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Factors affecting intentions to purchase via the internet.

Authors :
So, W. C. May
Wong, T. N. Danny
Sculli, Domenic
Source :
Industrial Management & Data Systems; 2005, Vol. 105 Issue 9, p1225-1244, 20p
Publication Year :
2005

Abstract

Purpose - To investigate web-shopping behaviour in Hong Kong: identification of the general attitude towards web-shopping; relationships between past web-shopping experience, attitude towards web-shopping, adoption decisions, search behaviour and web-shopping intentions; and influences of promotional offers and product categories on web-shopping intentions. Design/methodology/approach - Relevant hypotheses were constructed and a web-based questionnaire survey was than conducted using technically educated subjects. The proposed hypotheses were statistically tested and principal components analysis and structural equations were used to produce a structural model. Findings - Web-shopping intentions are directly affected by web-search behaviour and web-shopping adoption decisions, and are indirectly affected by web-shopping attitudes, past web-shopping experiences and past experience with the web. Web-search behaviour was a stronger factor than adoption decision in terms of influencing web-shopping intentions. The presence of promotional offers had a positive effect on web-shopping intentions, and web-shopping intentions were different for different product categories. Research limitations/implications - The sample employed was composed of technically educated undergraduates and graduates and thus limiting generalizations to a higher levels. Practical implications - Experienced internet users and experienced web-shoppers are more likely to be potential future web-shoppers. Those who have a general dislike for shopping and who tend to buy in a great haste when the purchase becomes absolutely necessary may eventually be another group to become web-shoppers. Originality/value - The primary value of this paper lies in extending the understanding of Hong Kong web-shopper behaviour, and in developing an empirical model that can partly explain the processes leading to web-shopping intentions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02635577
Volume :
105
Issue :
9
Database :
Complementary Index
Journal :
Industrial Management & Data Systems
Publication Type :
Academic Journal
Accession number :
19936062
Full Text :
https://doi.org/10.1108/02635570510633275