Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types
Introduction
The development of the Internet has increased the popularity of online shopping. However, many Internet users avoid shopping online due to security and privacy concerns. Despite this though, online sales continue to grow as Internet-based businesses become more sophisticated; indeed many users remain interested in online shopping. Understanding potential markets is thus important for businesses investing in electronic commerce (EC). Amichai-Hamburger (2002) indicated that the personality of Internet users plays an important role in their online behavior. Moreover, Hills and Argyle (2003) reached similar viewpoints. They found that individual Internet use correlates with individual personality differences. Kotler (2003) asserted that personal factors are the main influence on buyer behavior. Thus, understanding the personality differences between these two groups (Internet shoppers and non-Internet shoppers) is extremely important to businesses. Understanding the characteristics of potential online customers can help businesses accurately target potential markets.
Peterson, Balasubramanian, and Bronnenberg (1997) indicated that owing to the special characteristics of the Internet, its suitability for marketing depends on the characteristics of the products and services being marketed. Thus, considering the differences among product types is essential to fully understanding the influence of online shopping. Liang and Huang (1998) expressed a similar opinion, noting that when dealing with electronic markets, increased attention must be paid to understanding which products are suitable for marketing online. Notably, they indicated that different product types influence consumer online shopping acceptance. Phau and Poon (2000) also obtained similar findings and found that product type affects consumer decisions when choosing between traditional or online channels.
Previous studies found that consumer characteristics are important when considering online shopping acceptance-related issues. However, most studies neglect the effects of different product types. The generalizability of these studies thus was limited to only a few products. To overcome this limitation, the purpose of this study explores the effects of different product types.
Section snippets
Literature review
This section summarizes the relevant literature regarding the determinants of user acceptance of online shopping and product categories.
Research model and hypotheses
Based on the above discussion, an integrated model involving the four determinate factors of user acceptance of online shopping is proposed and tested in this study. Five critical variables from factor 1 to factor 3 that related to consumer characteristics were included to understand their effects on customer acceptance of online shopping. Additionally, the above relationships were discriminated in the context of different product types (factor 4). Five critical consumer characteristic
Sample
The target respondents were undergraduate students with online shopping experience in Taiwan. This study attempts to clarify the relationships between consumer characteristics and attitudes toward online shopping in the context of different products. In the Internet product and service classification grid (Peterson et al., 1997), personal positions regarding specific products vary; for example, some individuals view computer games as a low-cost and frequent purchase, while others hold different
Data analysis and results
Questionnaires were sent to 220 undergraduate students who were randomly selected from a list of 400 students who took data processing courses at a Taiwanese university. Questionnaires were distributed in class and participants were given sufficient time (30 min) to complete the questionnaire. To motivate subjects, participants received a gift and some course credits in return for completing the questionnaire.
A total of 216 usable questionnaires were returned. Among these usable questionnaires,
Discussions
This study developed a model for determining online shopping attitudes and tested it in the context of different products or services. Analysis results demonstrated that four regression functions were all significant in the context of different products or services. Furthermore, this study found that the significant variables differed in the context of different products or services. The analytical results are discussed below.
Conclusions
The study examined how individual differences affect online shopping acceptance. Importantly, the determinants of user acceptance of online shopping differ according to product or service type. Based on studying a limited set of products or services, the following findings are obtained:
- (1)
Increased PIIT positively affects user attitudes toward purchasing high cost, infrequently purchased, and intangible products or services online.
- (2)
Increased personal perceptions of Web security positively affect
Acknowledgement
The authors would like to thank the National Science Council of the Republic of China, Taiwan, for financially supporting this research under Contract No. NSC92-2416-H-008-013-.
References (43)
Internet and personality
Computers in Human Behavior
(2002)- et al.
Trustworthiness in electronic commerce: The role of privacy, security, and site attributes
Journal of Strategic Information Systems
(2002) - et al.
Hedonic and utilitarian motivations for online retail shopping behavior
Journal of Retailing
(2001) - et al.
Real consumers in the virtual store
Scandinavian Journal of Management
(2002) Diffusion of E-commerce: An analysis of the adoption of four E-commerce activities
Telematics and Informatics
(2002)- et al.
Uses of the internet and their relationships with individual differences in personality
Computers in Human Behavior
(2003) - et al.
Maintaining a committed online customer: A study across search-experience-credence products
Journal of Retailing
(2005) - et al.
An empirical study on consumer acceptance on products in electronic markets: A transaction cost model
Decision Support Systems
(1998) - et al.
Effect of store design on consumer purchases: an empirical study of on-line bookstores
Information and Management
(2002) - et al.
Internet-based e-shopping and consumer attitudes: An empirical study
Information and Management
(2001)