• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.7
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• pp.1569-1584
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• 2013

Ubiquitous interaction in a pervasive environment is the main attribute of smart spaces. Pervasive systems are weaving themselves in our daily life, making it possible to collect user information invisibly, in an unobtrusive manner by known and even unknown parties. Huge number of interactions between users and pervasive devices necessitate a comprehensive trust model which unifies different trust factors like context, recommendation, and history to calculate the trust level of each party precisely. Trusted computing enables effective solutions to verify the trustworthiness of computing platforms. In this paper, we elaborate Unified Trust Model (UTM) which calculates entity's trustworthiness based on history, recommendation, context and platform integrity measurement, and formally use these factors in trustworthiness calculation. We evaluate UTM behaviour by simulating in different scenario experiments using a Trust and Reputation Models Simulator for Wireless Sensor Networks. We show that UTM offers responsive behaviour and can be used effectively in the low interaction environments.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.95-107
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• 2010

This study investigates the influential factors for online shoppers to accept the brand extension of Internet companies. We specifically attend to the trustworthiness of vendor which has emerged vital for Internet-based commerce. After case analysis, we conclude that vendor's trustworthiness has more important influence on the successful brand extension on Internet than product similarity does.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.35-45
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• 2014

Due to the spread of unreliable online information on the social network services, the users are faced with a difficult problem for determining if the information is trustworthy or not. At present, the users should make a decision by themselves throughly for the trustworthiness of the information. Therefore, we need a way to systematically evaluate the trustworthiness of information on the social network services. In this paper, we design a trust index, called KTI (Korean Trust Index for SNS), as a criterion for measuring the trust degree of the information on the social network services. Using KTI, the users are readily able to determine whether the information is trustworthy. Consequently, we can estimate the social trust degree based on the variation of KTI. This paper derives the various factors affecting trust from the properties of the social network services, and proposes a model to evaluate the trustworthiness of information that is directly produced and distributed over the online network. Quantifying the trust degree of the information on the social network services allows the users to make efficient use of the social network.

• International Journal of Knowledge Content Development & Technology
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• v.4 no.1
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• pp.23-37
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• 2014

The Trust and Authority in Scholarly Communications in the Light of the Digital Transition research project1) was a study which investigated the behaviours and attitudes of academic researchers as producers and consumers of scholarly information resources in respect to how they determine authority and trustworthiness. The research questions for the study arose out of CIBER's studies of the virtual scholar. This paper focuses on elements of this study, mainly an analysis of a scholarly publisher's usage logs, which was undertaken at the start of the project in order to build an evidence base, which would help calibrate the main methodological tools used by the project: interviews and questionnaire. The specific purpose of the log study was to identify and assess the digital usage behaviours that potentially raise trustworthiness and authority questions. Results from the self-report part of the study were additionally used to explain the logs. The main findings were that: 1) logs provide a good indicator of use and information seeking behaviour, albeit in respect to just a part of the information seeking journey; 2) the 'lite' form of information seeking behaviour observed in the logs is a sign of users trying to make their mind up in the face of a tsunami of information as to what is relevant and to be trusted; 3) Google and Google Scholar are the discovery platforms of choice for academic researchers, which partly points to the fact that they are influenced in what they use and read by ease of access; 4) usage is not a suitable proxy for quality. The paper also provides contextual data from CIBER's previous studies.

• Asia Marketing Journal
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• v.13 no.4
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• pp.159-189
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• 2012

