• World Technopolis Review
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• v.6 no.2
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• pp.148-158
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• 2017

Sejong City, which has been chosen as a new administrative capital of South Korea, has completed the first phase of its development plan with the construction of the facilities needed to accommodate central administrative organizations and the required accompanying population. Now, it is undergoing the second phase of development with a focus on strengthening the region's innovation capacity to catalyze endogenous development. The strategy for phase II is to establish a regional innovation system including building necessary infrastructure and attracting innovation agents such as universities, businesses, and research institutes. The first step for this is developing a research complex, tentatively named Tech Valley, that includes universities, research institutes, and businesses, and building infrastructure comprising a science complex, a knowledge industry center, and support facilities. Phase II of the city's development initiative includes the establishment of a joint university campus, which is to serve as a center to promote cooperation among industry actors, universities, and research institutes. The concept of a joint campus has been drawn from a need to enhance capacity for innovation and specialization in the region's industries and to maximize synergy among participating universities through the sharing of research equipment, facilities, and programs. The joint campus is expected to play a key role in creating an innovation system in the region by enhancing research capacity for strategic industries, cultivating highly skilled human resources, and leading industry-academia-research cooperation. In order to ensure the sustainable development of the new city, there is a growing need to have a main player in place that could lead the region's economic development. The joint campus will propel industrial specialization and serve as a catalyst to attract competent universities to the region. This paper will examine the concept, major functions, and the establishment and operation of the joint campus.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.555-563
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• 2020

The study seeks to investigate the relationship between knowledge sharing and innovation in garment and textile enterprises. While previous research has found many factors influencing knowledge sharing, little research has been done about the influence of knowledge sharing on innovation in enterprises in developing countries like Vietnam. In particular, the textile industry plays an important role in export, but outsourcing is accounting for a high proportion of trade; it is necessary to increase innovation in order to increase the competitive advantage by internal capacity. The data is collected from a survey of 245 employees at 20 textile and garment enterprises in Vietnam to study the knowledge sharing influence on innovation. The methodology includes pilot study and quantitative method. The pilot study tests the questionnaire on the respondents. The quantitative method applies SEM analysis to measure the knowledge sharing influence on innovation. The results identify eight factors that positively impact knowledge sharing: rewarding, teamwork, management support, joy of knowledge sharing, communication, trust, commitment, and information technology. This study also shows that knowledge sharing affects innovation. The main findings are discussed for textile and garment enterprises to apply innovative capacity in the context of increasing global integration.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.4
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• pp.23-27
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• 2014

The authors emphasize that the Republic of Kazakhstan is characterized by significant differences in the level of innovation capacity of regions. This article summarizes that the result of the monitoring of innovation potential of the regions are prerequisites for innovation policy adjustments, make it more dynamic, which ultimately contributes to its effectiveness. So, there are substantial differences in the level of innovation potential of the regions in the Republic of Kazakhstan, meanwhile it is noted that most regions' innovative features and potential can be assessed as average. After analysis of previously used methods, it can be concluded that the ranking of the level of innovation potential of regions takes place in the following order: High level of innovative potential: East Kazakhstan (3 matches), Almaty city (2 matches), Pavlodar (2 matches) and Zhambyl regions (2 matches); Low level of innovative potential: Almaty (2 matches), Mangistau (2 matches), West Kazakhstan (2 matches), Kyzylorda oblast (2 matches). In conclusion, it is emphasized that monitoring of innovative potential of regions creates the preconditions for innovation policy adjustments. These adjustments make the policy more dynamic and contribute to its effectiveness in the long run.

• Journal of the Korea Safety Management & Science
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• v.23 no.1
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• pp.81-94
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• 2021

In SMEs, technological innovation is recognized as an important tool in terms of sustainable growth. This study analyzed the determinants of technological innovation by using the information of the corporate panel DB composed of local SMEs. The internal factors were added with technological innovation capacity and production capacity and the industrial cluster environment was first applied to external factors. Also, whether the industrial cluster environment influences technological innovation through R&D capabilities, the mediating effect was tested with the Sobel Test. Among the internal and external factors, the most important determinant was marketing ability, and a policy was proposed to develop measures to increase R&D capability with mediating effect. Among the technological innovation variables, which are dependent variables, the most determinant factor was the proportion of new product sales. For this, it is considered that additional research such as longitudinal research with the concept of repetition and parallax using the corporate panel DB is necessary.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.103-130
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• 2018

It is generally understood that clusters are the promoters of innovation and therefore, the attention of researchers has been increasingly to discern the factors driving innovation among the firms in a cluster, especially in a high-tech cluster. In this study, we identify the variables capturing the nature of a firm that possibly impact the absorptive capacity of a firm and subsequently ascertain their impact on the degree of interactions between a firm, and other firms and associated institutions within and outside a cluster, respectively. Furthermore, we probe the influence of these interactions as a whole on firm-level innovation. The study was carried out in the context of Bengaluru, which houses the densely interconnected network of innovation-intensive high-tech manufacturing firms forming a high-tech manufacturing cluster. Data were drawn from 101 high-tech manufacturing firms belonging to electronics, machine tools, electrical and pharmaceutical industries. Based on the cluster analysis and subsequent graphical analysis on each of the three profiled clusters, it was found that size and origin of a firm have significant impact on the degree of firm's interactions. In turn, higher dynamism of firms in terms of degree of interactions led to higher innovation performance.

