly related to innovation systems. Although the TH concept had been explored in some previous literature, the role of TH and knowledge transfer had not been the concern of many researchers in creating innovation systems. Implications for practitioners, these findings confirmed that Innovation systems can be formed from an early age starting from the university environment and good government policies. These findings also indicated that knowledge transfer related to TH services needed to be studied from a broader perspective. Therefore, handling TH required synergy and a special strategy to take advantage of knowledge transfer in order to create an innovation system. Originality of this study, integrated the TH dimension with knowledge transfer and Innovation Systems.

Item Type:	Article
Uncontrolled Keywords:	Triple helix, Knowledge transfer, Innovation systems, Integrated model
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	15 Mar 2022 16:10
Last Modified:	15 Mar 2022 16:10
URI:	http://eprints.utem.edu.my/id/eprint/25704
Statistic Details:	View Download Statistic

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