• 기술혁신연구
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• 제23권3호
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• pp.255-286
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• 2015

본 연구는 구매자-공급자 간 협력에 기반을 둔 기술혁신 성과창출에서 공급자 조직 학습역량의 역할에 초점을 두고 있다. 이를 위해 본 연구는 국내 제조업에 종사하고 있는 중소기업 221개사를 이용하여 매개효과분석을 수행하였다. 실증검증 결과, 공급자의 기술혁신 성과에 대한 구매자의 직접지원(기술인력 지원, 기계도구 및 검사장비 지원, 설비사용 교육)은 통계적으로 유의하지 않았지만, 구매자의 간접지원(지식, 노하우, 가치, 정보 공유)은 긍정적이며 유의한 효과를 갖는 것으로 나타났다. 매개효과분석을 위한 추가 검증 결과, 공급자의 학습역량과 구매자의 간접지원 사이에 부분 매개효과가 존재한 반면에 구매자의 직접지원과 공급자의 학습역량 간에는 완전 매개효과가 존재하는 것으로 나타났다. 이 연구결과는 구매자의 간접지원이 공급자의 기술혁신 성과를 향상시키는데 더욱 중요한 역할을 할 수 있음을 제시한다.

• International Journal of Knowledge Content Development & Technology
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• 제12권3호
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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.

• Fisheries and Aquatic Sciences
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• 제27권3호
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• pp.195-205
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• 2024

Amphipoda is a benthic fauna occupying aquatic environments that can be used as a live feed for mud crabs. The abundance of amphipods in the water is thought to impact the preying capacity of crablets, which in turn will affect their growth performance. This study aims to determine the preying capacity of the crablet stage of Scylla tranquebarica exposed at different densities (20, 30, and 40 amphipods / 0.5 L) of amphipod, Grandidierella megnae. The preying capacity was estimated by counting the number of amphipods ingested by an individual crablet during the 60-day rearing period. The main parameters measured were daily consumption rate (DCR), Cumulative molting (CM), Feed conversion ratio (FCR), and the specific growth rate of weight (SGR-W). The results showed that the DCR and FCR were not affected by amphipod densities but the higher the amphipod density the higher the SGR-W and CM. Based on this study, 30 amphipods / 0.5 L is recommended as the optimal density to optimize the DCR and improve the growth performance of crablets. It is also proposed that surplus live feed will potentially reduce the cannibalism rate of crablets during weaning. However, more research needs to be carried out to elucidate the benefits of crablet-feeding amphipods in communal systems.

• Asian Journal of Innovation and Policy
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• 제7권1호
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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.

• 한국산학기술학회논문지
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• 제19권3호
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• pp.75-82
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• 2018

최근 신흥개발국들은 한국형 경제개발 정책에 관심을 갖고 한국의 지역혁신 모델을 접목하고자 노력하고 있다. 한국도 신흥국의 수요에 맞추어 지역혁신 모델을 수출하고 해당국과 경제협력을 강화하는데 관심이 있다. 본 연구는 신흥국에 대한 한국형 지역혁신모델 전수사업을 분석하고 정책을 제시하고자 한다. 이를 위해 태국, 키르키즈공화국, 베트남, 멕시코 등 신흥 4개국의 혁신기관 실무자들이 공동학습 - 네트워크- 상호작용 활동에 참여하는 행태를 표적집단면접법에 의해 분석하였다. 한국의 혁신기관에서 제공하는 전수사업에서 현지국가 혁신주체의 초기 활동을 분석한 결과, 전수사업의 연수 시간과 이후 현지인들에 의한 자체 공동학습 참여율의 관계는 가장 밀접한 상관관계 (0.975)가 있음을 발견하였다. 그러나 이들의 자체 공동학습과 현지의 네트워크 참여율의 상관계수는 다소 낮아 (0.667), 현지에서 공동학습을 네트워크로 연결하는 정책이 필요하다. 네트워크 참여율과 혁신주체의 상호작용 참여율은 높은 상관관계 (0.950)로 나타나, 네트워크 구축이 지역혁신 모델의 관건이라는 것을 보여준다. 본 연구는 교육과 컨설팅 형태의 연수보다는 현지의 혁신 네트워크 활동을 촉진하는 사업을 추천한다. 본 연구는 충남테크노파크의 사례와 같이 혁신주체들이 스스로 학습 네트워크를 구축하여 지역에 맞는 혁신모델을 창출하고 지역혁신플랫폼을 직접 운영하는 단계까지 추진하는 전수사업 정책을 제안한다.

