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ICIS '00 Proceedings of the twenty first international conference on Information systems
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Consumer trust in an Internet store
Information Technology and Management
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Management Science
Information Systems Research
Measuring Factors that Influence the Success of Internet Commerce
Information Systems Research
Developing and Validating Trust Measures for e-Commerce: An Integrative Typology
Information Systems Research
Predicting e-services adoption: a perceived risk facets perspective
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Understanding online purchase intentions: contributions from technology and trust perspectives
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Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
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A Theoretical Integration of User Satisfaction and Technology Acceptance
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A methodology for construct development in MIS research
European Journal of Information Systems - Special section: PACIS 2004
Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use
Information Systems Research
International Journal of Electronic Commerce
Investigation on the model of consumers' perceived risk-integrated viewpoint
Expert Systems with Applications: An International Journal
Electronic Commerce Research and Applications
Information Systems Research
Trust and TAM in online shopping: an integrated model
MIS Quarterly
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Consumer Piracy Risk: Conceptualization and Measurement in Music Sharing
International Journal of Electronic Commerce
Proactive privacy practices in transition: Toward ubiquitous services
Information and Management
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Perceived risk is an important construct in e-commerce research, but it has not been approached in a manner sufficiently systematic, comprehensive, or detailed to be understood along multiple dimensions instructive for information systems designers. This paper fills the gap by proposing a model of perceived risk based on a well-established marketing theory of risk. It identifies events that expose consumers to harm in e-commerce transactions and measures the dimensions of perceived risk with rigorously developed formative indicators that incorporate the almost unlimited range of unwanted events of potential concern to consumers. This risk construct is placed in a nomological network and tested through an on-line field study of 411 participants aggregated with structural equation modeling. Test results show that the construct e-commerce transaction perceived risk is an aggregate factor with three dimensions: risk of functionality inefficiency, risk of information misuse, and risk of failure to gain product benefit.