Barriers and drivers for non-shoppers in B2C e-commerce: A latent class exploratory analysis

• Published in: Computers in human behavior 2013-03, Vol.29 (2), p.314-322
• Main Authors: Iglesias-Pradas, Santiago, Pascual-Miguel, Félix, Hernández-García, Ángel, Chaparro-Peláez, Julián
• Format: Article
• Language: English
• Subjects: B2C; Barriers; Classification; Consumer behavior; Drivers; e-Commerce; Electronic commerce; Human behavior; Internet; Non-shoppers; Purchasing; Segmentation
• ISSN: 0747-5632; 1873-7692
• DOI: 10.1016/j.chb.2012.01.024

► The study links the barriers and drivers for online non-shoppers. ► There are four types of non shoppers based on their reasons to not make online purchases. ► Half of them are concerned by security and trust issues but some are infrastructure and product-conditioned. ► Six groups were found based on the drivers. ► Most of them could become e-shoppers if risks were lowered or they found adequate product offering. The barriers and drivers of e-shopping, as well as segmentation and behavior of e-shoppers, have been long studied in the last two decades, but the behavior of non-shoppers in business-to-consumer (B2C) e-commerce is still an open field for research which has seldom been dealt with. Our exploratory study has as its main objective the classification of non-shoppers in B2C e-commerce based on the barriers which keep deterring them from purchasing on the Internet and the drivers which might lead them to engage in e-shopping. In order to achieve this goal, data was gathered from 1499 Spanish respondents from a nationwide household panel survey. The responses were analyzed using a latent class analysis (LCA) approach and the results show four different types of non-shoppers based on the barriers for online shopping, while six different groups were identified based on the drivers to start shopping on the Internet. Implications for research and practice from the findings of the study are discussed in the final section.