VI. Annotated Bibliography

a).Books

 Useful-worth considering

Turban, E., Leidner, D., Mclean, E. & Wetherbe, J. (2008). Information Technology for Management: Transforming Organisations in the Digital Economy (6^th ed.). Hoboken, NJ: Wiley

Low value can ignore

Bryman, A., & Bell, E. (2007). Business Research Method (2^nd ed.). New York: Oxford.

b). Jourals

Useful-must refer to

i) Hui, T., & Wan, D. (2007). Factors affecting Internet shopping behaviour in Singapore: Gender and Educational issues. International Journal of Consumer Studies, 31(1): 310–316.

 

Abstract: Despite the increasing number of online users and products that are being offered on the

Web, there is relatively little work that specifically examines the role of gender and

educational level on the attitudes of Internet users in the Singapore context. Our findings reveal that there is a general consensus amongst Singaporeans that the Internet is a convenient medium for information search or making purchases. The better-educated respondents seem to be less concerned with security issues. They also perceive that Internet shopping provides better prices and more cost savings. Females indicate a strong dislike for not being able to savour a physically fulfilling shopping experience online.

ii) Monsuwe, T., Benedict, G., Dellaert. C., & Ruyter.K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1): 102-21.

 

Abstract: While a large number of consumers in the US and Europe frequently shop on the

Internet, research on what drives consumers to shop online has typically been fragmented. This paper therefore proposes a framework to increase researchers’ understanding of consumers’ attitudes toward online shopping and their intention to shop on the Internet. The framework uses the constructs of the Technology Acceptance Model (TAM) as a basis, extended by exogenous factors and applies it to the online shopping context. The review shows that attitudes toward online shopping and intention to shop online are not only affected by ease of use, usefulness, and enjoyment, but also by exogenous factors like consumer traits, situational factors, product characteristics, previous online shopping experiences, and trust in online shopping.

 

iii) Park, C. & Jun, J.K. (2003). A Cross-Cultural Comparison of Internet Buying Behavior. International Marketing Review, 20(5): 534-554.

 

Abstract: This research attempted to examine differences in Internet usage, Internet innovativeness, perceived risks of Internet buying, and Internet buying behaviors between Korea and America, and to identify a model for factors influencing Internet buying behavior, explained by Internet usage, perceived risks, and innovativeness on a cross-cultural basis. Results showed that there were significant differences in Internet usage and the perceived risks of Internet shopping, but no significant differences in Internet buying intentions or online buying experience between Korean and American consumers. Nonetheless, analyzing a regression model of factors influencing Internet buying behavior, and cultural differences in effects of Internet usage and perceived risks on Internet buying behavior were found.

 

iv) Pavlou, P.A. & Chai, L. (2002). What Drives Electronic Commerce Across Cultures? A Cross-Cultural Empirical Investigation Of The Theory Of Planned Behavior. Journal of Electronic Commerce Research, 3(4): 240-253.

 

Abstract: Globalization and the ubiquitous nature of the Internet facilitate e-commerce activities across nations. Theseactivities demand a new conceptualization of online consumer behavior that transcends national boundaries and  takes into consideration cross-cultural effects. To better understand what drives e-commerce across cultures, we apply a theory of planned behavior (TPB) perspective to capture behavioral intentions to transact online in two dissimilar countries – China and the United States. We argue that adoption of e-commerce depends primarily on consumer behavioral intentions to engage in product purchases. The model first draws upon the TPB to interrelate online transaction intentions with attitude, subjective norm, and perceived behavioral control. Second, given the uncertainty present in e-commerce, trust in a Web retailer is hypothesized as a salient belief that indirectly influences transaction intentions through attitude and perceived behavioral control. The paper’s major contribution is to incorporate Hofstede’s (2001) cultural dimensions - individualism/collectivism, power distance, and long-term orientation - in studying cross-cultural e-commerce adoption. We argue that these cultural differences influence the proposed e-commerce adoption model and moderate its key relationships. An empirical study was conducted to test the proposed cross-cultural model using data from consumers in China and the United States. The results render support for most of the proposed hypotheses, emphasizing the role of cultural differences on consumer e-commerce adoption. The paper discusses several insights from this exploratory study that contribute to the cross-cultural ecommerce literature. Finally, we discuss the study’s implications for theory and practice, concluding with several suggestions for future research on cultural aspects of e-commerce.

 

v) Zhou, L., Dai,L., & Zhang,D. (2007). Online Shopping Acceptance Model - A Critical Survey Of Consumer Factors In Online Shopping. Journal of Electronic Commerce Research, 8(1): 41-62.

 

Abstract: Since the late 1990s, online shopping has taken off as an increasing number of consumers purchase increasingly diversified products on the Internet. Given that how to attract and retain consumers is critical to the success of online retailers, research on the antecedents of consumer acceptance of online shopping has attracted widespread attention. There has yet to be a holistic view of online shopping acceptance from the perspective of consumers. In this research, we conducted an extensive survey of extant related studies and synthesized their findings into a reference model called OSAM (Online Shopping Acceptance Model) to explain consumer acceptance of online shopping. Our literature survey reveals that a myriad of factors have been examined in the context of online shopping and mixed results on those factors have been reported. The proposed model helps reconcile conflicting findings, discover recent trends in this line of research, and shed light on future research directions.

 

 

Low Value-can ignore

 

i) Dholakia, R. R., & Chiang, K.P. (2003). Shoppers in cyberspace: Are they from venus or mars and does it matter? Journal of Consumer Psychology, Special Issue on Consumersi n Cyberspace. Forthcoming, pg 1- 21.

 

Abstract: Internet shopping (or e-shopping) is emerging as a shopping mode and with its requirement of computer access and use, it is interesting to know whether consumers associate e-shoppers with any gender-specific stereotypes. Such stereotypes may be expected since shopping is considered a “female typed” activity while technology is considered to be in the male domain. In this paper, we address this central question in an empirical study that varies the shopping context in terms of outlet type, product type and purchase purpose. The respondents are college students with Internet access and familiarity with online shopping. The experimental results suggest that the global stereotype, held by both male and female respondents, is that of a shopper as a woman. This stereotype reverses when the product purchased is technical and expensive (DVD player). In terms of personality attributions, the female shopper is seen to be less technical, less spontaneous and more reliable and attributions regarding personal characteristics are not influenced significantly by product type, outlet type, or purchase purpose.

 

ii) Kwak, H., Fox, R.J., & Zinkhan, G.M. (2002). What products can be successfully promoted and sold via the Internet? Journal of Advertising Research, 42(1): 23–38.

 

Abstract: The internet has the potential to reshape consumer buying patterns. Using a survey of 307 internet users, we explore four domains: consumer attitudes, internet experiences, demographics, and personality traits that may potentiality influence consumers' online purchasing. Via a series of logistic regression analyses and a correspondence analysis, we identify some important influencers. For instance, we find that those who have frequently requested product information and who are opinion leaders are relatively likely to engage in online purchasing. Managerial implications along with limitations of the study are provided.