Perils of Internet fraud: an empirical investigation of deception and trust with experienced Internet consumers
By Stefano Grazioli, Sirkka L. Jarvenpaa. IEEE Trans. Syst. Man Cybern. Part A, 2000
652 citations recorded by the source corpus.
Subfields: Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/003bea6e7e58753d91868d4be363d15ca31d2564
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
In Sociology and Political Science
- Lemuria D. Carter
- Tao Zhou
- Tomas Escobar-Rodriguez
- Elena Carvajal-Trujillo
- France Bélanger
- Yujong Hwang
- Hee-Woong Kim
- Yunjie (Calvin) Xu
Citations in the corpus
- The impact of initial consumer trust on intentions to transact with a web site: a trust building model (2002, background): “Grazioli and Jarvenpaa (2000) found reputation to be among the factors positively influencing trust in an e-vendor.”
- The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce (2003, methodology): “Grazioli and Jarvenpaa argued that customers’ attitudes are determined by their trust in the context of an Internet shopping mall [25].”
- Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model (2004, background): “Trusting beliefs are defined as the degree to which people believe a firm is depend able in protecting consumers' personal information (Grazioli and Jarvenpaa 2000, Gefen et al. 2003).”
- Trust and Risk in eGovernment Adoption (2008, background): “During initial encounters, trust is largely based on characteristics of the trustor (their disposition to trust), assumptions made about the traits of the trustee (trust of the government), and institutional factors (trust of the Internet) (Grazioli and Jarvenpaa, 2000).”
- Literature derived reference models for the adoption of online shopping (2005, background): “Trust mechanisms (testimonials, size reputation) [36] þve Sig.”
- A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers (2004, methodology): “…is capable of doing its job Newly added Trust2 This store would keep its promises and commitments Trust3 This store would care about its customers Grazioli and Jarvenpaa 2000 Trust4 This store would fulfill its job Newly added Trust Trust5 This store is trustworthy Grazioli and Jarvenpaa 2000…”
- The Influence of Consumers’ Cognitive and Psychographic Traits on Perceived Deception: A Comparison Between Online and Offline Retailing Contexts (2014, background): “, online safety cues, trust mechanisms) that can lead consumers to make erroneous judgments (Grazioli and Jarvenpaa 2000; Grazioli 2004; Mitra et al. 2008).”
- Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust (2007, background): “Grazioli and Jarvenpaa [36] found that perceived risk and trust determine the consumer's attitude toward online purchase, which subsequently affected willingness to purchase and actual purchase behavior.”
- Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration (2009, background): “Many studies (Grazioli and Jarvenpaa 2000, Pavlou and Fygenson 2006, Pavlou and Gefen 2004, Venkatesh and Davis 2000) have similarly measured transaction behavior or usage behavior by self-report survey rather than direct observation, and the relatively objective nature of a purchase decision (it…”
- Understanding Nonmalicious Security Violations in the Workplace: A Composite Behavior Model (2011, background): “…risk users perceive, the less likely they will engage in NMSVs. this is consistent with other risk-related research in the IS literature (e.g., [29, 39, 56, 60, 61]). consistent with the cBM, the effects of relative advantage for job performance and perceived security risk are fully mediated…”
- Inhibitors and Enablers as Dual Factor Concepts in Technology Usage (2004, background): “, 2003), risk (Grazioli and Jarvenpaa, 2000; McKnight et al., 2002; Pavlou, 2003), dissatisfiers (Zhang and vonDran, 2000), anxiety (Brown et al.”
- The Effects of Expert and Consumer Endorsements on Audience Response (2005, background): “By encouraging the audiences to verify the endorsements, the credibility dimension of regular consumers’ endorsements could be greatly enhanced because trust, one important dimension of building endorsement credibility, can be built (Grazioli and Jarvenpaa, 2000; Wang, 2003).”