Consumer-perceived risk in e-commerce transactions
Communications of the ACM - Mobile computing opportunities and challenges
Building Effective Online Marketplaces with Institution-Based Trust
Information Systems Research
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Information and Management
Communications of the ACM - Medical image modeling
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The Journal of Strategic Information Systems
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International Journal of Electronic Commerce
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International Journal of Electronic Commerce
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Journal of Management Information Systems
Journal of Management Information Systems
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International Journal of Business Information Systems
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International Journal of Electronic Commerce
International Journal of Electronic Commerce
Information Systems Research
International Journal of Networking and Virtual Organisations
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International Journal of Business Information Systems
Investigating online information disclosure: Effects of information relevance, trust and risk
Information and Management
Perceived risks and customer needs of geographical accessibility in electronic commerce
Electronic Commerce Research and Applications
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Electronic Commerce Research and Applications
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International Journal of Business Information Systems
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ACM Computing Surveys (CSUR)
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International Journal of Business Information Systems
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The continuous growth and development of successful e-commerce essentially relies upon consumers' trust in e-commerce transactions. In order to adopt e-commerce, a consumer needs to make judgments in an environment of critical conflicting forces, namely, security, privacy, trust, and risk concerns. This study focuses on the consumers' trust to adopt e-commerce, which comprises purchasing products and services from web vendors, thus employing the model of business to consumer (B2C) e-commerce. The results of the study show that consumers' perceived risk influences their trust in e-commerce transactions, while the concept of perceived privacy evidences itself mainly through perceived security as well as trustworthiness of web vendors. In addition, the institutional trust influences a consumers' perceived risk in e-commerce transactions. The findings also suggest that economic incentives and institutional trust have relationships with consumers' perceived privacy. The overall model fit is tested by structural equation modelling (SEM) using AMOS 18.0 and the hypothesis, assumptions for SEM and descriptive statistics are analysed using SPSS 12.0.