E commerce

Web recommender systems anticipate the needs of web users and provide them with recommendations to personalize their navigation.
Jia Li, Osmar Zaïane

E-commerce developments and requirements will force ERP vendors to continuously innovate their products. Classical ERP system characteristics are inappropriate for a future in which e-commerce is common practice. This paper reviews five of these characteristics, explains why they hamper ecommerce, and discusses solutions. Some of these are indeed already recognised and dealt with by ERP vendors; others aren't. Finally, the paper introduces the research efforts of the Telematics Institute...
Paul Luttighuis, Frank Biemans

Journal of the Academy of Marketing Science, Vol. 33, No. 4. (1 October 2005), pp. 585-603.

It is widely recognized that a better understanding of interactivity and its implications is essential for facilitating research focused on the emerging electronic marketplace. However, deficiencies persist in our understanding of this important concept. Building on research in various fields of study (e.g., information systems, marketing, and computer-mediated communication), this article presents a conceptualization of interactivity from a marketplace perspective that is missing or inadequately articulated in the literature. Specifically, interactivity is conceptualized as a characteristic of computer-mediated communication in the marketplace that increases with the bidirectionality, timeliness, mutual controllability, and responsiveness of communication as perceived by consumers and firms. The article concludes with a research agenda focusing on issues relating to measurement, conceptual refinement, and management of interactivity in the electronic marketplace. 10.1177/0092070305278487
Manjit Yadav, Rajan Varadarajan

Journal of Computer-Mediated Communication, Vol. 5, No. 3. (2000), pp. 0-0.

Enthusiasm for the anticipated social dividends of the Internet appears boundless. Indeed, the Internet is expected to do no less than virtually transform society. Yet even as the Internet races ambitiously toward critical mass, some social scientists are beginning to examine carefully the policy implications of current demographic patterns of Internet access and usage. Key demographic variables like income and education drive the policy questions surrounding the Internet because they are the most likely have a differential impact on the consequences of interactive electronic media for different segments in our society. Given these concerns, we set out to conduct a systematic investigation of the differences between whites and African Americans in the United States with respect to computer access, the primary current prerequisite for Internet access, and Web use. We wished to examine whether observed race differences in access and use can be accounted for by differences in income and education, how access influences use, and when race matters in the calculus of equal access. The particular emphasis of this research is on how such differences may be changing over time. We believe our results may be used as a window through which policymakers might view the job of ensuring access to the Internet for the next generation.
Donna Hoffman, Thomas Novak, Ann Schlosser

Journal of the American Society for Information Science and Technology, Vol. 55, No. 3. (2004), pp. 259-274.

this article, we review previous research in recommender systems to identify frequently used approaches and representations. Four recommendation approaches were examined: knowledge engineering, collaborative filtering, a content-based approach, and a hybrid approach. Different recommendation approaches can be implemented using different analytical methods. Commonly used methods are neighborhood formation, association rule mining, machine learning techniques, etc
Z Huang, W Chung, H Chen

Information & Management, Vol. 42, No. 6. (September 2005), pp. 877-899.

Several studies of eCommerce in developing countries have emphasized the influence of contextual impediments related to economic, technological, legal, and financial infrastructure as major determinants of eCommerce adoption. Despite operating under such constraints, some organizations in developing countries are pursuing the eCommerce agenda while others are not. However, our understanding of what drives eCommerce among businesses in developing countries is limited by the absence of rigorous research that covers issues beyond contextual imperatives. This paper discusses a holistic and theoretically constructed model that identifies the relevant contextual and organizational factors that might affect eCommerce adoption in developing countries. It provides a research-ready instrument whose properties were validated in a survey of 150 businesses from South Africa. The instrument can be used as a decision tool to locate, measure, and manage some of the risk of adopting eCommerce. Implications of the study are outlined; they indicate a need to consider eCommerce, micro, meso, and macro issues in understanding the adoption of eCommerce in developing countries.
Alemayehu Molla, Paul Licker

Psychology and Marketing, Vol. 23, No. 5. (2006), pp. 429-445.

This study investigates initial trust formation in Internet shopping from the perspective of the elaboration likelihood model (ELM) by conducting a 2 2 factorial laboratory experiment. Based on data collected from 160 respondents, the results indicate that display of third-party seals and product information quality positively affects consumers' trust toward an e-tailer through assurance perception and result demonstrability, respectively. Besides, one's product involvement and trait anxiety play moderating roles. As predicted in ELM, consumers with high involvement and low anxiety build their trust via central route exclusively, whereas consumers with low involvement or high anxiety build their trust via peripheral route exclusively. The results suggest that customizing the persuasive arguments for different consumers is a critical strategy for initial on-line trust building. © 2006 Wiley Periodicals, Inc.
Shu-Chen Yang, Wan-Chiao Hung, Kai Sung, Cheng-Kiang Farn

Journal of Economic Psychology, Vol. 26, No. 5. (October 2005), pp. 607-623.

Asymmetric information is at the heart of situations involving trust. In the case of B2C Internet commerce, the information asymmetry typically relates to the difficulty that consumers have of distinguishing between "trustworthy" and "untrustworthy" Web merchants. The impasse can be resolved by the use of signals by trustworthy Web merchants to differentiate themselves from untrustworthy ones. Using an experimental design where subjects are exposed to a series of purchase choices, we investigate three possible signals, an unconditional money-back guarantee, branding, and privacy statement, and test their efficacy. Our empirical results confirm the predictions suggested by signalling theory.
Boon-Chye Lee, Lawrence Ang, Chris Dubelaar