• 제목/요약/키워드: network value

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MIM서비스에서 지각된 네트워크외부성과 경험가치가 지속적 사용의도에 미치는 영향에 관한 연구 (A Study On The Effects Network Externalities and Experiential Value Perceived from MIMService on Continuous Intention)

  • 이룡;김광용
    • 한국IT서비스학회지
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    • 제12권1호
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    • pp.51-67
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    • 2013
  • Mobile Instant Messenser (MIM) Market With the market is enlarging and attracting more and more companies. With the market expanding and number of users increasing, the competition in this area will be fierce. In order to gain competitive advantage, it is important to develop a strategy to maximize user value and to grasp the continuous usage intention of users. However, there are currently not enough researches done in this field. Therefore, this paper to study the effects of network externalities and perceived experiential value on perceived usefulness, user satisfaction, and continuous usage intention. The research results showed that the perceived experiential value and vertical compatibility significantly affected user satisfaction, but the perceived network size did not. The perceived network size and vertical compatibility did not affect the perceived usefulness. Also, the economic value, which is a sub-factor of the perceived experiential value, did not affect the perceived usefulness, but the functional value and hedonic value did significantly. The perceived network size significantly affected continuance usage intention, but the perceived network compatibility did not.

네트워크 외부성이 첨단기술제품에 대한 가치와 채택의도에 미치는 영향: 컨버전스제품을 중심으로 (Effects of Network Externality on Perceived Value and Adoption of High-tech Products : Focusing on Convergence Products)

  • 박경자
    • 한국정보시스템학회지:정보시스템연구
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    • 제24권4호
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    • pp.21-42
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    • 2015
  • Purpose The high-technology market shows characteristics of a highly interdependent network market in both supply-side and demand-side, compared to other markets. Particularly, for convergence products, connectivity with related elements, as well as characteristics of innovation itself, is relatively important to the extent that they combine functions provided by several devices into a single device. Therefore, this study aims to identify whether network externality exists in value and adoption of a convergence product and discover a source of network externality, if any. Design/methodology/approach: Through a preceding research analysis and a literature review, 'social influence' and 'network size' have been drawn as direct network elements. On the other hand, general (comprehensive) concept compatibilities including 'intra-technology compatibility', 'inter-technology compatibility' and 'complementary-technology compatibility' are regarded as indirect network elements. Findings: Major findings are as followed;- First, it is shown that the factors influencing on perceived value of a convergence products are 'social influence' and 'network size' as the direct network elements and 'complementary-compatibility' among indirect network elements. Second, it is also found that 'intra-technology compatibility', 'inter-technology compatibility', 'complementary-compatibility' and 'perceived value' have significant effects on adoption of a convergence product. Particularly, it is known that 'complementary-compatibility' is an important source of network externality as it plays a decisive role in value judgment and has significant effects on perceived value. It is worthwhile to notice that this study comprehensively explains effects of network on high-tech products by structuring comparability as a multi-dimensional concept, as well as direct network elements.

기술창업기업의 가치사슬내부 및 외부 네트워크 활동이 동적역량을 매개로 경쟁우위에 미치는 영향 (The Effect of Technology Startups' Value Chain Internal and External Network Activities on Competitive Advantage Through Dynamic Capabilities)

  • 홍인기;김형준
    • 벤처창업연구
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    • 제17권5호
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    • pp.17-30
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    • 2022
  • 불확실한 환경에서 창업하는 기술창업기업의 경쟁우위에 동적역량이 매우 중요한 영향을 미친다는 점은 여러 연구에서 검증되어왔다. 그리고 이런 동적역량에는 외부기관 네트워크가 중요한 영향을 미친다. 이는 자원과 지식이 부족한 창업기업에게 더욱 중요하다. 동적역량에 직접적으로 유의한 영향을 미치는 네트워크는 가치사슬내부 네트워크 위주로 연구되어 왔다. 하지만 창업기업의 네트워크 활동은 가치사슬내부 네트워크 뿐만 아니라 가치사슬외부 네트워크와도 이루어지고 있다. 따라서 창업기업의 네트워크 활동이 동적역량에 미치는 영향을 연구하기 위해서는 두 가지 네트워크가 모두 포괄된 연구가 필요하지만, 선행연구가 부족하다. 본 연구에서는 기술창업기업을 대상으로 가치사슬외부 네트워크와 가치사슬내부 네트워크를 포괄하는 모델을 구성하고, 동적역량과 경쟁우위에 미치는 영향을 실증하는 연구를 진행하였다. 연구결과, 가치사슬내부와의 네트워크 활동은 선행연구와 마찬가지로 동적역량에 직접적으로 유의한 영향을 주었고, 가치사슬외부와의 네트워크 활동은 동적역량에 직접적으로 유의한 영향을 주지 않았다. 그리고 동적역량은 경쟁우위에 유의한 영향을 주었다. 추가연구를 통해 확인한 바, 가치사슬외부와의 네트워크 활동은 가치사슬내부와의 네트워크 활동에 영향을 주고 이를 통해 동적역량을 강화하며, 이를 통해 경쟁우위에 긍정적인 영향을 주는 매개효과가 유의하였다. 이를 통해 창업기업이 동적역량을 강화하여 경쟁우위를 높이기 위해서는 가치사슬내부 네트워크가 중요하다는 점과 가치사슬내부 네트워크는 강하게, 다양하게 맺는 것은 모두 동적역량을 높여 경쟁우위에 긍정적 영향을 준다는 점을 확인할 수 있었다.

