Purpose – The purpose of this paper is to examine: whether monetary, convenience, emotional, and social values were related to utilitarian and hedonic performance expectancies, which were then related to usage intention of augmented reality and motion capture (ARMC) e-shopping via a webcam and whether ego involvement and cognitive effort moderated the links between performance expectancies and usage intention. Design/methodology/approach – The proposed model was based on Prospect Theory and the Value-Attitude-Behavior hierarchy consumer decision model. The participants were US online apparel shoppers ( n =806) and were drawn from an online consumer panel. Structural equation modeling was employed to test the proposed model and research hypotheses. Findings – This study identified that utilitarian performance expectancy was positively related to usage intention. However, hedonic performance expectancy was not positively related to usage intention. Monetary, convenience, emotional, and social values had an indirect influence on usage intention, mediated by utilitarian performance expectancy. Ego involvement and cognitive effort moderated the link between utilitarian performance expectancy and usage intention. Managerial implications were discussed. Originality/value – The results not only verify theoretical conceptions regarding usage intention of ARMC e-shopping but also provide beneficial insights into the implementation and development of ARMC e-shopping applications that use webcams and motion capture technology.
International Journal of Clothing Science and Technology – Emerald Publishing
Published: Oct 28, 2014
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera