• Asian Journal of Innovation and Policy
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• v.11 no.3
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• pp.293-319
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• 2022

By analyzing the adaptive capacity, market formation and policy direction as functional areas of Technological Innovation System (TIS), the article evaluates the progress of renewable energy transition in the Maldives, with the inclusion of ideas from Mauritius and Cabo Verde. On the policy direction in the Maldives, technology roadmaps produced with assistance from International Renewable Energy Agency (IRENA) and Asian Development Bank (ADB) are evaluated. Although there are inducing factors such as the Solar Risk Management Initiative, the progress of energy transition is hindered by the lack of technical capacity and local value chain. The findings indicate the importance of facilitating and establishing industry and knowledge networks, incorporating innovation policies, greater involvement of the local private sector along with international investors, and taking water-energy nexus to achieve complementary targets. The study adds value to knowledge by offering a simplified TIS framework, with a current insight of the energy transition in Small Island Developing States with a focus on the Maldives.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.605-628
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• 2007

We analyze the embedded structure of the cooperative research network of innovation studies in Korea by employing the social network methodology. The network covers all the contributing authors of two journals such as JTI and KTIS, which are the representative journals in the area. Across the networks, the following is noted: networks are highly segmented and the link density is low. However, the KTIS network contains a huge component with 131 authors which implies the existence of a strong cooperative research infrastructure. We derived three sub-networks such as technology economics, technology management, and technology policy. The technology policy network has the lowest link density, while the technology management network of KTIS shows relatively high cohesion among the researchers. Simulation analysis for the mean links of networks by author affiliation divided into university and others show no significant difference between the two networks. We also found a higher ratio of linkage within affiliated network than between networks, rejecting our hypothesis that researchers will not discriminate their research partners due to strong governmental inducement of academia-res each-industry cooperation. The explainability of indices from network structure such as structural holes and clustering coefficients on the performance of researchers measured by the number of citations confirms the results reported in Oh, Choi & Kim (2006) which dealt with the research network of information systems.

• Journal of Communications and Networks
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• v.16 no.2
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• pp.227-237
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• 2014

Throughput scaling laws for two coexisting ad hoc networks with m primary users (PUs) and n secondary users (SUs) randomly distributed in an unit area have been widely studied. Early work showed that the secondary network performs as well as stand-alone networks, namely, the per-node throughput of the secondary networks is ${\Theta}(1/\sqrt{n{\log}n})$. In this paper, we show that by exploiting directional spectrum opportunities in secondary network, the throughput of secondary network can be improved. If the beamwidth of secondary transmitter (TX)'s main lobe is ${\delta}=o(1/{\log}n)$, SUs can achieve a per-node throughput of ${\Theta}(1/\sqrt{n{\log}n})$ for directional transmission and omni reception (DTOR), which is ${\Theta}({\log}n)$ times higher than the throughput with-out directional transmission. On the contrary, if ${\delta}={\omega}(1/{\log}n)$, the throughput gain of SUs is $2{\pi}/{\delta}$ for DTOR compared with the throughput without directional antennas. Similarly, we have derived the throughput for other cases of directional transmission. The connectivity is another critical metric to evaluate the performance of random ad hoc networks. The relation between the number of SUs n and the number of PUs m is assumed to be $n=m^{\beta}$. We show that with the HDP-VDP routing scheme, which is widely employed in the analysis of throughput scaling laws of ad hoc networks, the connectivity of a single SU can be guaranteed when ${\beta}$ > 1, and the connectivity of a single secondary path can be guaranteed when ${\beta}$ > 2. While circumventing routing can improve the connectivity of cognitive radio ad hoc network, we verify that the connectivity of a single SU as well as a single secondary path can be guaranteed when ${\beta}$ > 1. Thus, to achieve the connectivity of secondary networks, the density of SUs should be (asymptotically) bigger than that of PUs.

• Journal of Communications and Networks
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• v.18 no.5
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• pp.784-795
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• 2016

In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.