통계적 여과기법에서 퍼지 규칙을 이용한 적응적 보안 경계 값 결정 방법 (An Adaptive Threshold Determining Method in Senor Networks using Fuzzy Logic)

  • 선청일;조대호
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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    • pp.177-180
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    • 2008
  • There are many application areas of sensor networks, such as surveillance, hospital monitoring, and home network. These are dependent on the secure operation of networks, and will have serious outcome if the networks is injured. An adversary can inject false data into the network through the compromising node. Ye et al. proposed a statistical en-route filtering scheme (SEF) to detect such false data during forwarding process. In this scheme, it is important that the choice of the threshold value since it trades off security and overhead. This paper presents an adaptive threshold value determining method in the SEF using fuzzy logic. The fuzzy logic determines a security distance value by considering the situation of the network. The Sensor network is divided into several areas by the security distance value, it can each area to uses the different threshold value. The fuzzy based threshold value can reduce the energy consumption in transmitting.

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A quantitative assessment method of network information security vulnerability detection risk based on the meta feature system of network security data

  • Lin, Weiwei;Yang, Chaofan;Zhang, Zeqing;Xue, Xingsi;Haga, Reiko
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권12호
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    • pp.4531-4544
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    • 2021
  • Because the traditional network information security vulnerability risk assessment method does not set the weight, it is easy for security personnel to fail to evaluate the value of information security vulnerability risk according to the calculation value of network centrality, resulting in poor evaluation effect. Therefore, based on the network security data element feature system, this study designed a quantitative assessment method of network information security vulnerability detection risk under single transmission state. In the case of single transmission state, the multi-dimensional analysis of network information security vulnerability is carried out by using the analysis model. On this basis, the weight is set, and the intrinsic attribute value of information security vulnerability is quantified by using the qualitative method. In order to comprehensively evaluate information security vulnerability, the efficacy coefficient method is used to transform information security vulnerability associated risk, and the information security vulnerability risk value is obtained, so as to realize the quantitative evaluation of network information security vulnerability detection under single transmission state. The calculated values of network centrality of the traditional method and the proposed method are tested respectively, and the evaluation of the two methods is evaluated according to the calculated results. The experimental results show that the proposed method can be used to calculate the network centrality value in the complex information security vulnerability space network, and the output evaluation result has a high signal-to-noise ratio, and the evaluation effect is obviously better than the traditional method.

Factors Affecting Value Co-Creation Behavior for Social Enterprises in Retail Sector

  • Sungjoon YOON;Heeyeon KIM
    • 유통과학연구
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    • 제22권9호
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    • pp.97-106
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    • 2024
  • Purpose: In view of increased social awareness of today's consumers, it is very important to understand how retail customers perceive their sense of social responsibility. This study aims to explore the decision processes of university students that affect the patronage of social enterprises in retail sector. Research design, data and methodology: This study proposes and tests whether and how social network traits, firm's image, and perceived trustworthiness serve as predictors of value co-creation behavior specific to two different industries (social enterprises and regular firms) operating in retail sector of South Korea. This study incorporated theoretical premise of value co-creation to verify the structural relationships among the predictors of value co-creation. Results: The result demonstrates that social network and firm's image both significantly influence consumers' value co-creation behavior. The study further found that the firm's image is overall more effective for eliciting consumers' value co-creation behavior than social network traits. Conclusions: As the result of comparing the industry type (social enterprises vs. regular firms), the study confirmed a meaningful difference such that consumers indicated greater impact of firm's image on value co-creation for social enterprises than for regular firms. The findings are expected to provide useful industrial insights for the management of social enterprises.

