• Title/Summary/Keyword: Value network

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

  • Li, Long;Gim, Gwang-Yong
    • Journal of Information Technology Services
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    • v.12 no.1
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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.

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

  • Park, Kyung Ja
    • The Journal of Information Systems
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    • v.24 no.4
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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.

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

  • Hong, Inki;Kim, Hyung-Jun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.5
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    • pp.17-30
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    • 2022
  • It has been verified in several studies that dynamic capabilities has a very important effect on the competitive advantage of technology startups. And the network has an important influence on this dynamic capability. This is even more important for start-ups that lack the resources and knowledge. Networks that directly and significantly affect dynamic capabilities have been studied mainly the value chain internal. However, network activities of start-ups are conducted not only with the value chain internal networks but also with the value chain external networks. Therefore, it is necessary to study the effect of the value chain internal and external network activity of start-ups on the dynamic capabilities, but prior studies are lacked. In this study, We make a model that encompass the value chain internal and external network for technology startups, and a study was conducted to demonstrate the effect on dynamic capabilities and competitive advantage. As a result of the study, value chain internal network activity directly and significantly affected dynamic capabilities, and value chain external network activity did not directly significantly affect dynamic capacity. And dynamic capabilities had a significant effect on competitive advantage. As confirmed through additional research, value chain external network activity affects value chain internal network activity, and through this, dynamic capabilities are strengthened, and positively affect competitive advantage.. The intensity of value chain external network activity was not significant to dynamic capabilities and the diversity of value chain external network activity had a significant effect on the competitive advantage by double mediating the value chain internal network activity and dynamic capability. Through this study, it is confirmed that the value chain internal networks is important in order for startups to strengthen their dynamic capabilities and increase their competitive advantage, and that both strong and diversified the value chain internal networks positively affects competitive advantage by enhancing dynamic capabilities.

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

  • Sun, Chung-Il;Cho, Tae-Ho
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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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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    • v.15 no.12
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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.

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

  • Kim, Je-Hyeon;Kim, Sang-Won;Lee, Yong-Hyeon;Park, Jong-Guk
    • Proceedings of the KIEE Conference
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    • 2003.11b
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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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BLE-based Indoor Positioning System design using Neural Network (신경망을 이용한 BLE 기반 실내 측위 시스템 설계)

  • Shin, Kwang-Seong;Lee, Heekwon;Youm, Sungkwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.75-80
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    • 2021
  • Positioning technology is performing important functions in augmented reality, smart factory, and autonomous driving. Among the positioning techniques, the positioning method using beacons has been considered a challenging task due to the deviation of the RSSI value. In this study, the position of a moving object is predicted by training a neural network that takes the RSSI value of the receiver as an input and the distance as the target value. To do this, the measured distance versus RSSI was collected. A neural network was introduced to create synthetic data from the collected actual data. Based on this neural network, the RSSI value versus distance was predicted. The real value of RSSI was obtained as a neural network for generating synthetic data, and based on this value, the coordinates of the object were estimated by learning a neural network that tracks the location of a terminal in a virtual environment.

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

  • Jeong, Jun Ho;Jo, Hyung Je
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.3
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    • pp.491-511
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    • 2016
  • This paper attempts to understand the nature and dynamics of global value chains in the auto industry using the OECD TiVA 2015 edition on the bilateral foreign value added in exports over the period 1995-2011 and employing the techniques of social network analysis such as the computation of network measures and visualization of value added trade flows. It is shown that there has been a tendency towards increasing production fragmentation both within and across regions. The automotive value-added network is found to have small-world properties with a hierarchical, clustered and dense structure. The differences among the US, Germany and China as major suppliers of foreign value added in global automotive value chains are remarkably revealed. Although the fragmentation of production has been developed on a global scale, a dichotomous tension between center and periphery and domestic and foreign capital lies behind it.

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퍼지 학습 규칙을 이용한 퍼지 신경회로망

  • 김용수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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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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Understanding the Relationship between Value Co-Creation Mechanism and Firm's Performance based on the Service-Dominant Logic (서비스지배논리하에서 가치공동창출 매커니즘과 기업성과간의 관계에 대한 연구)

  • Nam, Ki-Chan;Kim, Yong-Jin;Yim, Myung-Seong;Lee, Nam-Hee;Jo, Ah-Rha
    • Asia pacific journal of information systems
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    • v.19 no.4
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    • pp.177-200
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    • 2009
  • AIn the advanced - economy, the services industry hasbecome a dominant sector. Evidently, the services sector has grown at a much faster rate than any other. For instance, in such developed countries as the U.S., the proportion of the services sector in its GDP is greater than 75%. Even in the developing countries including India and China, the magnitude of the services sector in their GDPs is rapidly growing. The increasing dependence on service gives rise to new initiatives including service science and service-dominant logic. These new initiatives propose a new theoretical prism to promote the better understanding of the changing economic structure. From the new perspectives, service is no longer regarded as a transaction or exchange, but rather co-creation of value through the interaction among service users, providers, and other stakeholders including partners, external environments, and customer communities. The purpose of this study is the following. First, we review previous literature on service, service innovation, and service systems and integrate the studies based on service dominant logic. Second, we categorize the ten propositions of service dominant logic into conceptual propositions and the ones that are directly related to service provision. Conceptual propositions are left out to form the research model. With the selected propositions, we define the research constructs for this study. Third, we develop measurement items for the new service concepts including service provider network, customer network, value co-creation, and convergence of service with product. We then propose a research model to explain the relationship among the factors that affect the value creation mechanism. Finally, we empirically investigate the effects of the factors on firm performance. Through the process of this research study, we want to show the value creation mechanism of service systems in which various participants in service provision interact with related parties in a joint effort to create values. To test the proposed hypotheses, we developed measurement items and distributed survey questionnaires to domestic companies. 500 survey questionnaires were distributed and 180 were returned among which 171 were usable. The results of the empirical test can be summarized as the following. First, service providers' network which is to help offer required services to customers is found to affect customer network, while it does not have a significant effect on value co-creation and product-service convergence. Second, customer network, on the other hand, appears to influence both value co-creation and product-service convergence. Third, value co-creation accomplished through the collaboration of service providers and customers is found to have a significant effect on both product-service convergence and firm performance. Finally, product-service convergence appears to affect firm performance. To interpret the results from the value creation mechanism perspective, service provider network well established to support customer network is found to have significant effect on customer network which in turn facilitates value co-creation in service provision and product-service convergence to lead to greater firm performance. The results have some enlightening implications for practitioners. If companies want to transform themselves into service-centered business enterprises, they have to consider the four factors suggested in this study: service provider network, customer network, value co-creation, and product-service convergence. That is, companies becoming a service-oriented organization need to understand what the four factors are and how the factors interact with one another in their business context. They then may want to devise a better tool to analyze the value creation mechanism and apply the four factors to their own environment. This research study contributes to the literature in following ways. First, this study is one of the very first empirical studies on the service dominant logic as it has categorized the fundamental propositions into conceptual and empirically testable ones and tested the proposed hypotheses against the data collected through the survey method. Most of the propositions are found to work as Vargo and Lusch have suggested. Second, by providing a testable set of relationships among the research variables, this study may provide policy makers and decision makers with some theoretical grounds for their decision making on what to do with service innovation and management. Finally, this study incorporates the concepts of value co-creation through the interaction between customers and service providers into the proposed research model and empirically tests the validity of the concepts. The results of this study will help establish a value creation mechanism in the service-based economy, which can be used to develop and implement new service provision.