Unified Theory Of Acceptance And Use Of Technology Research Articles

Exploring the influence of a virtual reality experience on user acceptance of shared autonomous vehicles: A quasi-experimental study in Brussels

This paper investigates the intention to use shared autonomous vehicles in Brussels before and after an experience in virtual reality, in which a scenario of a city with shared autonomous vehicles was visualized taking into account transformations that are not possible to implement in real life such as urban form changes. 51 participants took part in a quasi-experiment and their acceptance of autonomous vehicles was measured before and after, using surveys based on the unified theory of acceptance and use of technology (UTAUT). Using partial least squares structural equation modeling, we model user acceptance pre- and post-VR experience and compare the change in influencing factors. Results show that, under the conditions we defined, the intention to use autonomous shuttles was influenced by the virtual reality experience, as there was an increase in the behavioral intention and a change in the significant predictors. Overall, we found evidence that the virtual reality experience did influence the acceptance of autonomous vehicles, and can then be an effective test bed to visualize future impacts of autonomous vehicles that are impossible to project in real life. Our study constitutes then a first step into exploring potential usages of virtual reality to project long-term visions of future developments of cities with shared autonomous vehicles.

Hospitality 2.0: Applying the UTAUT model to understand guest perspectives on personalised technologies in hotels

ABSTRACT This study evaluates hotel guest perspectives on adopting personalised technology-enabled hospitality services by using a quantitative survey methodology. Applying unified theory of acceptance and use of technology (UTAUT) model constructs, the questionnaire gauges 200 guest views on performance benefits, usage effort and conditions influencing adoption of artificial intelligence (AI), the internet of things (IoT) and mobility. Descriptive and correlational analyses highlight innovation by capability and reveal barriers around complexity, privacy and reliability. Findings can inform hotel technology investment decisions and strategic planning to effectively leverage data-driven customisation capabilities across the entire guest journey — from pre-arrival trip planning to post-stay loyalty building. It will also help towards the Hospitality 2.0 vision of balancing digitisation with human connections. This empirical assessment aims to advance sector transformation and next-generation experience elevation through prudent prioritisation guided by evidence-based user willingness going beyond speculative innovation.

Trust and Religiosity: Integrating Technological Acceptance Factors into the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) Model for Zakat Online Payment Systems

The aim of this study is to examine the adoption of digital zakat payment platforms among micro-entrepreneurs, incorporating trust and religiosity into the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This research extends the traditional UTAUT framework by integrating trust and religiosity as additional determinants of technology adoption intention, alongside the model's core constructs of performance expectancy and social influence. Primary data for this study was gathered through a digital survey disseminated to 110 micro-entrepreneurs in the state of Kedah, all of whom are actively registered with the Malaysian Company Commission (SSM), under the auspices of the Ministry of Domestic Trade, Cooperatives, and Consumerism (KPDNKK). The methodological approach is rooted in structural equation modelling, which facilitates a rigorous empirical analysis of the relationships between technological constructs and user intention. The results reveal that trust and performance expectancy, along with social influence, significantly impact micro-entrepreneurs’ intentions to engage with online zakat payment systems. Interestingly, despite the religious nature of zakat, religiosity did not emerge as a significant predictor in the context of this digital payment adoption. This insight suggests that while religious obligation drives the act of zakat itself, it is the technological aspects of trust and anticipated performance that influence the preference for digital payment methods over traditional ones. This research provides valuable implications for zakat institutions and policymakers aiming to foster the digitalization of religious financial transactions. By highlighting key factors that influence digital adoption, the study underscores the potential for zakat management bodies to innovate and promote digital solutions that align with micro-entrepreneurs' expectations and trust requirements. Ultimately, this study charts a path forward for enhancing digital inclusivity in religious financial practices, marking a transition from conventional to modern, technology-enabled means of fulfilling zakat obligations.

