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This study aims to identify factors that affect the intention and actual adoption of cashless payment (ACP) among Vietnamese youths. Extending the unified theory of acceptance and use of technology (UTAUT) model with two impelling factors (perceived trust [PTR] and lifestyle compatibility [LCM]), this study also examined the mediating effect of intention to adopt cashless payment (ICP) on the relationships of UTAUT model components with the actual ACP.

All data were collected online from 422 Vietnamese youths through online survey, and partial least squares structural equation modelling was performed to analyse the data.

The study’s results illustrated the positive and significant effects of performance expectancy, effort expectancy, facilitating conditions, LCM and PTR on ICP. However, social influence was found to exhibit a negative effect on ICP. Furthermore, ICP was found to contribute no mediation effects on the relationships of any of the components with the actual ACP.

This study’s findings are widely useful for marketers and managers to plot their promotional and campaigning strategies, emphasising factors that motivate consumers to adopt cashless payment. The obtained findings also benefit architects and designers in designing products and services by consolidating lifestyle standards and other requirements of consumers. Policymakers should implement policies and strategies to enforce rules and educate the public to widely adopt cashless payment across various sectors.

This study extended the UTAUT model with two new variables, i.e. PTR and LCM.

This study aimed to examine the role of big data analytics capabilities (BDAC) in fostering organizational innovation capabilities and, consequently, in achieving economic, social and environmental sustainability.

Through the lens of dynamic capability theory, this study surveyed 115 hotels using purposive sampling to gain in-depth insights regarding the factors affecting organizational sustainability in the hospitality industry. The data analysis was conducted using partial least squares-structural equation modeling (PLS-SEM).

The findings reported a substantial impact of seven core dimensions (i.e. technology, data, basic resources, technological skills, managerial skills, organizational learning and data-driven culture) in building BDAC among hotels. Moreover, BDAC was also revealed to significantly influence innovation capabilities, positively impacting all three sorts of sustainability performance. Innovation capability also mediated the relationship between BDAC and all sustainability factors.

The findings will assist policymakers and practitioners in developing effective initiatives to enhance the adoption and implementation of data science and technologies, substantially contributing to the “National IR 4.0 Policy” and “Malaysia Digital Economy Blueprint” and achieving sustainable development goals (SDGs).

The originality of this study is established by investigating the interplay between BDAC, innovation capability and sustainability performance, particularly in the context of the hotel industry, whereas the existing studies focus on exploring the advantages of BDA.