Integrated consumer shopping decision model: A Japanese online supermarket context

Abstract

Online shopping is not a new marketing channel but has been growing tremendously throughout Japan. The rapid growth of Internet technology has enabled the Japanese to break away from their conservative culture and embark on different shopping experiences by shopping online. With the growing importance of online reviews to promote one’s business, Japanese online supermarkets are looking for ways to increase consumer-generated content. The purpose of this study is to investigate Japanese repeat online consumers and the antecedents that encourage them to review their shopping experiences, including the supermarket website they used and product availability in the online supermarket. It was found that online supermarkets must focus on establishing confidence with their repeat online consumers if they desire to increase the electronic word of mouth (e-WOM) of their online supermarket. Implications are discussed in relation to online supermarkets and repeat consumers’ intentions to review their online shopping experiences.     

Building customer trust and loyalty: an empirical study in a retailing context

This paper integrates the seller's characteristics and the consumer's individual characteristics in testing the person-to-person and person-to-firm effects of trust on loyalty in the department store. A multidimensional model of the behavioural components of trustworthiness is used to examine their differential effects on consumer trust. The results reveal that the effects of behavioural components of trustworthiness on trust in salespersons and trust in department stores are different. Trust in salespersons contributes to the trust in the department stores they work for. In addition, although both trust in department stores and trust in salespersons are expected to enhance customer loyalty, person-to-person trust has stronger influence on loyalty than does person-to-firm trust. The findings also suggest that customers' individual characteristics should be considered in assessing the role of trust in business relationships other than sellers' characteristics.     

Arrow: A flexible architecture for an accounting and charging infrastructure in the Next Generation Internet

Current pricing and charging methods for the Internet are not based on actual usage of this service, which leads to unfairness and more important, it does not deliver the right signals through financial incentives to network providers to upgrade critical links of their networks. The development of new multimedia applications and the convergence to an integrated services network will foster the tremendous growth of the Internet even more. With the Next Generation Internet not only technical services like bandwidth reservation will be introduced, but also new applications will emerge within the Internet. Charging the Internet in a fashion that provides feedback to users and providers has been proposed since the early '90s, however, only a few implementations and real-world examples are known today. This is due to subsidizing the Internet in its early stages and due to a technical development that did not care much about charging. With the recent redesign of the Internet protocol suite and discussions on multiple service classes in the Internet, architectures for charging and accounting have to be revisited, too. Economic models for the Internet cannot be tested fully and validated in non-real-world environments, because of the unknown user behavior. With this uncertainty over what models and pricing schemes to choose, it is evident that a specific charging and accounting platform will never be accepted by the community. In this paper a novel and flexible architecture for charging and accounting is proposed that provides a wide range of mechanisms and lets researchers experiment in an environment as close as possible to the targeted system. As a first step, four different pricing schemes are described, qualitatively assessed on the proposed platform, and a prototypical implementation performed. One of the economic models that have been implemented on Arrow is based on different service classes including reservation and recalculates prices dynamically depending on the traffic situation. This revised version was published online in August 2006 with corrections to the Cover Date.