Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types

https://doi.org/10.1016/j.chb.2007.01.002Get rights and content

Abstract

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.

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-.

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