• Journal of Technology Innovation
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• v.15 no.2
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• pp.211-235
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• 2007

The paper establishes a policy classification system in order to classify and evaluate the science and technological innovation policies in Korea. We rebuild an innovation system model based on the national innovation system(NIS) concept. The model consists of human capital infrastructure(HCI), institutional infrastructure(II), technological infrastructure(TI), technology market(TM), industrial organization(IO), and innovation networks(IN). We give these 6 components of the modified system 1-digit number, respectively. Then we build the sub-systems according to these components, classify the policy categories in more detail, and finally complete the 3-digit policy classification table. This policy classification table may be useful in studying the science and technological innovation policy in both theoretical and empirical aspects. For example, the table can be the tool to examine the program portfolio profile(PPP) or to implement the questionary survey on the actual policies.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.888-914
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• 2017

The main aim of this study is a meta-theoretical investigation to explain the current theoretical landscape of social innovation theories and researches. First of all, this paper makes a typology of social innovation based on concepts and sectors of social innovation. Second, in terms of societal innovation, which it is a kind of social innovation systematic approach, this paper draws some implications for social innovation policy. My key argument is that social innovation could be specified in three different sectors, public innovation, market innovation, and social economy innovation. However, all of them have attention to such as improving a quality of life and making society more sustainable, so it can be argued that those different sectors are structured on social innovation altogether with common goals. Finally, in order to activate the social innovation ecosystem, the government has to play a key role as a facilitator to make sustainable networks and a governance of social innovation that is needed to coordinate between different features and roles of social innovation sectors.

• 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.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.115-140
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• 2011

The fact that innovation activities of venture firms and start-ups play crucial role in driving industrial development and economic growth has significantly increased the importance of business incubator and techno-park which promote new businesses creations. This review paper aims at not only generating performance measurement index of business incubators but also categorizing performance determinants in accordance with three different theoretical perspectives of resource-based view, strategy patterns, and social networks. Futhermore, as future direction of research, this paper emphasizes structured research efforts on the critical effects of incubator's governance patterns, external and regional contexts, and analysis of government incubator policy.

• KDI Journal of Economic Policy
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• v.27 no.1
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• pp.211-238
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• 2005

Korea is far behind other OECD countries in economy-wise productivity: Korea's labor productivity in terms of GDP per hour worked is the lowest among OECD countries. Against the existing productivity gap, there is a worrying sign in Korea's investment trend - rapid fall in machinery and equipment investment with slow increase in R&D investment. The challenge facing Korea is how to transform her economy from catching-up model to a knowledge-based one. The paper shows that, in tandem with the structural changes that today's Korean industries are experiencing, industry's innovation system is also changing. Innovation networks are emerging as the result of economy-wise restructuring since the financial crisis of 1997 and, though still not a dominant force, the newly emerging innovation networks will be the main threads of industry's innovation activities in the future. The changes in industrial innovation system would positively contribute in raising the productivity of the Korean economy. The paper contains a case study on Korea's automobile industry in order to highlight some of main characteristics of the structural changes, in addition to a chapter that gives an overview of the evolutionary paths of the Korea's industrial innovation. The paper assesses that changes can be considered as a positive sign of future growth perspective; but there are further challenges to make the Korea's industrial innovation system effective. The list of such challenges includes strengthening upstream sectors of currently leading industries, expanding the innovation base to SME and promoting technological co-operation between domestic firms and foreign firms.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.49-71
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• 2000

This paper looks at "network" aspects of research and development (R'||'&'||'D) with a special focus on small and medium (S'||'&'||'M) automotive part makers in Korea. It throws light on recent changes in the technological capability building mechanism of Korean automotive firms. The Korean automotive firms have mostly built up technological capability from scratch. It is widely acknowledged that they have benefited from two cooperative relations: namely (1) the close cooperative relationship with their own assemblers and (2) technical assistance from auto parts makers abroad. Too much emphasis on these two links can, however, keep us from understanding new developments. This paper argues that auto parts firms have diversified their networks for technological development. It is based on the analysis of the data drawn from the survey on technological development activities of small and medium sized firms, which was carried out by the Korea Federation of Small and Medium Business. Many automotive firms have recently increased joint R'||'&'||'D links with university and/or research institution while their reliance on foreign sources have decreased.