• 제목/요약/키워드: network-based business

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네트워크 마케팅 산업에서 독립 사업자의 기업 선택 속성이 경제적 및 비경제적 만족과 신뢰, 추천의도에 미치는 영향 (Effects of Independent Operator's Company Selection Attributes on Economic and Non-Economic Satisfaction, Trust, and Recommendation in the Network Marketing Industry)

  • 노현식
    • 한국프랜차이즈경영연구
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    • 제10권1호
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    • pp.19-32
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    • 2019
  • Purpose - Since the opening of Korea's distribution market, the domestic network marketing market has been continuing to grow. In this context, research on network marketing independent operators, which plays the most important role in the network marketing industry, is insufficient. This study was to identify the effects of Independent Operator's Company Selection Attributions on the Economic and Non-Economic Satisfaction, Trust, and Recommendation. The results will provide strategic direction, theoretical and practical implications for companies and operators in the network marketing industry. Research design, data, and methodology - In order to verify the research hypotheses, the data were collected from Independent Operators of Network marketing industry using questionnaires. The pretest was conducted from January 8 to 19, 2018, and the main survey was conducted from February 1 to 28. A total of 210 questionnaires, of which 193 copies were collected. The data were analyzed with SPSS 21.0. and AMOS 21.0. Results - The results are as follows; product competitiveness and system competitiveness have significant effects on economic satisfaction and non-economic satisfaction. Economic and non-economic satisfaction have significant effects on business trust. Economic and non-economic satisfaction did not influence recommendation intention directly, but influence it indirectly. Business trust has a significant effect on business recommendation intention. Conclusions - After starting network marketing business as an independent operator, the competitiveness of the company is meaningless, and product competitiveness and system competitiveness are important factors for economic and non-economic satisfaction. Therefore, network marketing companies and independent operators should prioritize product competitiveness and system competitiveness between business development. The findings show that trust in the business is very important for active business Recommendation to others. Therefore, network marketing firms and independent operators need to make efforts to meet economic and non-economic satisfaction, which have a significant impact on business trust.

C-Engineering Based Industry 4.0 Innovation Networks Sustainable Development

  • Omelyanenko, Vitaliy;Braslavska, Oksana;Biloshkurska, Nataliia;Biloshkurskyi, Mykola;Kliasen, Natalia;Omelyanenko, Olena
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.267-274
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    • 2021
  • The article deals with problems of innovation development on a network basis, which require effective mechanisms of innovation communications. In research the organizational aspects of ICT infrastructure development for innovation networks sustainable development based on cooperative marketing principles is considered. The proposed research idea is based on the idea that ICT implementation is based not only on the operational approach for innovation management as a factor of efficiency of internal communications, but also on knowledge economy and post-industrial economy trends. Therefore, the purpose of study is to develop an ICT model of innovation infrastructure to improve its effectiveness (strategic character) and efficiency (operative character) through increasing the efficiency of network communication interactions. Creation of information space and communication tools to support innovation network sustainable development and cooperation activities in research is proposed to be solved with the help of specialized ICT platform. It is shown, that ICT platform of innovation cooperation innovation network is important tool for common work of participants. ICT platform is considered as an integrated information system designed to automate business processes related to the sustainable development of innovation network, segment management and integration with HEI information systems and industrial cooperation. The main factors that determine the need to use a special ICT platform for innovation network cooperation were considered. The main issues of concurrent engineering (C-technology) application in high-technology industries and innovation cooperation for integrated product development were studied.

