• Journal of Information Processing Systems
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• v.6 no.3
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• pp.269-294
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• 2010

The interconnection of mobile devices in urban environments can open up a lot of vistas for collaboration and content-based services. This will require setting up of a network in an urban environment which not only provides the necessary services to the user but also ensures that the network is secure and energy efficient. In this paper, we propose a secure, energy efficient dynamic routing protocol for heterogeneous wireless sensor networks in urban environments. A decision is made by every node based on various parameters like longevity, distance, battery power which measure the node and link quality to decide the next hop in the route. This ensures that the total load is distributed evenly while conserving the energy of battery-constrained nodes. The protocol also maintains a trusted population for each node through Dynamic Trust Factor (DTF) which ensures secure communication in the environment by gradually isolating the malicious nodes. The results obtained show that the proposed protocol when compared with another energy efficient protocol (MMBCR) and a widely accepted protocol (DSR) gives far better results in terms of energy efficiency. Similarly, it also outdoes a secure protocol (QDV) when it comes to detecting malicious nodes in the network.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.513-519
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• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.15-22
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• 2006

Nowadays, there is called energy saving, that it is accomplished with a lot study and application development as according to demand of all around world. It is using to network device of wire or wireless such as internet, lan, plc, and zigbee and that we should be accomplished to study about method that spending a little cost to fatal error in control system that be expected of frequent occurrence on network, and that have method to do construction a little bit tried out. Also, in that such a embedded system with network function case, there is important thing that it is remote management to network node and control methods to trust because firmware upgrade have the advantage of more than the other device. In this paper, we have verified through a result of experiment for efficient remote management and control method as previously stated in this paper, that it is area of the PLC for sensor node and doing management to relay, and implementation of the LACC which is core part of the ESS, and in order to get a result to trust from doing analysis of capacity and test.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.225-230
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• 2016

Recently, Web has arisen large amount of data that to the development of the network and the Internet. In order to process it appeared that Big Data technology. Big Data technologies have been studied aiming a multifaceted and accurate analysis using existing regular data and a variety of data social data. But social data does not have the expertise and objectivity. And such manipulation and concealment and distortion of information have been raised troubling. Thus, this paper proposes for trust big data platform and will be described in detail. The big data platform proposed in this paper consists of data refiner, Data Analyzer, co-truster, visualizer, searcher, etc.

• Journal of Agricultural Extension & Community Development
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• v.8 no.2
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• pp.223-234
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• 2001

The community consciousness used to be the core of the social capital in rural Korea, and there used to be a long tradition of mutual trust and cooperation in rural village community in Korea. However, recent trends in rapid urbanization or de-ruralization may affected community consciousness and social capital in rural society in Korea. The social capital has been existed in terms of mutual trust, commonly shared norms, and cooperative behavior in farm work and daily life of rural people. Commonly shared norms and networks have accelerated social effectiveness and promoted cooperative work as well as moral and spiritual aspects of rural society. Social capital in terms of community consciousness, participation of village work, visit and invitation of the neighborhood, and participation in various village group and networks were suveyed in JanggogRi, Jori Myun, Paju city, Gyeonggi province. The data collected from 65 persons, and the major findings of the study were as follow; The respondents responded that the community consciousness of de-rural area decreased in general with a few exception in the groups of alumni, family, religion and voluntary society. Social capital in terms of participation of village work, visiting the neighbors and voting increased slightly. Further research on social capital should be conducted to strengthen community consciousness, and various measures to increase the social capital should be adopted for livable community development.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1570-1594
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• 2017

Social network services have recently changed from environments for simply building connections among users to open platforms for generating and sharing various forms of information. Existing user reputation computation methods are inadequate for determining the trust in users on social media where explicit ratings are rare, because they determine the trust in users based on user profile, explicit relations, and explicit ratings. To solve this limitation of previous research, we propose a user reputation computation method suitable for the social media environment by incorporating implicit as well as explicit ratings. Reliable user reputation is estimated by identifying malicious information raters, modifying explicit ratings, and applying them to user reputation scores. The proposed method incorporates implicit ratings into user reputation estimation by differentiating positive and negative implicit ratings. Moreover, the method generates user reputation scores for individual categories to determine a given user's expertise, and incorporates the number of users who participated in rating to determine a given user's influence. This allows reputation scores to be generated also for users who have received no explicit ratings, and, thereby, is more suitable for social media. In addition, based on the user reputation scores, malicious information providers can be identified.

