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Purpose With the diffusion of innovation theory (DOI) and theory of planned behaviour (TPB) as the guiding theoretical perspectives, this research aims to identify the factors motivating user attitudes and in-app purchase intentions (IAPIs). The moderating impact of user inertia towards TPB constructs was also explored. Design/methodology/approach A total of 500 responses were received via an online survey fielded from July to October 2021. The data were then analysed using partial least square structural equation modeling (PLS-SEM). Findings The results indicated that attitudes towards travel app shopping were predominantly determined by perceived relative advantages, compatibility and complexity. Findings also suggested that IAPIs are positively influenced by attitudes, communicability and perceived behavioural control and are moderated by user inertia. Originality/value A holistic framework integrating theoretical foundations from two disciplines (information systems and psychology) was designed to explain factors motivating user intentions to purchase travel products and services from apps. This research found a missing link in previous studies by showing the indirect role of attitudes that bridges the DOI and TPB and the importance of inertia as a key boundary condition.

Shopping cart abandonment remains a challenge for many e-retailers despite the continued growth of the e-commerce industry worldwide. However, the issue of online shopping cart abandonment (OSCA) has not been explored extensively in the literature. Grounded by the stimulus-organism-response (S-O-R) model, this study explores a sequential mediation model comprising consumers' wait for lower prices as an antecedent, hesitation at checkout and OSCA as mediators, perceived transaction inconvenience as a moderator, and decision to buy from a land-based retailer (DBLR) as an outcome. An online questionnaire was designed and distributed to 883 online consumers in Mainland China. Partial least squares-structural equation modeling (PLS-SEM) was employed to analyze the survey data. The results show that waiting for lower prices positively influences hesitation at checkout, and subsequently, impacts both OSCA and DBLR. Hesitation at checkout and OSCA play sequential mediating roles in the framework path. In addition, perceived transaction inconvenience strengthens the relationship between waiting for lower prices and hesitation at checkout. Overall, this study contributes to theory and serves as a guideline for e-retailers in reducing the OSCA rate.

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