• World Technopolis Review
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• v.6 no.2
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• pp.113-129
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• 2017

Universities are considered important actors and drivers of socio-economic development in the regional innovation eco-system. This article investigates the role Kenyan universities and research institutes play in the development of regional innovation eco-system in the context of triple and Quadruple helices. A model involving Government, Industry, Universities and Society (Public) linkages in the regional innovation eco-system and with Information and Communication Technology as an enabler is used as a framework for analysing the nature of linkages in Kenya. The article uses literature review and case study methods to examine how universities and research institutes can spur the development of the innovation eco-systems. The research question is: what is the role of Kenyan universities and research institutes in spurring innovation ecosystems? Six cases of Kenyan universities and research institutes are considered in the light of Government Policy on Science, Technology and Innovation (STI) which is underpinned in Kenyan constitution 2010. The study contributes to the understanding of how deep collaboration among universities, government, research institutes, Science Cities, local, regional, national and international players spurs the creation of world-class innovation ecosystems which can contribute to regional development in developing countries like Kenya.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.29-43
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• 2017

Innovation Cosystems are Conceptualized as Organizational Networks of Economic Actors, Technologies and Social Contexts that Interact for Knowledge Production, use, and Adaptation. This Paper Proposed a Conceptual Framework to Describe Value Co-creation of Organizational Networks Engaged in Technology Innovation. We Adopted Theory-Based Approach by Integrating the Perspective of Service-Dominant (S-D) Logic Into the Evolutionary Model of the Triple Helix. The Framework Gives a Plausible Explanation on how Actors Collaborate to Create Value in Dynamic Contexts of an Innovation Ecosystem. The Innovation Ecosystem can be Considered as a Composite of Sub-Ecosystems, Including Knowledge, Sectoral, and Business Ecosystems. When these Sub-Ecosystems are Recursively Transformed by Coordination of Functional Mechanisms that Serve Value Co-creation in the Innovation Process, the Innovation Ecosystem will be Re-Organized and Evolve. The case of the Digital Living Network Alliance (DLNA) was Examined to Demonstrate the Fundamental Mechanisms for Value Co-creation that was Described in the Framework. The case Study Indicates Features of Value Co-creation when Implementing Innovation in Organizational Networks.

• STI Policy Review
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• v.7 no.2
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• pp.35-59
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• 2016

The strategic importance of innovation ecosystems has received increased attention from both the academic and policy perspectives. However, there is only limited empirical evidence on the importance of these ecosystems from the perspective of younger firms. This study focuses on the role of ecosystems for young innovative companies (YICs) and is based on a unique set of phone survey data from Finland and South Korea. The results are threefold: (1) Finnish YICs participate more actively in ecosystems than Korean YICs; (2) on average, Korean YICs report to have experienced lower ecosystem impact compared to Finnish YICs; (3) in both countries, key organizations of the ecosystems are represented on the board of directors in about one-third of the sample firms.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.30-54
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• 2018

Tech start-ups and their ecosystems are gaining increasing prominence globally and so are in India, due to their potential to contribute to employment generation, innovations, productivity, national income and exports. Against this backdrop, this article analyzes the key characteristics of tech start-ups relative to traditional start-ups and modern start-ups in India. Further, the salient features of tech start-up promotion policies initiated by the government of India and government of Karnataka as well as the current regional and sectoral distribution of start-ups is elucidated. Subsequently, the structure and components of entrepreneurial ecosystems currently under evolution in the metro cities of India are examined. Finally, the key factors contributing to the growth of different ecosystem components and its implications for the future growth of tech start-ups are outlined.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.155-158
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• 2021

Entrepreneurial ecosystem is a very active area of research both conceptually and empirically, yet most literature that emerged over the last two decades predominantly pertain to developed economies. At the same time, transitioning and emerging economies have continued to grow rapidly, making a strong case to study entrepreneurial ecosystems in emerging economies (Bruton et al., 2018). Ecosystems are broad constructs and the constitutive elements of an ecosystem are themselves complex (Stam, 2015). Hence exploring key elements of the ecosystem in depth to understand the mechanisms of how entrepreneurship is supported through intermediary organizations like incubators is a fruitful exercise. In this context, we review the book "Technology Business Incubators in India Structure, Role and Performance" which is a timely synthesis for academic researchers and practitioners, looking to explore the topic as it pertains to emerging economies. The book is part of the De Gruyter Studies in Knowledge Management and Entrepreneurial Ecosystems series, that covers pertinent ecosystems issues around universities, and sustainability by leading authors.

