“…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].…”
“…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].…”
“…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
This research intends to understand the acceptance of online mass-customized athletic shoes among college students through applying the theory of reasoned action with a focus on whether utilitarian value and need for uniqueness influence favorable attitude formation differently. The questionnaires were distributed to 260 college students in a major southeastern US university using extra class credit as participation incentive. SPSS 23.0 and SPSS Amos 23 were used in data analysis. Structural equation modeling with a path comparison were used to assess construct validity and test the proposed hypotheses and conceptual framework. Results showed that college students’ acceptance and purchase intention could be predicted by attitudes and subjective norm. In addition to perceived security of the online environment, utilitarian value and need for uniqueness equally facilitated formation of favorable attitude toward acceptance of online mass-customized athletic shoes among college students. Theoretical and practical implications, as well as the limitations of the study are further discussed.
“…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.…”
Today and in highly competitive and fast-paced arena of the world, industrial companies focus on achieving technological superiority through the effective use of world modern-day technologies in the production and operation process associated with all their available resources. With using this procedure, these industrial companies try to achieve long-term and sustainable competitive advantages. On the other hand, applying world modern technologies does not solely guarantee success of these companies, rather, preparing preliminary grounds associated with the acceptance of technology will be decisive in this field. This article deals with clarifying factors affecting the adoption of new technologies and showing relationship of these factors together. For this purpose, Unified Theory of Acceptance and Use of Technology (UTAUT) Model has been used to study factors affecting the adoption of new technologies. In the same direction, relationship between constituent components of this model has been studied with regard to the acceptance of new technology of Electro-Slag Remelting (ESR) in Esfarayen Steel Industry Complex using FUZZY DEMATEL Technique.
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