The Acceptance of Mobile Applications for Government Services (MG- App): A Study From Users’ Perspective

Purpose: The objective of this study is to identify and analyze various factors that influence users' acceptance of mobile government applications (mG-Apps). Methodology: This study has constructed a research model grounded on the Unified Theory of Acceptance and Use of Technology (UTAUT). Further, information quality and trust, two vital constructs, have been added to the UTAUT to enhance the predictability of the model. Data collected from a sample size of 212 from Bangladesh has been used to test the model. Findings: We have employed the popular structural equation modeling (SEM) to assess the data. Our results suggest that the significant elements impacting users' acceptance of mG-Apps are performance expectancy, effort expectancy, facilitating conditions, information quality and trust. In contrast, social influence is identified as an insignificant predictor. Practical Implications: This research will assist different government agencies, policymakers, and practitioners in the creation of timely and effective policies to develop and promote myriad mG-Apps to render services to the citizens. Originality/Value: This research has offered an innovative framework to assess the acceptance of mG-apps by the citizens. This unique model has been constructed by expanding UTAUT with two key contextual constructs such as information quality and trust. We believe, this study will contribute to the extant body of theory surrounding the use of mobile government, e-government, and mobile applications development. Limitations: This study only looks at the opinions of people in Bangladesh, hence the researchers recommend that the proposed study model should be validated by using data collected from other similar countries.

University Teachers’ Views on the Adoption and Integration of Generative AI Tools for Student Assessment in Higher Education

This study examines the factors that may impact the adoption of generative artificial intelligence (Gen AI) tools for students’ assessment in tertiary education from the perspective of early-adopter instructors in the Middle East. It utilized a self-administered online survey and the Unified Theory of Acceptance and Use of Technology (UTAUT) model to collect data from 358 faculty members from different countries in the Middle East. The Smart PLS software 4 was used to analyze the data. The findings of this study revealed that educators developed new strategies to integrate Gen AI into assessment and used a systematic approach to develop assignments. Moreover, the study demonstrated the importance of developing institutional policies for the integration of Gen AI in education, as a driver factor influencing the use of Gen AI in assessments. Additionally, the research identified significant factors, namely performance expectancy, effort expectancy, social influences, and hedonic motivation, shaping educators’ behavioral intentions and actual use of Gen AI tools to assess students’ performance. The findings reveal both the potential advantages of Gen AI, namely enhanced student engagement and reduced instructor workloads, and challenges, including concerns over academic integrity and the possible negative impact on students’ writing and thinking skills. This study emphasizes the significance of targeted professional development and ethical criteria for the proper integration of Gen AI in educational assessment.

Investigating Factors Impacting the Use of Ride-Hailing Service Applications

Environmental impact of modern-day transport has made citizens concerned about the footprint left by these innovations. Mobile application-based ride-hailing services, recently emerged in developing countries are regarded as technology-based innovative products to meet the growing travel demand among commuters. Technology upgrades have allowed smartphone users to access the ride-hailing services apps with ease. Ride-hailing service entered the Pakistani market in the year 2016. Since then, the demand for these services has been on the rise. Therefore, this study aims to investigate which factors have a causal relationship with travelers’ intention to use ride-hailing services in the backdrop of unified theory of acceptance and use of technology (UTAUT). Data were collected through questionnaire from 1,694 respondents at two time points. This study analyzes the hypothesized relationships with structural equation modeling in partial least square with SmartPLS 4. Results shows that environmental citizenship and perceived convenience along with UTAUT constructs have a significant effect on intention to use ride-hailing applications in the long-run, indicating causal relationships. The study extends UTAUT model with two antecedents of perceived convenience and environmental citizenship behavior.