What attracts consumers to bloggers' reviews? Consumers would be attracted both by the Bloggers' expertise (i.e., knowledge and experience) and by his/her unbiased manner of delivering information. Expertise and trustworthiness are both virtues of information sources, particularly when there is uncertainty in decision-making. Noting this point, we postulate that consumers' motives determine the relative weights they place on expertise and trustworthiness. In addition, our hypotheses assume that tie strength moderates consumers' expectation on bloggers' expertise and trustworthiness: with expectation on expertise enhanced for power-blog user-group (weak-ties), and an expectation on trustworthiness elevated for personal-blog user-group (strong-ties). Finally, we theorize that the effect of credibility on willingness to accept a review is moderated by tie strength; the predictive power of credibility is more prominent for the personal-blog user-groups than for the power-blog user groups. To support these assumptions, we conducted a field survey with blog users, collecting retrospective self-report data. The "gourmet shop" was chosen as a target product category, and obtained data analyzed by structural equations modeling. Findings from these data provide empirical support for our theoretical predictions. First, we found that the purposive motive aimed at satisfying instrumental information needs increases reliance on bloggers' expertise, but interpersonal connectivity value for alleviating loneliness elevates reliance on bloggers' trustworthiness. Second, expertise-based credibility is more prominent for power-blog user-groups than for personal-blog user-groups. While strong ties attract consumers with trustworthiness based on close emotional bonds, weak ties gain consumers' attention with new, non-redundant information (Levin & Cross, 2004). Thus, when the existing knowledge system, used in strong ties, does not work as smoothly for addressing an impending problem, the weak-tie source can be utilized as a handy reference. Thus, we can anticipate that power bloggers secure credibility by virtue of their expertise while personal bloggers trade off on their trustworthiness. Our analysis demonstrates that power bloggers appeal more strongly to consumers than do personal bloggers in the area of expertise-based credibility. Finally, the effect of review credibility on willingness to accept a review is higher for the personal-blog user-group than for the power-blog user-group. Actually, the inference that review credibility is a potent predictor of assessing willingness to accept a review is grounded on the analogy that attitude is an effective indicator of purchase intention. However, if memory about established attitudes is blocked, the predictive power of attitude on purchase intention is considerably diminished. Likewise, the effect of credibility on willingness to accept a review can be affected by certain moderators. Inspired by this analogy, we introduced tie strength as a possible moderator and demonstrated that tie strength moderated the effect of credibility on willingness to accept a review. Previously, Levin and Cross (2004) showed that credibility mediates strong-ties through receipt of knowledge, but this credibility mediation is not observed for weak-ties, where a direct path to it is activated. Thus, the predictive power of credibility on behavioral intention - that is, willingness to accept a review - is expected to be higher for strong-ties.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.49-65
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• 2012

This study aims to investigate the factors influencing followers' continuous usage intention of twitter based on Elaboration Likelihood Model. In particular, central route(information itself) and peripheral route(twitterian's trustworthiness) are tested to reveal which has a more influential role in effecting the continuous usage intention of power-twitter. Furthermore, this study tests the relationship of users' attitude and continuous usage intention. The results indicate that argument quality, accuracy(central route), source expertise and source trustworthiness (peripheral route) have an influence on attitude. However, trustworthy on central route is not significant. Argument quality, trustworthy, accuracy(central route) and source expertise(peripheral route) have an influence on perceived usefulness. But source trustworthiness on peripheral is not significant. Attitude has an influence on perceived usefulness, and attitude and perceived usefulness both have an influence on perceived usefulness. In conclusion, central route is more influential than peripheral route in forming a positive attitude towards arguments, which in turn leads to the perception of twitter's usefulness, and in the end brings the continuous usage intention of twitter.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1533-1556
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• 2017

The concept of trust in vehicular ad hoc networks (VANETs) is usually utilized to assess the trustworthiness of the received data as well as that of the sending entities. The quality of safety applications in VANETs largely depends on the trustworthiness of exchanged data. In this paper, we propose a self-organized distributed trust computing framework (DTCF) for VANETs to compute the trustworthiness of each vehicle, in order to filter out malicious nodes and recognize fully trusted nodes. The proposed framework is solely based on the investigation of the direct experience among vehicles without using any recommendation system. A tier-based dissemination technique for data messages is used to filter out non authentic messages and corresponding events before even going farther away from the source of the event. Extensive simulations are conducted using Omnet++/Sumo in order to investigate the efficiency of our framework and the consistency of the computed trust metrics in both urban and highway environments. Despite the high dynamics in such networks, our proposed DTCF is capable of detecting more than 85% of fully trusted vehicles, and filtering out virtually all malicious entities. The resulting average delay to detect malicious vehicles and fraudulent data is showed to be less than 1 second, and the computed trust metrics are shown to be highly consistent throughout the network.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.187-207
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• 2005

