• The Journal of Information Systems
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• v.19 no.4
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• pp.65-85
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• 2010

The importance of communities of practice(CoP) as an organizational informal unit for fostering knowledge transfer and sharing gains a lot of attention from KM researchers and practitioners. Since most of CoPs are formulated online these days, the credibility or trustworthiness of knowledge contents circulated within a certain CoP should be considered thoroughly for them to be fully utilized safely. Here comes the need for an appropriate trust measuring methodology to determine the true value of knowledge given by unknown people through an online channel. In this paper, an improved trust measuring method is proposed using new trust variables such as level of degrees derived from the relationships among community users. In addition, activeness, relevance, and usefulness of the knowledge contents themselves, which are calculated automatically using a text categorization technique, are also used for trust measurement. The proposed framework incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of trust involved in specific knowledge artifacts concerned.

• International Commerce and Information Review
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• v.9 no.1
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• pp.3-21
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• 2007

The explosive growth of e-marketplace transactions requires an appropriate trust measuring framework to protect involving transacting entities such as buyers and sellers. As a strategic competitive edge, e-marketplace service providers have been adopting various system features that make sure no one transacting entity takes a major risk in online transactions involved. In this paper, an improved trust measuring method using fuzzy theory for an e-marketplace is proposed. The proposed methodology incorporates fuzzy set and calculation concepts to help build trust matrices and models, which are used to measure the level of risk involved in a specific e-marketplace transaction concerned. The proposed framework can be utilized to optimize the transaction costs by recommending a differentiated transaction process according to the risk level involved in each online transaction.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.97-112
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• 2016

Many studies have pointed out that trust is the most important component of social capital. Although there have been lots of attempts to measure level of trust between members of community, it is hard to find studies which examine trust from the standpoint of structural aspects. Because of the recent rapid growth of SNS and openness trend on members and their friendship information, it became possible to understand the structure of trust relationships among users in SNS. This study aims to facilitate interpersonal trust by comparing the structure of the trust network among social network users. For this purpose, it proposes a method to explore the structure of trust network and strategies to evolve toward more open structure. In experiments to distinguish structure of trust network with three social network communities, it is discovered that ADVOGATO has characteristics of open and collective network together whereas EPINION and FILMTRUST have collective and open characteristics respectively.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.2
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• pp.17-33
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• 2003

The explosive growth of the internet-based transactions requires not only a secure payment system but also an appropriate trust measuring methodology and secure transaction protocols to guarantee the minimal risk for the transacting entities involved in specific transactions. Especially, in internet auction systems where either buyers or sellers or both can be more than one in one transaction, providing those systems that make sure no one transacting entity takes a major risk becomes critical. In this paper, an improved trust measuring method using a relationship-based internet community for an auction system is proposed. The proposed system incorporates fuzzy set and calculation concepts to help build trust matrices and models, which is used to measure the level of risk involved in a specific auction trade concerned. Also, to optimize the auction trade process in terms of cost and time, the proposed system recommends a differentiated trade protocol according to the risk level involved in each auction trade. To test the appropriateness of the proposed trusted auction system, a prototype system has been developed under a Windows-NT environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2396-2413
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• 2018

Trust management is one of the most challenging issues for the highly heterogeneous Internet of Things (IoT). In the context of the IoT, it is difficult to evaluate the node's trustworthiness in the same trust model when a node provides different services. Guaranteeing the availability of the trust management service is another significant challenge because of the dynamic nature of IoT environments. With these issues in mind, this paper propose a robust and adaptive trust management system for the IoT that is able to measure the trustworthiness of nodes based on feedbacks collected from participants in a specific context and ensure the availability of trust management services. The main contributions of our system are: 1) Proposing a partly decentralized trust management framework, which improves the resiliency of the trust mechanism; 2) Proposing an adaptive trust evaluation scheme and a three-dimensional context representation makes trust evaluation more accurate and specific; 3) Enhancing the adaptive trust evaluation scheme by incorporating a bad behavior factor in trust estimation, which efficiently distinguishes misleading feedbacks from On-Off attacks. Simulation results show the good performance of the proposed system and especially show effectiveness against On-Off attacks compared to other trust mechanisms.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1281-1292
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• 2020

More and more cloud computing services are being applied in various fields; however, it is difficult for users and cloud computing service platforms to establish trust among each other. The trust value cannot be measured accurately or effectively. To solve this problem, we design a service-oriented cloud trust assessment model using a cloud model. We also design a subjective preference weight allocation (SPWA) algorithm. A flexible weight model is advanced by combining SPWA with the entropy method. Aiming at the fuzziness and subjectivity of trust, the cloud model is used to measure the trust value of various cloud computing services. The SPWA algorithm is used to integrate each evaluation result to obtain the trust evaluation value of the entire cloud service provider.

• Asian Journal for Public Opinion Research
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• v.12 no.2
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• pp.102-121
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• 2024

Trust is essential for tax compliance. Various tax management issues might diminish taxpayer trust. As a result, as a measure of transparency in the services of the Indonesia's Directorate General of Taxes (DGT), a method for filing various taxpayer complaints is necessary. Whistleblowing is a service given by the DGT that accepts taxpayer issues and complaints. It may be accessed on the DGT's official website. This strategy was intended to increase compliance by instilling trust among taxpayers. This study aims to show how whistleblowing affects tax compliance by utilizing trust as a mediating variable. The study relied on 400 questionnaires issued directly to East Java I DGT Region taxpayers. SEM-PLS with the Smart-PLS tool was utilized for data analysis. According to the study's findings, whistleblowing positively impacts tax compliance, and trust partially mediates the effect of whistleblowing on tax compliance. The outcomes of this study provide empirical proof for the Slippery Slope Framework's contention that building trust is an essential technique for increasing taxpayer compliance.

• 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 Information Technology and Architecture
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• v.11 no.1
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• pp.33-44
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• 2014

Recently, blogs have attracted much attention as personal media. The power of blogs as a way to provide valuable resources on Internet is so tremendous because of the high speed of information dissemination and the huge influence of the circulated information on Internet users even when the information itself is not true. Especially, contents on blogs that attract a lot of public attention are sometimes reproduced or magnified in an inappropriate way. In this paper, a method to measure the trust level of contents posted on personal blogs is proposed to reduce the damage of wrong information circulated along with blog networks. Trust variables such as relationship data in SNS are used to measure the comparative trust level of blog contents. The structure of the prototype system is also designed to apply this framework to blogsphere.

• Korean Management Science Review
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• v.21 no.2
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• pp.123-143
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• 2004

Internet shoppers interact with Internet shopping mall systems while they shop. To understand why Internet shoppers make purchase, this study view Internet shopping malls as information systems. Although this view point seems reasonable, little previous studies employing this perspective are found in the relevant literature. This study develops a research model where Internet shoppers' transaction intentions are affected by the mediating effects of trust and satisfaction. Trust can mitigate uncertainty of the e-commerce environment for consumers, and satisfaction is widely used to measure the effectiveness of information systems. Therefore, we consider them as key elements in this study. We further employ the construct of website quality to explain why shoppers have different levels of trust and satisfaction. We classify website quality into information quality, system quality. and design quality. We collected 282 survey responses from Internet shoppers who have prior experiences with Internet shopping malls to purchase a product or service. The survey data are used to empirically test the proposed nine research hypotheses using LISREL. The LISREL results indicate that information quality and design quality have significant impact on both satisfaction and trust, while system quality has little relation to trust level. Further, trust is shown to have significant influence on satisfaction. Finally. both trust and satisfaction is strongly related to the future transaction intention.