• Title, Summary, Keyword: Trust

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A Robust and Adaptive Trust Management System for Guaranteeing the Availability in the Internet of Things Environments

  • Wu, Xu
    • 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.

Measuring Trusts And The Effects On The Consumers' Buying Behavior

  • LE, Nguyen Binh Minh;HOANG, Thi Phuong Thao
    • The Journal of Distribution Science
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    • v.18 no.3
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    • pp.5-14
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    • 2020
  • Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

A Study on Transitivity and Composability of Trust in Social Network (소셜네트워크에서 신뢰의 전이성과 결합성에 관한 연구)

  • Song, Hee-Seok
    • Journal of Information Technology Applications and Management
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    • v.18 no.4
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    • pp.41-53
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    • 2011
  • Trust prediction between users in social network based on the trust propagation assumes properties of transitivity and composability of trust propagation. But it has been hard to find studies which test on how those properties have been operated in real social network. This study aims to validate if the longer the distance of trust paths and the less the numbers of trust paths, the higher prediction error occurs using two real social network data set. As a result, the longer the distance of trust paths, we can find higher prediction error when predicting level of trust between source and target users. But we can not find decreasing trend of prediction error though the possible number of trust paths between source and target users increases.

An Empirical Study on the Effect of Trust to RFID Technology Acceptance (신뢰가 RFID 기술수용에 미치는 영향에 관한 실증연구)

  • Lee, Mi-Sook
    • Journal of Technology Innovation
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    • v.16 no.1
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    • pp.47-79
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    • 2008
  • RFID(Radio Frequency Identification) technologies enjoy an enormous interest in all throughout the world, not only from the research but also from corporate practice. Although bar code is gradually substituted with RFID technology, the use of RFID technology in the companies is at the early stages and it's potential value isn't fully realized yet. RFID-related-trust is needed to solve these problems because these phenomena are related to uncertainties or risks disturbing RFID diffusion. This paper focuses on trust in the adoption of RFID and analyzes the effect to RFID technology acceptance of trust. This paper proposes 5 second constructs of trust; institutional trust, trust between companies, trust within company, technology trust, and service provider trust. In order to analyze some relationships between trust variable and 4 variables in TAM, structural equation modeling(SEM) is developed and SPSS 12.0 and AMOS 7.0 are used for analyses.

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The role of trust in online shopping: A hierarchical relationship perspective (온라인 쇼핑에서 신뢰의 역할 - 위계적 관계 관점)

  • Lee, Jae Nam;Kang, Minhyung
    • Knowledge Management Research
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    • v.14 no.3
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    • pp.15-35
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    • 2013
  • Nowadays, online shopping has become popular among consumers. As such, gaining loyal online shopping customers has become a rising concern for online shopping vendors. In this study, we investigated the hierarchical relationships among Lewicki and Bunker's three different types of trust, namely, calculus-based trust, knowledge-based trust, and identification-based trust, in the context of online shopping and their impacts on customer satisfaction and loyalty. A total of 104 responses from online shopping users were analyzed to test the proposed model and its hypotheses using Partial Least Squares (PLS). The results showed that, in the online environment, hierarchical relationships between different types of trust exist and that, among them, knowledge-based trust has the strongest impact on customer satisfaction. This finding implied that practitioners should focus on developing appropriate online strategies for building trust-based relationships with online customers.

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A Method to Analyze the Structure of Interpersonal Trust Network in SNS (SNS 구성원 간 신뢰망 구조 분석방법)

  • Song, Hee Seok
    • 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.

The Effects of the Benefit-Sharing Activities through Dynamic Trust on Recontract Intention in Foods-Service Franchisers (외식 프랜차이즈 사업의 성과공유활동이 동태적 신뢰를 통해 재계약의도에 미치는 영향)

  • Kim, Ha-Kyung;Park, Hyeon-Suk
    • The Journal of Distribution Science
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    • v.14 no.7
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    • pp.101-114
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    • 2016
  • Purpose - The aim of this study is to investigate the benefit-sharing activities. They affect contract renewal intention between franchisers and franchisees that are linked through a contract with the intention of building their relationship from the level based on dynamic trust. This study will show a new approach on qualitative growth and consolidation of competitive power and may well be able to suggest practical ways to strengthen directions in the field of franchise industries. Research design, data, and methodology - In this study, based on literature review, we separated logistical-supporting activities and non-logistical-supporting activities from benefit-sharing activities. We modeled how benefit-sharing activities influence contract renewal intention of franchisees by dynamic trust. In particular, considering the possibility of trading concepts and characteristics of trust between providers opportunistic behaviors was defined as variables, depending on the situation and dynamic characters reveal their relationship trust concept. That is, dynamic trust having the possibility of changing depending on opportunistic risks and interdependencies by Lewis & Weigert(1985, 2012) was classified into transitional-based trust, calculated based trust, relational-based trust and balance-based on trust. The total of 104 samples from domestic franchisees being with franchisees were collected by using a structural composed questionnaire. Results - The results are as following. Benefit-sharing activities in logistical supporting activities appeared to affect the multidimensional concept of transitional trust, calculated based on trust, relationship-based trust and balance based on trust dynamic trust with all-defined impact. Non-logistical supporting activities appeared to affect significantly the positive (+) to the dynamic trust concept except transitional trust. Lewis & Weigert(1985; 2012) have proposed a dynamic confidence calculated from relations within-based trust relationship based on trust appears to affect the significant positive (+) to the balance-based confidence transactions confidence mechanism of the system side in the verified relationship. Finally, a relationship based on trust and confidence in the balance based on the Influence of dynamic renewed confidence showed significantly affect the positive(+). In particular, the balance based trust showed the acts as a mediating factors between relational trust and confidence and renew calculated. Conclusion - From the above these results, the significance from this study is as following. First, the proposed activity is to share and validate the approach by identifying the potential in the relationship from the contract with building dynamic trust, and one of the ways from the franchise headquarters and affiliated merchants mutual growth through win-win cooperation in sharing activities. Next, the dynamic segmentation confidence to suggest the possibility can be broken down over the validity and reliability test for each concept. In addition, by identifying the relationship between the dynamic level of confidence granular multi-dimensional concept, to determine the level of trust with a dynamic relationship between risk and interdependencies can be possible in franchise industries. In order to maintain and develop their mutual relationship, franchise industries should propose confidence-building steps to promote their quality improvement.

