• Proceedings of the Korea Society for Industrial Systems Conference
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• 2007.02a
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• pp.190-196
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• 2007

With the rapid development of electronic commerce, online reputation management systems are of increasing importance in building trust and managing risk. Reputation rating mode and aggregating method are the most crucial parts of a reputation management system. In this paper, we analyze the merits and disadvantages associated with the rating mode and aggregating approach of current reputation management systems, and put forward some suggestions. These suggestions are helpful in improving current reputation management systems and developing new reputation management systems.

• 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.

• Management & Information Systems Review
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• v.33 no.2
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• pp.1-12
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• 2014

The purpose of this study is to examine the the effect of organizational reputation on company commitment, turnover intention and the moderating effect of employer trust. Despite the progress of organizational reputation studies, There is a shortage of employee-perspective studies. This study considered the limitation of previous study and the help to the company. This study built a exploratory model that there is causal relationship of organizational reputatio to company commitment, turnover intention and the moderating effect of employer trust on the effect of company commitment, and turnover intention. To test hypotheses empirically, the data was collected from 239 iron and steel company's workers in Po-hang. The study showed following results. First organizational reputation had the effect on the company commitment and turnover intention significantly. a positve reputation in an organization is associate with commitment and negative reputation in an organization is associate with turnover. Second perceived employer trust played the role as the moderating variable in relation with the effect of reputation on the company commitment. The implication of these results to the union and the company, the limitation and the direction of future study were suggested.

• 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.

• Asia pacific journal of information systems
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• v.13 no.3
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• pp.1-21
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• 2003

Facing competitive and complicated business environment, many companies are developing new and diverse organization forms not only to overcome to minimize costs and risks but also to maximize the efficiency of an organization. Virtual organization is one of the representative forms allowing firms to create this value though a link of core competency among firms. In order to explain the performance of virtual organization in terms of efficiency, this study utilizes a concept of trust since it is recently considered as one of core concept to enhance the cooperative performance between firms and also virtual organizations success or failure can not be properly explained by traditional transaction-cost based economic point of view. Based on previous literature this study derives three success factors, organizational reputation, skill Uniqueness, and interpersonal trust and studies how three factors influence on the efficiency of virtual organization. Findings conducted with a questionnaire survey are as follow: first, organization reputation and skill uniqueness between virtual organization's transaction parties are important elements in the success of virtual organization. Second, interpersonal trust affected by organization reputation and skill uniqueness decides virtual organization's efficiency.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.1-26
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• 2013

Estimating levels of user trust is important for maintaining continuous use of e-commerce systems because trust alleviates user concerns about the invisibility of service providers or their reputation. Conventional trust estimation approaches such as policy-and reputationbased reasoning have focused on the experience of e-commerce systems at an early stage. However, only a few trust reasoning methods have considered the mature stage, which is more related to continuance intention. We propose a trust reasoning method dedicated to the mature stage of using e-commerce systems. In particular, a new method of unobtrusively estimating the degree of user intimacy is developed, because intimacy has been highly associated with trust as well as reputation. Our experiments show that the proposed method is valid and can be used in conjunction with reputation-based trust reasoning.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.6214-6242
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• 2019

Routing in mobile ad hoc networks is performed in a distributed fashion where each node acts as host and router, such that it forwards incoming packets for others without relying on a dedicated router. Nodes are mostly resource constraint and the users are usually inclined to conserve their resources and exhibit selfish behaviour by not contributing in the routing process. The trust and reputation models have been proposed to motivate selfish nodes for cooperation in the packet forwarding process. Nodes having bad trust or reputation are detected and secluded from the network, eventually. However, due to the lack of proper identity management and use of non-persistent identities in ad hoc networks, malicious nodes can pose various threats to these methods. For example, a malicious node can discard the bad reputed identity and enter into the system with another identity afresh, called whitewashing. Similarly, a malicious node may create more than one identity, called Sybil attack, for self-promotion, defame other nodes, and broadcast fake recommendations in the network. These identity-based attacks disrupt the overall detection of the reputation systems. In this paper, we propose a reputation-based scheme that detects selfish nodes and deters identity attacks. We address the issue in such a way that, for normal selfish nodes, it will become no longer advantageous to carry out a whitewash. Sybil attackers are also discouraged (i.e., on a single battery, they may create fewer identities). We design and analyse our rationale via game theory and evaluate our proposed reputation system using NS-2 simulator. The results obtained from the simulation demonstrate that our proposed technique considerably diminishes the throughput and utility of selfish nodes with a single identity and selfish nodes with multiple identities when compared to the benchmark scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.4 no.4
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• pp.547-559
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• 2010

As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The average trust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. Furthermore, we precisely describe the relationships among reputation, trust and average trust through concrete examples showing their computations. We apply our trust model to online social networks in order to show how trust mechanisms are involved in the rational purchasing decision-making of buyers and sellers, and we summarize our simulation results.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.494-499
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• 2007

Recently, owing to the rapid development of Internet and information technology in China, the growth of consumers' purchasing activities in the Internet Shopping Mall has been truly phenomenal. Thus, it is considered essential to understand what affects Chinese consumer's intention to purchase in the Internet Shopping Mall. Based on prior studies, trust is thought as a key factor affecting on Chinese consumers' purchasing intention. Hence, the purpose of the study is to investigate the effects of Chinese consumer's trust on purchasing intention of Internet Shopping Mall. In order to accomplish the purpose of this study, a research model has been established and it suggests that there are significant relationships between trust and purchasing intention, e-commerce knowledge and trust, perceived reputation and trust, perceived risk and trust, perceived ease of use and purchasing intention. The results of the study show that the relationships between these variables are all significant. This research confirms the important effect of Chinese consumer's trust on purchasing intention. Implications of these findings are discussed for researchers and practitioners.

• The Journal of Information Systems
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• v.20 no.4
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• pp.233-254
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• 2011

Although e-commerce is growing fast, e-commerce consumers are still under higher risk and uncertainty in the comparison of the traditional commerce's. Consumer review boards of online shopping malls are good measures to help buyer's decision making, and should be managed effectively by sellers. We formulate the research model on consumer trust formation on seller managed web review boards on the background of previous literatures on e-WOM and trust. Our data analysis with 368 samples shows seller's reputation, e-service quality, perceived reviewer's benevolence and ability have significant positive effect on the trustworthiness of the board. Product involvement shows weak negative moderation effect on the relationship between perceived reviewer's benevolence and trustworthiness of review boards.