ABSTRACT
Building initial trust is critical for the acceptance of shared autonomous vehicles (SAVs). Initial trust determines whether this emerging mobility solution will be accepted when it is available in the market. This study examines the initial trust formation process in the context of SAVs using the elaboration likelihood model and trust transfer theory. It investigates the effects of different personality-based, transfer-based, and performance-based factors on initial trust and adoption intention. A structural equation modelling is conducted in Singapore based on valid survey design principles, sampling protocols, and data analysis procedures. Results show that among three trust-building paths, the performance-based factors which include SAV capability and interaction quality are the most important. The transfer-based (i.e., trust in shared mobility) and personality-based factor (i.e., trust propensity) rank second and third, respectively. Six moderators such as covid history and shared mobility experience are also tested to investigate significant differences in the results. Based on these findings, this study offers theoretical and policy implications for scholars and practitioners.
ABSTRACT
Purpose This study aims to identify the acceptance factors in the UAE for the digital mobile payment market, introduces a new hierarchical framework based on the continuation intention factors and prioritises the importance of the acceptance criteria and sub-criteria. Design/methodology/approach The measurement of acceptance factors in payment systems is a complex and unstructured topic involving many criteria and sub-criteria, which requires breaking the problem down into several components organised in a hierarchical multi-level form. The analytic hierarchy process (AHP) methodology manages the complexity of multi-criteria decision-making processes based on a new set of criteria connected to the adoption and continuance intention factors. Findings The AHP framework developed a ranking of 18 sustainability sub-factors based on evaluations by experienced payment professionals. Research limitations/implications The future directions of the research would be to investigate the impact of dynamic capabilities on the resilience of retail service networks, especially during COVID-19, where supply and demand are highly indeterminate. Practical implications Through successive stages of data collection, measurement analysis and refinement, the contribution of this research is a reliable and valid framework that can be used to conceptualise and prioritise sustainability strategies in payment management. Originality/value Given the lowest mobile payment products penetration rates of the UAE and the scarcity of literature on this topic, this study aims to contribute to the knowledge by including UTAUT, the IS success model and the impact of COVID-19 as adoption and continuance intention factor in the digital mobile payment case in the UAE.
ABSTRACT
Using an extended unified theory of acceptance and use of technology, the goal of this paper is to investigate the antecedents of behavioral intention towards mobile money, as well as the mediating effect of trust between behavioral intention and financial inclusion in Vietnam during the COVID-19 period (UTAUT2). The data for this study was obtained via an online self-administered questionnaire, which was then analyzed using the SmartPLS 3.3.3 program. For the purpose of determining the relevance and performance of the exogenous constructs, an importance-performance matrix analysis was performed. The findings of this study suggest that knowledge, structural assurance, habit, and performance expectancy are the most important factors influencing users' behavioral intention to use mobile money. In the case of mobile money adoption, the behavioral intention has a significant influence, and trust does not mediate between behavioral intention and financial inclusion. For the first time in Vietnam, the extended UTAUT2 is being used to investigate mobile money usage and adoption patterns. The current study, however, focuses on users' financial inclusion goals rather than their intended behavior.
ABSTRACT
BACKGROUND: Contact tracing apps are an essential component of an effective COVID-19 testing strategy to counteract the spread of the pandemic and thereby avoid overburdening the health care system. As the adoption rates in several regions are undesirable, governments must increase the acceptance of COVID-19 tracing apps in these times of uncertainty. OBJECTIVE: Building on the Uncertainty Reduction Theory (URT), this study aims to investigate how uncertainty reduction measures foster the adoption of COVID-19 tracing apps and how their use affects the perception of different risks. METHODS: Representative survey data were gathered at two measurement points (before and after the app's release) and analyzed by performing covariance-based structural equation modeling (n=1003). RESULTS: We found that uncertainty reduction measures in the form of the transparency dimensions disclosure and accuracy, as well as social influence and trust in government, foster the adoption process. The use of the COVID-19 tracing app in turn reduced the perceived privacy and performance risks but did not reduce social risks and health-related COVID-19 concerns. CONCLUSIONS: This study contributes to the mass adoption of health care technology and URT research by integrating interactive communication measures and transparency as a multidimensional concept to reduce different types of uncertainty over time. Furthermore, our results help to derive communication strategies to promote the mass adoption of COVID-19 tracing apps, thus detecting infection chains and allowing intelligent COVID-19 testing.