• Journal of Consumption Culture
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• v.15 no.4
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• pp.101-121
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• 2012

In this study we postulated that the trust plays an essential mediating role in the relationship between the corporate social responsibility activities and corporate evaluation and product evaluation. In addition, we examined the perception difference to the Korean-Chinese consumers in these relations. A model integrating four types of CSR activities(economic, legal, ethical, and philanthropic), three dimensions of trust(integrity trust, expertise trust, social benevolence trust), and the corporate evaluation, product evaluation was tested using data of 400 consumers. The results of the data analysis showed that the economic responsibility and ethical responsibility had a significant influence on the integrity trust, expertise trust and benevolence trust in the case of the Korean consumers. But, in the Chinese consumers, the economic responsibility positively influenced on the expertise trust and benevolence trust. The legal esponsibility had a significant impact on the integrity trust and benevolence trust in the case of both Korean consumers and Chinese consumers. Also, ethical responsibility positively influenced on the integrity trust and benevolence trust in the case of Chinese consumers. Finally, philanthropic responsibility had not significant influence on the expertise trust in case of both Korean consumers and Chinese consumers. The results of this study will help corporations to understand the relative importance among the four responsibilities and to make decisions in allocating their resources.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.61-65
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• 2006

This paper is concerned with a quantitative computational trust model which lakes into account multiple evaluation criteria and uses the recommendation from others in order to get the trust value for entities. In the proposed trust model, the trust for an entity is defined as the expectation for the entity to yield satisfactory outcomes in the given situation. Once an interaction has been made with an entity, it is assumed that outcomes are observed with respect to evaluation criteria. When the trust information is needed, the satisfaction degree, which is the probability to generate satisfactory outcomes for each evaluation criterion, is computed based on the outcome probability distributions and the entity's preference degrees on the outcomes. Then, the satisfaction degrees for evaluation criteria are aggregated into a trust value. At that time, the reputation information is also incorporated into the trust value. This paper presents in detail how the trust model works.

• Journal of Korean Society for Quality Management
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• v.34 no.2
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• pp.33-47
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• 2006

This study was designed to examine the casual relationships among trust evaluation factors, trust, customer satisfaction, and re-use intention in the P2P file sharing service. We applied structural equation model to test the hypotheses and research model. As a result of this study, trust evaluation factors affect trust and customer satisfaction and both of trust and customer satisfaction affect re-use intention respectively and significantly. Also trust affects customer satisfaction significantly. Specifically, trust was empirically confirmed as one of the important factors preceding customer satisfaction and re-use intetion in the P2P file sharing service. Therefore, this study shows that trust is important factor that P2P companies have to emphasize to raise user satisfaction and performance.

• Knowledge Management Research
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• v.15 no.3
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• pp.141-168
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• 2014

Purchasing through Internet shopping mall has more uncertainty compared with offline shopping mall. Previous studies have presented that trust plays a role of reducing uncertainty and increasing purchasing intention. In this study, we suggest that third-party assurance and word-of-mouth contribute to the formation of trust. In addition, we also propose that ease of product evaluation plays moderating roles in the relationships between third-party assurance, word-of-mouth and trust. For this study, we collected sample data from two groups consisting of online shoppers purchasing the search goods and experience goods categorized by type of ease of product evaluation. Empirical results show that word-of-mouth and third-party assurance have different effects on trust in two groups. The third-party assurance has a stronger impact on trust in online shopping group of the search goods than in the experience goods, while word-of-mouth in the online community has a stronger impact on trust in online shopping group of the experience goods than in the search goods. We expect that this result will provide researchers and managers who are interested in trust formation factors in online shopping mall with useful theoretical and practical implications.

• International journal of advanced smart convergence
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• v.13 no.3
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• pp.18-30
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• 2024

With the recent popularity and technological development of online streaming video, interactive digital narrative (IDN hereafter) videos became one of the main formats for users. The current study proposed that the level of interactivity of IDN videos influences users' evaluation of the video. The concept of flow was introduced as a mediating variable between interactivity and the users' evaluation. Further, the type of IDN videos, users' familiarity with IDN videos and trust toward platforms were employed as moderating variables. Data from a survey verified the mediating role of flow, moderating role of users' familiarity and trust toward platforms. the type of IDN videos, users' familiarity with IDN videos and trust toward platforms. We have observed a significant moderating effect of users' trust toward the platform on users' evaluation resulting from flow experience. It is evident that the higher the level of users' trust towards the platform, the less pronounced the impact of flow experience on users' evaluation. Theoretical and managerial implications are discussed.

• Convergence Security Journal
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• v.9 no.4
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• pp.29-34
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• 2009

The many transaction occurs because of service will not be able to trust in mobile Ad-hoc Network. Overcomes like this problem point with the plan for, This paper proposes the trust evaluation mechanism which is the possibility becoming the standard of the node selection which provides a better service by using the transaction message which is basic occurs from within the mobile Ad-hoc network and in the transaction message which is additional. At last, this paper embodies the trust mechanism which proposes, confirms the trust value which is evaluated with NS2 simulator.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.653-658
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• 2006

Trust can be defined as the level of subjective probability with which an agent will perform a particular action. This paper proposes a comprehensive fuzzy trust model which incorporates dispositional trust, general trust, and situational trust and reputation information. In the model, the preference degrees for the interaction outcomes with respect to the evaluation criteria are expressed in a fuzzy set, and Sugeno's fuzzy integral is employed to aggregate the satisfaction degrees with respect to the importance of evaluation criteria which can be assigned in a way to preserve the properties of the ${\lambda}-fuzzy$ measure.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.1
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• pp.33-40
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• 2008

This paper presents a new scheduling scheme in wireless distributed network. To overcome the limited information about unfamiliar mobile nodes and to reduce the required system performance, we propose a scheduling algorithm of job allocation based on the trust model. The suggested scheduler evaluate an unfamiliar mobile node's trust and make reference to the trust value of neighboring scheduler. This scheduling algorithm can avoid malicious or selfish mobile nodes by assigning low trust values. We also present a trust evaluation metric and show the efficiency of suggested scheduling algorithm by performance evaluation.

• Journal of KIISE
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• v.43 no.1
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• pp.106-118
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• 2016

Recently, as the generation and sharing of web data have increased, the importance of a social semantic web that combines the semantic web and the social web has also been increasing. In this paper, we propose a trust evaluation scheme based on provenance by extending the PROV model in the social semantic web environment. The proposed scheme manages the provenance of web data and adds the necessary elements for trust evaluation in the PROV model of W3C. The extended PROV model supports data management and provenance tracing. The proposed trust evaluation scheme considers various parameters such as user trust, original data trust, and user evaluation. The evaluated trust is managed as provenance. When processing a query, the proposed scheme generates a result by considering the trust. Therefore, the proposed scheme can manage the provenance of web data and compute data trust correctly by using such various parameters. The evaluated trust becomes a criterion to determine whether the query result can be trusted or not. In order to show the validity of the proposed scheme, we verify its performance using SPARQL queries.

• ETRI Journal
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• v.32 no.2
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• pp.348-350
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• 2010

This letter presents an enhancement of EigenTrust. Using the beta distribution, local trust values can be more correctly evaluated. Simulation shows that the proposed scheme calculates the local trust more correctly by up to 8%. For personalization, the proposed scheme provides cumulative transitive values from the local trust to the global trust with mathematically guaranteed convergence.