• 제목/요약/키워드: Business network

검색결과 2,937건 처리시간 0.031초

네트워크분석과정(ANP) 기법을 이용한 기술기여도 산정 및 기술가치 평가 (Study on Technology Value Evaluation & Contribution of Technology Using Analytic Network Process)

  • 서장훈
    • 대한안전경영과학회지
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    • 제10권3호
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    • pp.193-201
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    • 2008
  • As The development and commercialization of advanced technologies will depend increasingly on efficient technology transfer and technology trading systems and the knowledge economics grows rapidly, the value of intangible assets is more emphasized in business nowadays. Intangible assets include intellectual capital and intellectual property. This requires the development of technology markets or exchanges and hence a reliable technology valuation methodology. Our focus is on the business aspects of technology' contribution and we propose an objective scoring system, which is implemented by ANP, for Technology valuation of enterprise. As a result, This study intends to evaluate the contribution of an individual technology in intangible assets by the Analytic Network Process(ANP).

Comparative Research on Mobile Value Chains among China, Japan, and Korea

  • Lee, Hong-Joo;Li, Mingzhi;Iijima, Junichi;Kim, Jong-Woo
    • 한국전자거래학회지
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    • 제15권3호
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    • pp.147-162
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    • 2010
  • East Asian region, specifically China, Japan, and Korea, is considered as an area of advanced mobile handsets and mobile services. The well-established infrastructure of this region is well known due to rapid introduction of diverse feature-equipped handsets and advanced capabilities of mobile network operators. However, the status of mobile business has rarely been dealt with in previous studies. In this paper, we compare mobile value chains among these three countries. China has adopted open platform for mobile data services while Korea and Japan's mobile network operators control mobile portals for accessing diverse contents and services. We also discuss some possible reasons for the differences among the three countries in terms of value chain structures.

Development of intregrated process control system for plasma etching utilizing neural network and genetic algorithm

  • Koh, Taek-Beom;Cha, Sang-Yeob;Woo, Kwang-Bang;Moon, Dae-Sik;Kwak, Kyu-Hwao;Chang, Ho-Seung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.252-258
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    • 1995
  • The purpose of this study is to provide the integrated process control system, utilizing neural network modeling, to search for the appropriate choice input, and to keep the process output within the desired rang in the real etch process.

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빅데이터를 활용한 정책분석의 방법론적 함의 : 기회형 창업 관련 소셜 빅데이터 분석 사례를 중심으로 (Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business)

  • 이영주;김도훈
    • 한국IT서비스학회지
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    • 제15권1호
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    • pp.97-111
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    • 2016
  • In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

가상기업의 형성을 위한 컨텍스트 기반 프레임워크 (Context-Driven Framework for High Level Configuration of Virtual Businesses)

  • 이경휘;오상봉
    • Journal of Information Technology Applications and Management
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    • 제14권2호
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    • pp.11-26
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    • 2007
  • In this paper we suggest a context-driven configuration model of virtual businesses to form a business network model consisting of role-based, interaction-centered business partners. The model makes use of the subcontext concept which explicitly represents actors and interactions in virtual business (VB) context. We separate actors who have capacities on tasks in a specific kind of role and actor subcontext which models requirements in specific interaction subcontext. Three kinds of actors are defined in virtual service chains, service user, service provider, and external service supporter. Interaction subcontext models a service exchange process between two actor subcontexts with consideration of context dependencies like task and quality dependencies. Each subcontext may be modeled in the form of a situation network which consists of a finite set of situation nodes and transitions. A specific situation is given in a corresponding context network of actors and interactions. It is illustrated with a simple example.

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AraProdMatch: A Machine Learning Approach for Product Matching in E-Commerce

  • Alabdullatif, Aisha;Aloud, Monira
    • International Journal of Computer Science & Network Security
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    • 제21권4호
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    • pp.214-222
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    • 2021
  • Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

Models of State Clusterisation Management, Marketing and Labour Market Management in Conditions of Globalization, Risk of Bankruptcy and Services Market Development

  • Prokopenko, Oleksii;Martyn, Olga;Bilyk, Olha;Vivcharuk, Olga;Zos-Kior, Mykola;Hnatenko, Iryna
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.228-234
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    • 2021
  • The article defines the problems of forming the models of government regulation of clustering, marketing management and labor market in the context of globalization, business bankruptcy risk and services market development. The clustering models based on the optimal partner network cooperation were proposed in order to ensure the strategic development of territories, to attract budget leading enterprises and to support small businesses. A descriptive model of government regulation of clustering, marketing management and labor market in the context of globalization, business bankruptcy risk and Covid-19 was determined.

Deep Reference-based Dynamic Scene Deblurring

  • Cunzhe Liu;Zhen Hua;Jinjiang Li
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권3호
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    • pp.653-669
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    • 2024
  • Dynamic scene deblurring is a complex computer vision problem owing to its difficulty to model mathematically. In this paper, we present a novel approach for image deblurring with the help of the sharp reference image, which utilizes the reference image for high-quality and high-frequency detail results. To better utilize the clear reference image, we develop an encoder-decoder network and two novel modules are designed to guide the network for better image restoration. The proposed Reference Extraction and Aggregation Module can effectively establish the correspondence between blurry image and reference image and explore the most relevant features for better blur removal and the proposed Spatial Feature Fusion Module enables the encoder to perceive blur information at different spatial scales. In the final, the multi-scale feature maps from the encoder and cascaded Reference Extraction and Aggregation Modules are integrated into the decoder for a global fusion and representation. Extensive quantitative and qualitative experimental results from the different benchmarks show the effectiveness of our proposed method.

초고속정보통신망하에서 인터넷서비스만족도에 영향을 주는 요인에 관한 연구 (A Study on Factors Influencing Internet Service Satisfaction in the High-Speed Information and Communication Network)

  • 조성빈;유한주;유왕진
    • 품질경영학회지
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    • 제30권3호
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    • pp.168-185
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    • 2002
  • A few recent international surveys reported that Korea ranks the top with respect to the high-speed information and communication network subscription per 100 people in the world. Such infrastructure has been bringing about broad changes in Internet service for both business and individual users. By conducting a questionnaire survey on a moderate size of sample proportional to the population of each region across country, we try to analyze what factors might explain the level of Internet service satisfaction with respect to security, searching, and convenience dimensions. According to the test results, several factors such as sex, age, kind of network lines, usage frequency, e-mail usage, e-shopping, online problem experience might explain the different levels of Internet service satisfaction in the high-speed Internet network. This study might shed a guidance to scholars conducting Internet-related studies and practitioners who plan information policies and business strategies.

네트워크 기반 건축설계정보 공유 방안에 관한 연구 (A Study on Sharing Architectural Design Information through the Computer Network)

  • 김인한
    • 한국전자거래학회지
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    • 제3권2호
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    • pp.113-124
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    • 1998
  • The architectural design requires collaboration among various participants, such as architects, clients and engineers in the stages of the design process. Rapid development of information technology enables effective and prompt exchange and sharing of digital architectural information, otherwise should have been exchanged and managed by traditional ways. However, the core technology for supporting this demands has not been fully investigated so far. This paper aims to show the possibility of adopting network based architectural design information sharing system through surveying and analyzing the state-of-the-art network technology and its uses in architectural information exchange among various design actors. To realize these aims, this paper 1) investigates and analyzes the current status of network technology in the architectural and construction practice, 2) suggests systematic information exchange and sharing mechanism for architectural products and drawings data, and 3) demonstrates network based prototypical architectural information system.

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