• International Journal of Knowledge Content Development & Technology
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• v.12 no.3
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• pp.79-99
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• 2022

South Korea is at an important juncture in its history to decide whether to continue its investment to become a first-mover of artificial intelligence (A.I.) platform technology or stay as a fast follower. This paper compares South Korea's A.I. platform capacity to that of the United States, China and the European Union by reviewing publicly opened documents and reports on AI platform strategies and policies using the three elements of the national innovation capacity: common innovation infrastructure, cluster-specific conditions, and quality of linkages. This paper found three major areas the South Korean government can focus on in the A.I. platform industry. First, South Korea needs to increase its investment in the A.I. field and expand its public-private collaboration activities. Second, unlike the U.S. and the U.K., South Korea lacks data protection policies. Third, South Korea needs to build a high-performance system and environment to experiment with artificial intelligence technology and big data.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.219-241
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• 2014

In general, Innovation Systems consists of actors, institution and network. And mutual learning through the innovation capacity is to be increased, which ultimately evolved through innovation that explains the system itself. In this study, Senior Friendly Industry in Korea for 'Innovation systems formation and evolution of the process' a dynamic perspective. The purpose of this paper is to provide suggestions that innovation policy implications for technological innovation in this sector or similar industry like a health industry, environment industry and etc. Study, a new type of formation and the evolution of the innovative system was confirmed. As the Senior Friendly Industry is a new case for innovation studies, our study may provide new research opportunities to the academia.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.404-408
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• 2021

The role of innovation in economic growth and development is extensively recognized today. Innovations allow firms to stay ahead in a competitive environment while also playing a leading role in developing a nation or a region. The capacity to solve critical problems depends on the generation of innovations. Innovations are more important for a developing nation as only through them, they can find appropriate solutions to the issues unique to their context. A robust roadmap that fosters and nurtures innovations in a country has thus become an essential aspect of public policy. In this context, the book The Black Box: Innovation and Public Policy in India by Prof. Rakesh Basant provides an overview of the innovation landscape in India and the challenges it faces in building a robust entrepreneurial and innovation ecosystem in the country. The author provides an extensive analysis of different actors within India's innovation system and recommends policy initiatives to boost and foster innovation.

• World Technopolis Review
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• v.4 no.2
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• pp.46-61
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• 2015

There is an implicit assumption in most regional innovation policy studies that once a policy has been made the policy will be implemented. This assumption is not valid for regional innovation policies formulated in many countries. This assumption rests upon certain political and organization conditions. It is frequently said that regional innovation system in Korea is one of the successful cases because of properly established institution for the implementation of innovation policies. The components of institution for innovation are defined in this article. For the analysis of institution for regional innovation system in Korea, three aspects such as organization, policies & programs, and governance structure were taken into account. Institution for regional innovation system in Korea is analyzed with three aspects: (1) organization for policy implementation, (2) innovation policy, and (3) governance structure. Firstly, organizations for innovation in Korea are composed of three categories such as organizations for policy formulation, organizations for policy implementation and agencies for coordination. Secondly, there are two categories of policies for innovation: (1) policies for the enhancement of national competitiveness and policies for the regional innovation capacity building, and (2) policies for fostering manpower and policy for regulatory reform. Thirdly, innovation governance in Korea is composed of three layer structure: (1) top level governance which is composed of two committee, three ministries and two agencies, (2) local level governance such as one innovation related offices and one center for regulatory reform, and (3) one category of agency for coordination as a regional platform.

• Journal of Venture Innovation
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• v.6 no.1
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• pp.115-137
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• 2023

This study analyzed the relationship between organizational innovative capability and absorptive capacity, market and technology orientations, and their impact on business performance for IT-BPO companies that are required to absorb new technologies from a leading perspective in the digital transformation era. To achieve this, an online specialized research company and offline surveys were conducted on 291 domestic IT-BPO companies, and SPSS 23 was used for descriptive statistics and reliability analysis while AMOS 23 was used for hypothesis testing including validity and mediating effects. The main findings were as follows: First, in the relationship between innovation and absorptive capabilities and Market Orientation Strategic(MOS), learning capability and knowledge network capability were found to have a statistically significant positive (+) effect on MOS. In the relationship between innovation and absorptive capabilities and Technology Orientation Strategic(TOS), R&D capability, potential absorptive capacity, and realized absorptive capacity had a statistically significant positive (+) effect on TOS. Second, in the relationship between innovation and absorptive capabilities and BP, only R&D capability was found to have a significant effect on BP. Third, both market orientation and technology orientation were found to have a significant positive (+) effect on BP. These findings suggest that effective competency factors can be identified according to the market and technology orientations pursued by IT-BPO companies to increase their growth and value creation, and provide implications for developing differentiated competency enhancement strategies based on strategic objectives.