Adoption of e-wallet in the post-pandemic era: A study on Generation X’s intention to use e-wallet

This study is aimed at determining the effect of expected effort and social influence factors on expected performance when using internet banking. The study adapts the constructs and definitions from the UTAUT model in the context of the adaptation of online banking technology. With regard to the nature of the variables analyzed, the following statistical tests and methods were used: calculation of average values using descriptive statistics; multiple linear regression analysis – to interpret associations between quantitative variables. Banks, as well as users of these banking services in the online environment, are the subject of research. The survey sample consists of 454 men and women and reflects the profile of online consumers across different countries of the European Union. The results of this study show the impact of the social influence construct on the respondents’ behavior when using electronic banking. The expected effort factor in the study significantly affects the expected performance factor, which can be characterized by original research, which showed that the effect of perceived ease of use on behavioral intent and use is incompatible with the degree of system complexity.

Given the negative utilitarianism and difficulty in maintaining long-term loyalty, hospitals resort to a variety of images that define and redefine their relationship strategies in order to stay patient-centric. As in any other sector, in healthcare, patients play an important role in service design and delivery. The basic services of medical appointment scheduling, online payment and health information search are recognized as one of the most important elements that increase patient footfall, service planning, patient satisfaction and their continued usage, in particular in developing economies such as India. This study seeks to understanding the basic e-Health services continuance usage intention among patients by integrating the Expectation Confirmation Model (ECM) and the Technology Acceptance Model (TAM) and extending them by including certain external variables. With a well-structured questionnaire, a survey of 453 respondents – out-patients and care-givers, who should have used e-Health services at least once, in particular, visited multispecialty hospitals, revealed that along with the ECM and TAM constructs such as satisfaction, confirmation, perceived ease-of-use, and perceived usefulness, the external variables such as trust, social influence, perceived service quality, and perceived privacy and security had a significant influence (p < 0.05) on e-Health services continuance usage. The main findings of the study contribute to developing and empirically testing a model that explains the basic process of motivating the e-Health service users for continuance usage intention.

E-government is the use of internet platforms to deliver governmental services to citizens with the goal of improving government efficiency, transparency, and participation. This study aims to find out what factors determine the rate at which public university in Indonesians accept e-government services. This study uses the Technology Acceptance Model (TAM). TAM is a traditional model of technology diffusion that is an essential conceptual criterion. It drives acceptance consisting of perceived usefulness and perceived ease of use. The results of this paper back up the original TAM hypothesis. Based on the data collected and analyzed, the study concludes that three influencing factors, namely perceived usefulness (PU), perceived ease of use (PEU), and perceived risk (PR), are significantly related to the intention to use e-commerce government. However, trust and social influence do not significantly affect the intention to use e-government services. This paper has significant implications for policymakers and government officials who want to see the growth of e-government usage in Indonesia. When attempting to market a new online system from the perspective of human-computer interaction, it becomes evident that designers must consider how users perceive the risks.