The factors driving continuance intention to online shopping (e-loyalty): behaviour differences in the case of Saudi Arabia

Abstract

This study proposes a model of e-shopping continuance intentions that incorporate the revised technology acceptance model and expectation confirmation theory to measure continuance online shopping intentions within Saudi Arabia. Using structural equation modelling to confirm the model fit, and a 463-person sample, the author finds that perceived usefulness, enjoyment, and subjective norms determine online shopping continuance intentions, across male (30% of the sample) and female (70%) respondents. The structural weights are largely equivalent, yet the regression paths from site quality to perceived usefulness and perceived usefulness to continuation intentions are not invariant across the research sample. This research thus moves beyond consideration of online shopping intentions to include factors that may affect online shopping continuance. The research model is able to explain 61% of the variance in intentions to continue shopping online. Therefore, online strategies cannot ignore either direct or indirect differences in continuance intentions due to behaviour differences among shoppers in Saudi Arabia. With the high percentages of participants from the main populated regions in Saudi Arabia, the research model can be generalized across Saudi Arabia. Thus, the research has added to the limited literature on online repurchase intention or continuance intention by testing the proposed model in a context that has never before been tested. Furthermore, few prior studies use SEM as their methodological approach, and even fewer apply invariance analysis to verify behavioural differences based on gender, regional, education, e-shopping experience, and e-shopping spending with a sample obtained from Saudi Arabia. This study addresses these various knowledge gaps. Moreover, this thesis provides managers with useful and important information they can use to plan their Web sites and marketing strategies. The findings will help e-retailers to identify which web site attributes influence consumers’ e-shopping intentions, and thus improve the effectiveness of their e-shopping sites. A more thorough understanding of e-shopping continuance intention helps e-retailers to entice e-shoppers to shop online more, and entice non-online shoppers to shop online. Keywords: Internet shopping, e-shopping, technology acceptance, behavioural differences, continuance intentions, online shopping, Saudi Arabia.