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The Influences of Intellectual Property-based Entrepreneurship on major Entrepreneurial Performance (지식재산기반 창업의 효과 및 시사점: 주요 창업성과에 대한 특허기반 창업의 영향)

  • Chung, Doohee;Lee, Gyungpyo;Shin, Jaeho
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.3
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    • pp.1-11
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    • 2019
  • Based on the knowledge spillover theory of entrepreneurship(KSTE) and resource based view(RBV), this study examines that how patent based entrepreneurship impacts on improving key performances such as financing, firm innovation, sales, product selling growth, employment. This study which is conducted with data from 353 startup firms indicates that patent based entrepreneurship has positive effects on performance of financing, innovation, product selling growth, and employment. On the other hand, there is no effect of patent-based entrepreneurship on sales performance. This statistical results were the same The results were the same when the independent variables were measured as intensity of patent based entrepreneurship which indicates the rate of patent based product or service among total number of product or service of the startup company.

An Empirical Study on Continuous Use Intention and Switching Intention of the Smart Factory (스마트 팩토리의 지속사용의도와 전환의도에 관한 실증연구)

  • Kim, Hyun-gyu
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.2
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    • pp.65-80
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    • 2019
  • With the advent of the ICT-based 4th industrial revolution, the convergence of the manufacturing industry and ICT seems to be the new breakthrough for achieving the company's competitiveness and play a role on the key element for accelerating the revival of the manufacturing industry. When the smart factory is implemented, each plant can analyze the quantity of data collected, build the data-driven operation systems which can make decisions, and ultimately discover the correlation among many events in the manufacturing sites. As the customers' needs become diversified more and more, it is required for the company to change its operating method from large quantity batch production systems to customizable and flexible manufacturing systems. For performing this requirements, it is essential for the company to adopt the smart factory. Based on technology acceptance model (TAM), this study investigates the factors influencing continuous use intention and switching intention of the smart factory. To do so, a questionnaire survey is conducted both online and offline. 122 samples are used for the study analysis. The results of this study will provide many implications with many researchers and practitioners relevant smart factories.

University Mergers in Finland and Norway and Their Policy Implications (핀란드와 노르웨이의 대학 통폐합 사례 분석 및 정책적 시사점)

  • Chae, Jae-Eun;Byoun, Su Youn
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.61-69
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    • 2019
  • This study analyzed the process of university mergers that took place in Finland and Norway in order to present policy implications for the Korean government considering university merger as an effective policy instrument for restructuring of the Korean higher education system. Based on reviewing the previous literature and related documents, researchers conducted a comparative case study on the context, strategies, and outcomes of the implementation of university merger policies of the two countries. The results of analyses suggested that combination of government's clear direction-setting and enhanced autonomy of merging institutions was essential for successful mergers. Considerations on upgrading the structure of the whole higher education sector to meet new needs of the future society were also suggested.

An exploratory study on the collaboration mechanism in project-based business : focused on supply chain institutions and operational efficiency (프로젝트형 사업에서 협업기제에 대한 탐색적 연구 : 공급망 제도와 운영효율성을 중심으로)

  • Cho, Namhyung
    • Journal of the Korea Convergence Society
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    • v.10 no.10
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    • pp.173-183
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    • 2019
  • The purpose of research is to explore the direction of building a collaborative supply chain, which may enhance the competitiveness of firms and their project-based supply chain. Large-scale plants or large-scale buildings construction is referred to as a EPC project. To identify a collaboration mechanism in the project-based supply chain, the empirical research was conducted on the interrelationship between the absorption capacity of firms participating in the EPC project, the incentive norms, the goal congruence with supply chain, and the ability of respond to changes of the task of supply chain. PLS-SEM was used as an analysis method to verify the research model. It is expected that the results will help inform the need for SCM, the importance of the incentive norms and the goal congruence in the supply chain of EPC project.

