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Transparency is one of the finest characteristics of blockchain technology. As blockchain’s technical enablers are traceable and irreversible, transparency allows for more confidence in the system. This study aims to apply and extend the theoretical model of the unified theory of acceptance and use of technology (UTAUT2) by empirically investigating the factors (performance expectancy, price value, facilitating conditions, hedonic motivation, habit, social influence and effort expectancy) that influence users’ perceived transparency of blockchain-as-a-service for e-voting and its effect on adoption intention; to investigate the mediating effect of perceived blockchain transparency on the relationship between UTAUT2 antecedents and intention to use blockchain-based e-voting technology; and to investigate Generations Z and Y’s perceptions of how blockchain technology can be implemented to the current e-voting system.

The authors primarily used the MTurk crowdsourcing platform to host their online survey and collected 251 valid responses from their targeted participants, which the authors analyzed using Smart PLS 4.0.

The findings revealed that users’ perceived expectancy, hedonic motivation, facilitating conditions, habit and price value positively influence the perceived transparency of blockchain-as-a-service for e-voting. This, in turn, positively influences adoption intention. In addition, users’ perceived transparency positively mediates the relationship between UTAUT2 factors (perceived expectancy, hedonic motivation, facilitating conditions, habit and price value) and the adoption intention of blockchain-based e-voting.

By empirically investigating the factors that enhance users’ perceived transparency of blockchain-as-a-service for e-voting, this study contributes to the UTAUT2 model literature. It also investigates the impact of this perceived transparency on the adoption intention and illustrates its mediating role in the UTAUT2 model through a segmentation approach. Finally, the authors address the significant implications of the findings, including how their research contributes to the transparency literature by emphasizing the significance of transparency in blockchain technology.

Prior studies have put much emphasis on using the uses and gratification (U&G) theory to find out why people use games, social media, the Internet, e-shopping, etc. Despite past research efforts, the root causes underlying this phenomenon still need to be discovered as to why people use interactive virtual rides (vrides) entertainment services, especially when incorporating the hedonic consumption perspective (i.e. playful-consumption experiences). Considering the knowledge gap in the vrides’ context, this study aims to use the UGT to find out why people use the vrides entertainment service from a hedonic consumption point of view.

With 217 usable responses, the research model was tested using partial least squares-based structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).

Findings reveal that only perceived enjoyment, arousal and sensory experience derive continuous intention behavior to consume vride entertainment service. Findings using the fsQCA revealed multiple causal configurations for the proposed outcome.

This study contributes to extending the assumption of UGT via incorporating the hedonic consumption perspective to explore the potential motives and intention to consume vrides entertainment services. Our study also discusses the important theoretical/practical implications of our findings. Besides, this study is unique because it shows both symmetrical and asymmetrical connections that help us understand why people keep using vrides entertainment service.