키워드 네트워크 분석을 통한 지식구조 변화 연구 : 비즈니스 모델 연구를 중심으로 (A Study on the Change of Knowledge Structure through Keyword Network Analysis : Focus on Business Model Research)

  • 류재홍;최진호
    • 한국IT서비스학회지
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    • 제17권2호
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    • pp.143-163
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    • 2018
  • The business models has a great impact on the successful management of enterprises. Business environment has been shifting from industrial economy to knowledge-based economy. Enterprises go through numerous trials for successful management in the changing environment. Along with trial tests, research areas have been growing simultaneously. Although many researches have been conducted with regard to business models, it is very insufficient to systematically analyze the knowledge flow of research. Accordingly, successive researchers who want to study the business model may find it difficult to establish the orientation of future application research based on understanding the process of changing the knowledge structure that have accumulated so far. This study is intended to determine the current state of the business model research and to understand the process of knowledge structure changes in keywords that appear in 2,667 business model articles in the SCOPUS database. Identifying the knowledge structure has been completed through social network analysis, a methodology based on the 'relationship', and the changes in the knowledge structure were identified by classifying them into four different periods. The analysis showed that, first, the number of business model co-author increases over time with the need for academic diversity. Second, the 'innovation' keyword has the biggest center in the network, and over time, the lower-rank keyword which was in the former period has emerged as the top-rank keyword. Third, the cohesiveness group decreased from 12 before 2000 to 5 in 2015 and also the modularity decreased as well. Finally, examining characteristics of study area through a cognitive map showed that the relationships between domains increased gradually over time. The study has provided a systematic basis for understanding the current state of the business model research and the process of changing knowledge structure. In addition, considering that no research has ever systematically analyzed the knowledge structure accumulated by individual researches, it is considered as a significant study.

Neural Network Analysis in Forecasting the Malaysian GDP

  • SANUSI, Nur Azura;MOOSIN, Adzie Faraha;KUSAIRI, Suhal
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.109-114
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    • 2020
  • The aim of this study is to develop basic artificial neural network models in forecasting the in-sample gross domestic product (GDP) of Malaysia. GDP is one of the main indicators in presenting the macro economic condition of a country as set by the world authority bodies such as the World Bank. Hence, this study uses an artificial neural network-based approach to make predictions concerning the economic growth of Malaysia. This method has been proposed due to its ability to overcome multicollinearity among variables, as well as the ability to cope with non-linear problems in Malaysia's growth data. The selected inputs and outputs are based on the previous literatures as well as the economic growth theory. Therefore, the selected inputs are exports, imports, private consumption, government expenditure, consumer price index (CPI), inflation rate, foreign direct investment (FDI) and money supply, which includes M1 and M2. Whilst, the output is real gross domestic product growth rate. The results of this study showed that the neural network method gives the smallest value of mean error which is 0.81 percent with a total difference of 0.70 percent. This implies that the neural network model is appropriate and is a relevant method in forecasting the economic growth of Malaysia.

A Method of Service Refinement for Network-Centric Operational Environment

  • Lee, Haejin;Kang, Dongsu
    • 한국컴퓨터정보학회논문지
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    • 제21권12호
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    • pp.97-105
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    • 2016
  • Network-Centric Operational Environment(NCOE) service becomes critical in today's military environment network because reusability of service and interaction are being increasingly important as well in business process. However, the refinement of service by semantic similarity and functional similarity at the business process was not detailed yet. In order to enhance accuracy of refining of business service, in this study, the authors introduce a method for refining service by semantic similarity and functional similarity in BPMN model. The business process are designed in a BPMN model. In this model, candidated services are refined through binding related activities by the analysis result of semantic similarity based on word-net and functional similarity based on properties specification between activities. Then, the services are identified through refining the candidated service. The proposed method is expected to enhance the service identification with accuracy and modularity. It also can accelerate more standardized service refinement developments by the proposed method.