Behavioral and Psychological Determinants of Cryptocurrency Investment: Expanding UTAUT with Perceived Enjoyment and Risk Factors

With their potential for high returns and expanding role in the financial landscape, cryptocurrency investments have garnered the attention of the financial press and investors. Applying an integrated research model based on the Unified Theory of Acceptance and Use of Technology (UTAUT), this study investigates the factors influencing individual investors’ attitudes toward cryptocurrency investments and their intention to continue investing. The model incorporates constructs such as performance expectancy, effort expectancy, social influence, perceived risk, perceived privacy, technology competency, perceived enjoyment, and prior experience. Data from 506 cryptocurrency investors located in the United States were collected through a 50-item questionnaire. The findings indicate that performance expectancy and perceived enjoyment positively impact attitudes toward cryptocurrency investments, which, in turn, influence the intention to continue investing. Perceived privacy positively affects performance expectancy, while technology competency enhances effort expectancy. These results offer valuable insights for policymakers and cryptocurrency exchanges to foster sustainable growth in the cryptocurrency market. Despite its contributions, the study acknowledges limitations, including a focus on current investors in the US and the exclusion of factors such as optimism and innovativeness. Future research should explore these aspects across different populations and regions to gain a more comprehensive understanding of cryptocurrency investment behavior.

Recontextualising the Unified Theory of Acceptance and Use of Technology (UTAUT) Framework to Higher Education Online Marking

The Higher Education (HE) sector has faced an exceptional period of complex and fast-moving change, meaning staff have had to quickly adjust their teaching delivery, reconsider how learning outcomes are assessed, and adopt new technologies. Despite significant efforts by HE staff across these areas, the willingness to adopt new tools and technologies is not consistent across all staff cohorts and indeed some researchers suggest that this willingness, or readiness to adopt emerging technologies and educational tools can be shaped by individual differences, attitudes, and social norms.This study focuses on education technology acceptance in HE via a specific university and explores the use of technology enhanced feedback and marking tools, such as online embedded rubrics. Underpinned by the unified theory of acceptance and use of technology (UTAUT), this research project aims to explore the perceptions of staff towards online feedback and marking practices. In turn, the research project considers the relevancy of the UTAUT model in differing / current contexts. Contribution manifests through a) the methodological choice of qualitative semi-structured interviews to explore the UTAUT dimensions, b) the deep contextual understanding of the challenges HE staff face in adopting and implementing new technologies, c) suggested adaptations to UTAUT, and c) recommendations for HE practice.

Determining the acceptance of e-mental health interventions in elite athletes using the unified theory of acceptance and use of technology.

Elite athletes are exposed to many different sport-specific stressors that may put them at particular risk for mental health symptoms and disorders. E-mental health interventions could be a feasible option to support elite athletes in need. The aim of the present study was to assess the acceptance of e-mental health interventions among elite athletes and explore its underlying drivers and barriers. A cross-sectional study was conducted with N = 382 elite athletes. Of these, N = 275 (71.99%, 167 females) were included in the statistical analyses. The impact of various sociodemographic, sport-related and medical characteristics on acceptance was assessed. EHealth-related data and acceptance of e-mental health interventions were examined using a modified assessment based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Overall, the acceptance of e-mental health interventions in elite athletes can be classified as high (M = 3.69 SD = 0.97). In the UTAUT regression model sex, financial situation, depression symptoms, digital confidence, digital overload as well as the UTAUT predictors performance expectancy, effort expectancy, and social influence predicted acceptance significantly. The UTAUT model has proven to be a valuable instrument in predicting of acceptance of e-mental health interventions in elite athletes. Given the strong association between acceptance and future use, new interventions should focus on the explored factors to establish effective e-mental health interventions for elite athletes.

