scholarly journals Synergy in Knowledge-Based Innovation Systems at National and Regional Levels: The Triple Helix Model and the Fourth Industrial Revolution

Author(s):  
Loet Leydesdorff

Different from national systems of innovation, a knowledge-based economy is grounded in the volatility of discursive knowledge enabling us to specify expectations. Expectations can be improved by testing against observations. Furthermore, expectations can differently be codified; for example, in terms of market perspectives and technological opportunities. The Triple Helix of university-industry-government relations provides first a (neo-)institutional model. However, three functions are recombined at the systems level in each instantiation: wealth generation (by industry), novelty production (academia), and legislation and regulation (government). The Triple-Helix synergy indicator enables us to use the institutional arrangements as instantiations of the knowledge-dynamics and thus to assess the generation of options and reduction of uncertainty in information-theoretical terms. The Fourth Industrial Revolution entails the transition to the reflexive entertaining of expectations in terms of models as increasingly the sources of innovations.

2019 ◽  
Vol 3 (2) ◽  
pp. 81
Author(s):  
Benny Kurnianto

Talking about human development, the topic that keeps existing in higher education is skill-gap between university and industry. The challenge is getting harder with shifting conditions in the globe including the issue of industrial revolution 4.0. This challenge has an immediate effect on the existence and the development of vocational academy such as Indonesian Civil Aviation Institute. Therefore, this study explores the changes that occur in as Indonesian Civil Aviation Institute as a result of higher education policy in Indonesia. This study uses SWOT analysis to examine the strategies taken by this university to encounter the issue. According to this research, there are dynamic changes in the relation between this university, government, and industry as the outcome of dissimilar interpretation of the issue.   References : Ayu, N.A.K. 2018. Peluang Social Innovation dalam Revolusi Industri 4.0: Bagaimana Perkembangannya di Indonesia. Yogyakarta: Forbil Institute Disas, E. P. Link and Match sebagai Kebijakan Pendidikan Kejuruan. Jurnal Penelitian Pendidikan, 18(2), 231-242. Etzkowitz, H., & Leydesdorff, L. 1995. The Triple Helix – University Industry Government Relations: A Laboratory for Knowledge Based Economic Development. EASST Review 14, 14-19. Etzkowitz, H., & Leydesdorff, L. 2000. The Dynamics of Innovation: From National Systems and '‘Mode 2'’ to a Triple Helix of University -Industry - Government relations. Research Policy, 29(2), 109-123. Izzati, MF & Wilopo. 2018. Implementasi Triple Helix Dalam Mendorong Pertumbuhan Industri Kreatif Di Kota Malang Sebagai Upaya Peningkatan Daya Saing Untuk Menghadapi  Masyarakat Ekonomi Asean. Jurnal Administrasi Bisnis (JAB)Vol. 55 No. 1 Februari 2018 hal 59-68. McKinsey. 2015.  Industry 4.0 How to navigate digitization of the manufacturing sector. England: Stamford Senarath, S. A. C. L., & Patabendige, S. S. J. (2014). Job-education mismatch among the graduates: A Sri Lankan Perspective. Ruhuna Journal of Management and Finance, 1(2), 1-16. UNIDO. Industry 4.0: Opportunities and Challenges of the New Industrial Revolution for Developing Countries and Economies in Transition. Panel Discussion USDA. 2008. SWOT analysis a tool for making better business decisions. United States Department of Agriculture Risk Management Agency.


2021 ◽  
Vol 116 ◽  
pp. 00035
Author(s):  
Zulfia Magrupova ◽  
Kashamida Tazhibekova ◽  
Aigerim Shametova ◽  
Kulzira Abdraimova ◽  
Kyrmyzy Tursyngaliyeva

The article presents the results of research on innovation activity based on the analysis of the directions of innovative development of Kazakhstan and suggests a set of measures, the implementation of which will allow building a connected system of measures for the formation of an innovative ecosystem. The main focus is given to improving the efficiency of innovation activities based on an institutional approach, which is aimed at the formation of a stable system of relationships between participants in the innovation cycle, each of which is individually interested in improving competitiveness based on the use of innovations. The formation of an innovation ecosystem also includes the development of two innovation clusters as the basis for the formation of a knowledge-based economy. Based on the analysis provided, we concluded that the organization of innovative infrastructure did not provide the required pace of innovative development of Kazakhstan for a number of reasons. To date, the Republic has successfully implemented state programs that aim to create conditions for the transition to the fourth industrial revolution. The focus on innovative development remains important and mandatory for achieving the goals set out in the program documents.


