Predicting e-services adoption: a perceived risk facets perspective

By Mauricio Featherman, Paul A. Pavlou. Int. J. Hum. Comput. Stud., 2003

3,202 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1741947f385ae50bbb50c879655ada49a45860ba

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

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Citations in the corpus

Backpackers’ perceived risks towards smartphone usage and risk reduction strategies: A mixed methods study (2019, background): “, 2010; Pasquinucci, 2009). Situational factors, such as those mentioned previously, can result in different PR that needs to be understood by researchers. Moreover, Vanola (2013) also hints that tourism destinations can collect information about mobile users' activities, which may be highly persona”
Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry (2017, background): “Featherman and Pavlou (2003) suggest measuring all first-and second-order constructs for perceived risk as reflective items.”
Determinants of intention to use the mobile banking apps: An extension of the classic TAM model (2017, positive): “Perceived risk constitutes a multidimensional construct built from several different factors explaining the overall risk associated with the adoption of a certain innovation, purchase or service (Featherman & Pavlou, 2003; Aldás et al., 2011), as we have defined in this research.”
The influence of perceived value on purchase intention in social commerce context (2017, neutral): “Third, this study did not decompose perceived risk into different dimensions, such as privacy risk, financial risk and social risk (Featherman and Pavlou, 2003).”
Mobile-banking adoption by Iranian bank clients (2014, background): “Perceived risk and trust are interrelated concepts and have been frequently identified as key barriers to adopting online and mobile services (see Featherman and Pavlou, 2003; Gefen et al., 2003; Lee and Turban, 2001).”
Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture (2008, background): “One can argue that because security and risk are closely related to trust [10, 18, 65, 74], trust is, in fact, a tacit component of many Web site quality studies.”
A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects (2007, background): “TAM has been tested with students as subjects [23] [85] and with non-students [3] [20].”
The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing (2011, background): “Privacy risk has been defined as the degree to which an individual believes that a high potential for loss is associated with the release of personal information to a firm [28,44].”
Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk (2014, background): “Prior research has examined the multidimensional nature of perceived risk, e.g. Featherman & Pavlou (2003).”