A framework of online shopping support for information recommendations

Authors:
Wen-Shan Lin;Nathalie Cassaigne;Tzung-Cheng Huan
Affiliations:
Department of Management Information Systems, National Chiayi University, No. 580, Sinmin Road, Chiayi 600, Taiwan, ROC;School of Informatics, The University of Manchester, P.O. Box 88, Manchester, M60 1QD, UK;Graduate School of Tourism and Leisure, National Chiayi University, No. 580, Sinmin Road, Chiayi 600, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

The growth of e-commerce has caused problems with personalized recommendations. Although several attempts have made to improve or automate the retrieval and filtering of such information, no generic framework links the semantic context of online shopping with shoppers' purchases in order to improve the efficiency of online shopping support. Through the application of knowledge-modeling, this paper selects a college population to empirically investigate and establish the relationship between e-marketing terms and shoppers' buying behavior. General online shopping and the online book purchases are selected to validate the generic framework. Two hypotheses are tested: (1) e-marketing terms are important in influencing shoppers' decisions; and (2) shoppers behave differently with respect to different types of buys. Experimental results indicate that shoppers perceive the importance of e-marketing terms differently whilst shopping online. Six types of shoppers' are classified: (1) general-purpose, (2) security-concerned, (3) value, (4) fashionable, (5) time-sensitive, and (6) service-oriented. Results and future research opportunities are discussed. This paper serves as a basis for improving online information search for shopping purposes.