ETIKONOMI ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 233-248
Author(s):  
Somariah Fitriani ◽  
Sintha Wahjusaputri ◽  
Ahmad Diponegoro

Triple helix model is a model of a knowledge-based economy, which collaborates with the university, business, and government sectors to help small and medium enterprises (SMEs) boost their business. The issue is the three actors have not yet synergized optimally in the development of SMEs. Hence, this study was to identify the critical success factors of the triple helix model for SMEs. This study employed a meta-ethnography and factor analysis to obtain components and indicators of the success factors. The result showed that 37 items of critical success factors have good content validity and excellent homogeneity reliability. Based on these success factors, a triple helix model consisting of six stages has developed. It indicates that these critical success factors make an essential contribution to the development and success of SMEs to achieve the goal of the program.JEL Classification: L52, L53


2019 ◽  
Vol 3 (2) ◽  
pp. 71
Author(s):  
Jusuf Nikolas Anamofa

Penelitian ini bertujuan untuk mengetahui pertumbuhan publikasi ilmiah para dosen di Maluku pada perguruan tinggi di bawah naungan Kementerian Pendidikan dan Kebudayaan. Metode yang digunakan adalah time series comparative terhadap data penelitian tahun 2017 yang dibandingkan dengan data penelitian tahun 2019. Variabel yang dibandingkan adalah jumlah dosen yang terdata dalam Pangkalan Data Pendidikan Tinggi, jumlah dosen yang terdaftar sebagai penulis terverifikasi pada portal SINTA, jumlah publikasi yang terindeks scopus, web of science, dan google scholar, jumlah sitasi, dan jumlah jurnal dari perguruan tinggi di Maluku yang terdaftar pada portal SINTA. Hasil penelitian menunjukkan peningkatan signifikan pada variabel-variabel tersebut meskipun beberapa PT mengalami stagnasi.       REFERENSI Ayu, N.A.K. 2018. Peluang Social Innovation dalam Revolusi Industri 4.0: Bagaimana Perkembangannya di Indonesia. Yogyakarta: Forbil Institute Disas, E. P. Link and Match sebagai Kebijakan Pendidikan Kejuruan. Jurnal Penelitian Pendidikan, 18(2), 231-242. Etzkowitz, H., & Leydesdorff, L. 1995. The Triple Helix – University Industry Government Relations: A Laboratory for Knowledge Based Economic Development. EASST Review 14, 14-19. Etzkowitz, H., & Leydesdorff, L. 2000. The Dynamics of Innovation: From National Systems and '‘Mode 2'’ to a Triple Helix of University -Industry - Government relations. Research Policy, 29(2), 109-123. Izzati, MF & Wilopo. 2018. Implementasi Triple Helix Dalam Mendorong Pertumbuhan Industri Kreatif Di Kota Malang Sebagai Upaya Peningkatan Daya Saing Untuk Menghadapi  Masyarakat Ekonomi Asean. Jurnal Administrasi Bisnis (JAB)Vol. 55 No. 1 Februari 2018 hal 59-68. McKinsey. 2015.  Industry 4.0 How to navigate digitization of the manufacturing sector. England: Stamford Senarath, S. A. C. L., & Patabendige, S. S. J. (2014). Job-education mismatch among the graduates: A Sri Lankan Perspective. Ruhuna Journal of Management and Finance, 1(2), 1-16. UNIDO. Industry 4.0: Opportunities and Challenges of the New Industrial Revolution for Developing Countries and Economies in Transition. Panel Discussion USDA. 2008. SWOT analysis a tool for making better business decisions. United States Department of Agriculture Risk Management Agency.


2019 ◽  
pp. 222-230
Author(s):  
Ebba Ossiannilsson

Today’s learning landscape differs greatly from that of a few years ago (Bates, 2015; Daniel, 2016; Mathes, 2019; Ossiannilsson, Williams, Camilleri, Brown, 2015). The main global challenges highlighted so far and affecting and influencing education are globalization, changing demographics and increasing digitization (Schwab, 2016). The United Nations’ UNESCO sustainability goals aim to meet these challenges (2015a; 2015b). In the field of education, the SDG4 focuses on education for all through its core areas of access, equity, equality, equality, inclusion and lifelong learning. Mobile learning is the first choice for most people today. The way learners learn is changing dramatically, due to the fourth industrial revolution, not just the way we learn, but also the way we live, perform, communicate, and interact (Schwab, 2016). Today, learning is possible anywhere, anytime and through any type of device. In the context of globalization and the knowledge-based economy, the quality of higher education is increasingly seen as strategically important for national economic development and competitiveness. High quality and relevant higher education provide students with the knowledge, skills and transferable core competences they need to succeed after graduation, in a high-quality learning environment that recognizes and supports good learning and teaching. The combination of educational technologies is both natural and demanding, so quality aspects must be taken into account (Bates, 2017, Daniels, 2016, Heurtas et al., 2018).


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