Analysis of User Acceptance of the Mobile Application of National Health Insurance Using the UTAUT Model

Development technology in the field health own positive impact. On the field Health services are available developed mobile applications Forgive Health services to public by online. The Mobile JKN Application has objective For give service health to community and make it easier power health For give service optimally. On research This analyze about reception user The Mobile JKN application uses the Unified Theory of Acceptance and Use of Technology (UTAUT). Respondent data obtained during spread questionnaire that is as many as 110 respondents. Respondent data Then analyzed using Structural Equation Model (SEM) research results This show that Performance Expectancy (PE) and Social Influence (SI) have an influence significant to Behavioral Intention (BI). However, for Effort Expectancy (EE) it is not influential significant to Behavioral Intention (BI) with t-test values are 2.224, 2.224, and 1.198 respectively. Third variable the can explain influence to Behavioral Intention (BI) was 34.3%. Whereas for Facilitating Conditions (FC) and Behavioral Intention (BI) influence significant towards Use Behavior (UB) with t-test values are 4.013 and 5.636 respectively. As well as second variable the can explain influence on Use Behavior (UB) of 59.3%. So on research explain reception user to use Mobile JKN application with using UTAUT.

The Use of Smart Lockers in China’s Smart Villages Construction: Expanding UTAUT With Price Value and Technical Anxiety

With the rapid development of e-commerce, Online shopping has not only brought convenience to people’s lives, but also accelerated the explosion of express delivery. As a device that provides 24-hr self-service pickup and delivery services, smart lockers are increasingly accepted by more and more express delivery companies and consumers. However, in rural China, there are few outlets and low usage rates for express delivery cabinets. Especially for the elderly, the use and acceptance of smart lockers are significantly lower. Therefore, how to improve the usage intention of intelligent express delivery cabinets has become a problem that needs to be solved in the development process of smart rural areas. This study develops a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT), and conducts empirical testing to determine the key factors affecting the willingness of rural Chinese consumers to use smart lockers. This study used a questionnaire survey method to collect data, and a total of 240 valid questionnaires were collected. The partial least squares (PLS) method was used to measure and test the research hypotheses. The results indicate that performance expectancy, facilitating conditions, price value and technology anxiety have a positive impact on consumers’ intention to use. There is no significant relationship between effort expectancy and social influence and users’ behavioral intention to use smart lockers. The results of this study will help enrich UTAUT, provide valuable information for enterprises, and contribute to the implementation of smart villages strategies.

A structural model of pre-service teachers’ attitude, acceptance, and continuance intention towards mobile augmented reality

The increasing prevalence of mobile augmented reality (MAR) has garnered attention in contemporary times. However, its application within educational settings remains largely untapped, primarily due to its predominant utilization in entertainment domains. MAR presents opportunities for augmenting learning experiences, fostering enhanced adaptability in educational methodologies, and enriching students’ academic endeavors. Therefore, this study aims to enhance the use of MAR and formulates a model of MAR usage for pre-service teachers. In the context of this study, MAR learning cardiovascular (MARLCardio) serves as an experimental tool for exemplifying the features of MAR. This study integrates the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and Expectation Confirmation Model (ECM) as underpinning theories. This study was undertaken to determine factors that influence pre-service teachers’ attitude, acceptance, and their intention to continue using MAR in the learning process. Responses from 456 pre-service teachers through a survey were analyzed using structural equation modelling. Findings in this study found that pre-service teachers agree that facilitating condition play a crucial role in shaping pre-service teachers’ positive attitude and influencing their intention to continue using MAR. Meanwhile, performance expectancy plays a major role in ensuring pre-service teachers’ acceptance of using MAR in their learning process. It was anticipated that the formulated MAR structural model would offer insights and support forthcoming research endeavors aimed at fostering the sustainability of MAR utilization.

Optimizing Learning Management System Using UTAUT Model: Environment, Compatibility, Material Content, and Interactivity for Enhanced Usability

he purpose of this study is to analyze the factors that influence Behavioral Intention to Re-use to users of online learning applications in learning. Combining the Unified theory of acceptance and use of technology (UTAUT) with the theoretical results of the previous literature related to the effectiveness of learning using an online learning system. The data collection method used a questionnaire distributed to 110 users of the Ruangguru or Zenius learning management system. The study used a quantitative method with the Structural Equation Modeling (SEM) method and was tested empirically using Partial Least Square (PLS). The results showed that the learning environment, content quality, and level of interactivity positively and significantly influenced the perceived ease of use, ultimately affecting behavioral intention. Device or technical factors and the perceived ease of use positively and significantly influenced the perceived usefulness.

