• 제목/요약/키워드: Global research network

검색결과 865건 처리시간 0.025초

The Impact of Corporate Capabilities on Management Performance : Focusing on the Korean Distribution Industry during the COVID-19 Pandemic

  • Kil-Yong SEONG;Byoung-Goo KIM;Chun-Su LEE
    • 유통과학연구
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    • 제22권3호
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    • pp.105-112
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    • 2024
  • Purpose: This study analyzed the relationship between corporate capacity and management performance in the Korean distribution industry during the COVID-19 pandemic. Research design, data and methodology: The data for this study used the 2021 KOTRA GCL Test Data, and multiple regression analysis was performed using SPSS 26. As corporate competency, human capital and related capital of intellectual capital theory were utilized, and the global network level of social network theory was also utilized. As an additional analysis, corporate characteristics factors were used. Results: First, the level of global mindset of human capital acted as a positive factor in management performance, and the level of professional manpower did not achieve significant results. Second, related capital acted as a positive factor in corporate performance. Third, from the perspective of social network theory, the global network level of companies acted as a positive factor in management performance. Finally, the relationship between corporate characteristics and management performance was marginally significant. Conclusions: In order to improve the business performance of a company in a market shock such as the COVID-19 pandemic, it is required to strengthen the level of network construction with customers and increase the level of intellectual capital that a company has.

Self-organizing Feature Map을 이용한 이동로봇의 전역 경로계획 (A Global Path Planning of Mobile Robot by Using Self-organizing Feature Map)

  • 강현규;차영엽
    • 제어로봇시스템학회논문지
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    • 제11권2호
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    • pp.137-143
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    • 2005
  • Autonomous mobile robot has an ability to navigate using both map in known environment and sensors for detecting obstacles in unknown environment. In general, autonomous mobile robot navigates by global path planning on the basis of already made map and local path planning on the basis of various kinds of sensors to avoid abrupt obstacles. This paper provides a global path planning method using self-organizing feature map which is a method among a number of neural network. The self-organizing feature map uses a randomized small valued initial weight vectors, selects the neuron whose weight vector best matches input as the winning neuron, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. On the other hand, the modified method in this research uses a predetermined initial weight vectors, gives the systematic input vector whose position best matches obstacles, and trains the weight vectors such that neurons within the activity bubble are move toward the input vector. According to simulation results one can conclude that the modified neural network is useful tool for the global path planning problem of a mobile robot.

글로벌 가치사슬에서 전방참여와 후방참여가 소득불평등에 미치는 영향 (Participation in GVCs and Income Inequality)

  • 이가은;최영준
    • 무역학회지
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    • 제44권2호
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    • pp.269-282
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    • 2019
  • This study analyzes the effects of participation in the global production network on the income inequality using panel data from 2005 to 2016 for 63 countries. In this study were used fixed effects model with autocorrelation, random effect model with autocorrelation and the GLS method. Results are as follows: First, the economic development level supports the Kuznets hypothesis. And then, the forward participation in global value chains increased income inequality, and the backward participation decreased income inequality. In order to derive more detailed estimation results, we analyzed OECD countries and non-OECD countries. First, OECD countries featured decreased, but increased beyond a certain level as a U-shaped curve, that did not support the Kuznets hypothesis. In contrast, non-OECD countries followed the Kuznets U-curve. Second, participation in the global production network showed that both OECD and non-OECD countries featured increased income inequality. In contrast, backward participation appears to mitigate income inequality both in OECD and non-OECD countries. Finally, the ratio of labor and capital is significant in mitigating income inequality in non-OECD countries in which they feature backward participation in production networks. This can be interpreted as developing economies participate in the global production network due to increased capital accumulation and increased the labor productivity.

