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This paper aims to study factors influencing trust and purchase intention on the Internet, develop model of trust and purchase intention by empirical data, and analyze path of antecedents influencing purchase intention. This study identifies the factors proposed in the existing social commerce constructs: recommendation and referrals, rating and reviews, forums and communities, together with three...
The purpose of this study is to investigate factors influencing the satisfaction of e- tax filing website of Small and Medium Enterprises (SMEs) in Bangkok and the vicinity in Thailand. In this study, the researcher uses quantitative approach methodology which adopts Structural Equation Modeling (SEM). The researcher identifies four dimensions which consist of information quality, system quality in...
Self-service technologies like mobile banking service can bring different experience and interest than traditional bank. Internet banking has been one of the most profitable businesses in e-commerce. Like internet banking, mobile banking has emerged rapidly in recent years in China. Although studies have been investigating the adoption of mobile banking, they focused more in the positive factors....
Phishing constitutes more than half of all reported security incident son the Internet. The attacks cause users to erroneously trust websites and enter sensitive data because the email notifications and the website look familiar. Our hypothesis is that familiarity can be defined formally using history data from the user's computer, and effective presentation of the data can help users distinguishphishing...
Online consumer trust in Business to Consumer (B2C) e-commerce trust has been viewed as a key differentiator that determines the success or failure of many companies conducting their business over the Internet. In order to explore the influence factor of consumer trust and their priority, and to look for the way to promote consumer trust, an Analytic Network Process (ANP) model is constructed in this...
Reputation aggregation methods are used in unstructured peer-to-peer(P2P) networks to evaluate the trust-worthiness of participating peers and to combat malicious peer's behaviors. In reputation aggregation methods, each peer collects local scores by each transaction and calculates global scores by aggregating local scores. Using the global scores, individual peer can interact with reliable peers...
This paper presents the various mechanisms for virtual machine image distribution within a large batch farm and between sites that offer cloud computing services. The work is presented within the context of the Large Hadron Collider Computing Grid (LCG), it has two main goals. First it aims at presenting the CERN specific mechanisms that have been put in place to test the pre-staging of virtual machine...
One way to minimize threats in P2P system is to exploit reputation to help evaluate the trustworthiness and predict the future behaviors of peers. Most existing methods for trust management, which are based on reputation, focus on preventing network from the malicious peers. In fact, peers' capabilities to fulfill the tasks are also important factors, which will greatly impact the efficiency of P2P...
Consumer trust is a critical enabler to the success of online retailing and knowledge is one important factor influencing the level of trust. However, there is no consensus on the relationship between knowledge and trust. Some studies argued a negative relationship between knowledge and trust while the others argued positive. This study discussed the relationship between knowledge, trust in online...
The anonymity and dynamic characters of p2p (peer to peer) system makes p2p become hotbed with selfish and vicious action. In order to solve the problem of node cheating caused by high dynamic property of P2P, this paper designs a security trust model -- BGTR based on the idea of probability model and fuzzy mathematics. The scheme adopts a new query method that the inquiry peer initiates the calculated...
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