구륜 이동 로봇의 경로추적을 위한 퍼지-신경망을 이용한 제어기 설계 (A Design of Fuzzy-Neural Network Algorithm Controller for Path-Tracking in Wheeled Mobile Robot)

  • 김제현;김상원;이용현;박종국
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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    • pp.255-258
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    • 2003
  • It is hard to centrol the wheeled mobile robot because of uncertainty of modeling, non-holonomic constraint and so on. To solve the problems, we design the controller of wheeled mobile robot based on fuzzy-neural network algorithm. In this paper, we should research the problem of classical controller for path-tracking algorithm and design of Fuzzy-Neural Network algorithm controller. Classical controller acquired different control value according to change of initial position and direction. In this control value having very difficult and having acquired a lot of trial and error Fuzzy is implemented to adaptive adjust control value by error and change of error and neural network is implemented to adaptive adjust the control gain during the optimization. The computer simulation shows that the proposed fuzzy-neural network controller is effective.

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신경망을 이용한 BLE 기반 실내 측위 시스템 설계 (BLE-based Indoor Positioning System design using Neural Network)

  • 신광성;이희권;염성관
    • 한국정보통신학회논문지
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    • 제25권1호
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    • pp.75-80
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    • 2021
  • 측위 기술은 증강현실, 스마트 팩토리, 자율주행 등에서 중요한 기능을 수행하고 있다. 측위 기술 중에서 비콘을 이용한 측위 방법은 RSSI(Receiver Signal Strength Indicator) 값의 편차로 인하여 도전적인 과제로 여겨져 왔다. 본 논문에서는 수신기의 RSSI 값을 입력으로 하고 거리를 목표 값으로 하는 신경망을 학습시켜서 이동하는 객체에 대한 위치를 예측하였다. 이를 수행하기 위해 RSSI 대비 거리 실측값을 수집하였다. 수집한 데이터로 합성 데이터를 만들기 위한 신경망을 도입하였다. 이 신경망을 바탕으로 거리 대비 RSSI 값을 예측하였다. 합성 데이터를 바탕으로 가상으로 좌표계를 구성하여 객체의 위치를 예측하였다. 합성 데이터를 생성하기 위한 신경망으로 RSSI의 표준편차는 구하였고 이 값을 기반으로 가상환경에서 단말의 위치를 추적하는 신경망을 학습시켜 객체의 좌표를 추정하였다.

OECD 부가가치 기준 교역자료를 이용한 자동차산업 글로벌 생산 네트워크의 특성 분석 (An Analysis on the Characteristics of Global Automotive Production Network using the OECD Trade in Value Added Data)

  • 정준호;조형제
    • 한국경제지리학회지
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    • 제19권3호
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    • pp.491-511
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    • 2016
  • 본 논문은 세계 자동차산업을 대상으로 2015년판 OECD-TIVA 자료 분석을 통해 구축된 수출품의 해외조달 부가가치 네트워크 특성을 사회네트워크 기법을 활용하여 분석하였다. 그 연구결과를 요약하면 다음과 같다. 첫째, 1995-2011년 기간 동안에 생산공정 분업은 EU, NAFTA와 같은 역내 경제블록에 한정된 것이 아니라 세계적인 차원으로 심화되었다. 둘째, 수출품의 부가가치 해외조달 네트워크는 위계적이고 공간적으로 집중되고 평균거리가 짧아지는 좁은 세상 네트워크의 특성들을 보여주었다. 셋째, 자동차산업 글로벌 가치사슬에서 주요 공급자는 소수의 국가들에 불과하지만 중간재의 사용자는 다수의 국가들이다. 가장 핵심적인 해외 부가가치의 공급자들인 미국, 독일, 중국 간에 특징적인 차이가 존재한다. 생산공정 분업이 글로벌 수준에서 전개된 것은 사실이지만 그 이면에 중심과 주변, 국내와 외국자본의 이분법의 긴장이 놓여 있다.

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퍼지 학습 규칙을 이용한 퍼지 신경회로망

  • 김용수
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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    • pp.180-184
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    • 1997
  • This paper presents the fuzzy neural network which utilizes a fuzzified Kohonen learning uses a fuzzy membership value, a function of the iteration, and a intra-membership value instead of a learning rate. The IRIS data set if used to test the fuzzy neural network. The test result shows the performance of the fuzzy neural network depends on k and the vigilance parameter T.

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