2009
DOI: 10.1016/j.jbusres.2008.01.018
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The effect of web interface features on consumer online purchase intentions

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Cited by 775 publications
(495 citation statements)
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References 40 publications
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“…This finding is consistent with many past marketing studies that have examined the link between satisfaction and purchase intention for various contexts (e.g. Hausman and Siekpe, 2009;Fiore, Jin and Kim, 2005;Fiore, Kim and Lee, 2005 in online environments). Overall, the findings confirm the role of simulation in encouraging users to engage more with products and services in virtual environments and to improve their experience (e.g.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…This finding is consistent with many past marketing studies that have examined the link between satisfaction and purchase intention for various contexts (e.g. Hausman and Siekpe, 2009;Fiore, Jin and Kim, 2005;Fiore, Kim and Lee, 2005 in online environments). Overall, the findings confirm the role of simulation in encouraging users to engage more with products and services in virtual environments and to improve their experience (e.g.…”
Section: Discussionsupporting
confidence: 91%
“…Several studies investigating both online and offline retail settings reveal the strong causal relationship between consumer satisfaction (and experience) and the subsequent purchase intention (e.g. Cronin et al, 2000;Yang and Wu, 2009;Hausman and Siekpe, 2009). The proposed relationships are illustrated schematically in Figure 1.…”
mentioning
confidence: 99%
“…Key interactivity theories (e.g., telepresence) identify the structure of the media (e.g., Web sites) as a critical contributor to the capability to interact (Hausman and Siekpe 2009;Song and Zinkhan, 2008). Structural properties such as informativeness (content richness, information accessibility) or navigatability (speedy search) are critical for Web site evaluations (Chen and Wells, 1999).…”
Section: What Drives Reciprocating Behaviors?mentioning
confidence: 99%
“…In the technology acceptance domain, some researchers emphasize the relationship between attitude and intentions (e.g., Hausman and Siekpe, 2008), whereas others argue its unimportance (e.g., Venkatesh et al, 2003), suggesting that IS usage decisions might be dominated by cognitive beliefs, such as perceived usefulness, rather than affect, such as attitude. Yang and Yoo (2004) argue that researchers fail to distinguish between the two types of attitudes, where the potentially significant influence of cognition attitude gets offset by the insignificant influence of affect attitude.…”
Section: Technology Acceptance Modelmentioning
confidence: 99%