• Asian-Australasian Journal of Animal Sciences
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• v.33 no.1
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• pp.44-52
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• 2020

Objective: Minerals are one of the important nutrients for supporting the growth of sheep grazing in the highland, northwest of China. The experiment was conducted to investigate the relationship of both macro and micro minerals in sheep grazing in the highlands of six districts located in the Qilian Mountain of China. Methods: Samples of herbage (n = 240) and soil (n = 240) were collected at random in a "W" shape across the area designated for harvesting from 24 farms, where the sheep commonly graze in October (winter) for mineral analyses. In addition, serum samples were taken via jugular vein from 20 sheep per farm from 24 farms (n = 480 samples in total) for serum minerals analyses. Mean values of macro and micro minerals were statistically compared among districts and the correlations among soil-plant-animal were statistically analyzed and correlations were regressed, as well. Results: The results revealed that there were variations for both macro and micro minerals among districts. Statistical analysis of the correlation coefficients between herbage and sheep were significantly different for most of the minerals but not for P, Cu, and Se. Many correlation regression coefficients were found significantly different among minerals of herbage, soil, and sheep serum especially those of K, Na, Fe, Mn, and Zn (between herbage and sheep serum), and Fe and Mn (between herbage and soil), Na, Fe, Mn, and Zn (between soil and sheep serum), respectively. The regression coefficient equations derived under this experiment for prediction of Ca (R² = 0.618), K (R² = 0.803), Mg (R² = 0.767), Na (R² = 0.670), Fe (R² = 0.865),Zn (R² = 0.950), Mn (R² = 0.936), and Se (R² = 0.630), resulted in significant R² values. Conclusion: It is inferred that the winter herbage minerals in all the districts were below the recommended levels for macro minerals which indicated there would be some mineral deficiencies in sheep grazing the herbage in these regions. Supplemental minerals may therefore play an important role in balancing the minerals available from the herbage in winter and would lead to increased productivity in sheep on the highland areas of China. These findings could be potentially applied to the other regions for improving the livestock productivity.

• World Technopolis Review
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• v.5 no.1
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• pp.47-60
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• 2016

In today's digital non-linear global business environment, innovation initiatives are influenced by inter-organizational, political, economic, environmental, technological systems, as well as by decisions made individually by key actors in these systems. Network-based structures emerge from social linkages and collaborations among various actors, creating innovation ecosystems, complex adaptive systems in which entities co-create value. A shared vision of value co-creation allows people operating individually to arrive together at the same future. Yet, relationships are difficult to see, continually changing and challenging to manage. The Innovation Ecosystem Transformation Framework construct includes three core components to make innovation relationships visible and articulate networks of relational capital for the wellbeing, sustainability and business success of innovation ecosystems: data-driven visualizations, storytelling and shared vision. Access to data facilitates building evidence-based visualizations using relational data. This has dramatically altered the way leaders can use data-driven analysis to develop insights and provide ongoing feedback needed to orchestrate relational capital and build shared vision for high quality decisions about innovation. Enabled by a shared vision, relational capital can guide decisions that catalyze, support and sustain an ecosystemic milieu conducive to innovation for business growth.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.1-8
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• 2018

• Asian Journal of Innovation and Policy
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• v.7 no.3
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• pp.457-460
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• 2018

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.175-204
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• 2017

The existing innovation policies and strategies mainly focused on the influencing factors for improvement of innovation outcome. However, these strategies were not always successful in driving innovative activities that make technology innovation disseminated. In this regard, innovation ecosystems approach has recently been coming to the force to establish a successful innovation strategy. The innovation ecosystems concept describes that innovation processes are evolved through collaborative networks of economic actors. In an innovation ecosystem, different organizations collaborate for technology development and its use. They interact for value co-creation by sharing mutual resources. The organizational networks are re-organized by dynamic changes of actors' interactions, which drive innovation mechanism of the networks. Recent studies on innovation ecosystems mostly have paid attention on developing theoretical frameworks to describe dynamics of an innovation ecosystem. There have hardly been empirical tests on the theoretical ecosystem models. In this vein, we investigated dynamics of an innovation ecosystem by analyzing structural characteristics of a collaborative network among organizations which are involved in the use of innovative technologies. Particularly, we examined the longitudinal changes of the interaction patterns among the organizations. This test was performed by an analysis of structural equivalence on the network dataset transformed from the organizational interactions. This result provides a guideline for an organization in developing an innovation strategy under a systemic perspective.