A Trust Model in a Distributor-Supplier e-Partnership: The Mediating Role of Perceived Risk

  • Kim, Jin-Baek
    • Asia pacific journal of information systems
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    • v.20 no.4
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    • pp.1-23
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    • 2010
  • Some researches insist that, to participate in an e-partnership, a distributor needs a given level of trust to reduce the perceived risk of an e-partnership to his/her own threshold. However, other researches insist that if a distributor has only a given level of trust in his/her suppliers, irrelevant of the perceived risk level, he/she participates in the e-partnership. Thus, from the perspective of a distributor, this study built a trust model in which these two viewpoints were reflected. And then this study examined whether or not perceived risk mediates an influence of trust to e-partnership. The proposed trust model was tested with 265 questionnaires about a distributor-supplier e-partnership in food wholesale markets. The analysis results Indicated that perceived risk partially had a mediating effect between trust and e-partnership Intention. That is, of the two risk types, only perceived performance risk mediated an influence from competence trust to e-partnership intention. Relational risk did not play a mediating role between goodwill trust and e-partnership intention. This result Implies two managerial meanings. First, a distributor Intends to engage In e-partnership with his/her supplier, irrelevant of relational risk's level if goodwill trust level surpasses his/her own threshold. Thus, suppliers should concentrate more effort in developing goodwill trust than in reducing relational risk. To develop goodwill trust, they should endeavor to establish mutual interests and individual trust with their distributor, and to utilize institutional trust bases. Second, a distributor requires a certain competence In his/her suppliers to sufficiently reduce performance risk caused bye-partnership. Thus, to develop competence trust in e-partnership, suppliers should improve on any lack of competence and build a good reputation.

The Study the Role of Trust and Familiarity of the E-commerce involved in Inquiring and Purchasing Behavior (전자상거래 기업에 대한 소비자의 신뢰와 친숙함이 소비자의 탐색행동과 구매행동에 미치는 영향에 관한 연구)

  • Hong Yong-Ki;Lee Yoon-Hwa;Han Kwang-Suk
    • Management & Information Systems Review
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    • v.18
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    • pp.183-199
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    • 2006
  • This study examines this intriguing idea In the context of the E-commerce involved in inquiring and purchasing books on the internet. Survey data from 154 potential users support and offend this hypothesis. The data show that both familiarity with an internet vendor and its processes and trust in the vendor influenced the respondent's intentions to inquire about books, it is primarily people's dispositions to trust that affected their trust in the vendor. The data support the basic assumption of the study both trust and familiarity influence E-commerce. Also, the study show that both trust in a Internet vendor and familiarity with the vendor and its procedures influence two distinct aspects of I-commerce intentions in book selling sites: inquiry and purchase. The influence if familiarity and trust are strong on people's intentions to purchase. The study show that trust and familiarity are distinctly different constructs, and that trust is significantly affected by familiarity, and not only by people's disposition to trust. The research model thus shows both trust and familiarity influence behavioral intentions. In this study, familiarity was introduced primarily as an antecedent of trust, while its role in increasing I-commerce was not as emphasized as that of trust. However, the importance of familiarity might be greater: familiarity influences both purchase intentions and inquiry intentions only slightly less than trust does.

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TSTE: A Time-variant Stochastic Trust Evaluation Model in Social Networks

  • Li, Jingru;Yu, Li;Zhao, Jia;Luo, Chao;Zheng, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.6
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    • pp.3273-3308
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    • 2017
  • Building appropriate trust evaluation models is an important research issue for security guarantee in social networks. Most of the existing works usually consider the trust values at the current time slot, and model trust as the stochastic variable. However, in fact, trust evolves over time, and trust is a stochastic process. In this paper, we propose a novel time-variant stochastic trust evaluation (TSTE) model, which models trust over time and captures trust evolution by a stochastic process. Based on the proposed model, we derive the time-variant bound of untrustworthy probability, which provides stochastic trust guarantee. On one hand, the time-variant trust level of each node can be measured by our model. Meanwhile, by tolerating nodes with relatively poor performance, our model can effectively improve the node resource utilization rate. Numerical simulations are conducted to verify the accuracy and consistency of the analytical bounds on distinguishing misbehaved nodes from normal ones. Moreover, simulation results on social network dataset show the tradeoff between trust level and resource utilization rate, and verify that the successful transmission rate can be improved by our model.