The research reported in this paper examines the buying behaviour of shippers in France in respect of their purchasing of logistics services, and in particular their attitudes towards purchasing more ecologically sound services. We have conducted empirical measurements of the gap between shippers' declared willingness to purchase ecologically sound services and their actual buying behaviour regarding offers of logistics services, and have proposed a research model to explain this gap. This research is a significant extension of earlier pilot study work in the French Picardy region, such that the study area now covers 4 regions, representing approximately 64% of the demand for logistics services in France. Based upon 172 valid survey responses received, the statistical testing of our explanatory research model has revealed three main antecedents of ecological buying behaviour: perceived compatibility between the quality levels of ecological logistics services available and traditional logistics services; the visibility of the shipper's individual ecological actions within the overall supply chain; and the shipper's overall basic ecological strategy anchored at the corporate level. According to the results of this survey, these company-specific antecedents are a more important influence on purchasing behaviour than relational aspects and regulatory constraints.
Internet services operate on a vastly larger scale and permit virtual interactions. The Internet and Web has created vast new opportunities, providing an infrastructure that enables buyers and sellers to find each other online. Companies can now offer many products, services and information easily and with lower costs. It becomes more and more difficult for customers to find quickly what they are looking for. Nevertheless, recommendation systems are playing a major role. Collaborative filtering (CF), or recommender system based-CF, has appeared as one methodology designed to perform such a recommendation task. These systems allow people to use expressed preferences of thousands of other people in order to find the product they desire based on the level of similarity between tastes. The concept has appeared from convergent research on search browsers, intelligent agents and data mining, and it allows to avoid the difficult question of "why" consumers prefer this or that product or brand.Early studies of electronic markets tools and recommender systems took a simplistic view of consumers as economic agents whose behavior was guided by the search for the lowest cost transactions. Moreover, most studies take into account only technical aspects of these systems like algorithms' development and computational problems. No study had been interested in recommendation's efficiency of collaborative filtering-based systems.This article explores the current state of research in recommender systems-based collaborative filtering, and proposes an experiment to find if such electronic recommendations are better than human recommendation. JEL CLASSIFICATIONSC11, C63, D11, D12, D83, M31.
Purpose -The main purpose of the study is to investigate how different dimensions of consumer perception and consumer attitude may affect behavior in electronic commerce environments. The aim is to define a conceptual framework in order to establish the role played by reference groups and social information in the development of these variables. Design/methodology/approach -This study integrates concepts including a series of published theoretical researches in consumer behavior. Research data were taken from a survey carried out on 450 European consumers. Consumer behavior, its antecedents and outcomes, and the relationship between consumer perception, consumer attitudes and fashion effect have been analyzed at a customer level. Findings -The results indicated that fashion effect affect consumer's behavior in electronic commerce environments. However, the study found inconsistent results between different dimensions of perception and its effects on buying decision. Research limitations/implications -The theoretical concepts that form the foundation of the paper appear to have a significant application to consumer marketing, but more studies are needed. Practical implications -By examining the variables that create the fashion effect, marketers are able to develop innovative strategies meant to improve their programs. Originality/value -The main contribution of this paper is the completion of an exhaustive analysis of the fashion effect and its antecedents. On one hand, it is a pioneer in the study of the influence of fashion effect on electronic commerce and, on other hand, it confirms results from other researches in the traditional commerce environments.
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