Likelihood to abort an online transaction: influences from cognitive evaluations, attitudes, and behavioral variables

By Jinsook Cho. Information Manager (The), 2004

317 citations recorded by the source corpus.

Subfields: Accounting, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/64db80c00d84b0b68cc0d9e500e65dd4842e0ac7

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In Accounting

In Information Systems and Management

In Organizational Behavior and Human Resource Management

Citations in the corpus

An integrative model of consumers' intentions to purchase travel online (2015, background): “Indeed, trust plays a central role on online purchases, because consumers will hesistate to purchase if they feel uncertainty and risk (McKnight, Choudhury, & Kacmar, 2002). In a more extreme view, Wang and Emurian (2005) posit that the future of online shopping depends on trust.”
Adoption of Virtual Try-on technology for online apparel shopping (2008, background): “In a technology context, innovativeness is defined as the willingness of an individual to try out new technology (Robinson, Marshall, & Stamps, 2004).”
Re-examining online customer experience to include purchase frequency and perceived risk (2015, background): “We argue that as infrequent online shoppers may not use online shopping as much, they may be less likely to fully appreciate the benefits than can accrue, whereas frequent shoppers may have a clearer understanding and appreciation (Cho, 2004; Doolin et al., 2005; Pan & Zinkhan, 2006).”
Factors for Successful e‑Government Adoption: a Conceptual Framework (2007, methodology): “The variables used to measure Internet experience include duration of experience (Miyazaki and Fernandez, 2001; Cho, 2004), frequency of use (Miyazaki and Fernandez, 2001; Cho, 2004; Kolsaker et al., 2004), and usage pattern (Cho, 2004; Kolsaker et al. (2004).”
Understanding consumer acceptance of mobile payment services: An empirical analysis (2010, background): “Besides perceived benefits (i.e., perceived usefulness and ease of use), innovations usually also come with risks (Cho 2004).”
Exploring gender differences in online shopping attitude (2010, background): “…increase of online sales stimulate great interest in understanding what impacts people’s decisions to participate in or refrain from shopping online (Cho, 2004; Glassberg, Grover, & Teng, 2006; Kim, Williams, & Lee, 2003; Korzaan, 2003; Liao & Cheung, 2001; Ranganathan & Grandon, 2002; Shih, 2004;…”
A unified perspective on the factors influencing consumer acceptance of internet of things technology (2014, background): “For example, Davis et al. (1989) emphasized the role of social influence in IT acceptance and usage behavior.”
The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator (2008, background): “However, providing good web site quality may be not enough to motivate customers to adopt online shopping (Cho, 2004), since consumers dislike dealing with unknown vendors (Lim, 2003).”