A Study on the Trend of Korea's Media Press on National Competitiveness (국가경쟁력에 대한 한국언론보도 경향 연구)

  • Choi, Chul-ho;Chae, Young-gil
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.97-111
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    • 2019
  • This study discuss how the meaning and role of the state in the process of globalization are defined by the media and how the regulation is related to the ideology and value inherent in the process of globalization. Specifically, we tried to examine how the meaning and role of neoliberal state, which characterizes globalization process, is justified and reinforced by media. The purpose of this study is to understand the characteristics of the dominant globalization process inherent in the discourse of national competitiveness by analyzing how the national competitiveness index report released by the World Economic Forum is reported by the media every year. In addition, we sought to understand the significance and role of the state in the globalization process by examining what areas are emphasized and excluded from the national competitiveness index composed of economic infrastructure, economic efficiency, and enterprise innovation activities.

Implementation of Disease Search System Based on Public Data using Open Source (오픈 소스를 활용한 공공 데이터 기반의 질병 검색 시스템 구현)

  • Park, Sun-ho;Kim, Young-kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1337-1342
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    • 2019
  • Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service (인공지능 맞춤 추천서비스 기반 온라인 동영상(OTT) 콘텐츠 제작 기술 비교)

  • CHUN, Sanghun;SHIN, Seoung-Jung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.99-105
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    • 2021
  • In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.

Choice of Law in International Antitrust Law (국제카르텔분쟁사건의 준거법)

  • Kim, Yong-Jin
    • Journal of Legislation Research
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    • no.44
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    • pp.801-828
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    • 2013
  • This essay provides a legislative perspective on conflict-of-laws issues in the area of antitrust law. A consistent focus on the affected market question of applicable law is possible and yields content and acceptable results. The law applicable to damages claims should follow the law applicable to the antitrust relation itself. It is problematic, however, where more than one market is affected. In my view, the European perspective provides one general lesson for us. We are not yet prepared to accept american-style of class action in the field of antitrust law, at least until the european have made their legislative decision. Nevertheless we should make our antitrust system more effective, so that it would have strong deterrence to anti-competitive conducts. In this paper I present a proposal for adoption of a international conflict of law instrument, possibly a regulation, on damages actions for breach of art. 32 Korean Anti-trust Law.

A Study on the Multiplexing of a Communication Line for the Physical Load Balancing-Based Prevention of Infringement (물리적 부하 균형(Load-balancing) 기반의 침해방지를 위한 통신라인 다중화에 관한 연구)

  • Choi, Hee-Sik;Seo, Woo-Seok;Jun, Moon-Seog
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.1
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    • pp.81-91
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    • 2012
  • Presently in 2011, there are countless attacking tools oriented to invading security on the internet. And most of the tools are possible to conduct the actual invasion. Also, as the program sources attacking the weaknesses of PS3 were released in 2010 and also various sources for attacking agents and attacking tools such as Stuxnet Source Code were released in 2011, the part for defense has the greatest burden; however, it can be also a chance for the defensive part to suggest and develop methods to defense identical or similar patterned attacking by analyzing attacking sources. As a way to cope with such attacking, this study divides the network areas targeted for attack based on load balancing by the approach gateways and communication lines according to the defensive policies by attacking types and also suggests methods to multiply communication lines. The result of this paper will be provided as practical data to realize defensive policies based on high hardware performances through enhancing the price competitiveness of hardware infrastructure with 2010 as a start.

Developing Appropriate Inventory Level of Frequently Purchased Items based on Demand Forecasting: Case of Airport Duty Free Shop (수요예측을 통한 다빈도 구매상품의 적정재고 수준 결정 모형개발: 공항면세점 사례)

  • Cha, Daewook;Bak, Sang-A;Gong, InTaek;Shin, KwangSup
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.1-15
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    • 2020
  • The duty-free industry before COVID-19 has continuously grown since 2000, along with the increase of demand in tourism industry. To cope with the increased demand, the duty free companies have kept the strategies which focused on the sales volume. Therefore, they have developed the ways to increase the volume and capacity, not the efficient operations. In the most of previous research, however, authors have proposed the better strategies for marketing and supporting policies. It is very hard to find the previous research which dealt with the operations like logistics and inventory management. Therefore, in this study, it has been predicted the future demand of frequently purchased items in airport duty free shops based on the estimated number of departing passengers by the linear regression, which concluded with the appropriate inventory level. In addition, it has been analyzed the expected effects by introducing the inventory management policy considering the cost and efficiency of operations. Based on the results of this study, it may be possible to reduce total cost and improve productivity by predicting the excessive inventory problems at duty-free shops and improving cycles of supplying items.