• 기술혁신연구
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• 제26권4호
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• pp.173-198
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• 2018

본 연구는 세계 42개국의 자료를 사용하여 산업용 로봇 도입의 결정요인을 분석하고, 한국에서 산업용 로봇이 빠르게 확산되고 있는 원인을 진단하였다. 산업용 로봇 변수는 국제로봇협회(IFR)의 2001년-2016년 "World Robotics: Industrial Robots" 자료를 사용하였다. 설명변수는 노동시장환경 변수와 혁신역량 변수를 포함하며, 관련 변수들은 해당 국제기관들의 자료에서 추출하였다. 실증분석에는 일부 설명변수의 내생성을 통제하기 위해 Arellano-Bond 동적 패널분석을 사용하였다. 분석결과, 한국은 소득수준이나 고용비용 및 혁신역량 등을 고려하더라도 다른 국가들에 비해 산업용 로봇 도입이 매우 빠르게 확대되어 온 것을 확인할 수 있었다. 이는 수요 측면과 공급 측면 모두에서 그 원인을 찾을 수 있다. 즉, 고용비용 증가 등의 노동시장환경 변화가 산업용 로봇 도입에 대한 기업 수요를 견인하였으며, 경제 전반의 자본집약도 증가와 기업의 혁신역량 증대와 같은 공급 측면 요인 또한 산업용 로봇의 도입을 촉진시켰다.

• World Technopolis Review
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• 제5권1호
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• pp.71-82
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• 2016

This paper explores, explains and describes a framework for analyzing collaborative governance, decent work and innovation as fundamental elements of sustainable workplaces through case study of Philippine science and technology (S & T) parks. Rules, or the legal infrastructure, are particularly significant considerations that facilitate or hinder collaboration. Industrial relations/human resource (IR/HR) practices are essential to collaboration and decent work. Employee consultation and labor-management council or committee are examples of IR/HR practices that might contribute to collaboration and decent work in firms and workplaces in S & T parks as they are team approaches to production, too. Collaboration and decent work enhance the capacity to innovate. In the long run, collaborative governance, decent work and innovation tend to converge in the concept of sustainable development. The interdependencies and interactions among collaborative governance, decent work and capacity to innovate in firms operating in S & T parks make possible new solutions to new problems (i.e., innovation) and, thus, sustainable workplaces.

• World Technopolis Review
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• 제2권2호
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• pp.81-95
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• 2013

This paper seeks to build on previous work conducted by Porter, Devol, Florida, Bahrami and Evans, Wennberg and Lindqvist, and others contained in the literature, to construct a new way of looking at innovation cluster development. It seeks to describe the key elements contained in the research that serve as building blocks for innovation clustering, adding analysis dimensions that aim to further illuminate understanding of this process. It compares those building block characteristics to the innovation topography of U.S. urban centers, to shed light on a new framework through which urban innovation cluster formation can be considered. It identifies three building block analysis categories: 1) Technological Capability and Capacity (TCC); 2) Intellectual Propulsion Capacity (IPC); and 3) Structural Creative Inspiration (SCI). These three pillars form the architecture for creation of a Strategic Innovation Network (SIN), upon which clustering can be systematically analysed and built. The purpose of the SIN is to optimally organize and connect all available resources that include physical, financial, and human, such that innovation clustering is inspired, encouraged, nurtured, and ultimately constructed as fully functioning socio-economic organisms that provide both local and regional benefits. It is designed to aid both private enterprise and public policy leaders in their strategic planning considerations, and to enhance urban economic development opportunities.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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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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• 제1권4호
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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.