In the Internet-based B2C e-commerce, trust has been recognized as a critical factor to reduce uncertainties, through interacting with a well-known specific shopping mall. In this study, we view customer trust as not a unitary concept but multidimensional one consisted of the trustworthiness of trustee, familiarity with the specific shopping-mall, disposition to trust, and institution-based trust. In this study, first, we considered the trustworthiness of trustee consisted of capability, benevolence, and integrity as one of the major factors to build customer trust on the specific Internet shopping-mall. In the context of the Internet e-commerce, the role of institutional structures is very important to assure the customer trust from the various opportunistic behaviors because of the characteristics of internet-based commerce such as impersonality, the lack of information on the other party, and the transactions with a number of anonymous people. Second, we examined the effect of the institution-based trust built by institutional structures on customer trust. Third, we examined the effect of customer trust and familiarity on retaining customer loyalty. Our findings showed that customer trust and familiarity played a major role in retaining customer loyalty with the specific shopping-mall. In conclusions, we discussed the strategies to build the customer loyalty for maintaining the customer. We suggest customer trust and familiarity for the factors to bind the customer with the specific shopping-mall based on these results.

• Journal of Distribution Science
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• v.19 no.9
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• pp.41-52
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• 2021

Purpose: Virtual reality is a unique technology to distribute data and demonstrates user's understanding towards complex products. The objective of this research is to investigate the impact of virtual reality on real world purchase intention of automotive cutting tools in Thailand's exhibitions. Hence, the research framework was constructed by telepresence, perception narrative, authenticity, trustworthiness, functional value, aesthetics, and purchase intention. Research design, data and methodology: Samples were collected from 500 visitors who participated in the selected top two metalworking exhibitions. Mix sampling approach is applied by using non-probability sampling methods of purposive or judgmental sampling, quota sampling, and convenience sampling method, respectively to reach target samples. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze and confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicate that authenticity, functional value, and trustworthiness induced higher experiential value towards purchase intention. Those variables are stimulated by telepresence and perception narrative towards VR experience. Conclusions: Consumer's purchase intention towards VR experience on engineering cutting tools rely on consumer's sense of authenticity, trustworthiness, and functional value. Hence, marketing practitioners in automotive companies are encouraged to develop VR which focusing on significant factors to enhance consumers purchase intention.

• Archives of design research
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• v.14 no.3
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• pp.37-48
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• 2001

This paper is a study on how women consumers purchase are affected by models who appear in advertisements for cosmetics, focusing especially on studies concerning the impact that models have on advertisement strategies of the cosmetic industry in korea. In surveys conducted, consumers responded that cosmetic advertisement models should examplify a expertness and trustworthiness attitude more than just display their own physical attractiveness. The consumers who bought cosmetic products based on its endorsement from particular models responded that they had a positive reaction to the models physical attractiveness and likability while experiencing a negative reaction to the model's expertness and trustworthiness attitude. Women consumers are interested in cosmetic advertisement models, but do not necessarily trust them. Hence, the use of a Particular model does not directly affect the consumers Purchasing decision. Famous stars often appear in cosmetic advertisements in korea, and targeted consumers have a very positive response to their physical attractiveness, familiarity and perceived likability. However, the consumers have a completely negative response to the models in regards to their expertness, trustworthiness, and their sense of similarity with the model. The models, then, should be used in these advertisements to try and uphold the fellowing qualities. expertness in regards to having some knowledge of, experience with, and expertness in using the cosmetic produces, trustworthiness when expressing their own opinion of the product, matching image of products and targeted consumers.