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Purpose – Satisfaction and experience are essential ingredients for successful customer retention. This study aims to verify the moderating effect of experience on two types of relationships: the relationship of certain antecedents with satisfaction, and the relationship of satisfaction with intention to repurchase. Design/methodology/approach – This paper applies structural equation modelling (SEM) and multi-group analysis to examine the moderating role of experience in a conceptual model estimating the intention to repurchase. Responses from 393 people were used to examine the differences between high- and low-experienced users of online shopping. Findings – The research shows that experience has moderating effects on the relationships between performance expectancy and satisfaction and satisfaction and intention to repurchase. This study empirically demonstrates that prior customer experience strengthens the relationship between performance expectancy and satisfaction, while it weakens the relationship of satisfaction with intention to repurchase. Practical implications – Practitioners should differentiate the way they treat their customers based on their level of experience. Specifically, the empirical research demonstrates that the expected performance of the online shopping experience (performance expectancy) affects satisfaction only on high-experienced customers. Instead, the effort needed to use online shopping (effort expectancy) and the user's belief in own abilities to use online shopping (self-efficacy) influence satisfaction only on low-experienced customers. The effect of trust and satisfaction is significant on online shopping behaviour on both high- and low-experienced customers. Originality/value – This paper investigates how different levels of experience affect customers' satisfaction and online shopping behaviour. It is proved that experience moderates the effect of performance expectancy on satisfaction and the effect of satisfaction on intention to repurchase. It also demonstrates that certain effects (effort expectancy and performance expectancy) are valid for only one of the two examined groups, while only one effect (trust) is valid for both (high- and low-experienced).

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Personalized services are diffusing rapidly in online shopping communities. However, the current understanding of the influence of personalization is limited. This study extends personalization literature into the area of emotions related to intention to purchase and into the context of online shopping. Responses from 182 online shoppers were used to examine the impact of personalization on customer emotions and intention to purchase. The results show that there is a direct positive association between personalization and purchase intentions. In addition, provision of personalization features in e-shops may evoke positive emotions to online shoppers but does not evoke nor mitigate negative ones. Finally, our study reports that emotions influence online shopping behavior either positively, through the formulation of positive emotions, or negatively, through negative emotions. These findings indicate that positive emotions mediate the relationship between personalization and purchase intentions. Our study concludes with a critical appraisal of our findings and a discussion of prospective theoretical and managerial implications for e-shop practitioners.

This research develops and tests a theoretical model of customer persuasion in personalized online shopping, building on information processing theory, and addressing cognitive and affective stages of the persuasion process. Data from 582 experienced online customers were used to validate the proposed model through structural equation modeling and multigroup analysis. Results show that quality of personalization, message quality, and benefits of the personalized recommendations are important in the persuasion process. Positive emotions increase the effect of persuasion on purchase intentions, contrary to negative emotions. The study extends online personalization theory, offers an in‐depth analysis of the persuasion process in online shopping, and provides valuable recommendations for personalized online marketing.