Decision Support Systems - Special issue on economics of electronic commerce
On risk, convenience, and Internet shopping behavior
Communications of the ACM
Internet-based e-shopping and consumer attitudes an empirical study
Information and Management
Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities
Telematics and Informatics
Effect of store design on consumer purchases: an empirical study of on-line bookstores
Information and Management
Key dimensions of business-to-consumer web sites
Information and Management
Information Systems Research
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Information Systems Research
Effects of innovativeness and trust on web survey participation
Computers in Human Behavior
Understanding effects of seller's and bidder's characteristics on Internet auction applications
Expert Systems with Applications: An International Journal
Exploring gender differences in online shopping attitude
Computers in Human Behavior
Personal innovativeness, security and privacy as determinants of e-trading adoption
International Journal of Electronic Finance
A service-oriented analysis of online product classification methods
Decision Support Systems
User disposition and extent of Web utilization: A trait hierarchy approach
International Journal of Human-Computer Studies
How does background music tempo work for online shopping?
Electronic Commerce Research and Applications
Computers in Human Behavior
International Journal of Handheld Computing Research
International Journal of Handheld Computing Research
To buy or not to buy experience goods online: Perspective of innovation adoption barriers
Computers in Human Behavior
Factors affecting Chinese Ubiquitous Game Service usage intention
International Journal of Mobile Communications
Electronic Commerce Research and Applications
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Previous electronic commerce (EC) studies have found that consumer characteristics are important when considering issues related to the acceptance of online shopping. However, most studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. Previous studies have limited the generalizability of their results to a few products at best. To overcome this limitation, the purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson, Balasubramanian and Bronnenberg (Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). Exploring the implications of the Internet for consumer marketing. Journal of Academy of Marketing Science, 25(4), 329-346) was employed to examine the effects of consumer characteristic differences on online shopping acceptance in the context of different products and services. A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. Additionally, personal innovativeness of information technology (PIIT), perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product types.