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2011
DOI: 10.1016/j.jretconser.2010.10.004
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Examining drivers of online purchase intensity: Moderating role of adoption duration in sustaining post-adoption online shopping

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Cited by 69 publications
(52 citation statements)
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“…Specifically, Lee and Cranage [24] study the relations between privacy and personalization when the customer reveals willingly his personal information, but do not take into account how that affects his shopping enjoyment. Moreover, Liu and Forsythe [25] examine the effects of enjoyment on online purchasing intensity, but they do not study the effects of privacy issues on enjoyment or online shopping intentions. Lee and Park [19], study the influence of online service personalization on purchase intentions taking into account the effects of subjective norms on customers' attitudes.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Specifically, Lee and Cranage [24] study the relations between privacy and personalization when the customer reveals willingly his personal information, but do not take into account how that affects his shopping enjoyment. Moreover, Liu and Forsythe [25] examine the effects of enjoyment on online purchasing intensity, but they do not study the effects of privacy issues on enjoyment or online shopping intentions. Lee and Park [19], study the influence of online service personalization on purchase intentions taking into account the effects of subjective norms on customers' attitudes.…”
Section: Discussionmentioning
confidence: 99%
“…The enjoyment that a customer feels when shopping online, affects positively his attitude towards online shopping. Previous reseach, investigating hedonic performance in online shopping show that enjoyment has a strong positive effect on online purchase intensity [25]. Moreover, shopping enjoyment has been found to affect customers' behavior [18].…”
Section: Enjoymentmentioning
confidence: 97%
“…The research results indicated that the coefficient of the path from need for uniqueness to attitude formation (β 2 = 0.35) was greater than that from the utilitarian value (β 1 = 0.22). To test whether the difference was statistically significant, a path comparison was conducted using SEM (Huh and Kim 2008;Liu and Forsythe 2011). We set up a constrained model by adding a constraint that made the two path coefficients equal.…”
Section: Testing Research Model and Hypothesismentioning
confidence: 99%
“…Generally, UTAUT Model concentrates on the causal (cause and effect) relationship between individual attitudes towards using a technology, personal tendencies towards using a technology, actual use of a technology and identifying performance expectancy of a technology. In this model, Facilitating Conditions (FC) is introduced as a main determinant factor in the use of a technology or system (Liu & Forsythe, 2011).This model has been shown in Fig. 3.…”
Section: 3utaut (Unified Theory Of Acceptance and Use Of Technologmentioning
confidence: 99%
“…The comparison of Korea and the U.S. also disclosed that the effects of effort expectancy on behavioral intention and the impacts of behavioral intention on use behavior were bigger in the U.S. sample. Liu and Forsythe (2011) examined whether the early adopters of the online channel were more likely to purchase wide range of products and more frequently than others based on UTAUT model. They examined the direct effects of perceived usefulness, enjoyment, product risk, and internet usage at home and at work on post-adoption buy intensity using a structural equation modeling approach.…”
Section: A Brief Review Of Researchmentioning
confidence: 99%