Factors driving the acceptance of COVID-19 pandemic mobile contact tracing apps: The influence of security and privacy concerns

The acceptance of COVID-19 mobile contact tracing apps (MCTA) is crucial to curb the spread of the virus and decrease the number of infections. However, the security and privacy concerns (SPC) of COVID-19 MCTA have been called into question. Thus this paper examines the drivers of the acceptance of the COVID-19 pandemic MCTA under the auspices of the influence of SPC from the Chinese perspective based on the modified Unified Theory of Acceptance and Usage of Technology (UTAUT) model. The data generated through a questionnaire based on the convenient sampling technique was analyzed with SPSS by performing hierarchical regression analysis. The results show that the core constructs of UTAUT such as performance expectancy (PE), facilitating conditions (FC), effort expectancy (EE), and social influence (SI) along with mobile self-efficacy (MSE) were significant predictors of individual user acceptance of COVID-19 MCTA. Additionally, the study confirmed that security and privacy concerns were significant in moderating the impact of PE, FC, EE, SI, and MSE on the acceptance of COVID-19 MCTA. The managerial and theoretical implications of these findings for policy-makers, governments, mobile app developers, and researchers are interrogated.

Gender as a Moderator to Students’ Behavioral Intention Toward Online Learning

The study has used the theoretical constructs of unified theory of acceptance and use of technology (UTAUT) model and explored the student's intention to use online learning through EdTech apps. Specifically, the moderating effect of gender has been analyzed. Primary data has been collected from Indian students enrolled in online learning during the COVID-19 pandemic. The partial least squares multi-group analysis (PLS-MGA) technique has been used for data analysis. Results have indicated that self-management of learning, perceived-playfulness, effort-expectancy, and performance-expectancy positively influence the use of online learning, while social influence had insignificant influence. Further, the perceived-playfulness was found to have a high impact on the behavior intention of female students in India.

Scalable Innovative Factors for Shaping Consumer Intentions on Electric Two-Wheelers Adoptions

Electric two-wheelers (ETWs) have emerged as a dominant choice over traditional counterparts in global consumer markets, prompting a shift in consumer behaviour. While existing research has delved into the adoption of ETWs, there remains a notable gap in understanding the intricate factors driving consumer adoption, particularly their inclination toward innovation. This study investigates the landscape of ETWs in India, focusing on facilitating conditions, pricing dynamics, personal innovativeness, and behavioral intentions. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, 220 Indian ETW users were surveyed to elucidate the interplay between facilitating conditions, price, and behavioral intentions, mediated by personal innovativeness. The findings underscore the significant impact of facilitating conditions and price on behavioral intentions, with personal innovativeness serving as a pivotal mediator in this relationship. Moreover, this study underscores the importance for ETW businesses to prioritize user-friendly designs, ensuring a seamless and enjoyable experience for consumers. Furthermore, targeting highly innovative consumers emerges as a strategic imperative for businesses in devising effective marketing strategies. By shedding light on facilitating conditions, price dynamics, personal innovation, and behavioral intentions, this study contributes valuable insights to the existing literature. In terms of environmental sustainability, the scalability of electric twowheelers contributes to reducing greenhouse gas emissions and mitigating air pollution in urban areas. As more individuals switch from gasoline-powered vehicles to electric two-wheelers, the collective impact on reducing carbon emissions and improving air quality becomes increasingly significant, especially in densely populated regions where transportation-related pollution is a major concern. Additionally, it offers a nuanced understanding of the mediating role of personal innovation in the context of ETWs, thereby informing future research and strategic initiatives in the field of electric mobility.