• The Journal of Information Systems
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• v.27 no.1
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• pp.67-88
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• 2018

Purpose The purpose of this study is to verify motivations of corporate Facebook usage and to examine the impacts of usage motivations on brand attachment, trust and loyalty. Design/methodology/approach A conceptual model is developed based on Self-determination theory(SDT) and the previous studies. We conducted a web survey with a convenient sample of 121 Facebook users who clicked "Like" button on the corporate Facebook pages. Findings The followings are the findings of the study. First, intrinsic motivation(Entertainment) turned out to have positive effects on brand attachment. Second, extrinsic motivation(information exchange) turned out to have positive effects on brand trust. Third, brand attachment turned out to have positive effects on brand loyalty. These findings provide a valuable basis for constructing an explanatory model for "Like"-clicking behaviors of corporate's Facebook community platform users, as well as making significant practical contributions to enhance social and commercial benefits for businesses and individuals.

• Korean Journal of Health Education and Promotion
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• v.33 no.3
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• pp.83-93
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• 2016

Objectives: This study aimed (1) to share findings from the U.S. on customer use of social media for information seeking and sharing about food recall risks, and (2) to discuss the implications of the findings for the context of food safety and risk communication in Korea. Methods: A cross-sectional survey was conducted with 1,026 social media users aged 18 years or older in the U.S., recruited from the Knowledge Network's nationally representative panel. Results: About 26 percent of respondents used social media either to seek or share food recall information in the past year, with social networking sites being the most popular tool. With respect to social media use for information seeking, being married, perceived risk of getting foodborne diseases, and trust in Internet were significant, positive predictors; being Whites and trust in health professionals were negative predictors. Social media use for information sharing was positively associated with education, being married, foodborne disease history, and perceived risk of foodborne diseases; Whites, income, and trust in health professionals were negative predictors. Conclusions: The study gives theoretical, methodological, and practical implications for the context of food safety and risks in Korea.

• Korea Trade Review
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• v.47 no.2
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• pp.47-67
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• 2022

This study is to investigate the relationships between R&D collaboration and competitive advantage in Korean international venture firms from the perspective of resource-based theory, organizational learning and network theory. The R&D collaboration is divided into vertical cooperation within the value chain and horizontal cooperation beyond value chain. The first key finding from empirical analysis is that both vertical and horizontal R&D collaborations have significantly positive impacts on technology based competitive advantages. The vertical R&D collaboration has more impacts on competitive advantages than horizontal R&D collaboration. This suggests that R&D collaboration with purchasers and suppliers plays a greater role for venture organizations' competitiveness. Second, the potential knowledge based absorption capacity and mutual goodwill trust also work significantly to reinforce the positive influences of R&D collaboration to the competitive advantage. This implies that mutual trust between partners participating in collaboration and absorption capacity within venture organizations would strengthen the effectiveness of R&D cooperation. This study provides the practical implications that the performance and effectiveness of R&D collaboration may rely on the nature of cooperation partners and internal organization capability.

• Knowledge Management Research
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• v.10 no.4
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• pp.43-60
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• 2009

The current study attempts to provide the field of knowledge management with theoretical grounds from the perspective of social network, resource dependency, and institutional theory. Social network theory considers that knowledge management plays a critical role in organizational innovation through the process of knowledge sharing/creation, communication systems, and a cooperative culture and trust, whereas resource dependency perceives knowledge management as contributing to cost reduction through the process of knowledge capture/storage, database systems, and reward/incentive systems. Plus, from the perspective of institutionalization, this study discusses that organizations can not benefit from knowledge management if it is adopted with the motive of isomorphic change. Finally, this study compares and integrates the three perspectives, and discusses the implications and limitations.