Extended artificial neural network for estimating the global response of a cable-stayed bridge based on limited multi-response data

  • Namju Byun;Jeonghwa Lee;Keesei Lee;Young-Jong Kang
    • Smart Structures and Systems
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    • 제32권4호
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    • pp.235-251
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    • 2023
  • A method that can estimate global deformation and internal forces using a limited amount of displacement data and based on the shape superposition technique and a neural network has been recently developed. However, it is difficult to directly measure sufficient displacement data owing to the limitations of conventional displacement meters and the high cost of global navigation satellite systems (GNSS). Therefore, in this study, the previously developed estimation method was extended by combining displacement, slope, and strain to improve the estimation accuracy while reducing the need for high-cost GNSS. To validate the proposed model, the global deformation and internal forces of a cable-stayed bridge were estimated using limited multi-response data. The effect of multi-response data was analyzed, and the estimation performance of the extended method was verified by comparing its results with those of previous methods using a numerical model. The comparison results reveal that the extended method has better performance when estimating global responses than previous methods.

초등학생들의 지구환경 인식에 대한 네트워크 분석 (The Sementic Network Analysis of Elementary Students' Perceptions about Global Environment)

  • 이상균;김순식
    • 대한지구과학교육학회지
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    • 제11권3호
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    • pp.212-223
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    • 2018
  • 본 연구의 목적은 초등학생들의 '지구환경'에 대한 인식을 조사하는데 있다. 연구방법은 '지구환경'에 대해 떠오르는 생각을 그림과 함께 그림에 대한 학생들의 설명에 나타난 지구환경 요소들을 언어네트워크 분석법을 사용하였다. 연구의 결과는 다음과 같다. 첫째, 학생들의 그림과 함께 그림에 대한 학생들의 설명을 분석한 결과 초등학생들은 '환경오염', '지구온난화', '쓰레기' 등과 같이 지구환경에 대해 부정적으로 인식을 하고 있었다. 둘째, 그림에 표현된 지구환경에 대한 이미지를 분석한 결과 우주적 관점보다는 일상적 관점에서 표현된 그림이 많았으며, 지구를 의인화하여 표현하는 경향이 있었다. 또한, 깨끗한 지구환경을 표현한 그림은 자연환경요소로 나무를 가장 많이 표현하였고, 바다, 산, 땅 꽁 등 다양한 자연요소로 건강한 지구를 표현하였다. 셋째, 지구환경에 대한 학년별 인식의 차이를 분석한 결과 학년에 따른 지구환경에 대한 인식의 차이는 크게 다르지 않다는 것을 알 수 있었다.

글로벌 경쟁력 강화를 위한 재일코리안 네트워크 형성 및 활성화 방안 (Building and Activation of Network of Korean Business Residents in Japan for Global Competitiveness)

  • 유경재;이영찬
    • 지식경영연구
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    • 제12권1호
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    • pp.77-89
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    • 2011
  • The purpose of this study is to examine the effects of social capital on the economic performance of Korean Business Residents in Japan and global competitiveness of Korea, and to find out social capital is the antecedent factor of these two variables. To serve the purpose of this study, we conducted the extensive survey on 153 Korean Business Residents in Japan in diverse industries. From the result, we identified that the economic performance becomes higher as the level of social capital increase, and the Korean Business Residents which has good performance affect the global competitiveness of Korea.

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정밀도로지도 기반 전역경로 생성을 위한 전처리 알고리즘 개발 (Design of Preprocessing Algorithm for HD-Map-based Global Path Generation)

  • 홍승우;손원일;박기홍;권석태;최인성;조성우
    • 한국ITS학회 논문지
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    • 제21권1호
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    • pp.273-286
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    • 2022
  • 자율주행 4단계 이상에서는 차량 스스로가 목적지까지 주행하기 위해 차선 단위의 전역경로를 생성하는 것이 필수적이며, 이를 위해 정밀도로지도 활용에 관한 연구가 활발히 진행되고 있다. 정밀도로지도 기반 전역경로 생성을 위해서는 정확한 링크 정보를 통해 도로 네트워크를 구축하는 것이 필수적인데, 현재 공개된 정밀도로지도는 이 부분의 구현을 어렵게 하는 다양한 오류를 포함하는 것을 볼 수 있다. 이러한 배경을 바탕으로 본 연구에서는 정밀도로지도 기반 전역경로 생성을 위한 링크 오류 개선 및 도로 네트워크 구축에 관한 연구를 수행하였다. 전역경로 생성에 치명적일 수 있는 오류를 검출하고 링크를 포함한 정밀도로지도의 정보들을 활용하여 도로 네트워크를 구축하는 전처리 알고리즘을 개발하였다. 제안하는 방법을 통하여 실제 정밀도로지도로부터 정확한 전역경로를 생성할 수 있는 것을 확인함으로써 본 연구의 유효성을 검증하였다.

