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.
Highlights
In recent times, interest in knowledge transfer is expanding in several developed countries
The core concept of the triple helix approach is through the involvement of each variable from government, industry, and universities, so that knowledge transfer can lead to innovation
This study examines whether the innovation system can be driven by knowledge transfer, which is spurred by engagement between government, industry and universities
Summary
Interest in knowledge transfer is expanding in several developed countries. The cognitive system is a combination of beliefs, values, attitudes, assumptions, opinions and memories that are conveyed simultaneously, with the values derived from the content Researchers such as [3] define knowledge as a value that comes from a thought. In whatever dimension the knowledge is located, the transfer of that knowledge constitutes the largest part of a transfer of information This information can be in the form of code, writing, communication metaphors or even formats of observable behavior. Since the three variables in the TH model participate in the same area, these variables can change the transfer of certain Knowledge, generating value through policy, innovation, and technology development [5]. There are gaps in the literature for understanding TH contextual factors for knowledge transfer, as well as innovation systems, and our paper helps fill this gap by examining the factors that exist to shape innovation systems [8,4]
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