Towards a Sustainable Financial Future: Exploring the Influence of E-Wallet Adoption Among Gen Z in Malaysia

The COVID-19 pandemic has prompted a shift in payment approaches, with a preference for e-wallets. Despite their potential, Malaysians lag in adopting e-wallets. It is necessary to gain a deeper understanding of the factors influencing e-wallet adoption, especially through Gen Z. Therefore, we conducted this study using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to explore the factors influencing e-wallet adoption among Gen Z. Interviews with eight members of Gen Z reveal that advantages like time savings and the ability to manage and monitor transactions drive the adoption of the e-wallet payment method. Emergent themes, such as government incentives and the convenience of donating, further delineate the adoption of e-wallets. The adoption of e-wallets will eventually promote sustainable consumption by replacing cash transactions and reducing carbon emissions due to the reduced physical transit of financial resources. This study enhances the UTAUT and suggests prospective avenues for the growth of e-wallets in Malaysia. Practically, the findings are advantageous for financial service providers that are enhancing their e-wallets, as well as for government initiatives to transition to a cashless society and ultimately achieve sustainable development goals.

Assessment of Student Satisfaction with E-learning in Jordan Using TAM and UTAUT as a Mediator for Synchronous and Asynchronous Learning

This study aims to evaluate student satisfaction with e-learning in Jordan by combining the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). This research also delved into the study of the mediating role played by both synchronous and asynchronous learning and their impact on students’ satisfaction with e-learning. Data was collected through a questionnaire distributed to 590 students studying at four private Jordanian universities in northern Jordan. To analyse the study model, Smart PLS was used because it offers a robust methodology for such complex constructs. The results show that both synchronous and asynchronous learning significantly and positively affect students’ satisfaction with e-learning. The results also revealed that the relationship between synchronous learning and perceived usefulness was statistically significant. Regarding asynchronous learning, the relationship with perceived ease of use was positive and statistically significant. Turning to the TAM and UTAUT variables as independent variables, the results revealed a direct and statistically significant relationship between these variables and students’ satisfaction with e-learning. This study provides valuable insights into the factors that influence student satisfaction with e-learning in Jordan and presents a new approach by integrating synchronous and asynchronous learning as a mediator within the TAM and UTAUT frameworks. The findings highlight the nuances of technology acceptance and use in the context of e-learning, which can benefit educational institutions and policymakers in enhancing the e-learning experience for students in Jordan.

Transforming Mosque Financial Management: Utaut Insights into E-Payment Readiness

This paper aims to summarize studies on the Unified Theory of Acceptance and Use of Technology (UTAUT) in e-payment readiness and identify the research gap. The study used a systematic literature review method. A total of 33 articles on UTAUT were published over the past five years, from 2019 to 2023. The 33 articles were the subject of the study. The data were collected by studying documentation of several previous articles through database searches such as Web of Science and Scopus. The data analysis techniques were quantitative (statistical) and qualitative (descriptive). This study indicated that 33 articles highlighted UTAUT in e-payment readiness, demonstrating that there is still a lack of studies involving e-payments at mosque institutions, especially among management groups. The findings will provide mosque authorities with a comprehensive overview of mosque financial digitalization for more relevant and efficient fund collection methods.

Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application

My TelU Mobile is a learning support application released by Telkom University on May 25, 2021. This application can be downloaded on the Play Store and App Store and has become a super app that has quite a high number of downloads. However, its user traffic is not yet stable, as seen in the decreasing usage traffic during the lecture period. The purpose of this study was to determine the factors that influence the acceptance and use of the My TelU Mobile application using an integration of the UTAUT-2 and Delone & McLean models. This study uses a quantitative method with descriptive and causal research types. The sampling technique uses a non-probability sampling technique of the purposive sampling type with a sample size of 400 respondents. The data analysis technique uses descriptive analysis and PLS. The findings of this study are that effort expectancy, information quality, service quality, user satisfaction have a significant effect on continue use intention and system quality, information quality, service quality have a significant effect on user satisfaction. However, performance expectancy, social influence, facilitating condition, habit, hedonic motivation, and system quality do not have a significant effect on continue use intention of My TelU Mobile application.