수출기업의 공급사슬관리가 공급자 네트워크 대응성과 제품혁신 및 시장접근시간에 미치는 영향에 관한 연구 (A Study on the Impact of the SCM practices on the Supplier Network Responsiveness, the Product Innovation and the Market Access Time of Export Companies)

  • 최두원;박명섭;박진우
    • 무역상무연구
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    • 제71권
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    • pp.325-350
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    • 2016
  • As the new competitive environment become more global, technologically oriented and customer driven, as customers continually demand higher quality, faster response, and greater reliability of products and services, the new global market demands a more customer responsive behaviour by companies and firms have responded with innovative products and improved manufacturing processes to manufacture products. Further, the shift from traditional manufacturing and purchasing to JIT manufacturing and purchasing requires customers and suppliers to shift from adversarial relationships to strategic partnerships, and information sharing, so as to attain flexibility, reliability, and speed. SCM practices such as supplier collaboration and information sharing is considered as a key to attaining supplier network responsiveness and enhancing the product innovation and the market access time. The current research investigates the effect of SCM practices on supplier network responsiveness, the product innovation and the market access time of export companies. Thus by providing empirical evidence of the said relationships, this study offers useful guidelines for measuring and improving the supplier network responsiveness of a firm, facilitating further research in the area.

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코로나19 이후 공급사슬 리스크에 대한 현황연구: 네트워크 분석을 중심으로 (A Study on the Current Status of Supply Chain Risks after COVID-19: Focusing on Network Analysis)

  • 정의범;오건택
    • 한국산업정보학회논문지
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    • 제28권4호
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    • pp.77-92
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    • 2023
  • 본 연구는 코로나19 이후 공급사슬 리스크에 대한 주요 이슈와 연구 동향을 살펴보기 위해 해외 및 국내 저널을 바탕으로 키워드 네트워크 분석을 수행하였고, 뉴스와 기사를 대상으로 네트워크 텍스트 분석을 실시하였다. 선행연구에서 상대적으로 부족했던 코로나19 이후에 대한 공급사슬 리스크를 분석한 결과, 코로나19 이후 해외 및 국내 저널, 나아가 뉴스 기사에서 이전 선행연구와는 다른 공급사슬 리스크 회복, 대응 및 민생 등과 같은 연구 동향을 알 수 있었고, 기업에 있어 공급사슬 리스크에 대한 실무적 전략 및 통찰력을 제안할 수 있었다.

Co-occurrence 네트워크 분석을 활용한 외국인 관광객의 제주 문화관광자원 경험구조: 글로벌 OTA의 온라인 리뷰 및 평점을 대상으로 (Foreign Tourists' Experience Structure Visiting Cultural Tourism Resources in Jeju using Co-occurrence Network Analysis: Focused on Online Review and Grade of Global OTA)

  • 윤희정
    • 아태비즈니스연구
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    • 제15권1호
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    • pp.273-287
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    • 2024
  • Purpose - This study conducts the co-occurrence analysis, one of the social network analysis using global OTA's online reviews and grades in order to understand the experience structure of foreign tourists visiting cutural tourism resources in Jeju, Korea. Design/methodology/approach - For this purpose, this study selects 6 cultural tourism resources in Jeju as the study sites, and collects qualitative review data (noun, adjectives, and verb) and quantitative grade data. Findings - The co-occurrence network analysis between words and grade of market and street shows that the grade of 5 appears the most simultaneous with pork, buy, lot, try, fresh, black, food, price, seafood, local, market, good, street, etc. and the grade of 1 connects with small, dish, better, taste, etc. And the co-occurrence network analysis between words and grade of tradition and folklore shows that the grade of 5 appears the most simultaneous with village, place, museum, visit, time, life, culture, women, diver, use, lot, etc. and the grade of 1 connects with minute, spend, room, recommend, honey, etc. Research implications or originality - The above research results are relevant in order to find out the core experience of foreign tourists using online review and grade generated by foreign tourists and use as the important information to develop the strategies related to the planning and management of cultural tourism resources.