The Effect of Network Position on the Efficiency of Open Collaboration: A Study of Wikipedia Featured Article Edits

  • Naveed Khan;Jongwoo Kim;Hong Joo Lee
    • Asia pacific journal of information systems
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    • 제29권1호
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    • pp.50-64
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    • 2019
  • The success of Wikipedia is due to the large number of volunteers collaborating to provide content to Wikipedia articles. In this paper, we study the effect of network position on the promotion of an article to a featured article. We focus on the edits of featured Wikipedia articles to study the effects of the centrality of editors and centrality of articles on the promotion of featured articles. Considering the editing precedence among editors within an article, editor collaboration networks for a single article are generated using the total English-written featured articles on Wikipedia. In addition, based on the affiliation network of editors and articles, an article-to-article network and an editor-to-editor collaboration network are constructed. Based on the investigation of the networks, we find that article centrality in an article-to-article network has a negative effect on the promotion of an article, and editor centrality in an article-to-article networks has a positive effect on promotion. In addition, editor centrality in an editor-to-editor network has a negative effect on promotion. Some theoretical and managerial implications are provided in view of these results.

광전송망의 생존성 보장을 위한 동일관로 분석 및 설계시뮬레이션 시스템 구현 (Duplicated Line Search and Simulate System for Optical Network Survivability)

  • 조인호;이용기;민경선
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.953-954
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    • 2006
  • Guaranteeing survivability is the most important issue in designing and operating optical transmission network. For dual system of optical transmission network, there should be two routes of the optical to prepare an error in one cable route. If a route is selected based on the standard of unused optical core when choosing an optical cable, dual optical cable routes could be installed in duplicated line. This paper simulates the installation of duplicated line when designing an optical transmission network, detects the status of duplicated line that could happen during transfer construction and switching and accomplishes a system that can confirm the location based on a map.

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Attention-based for Multiscale Fusion Underwater Image Enhancement

  • Huang, Zhixiong;Li, Jinjiang;Hua, Zhen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권2호
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    • pp.544-564
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    • 2022
  • Underwater images often suffer from color distortion, blurring and low contrast, which is caused by the propagation of light in the underwater environment being affected by the two processes: absorption and scattering. To cope with the poor quality of underwater images, this paper proposes a multiscale fusion underwater image enhancement method based on channel attention mechanism and local binary pattern (LBP). The network consists of three modules: feature aggregation, image reconstruction and LBP enhancement. The feature aggregation module aggregates feature information at different scales of the image, and the image reconstruction module restores the output features to high-quality underwater images. The network also introduces channel attention mechanism to make the network pay more attention to the channels containing important information. The detail information is protected by real-time superposition with feature information. Experimental results demonstrate that the method in this paper produces results with correct colors and complete details, and outperforms existing methods in quantitative metrics.

An Exploratory Study on Success Factors of Technology-based start-ups

  • Jo, Dong Hyuk;Kim, Jong Young
    • 인터넷정보학회논문지
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    • 제19권6호
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    • pp.113-123
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    • 2018
  • This study was conducted to empirically verify the effect of the technological entrepreneurship, network capability and technological innovation capability on the innovative performance of technology-based start-ups with the aim of determining the success factors of technology-based start-ups by defining the success of technology-based start-ups as the innovative performance through technology innovation activities. For the significance of this study, it suggested the importance of technology innovation as a survival strategy of technology-based start-ups, verified the dimensions, relationship and roles of technological entrepreneurship, network capability and technology innovation capability, thereby proving the theoretical expansion. This study has determined the success factors of technology-based start-ups and thereby suggested the strategic directions for enhancing the competitiveness of technology-based start-ups.

경쟁력강화를 위한 철도망 현대화 방향에 관한 연구 (A study on Railway Network Modernization)

  • 김현웅
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2004년도 추계학술대회 논문집
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    • pp.1618-1623
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    • 2004
  • A holistic approach is needed in railway network modernization. What matters is that each route is developed optimally throughout its life to meet business needs - whether the answer at a given point in time is a rail repair or an redevelopment scheme. Modernization of railway network will bring railway systems up-to-date, enabling them to deliver optimal performance. As the result, the railway network modernization for revitalise the railway is based on seeking out optimum conditions for financially efficient infrastructure management, developing infrastructure fully in line with market needs and last but not least, improving railway business.

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