UTAUT Model Research Articles

The moderating role of cost and convenience on the relationship in the UTAUT model to adopt e- payment services

The moderating role of cost and convenience on the relationship in the UTAUT model to adopt e- payment services

Exploring Mobile Banking Adoption in Indonesia using UTAUT2: A Consumer Perspective Approach

This research aims to determine the factors influencing the acceptance and use of Mobile Banking using UTAUT2 model in banking companies registered in LQ45. The independent variables used in this research are Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value and Habit. The dependent variable used is Use Behavior. The intervening variable used is Behavioral Intention. The sample in this research was Mobile Banking users from banking companies registered in LQ45, with 280 respondents. The sampling technique used is non-probability sampling with a purposive sampling method, using primary and quantitative data. The analysis technique in this research uses Smart PLS 3.0 by analyzing outer models such as validity and reliability tests, and inner models such as R-Square, Path Coefficient, and Path Analysis. The research results show that Performance Expectancy, Social Influence, Price Value, and Habit have a direct influence on Behavioral Intention. Effort Expectancy, Facilitating Conditions, and Hedonic Motivation have no direct influence on Behavioral Intention. Facilitating Conditions and Behavioral Intention directly influence Use Behavior. Meanwhile, Habit has no direct influence on Use Behavior.

Examining determinants of auditors’ intention to use CAATs in external auditing using an extended UTAUT model; evidence from Sri Lanka

Examining determinants of auditors’ intention to use CAATs in external auditing using an extended UTAUT model; evidence from Sri Lanka

Understanding cryptocurrency investment behaviour in Jordan: an examination of motivational drivers through the lens of the UTAUT2 model

Understanding cryptocurrency investment behaviour in Jordan: an examination of motivational drivers through the lens of the UTAUT2 model

Comparative analysis of FinTech adoption among Islamic and conventional banking users with moderating effect of education level: A UTAUT2 perspective

This study aims to examine the consumer behavior with regards to the FinTech services in the context of Pakistan and identify the consumers’ driver and detractors to adopt FinTech firm. Tapping into an area yet un-explored, it seeks to propose a conceptual framework based on the UTAUT2 model and extend the FinTech adoption model by determining the effect of performance expectancy and effort expectancy based on educational segmentation. In a similar vein, it aims at examining the gaps in the adoption of FinTech services in both Islamic banking as well as the conventional competing banks of Pakistan. This paper employed a quantitative research design; data were collected from 382 subjects in Karachi, Pakistan Convenience sampling and random number generation were employed to minimize biased. This study sought participants’ responses to the survey questionnaire of 22 items, distinguishing the seven constructs of the UTAUT2 and a new one, education level, on a five-point Likert scale. Concerning the sample size and the research methods that were used, the rationale was given in line with the available guidelines and the results of empirical research in the field of behavioral sciences. As the research hypothesis postulated, the study revealed performance expectancy, effort expectancy, social influence, and facilitating conditions as independent factors influencing behavioral intention to use FinTech, although the moderating effect of education level only affected the relationship between the performance expectancy and behavioral intention to use FinTech influenced by it. They also found differences between Islamic and conventional banking users, and the enhancing/attenuating impacts of the constructs on the behavioral intention alertly. This research underscores the essential factors that influence the behavioral intention of the users towards FinTech services – performance expectancy, effort expectancy, social influence, and facilitating conditions – with implications for promoting positive service experiences. Financial technology firms must heed these insights to create simple and secure applications to increase the adoption of FinTech innovations that are sensitive to the anglophone African cultures. Besides, the focus on deploying rather diverse local initiatives for comprehending and constantly improving the FinTech services based on people’s feedback can increase consumers’ trust and expectations.

Acceptance of Telerehabilitation Among Physiotherapists in Turkey and Factors Affecting Acceptance: A Cross-Sectional Analysis

Aim: This study aimed to assess the factors influencing the acceptance of telerehabilitation among physiotherapists in Istanbul. Methods: A cross-sectional study was conducted among 170 PTs (F/M: 94/76, mean age:29.4 years) working in Istanbul. Data were collected through a questionnaire regarding scales of ‘‘Unified Theory of Acceptance and Use of Technology’’ and ‘‘Perception of Innovation’’. UTAUT has 5 components which are ‘‘Performance Expectancy’’ (PE), ‘‘Effort Expectancy’’ (EE), ‘‘Social Influence’’ (SI), ‘‘Facilitating Conditions’’ (FC), ‘‘Behavioral Intention’’ (BI). The model was modified by adding ‘‘Telerehabilitation Usage Behavior’’ and ‘‘Perception of Innovation’’ to these structures. After preliminary analyses, structural equation modelling was employed to assess relationships between key constructs and variables within the proposed model Results: The modified UTAUT model demonstrated a good fit for understanding the acceptance of telerehabilitation among physiotherapists, as indicated by favorable goodness-of-fit indices (SRMR = 0.03, GFI = 0.99, AGFI = 0.92, CFI = 0.97, and RMSEA = 0.00). This model accounted for 68% of the variance in ‘‘Behavioral Intention’’ to use telerehabilitation and 28% of the variance in ‘‘Telerehabilitation Usage Behavior’’. The results revealed that ‘‘Behavioral Intention” directly influenced ‘‘Telerehabilitation Usage Behavior’’ (β = 0.53) and ‘‘Social Influence’’ directly affected ‘‘Behavioral Intention’’ (β = 4.96). Additionally, the relationship between ‘‘Social Influence’’ and ‘‘Behavioral Intention’’ was found to vary with age (β =-5.81, p

An extension of UTAUT model to understand elementary school students’ behavioral intention to use an online homework platform

An extension of UTAUT model to understand elementary school students’ behavioral intention to use an online homework platform

Usage intention of tourists regarding the acceptance of artificial intelligence enhanced tour guides apps

ABSTRACT This study aimed to investigate tourists’ intentions regarding the adoption of AI-enhanced tour guide apps. Variables such as effort expectancy, performance expectancy, social influence, facilitating conditions, and hedonic motivation from the Unified Theory of Acceptance and Use of Technology (UTAUT2) model were utilised to assess the acceptance of AI-enhanced tour guide apps. The data was collected online from adults aged ‘18 and above’ in the United States, using a market panel company. A dataset of 525 participants was utilised for the research. SPSS was utilised for conducting frequency and factor analysis, while SmartPLS-4 was employed for carrying out structural equation testing. To ensure the validity and reliability of the research, exploratory factor analysis, correlation analysis, and discriminant validity analyses were initially performed. The study findings highlight that the acceptance of AI-enhanced tour guide apps among tourists, as framed within the UTAUT2 model, is significantly influenced by performance expectancy, facilitating conditions, and hedonic motivation. Gender and age did not moderate the relationship between effort expectancy, performance expectancy, social influence, facilitating conditions, hedonic motivation, and usage intentions to use AI-enhanced tour guide apps.

Acceptance of Educational Artificial Intelligence by Teachers and Its Relationship with Some Variables and Pedagogical Beliefs

This study explores teachers’ acceptance of artificial intelligence in education (AIEd) and its relationship with various variables and pedagogical beliefs. Conducted at the Universidad Técnica Particular de Loja (UTPL, Ecuador), the research surveyed 425 teachers across different disciplines and teaching modalities. The UTAUT2 model analyzed dimensions like performance expectations, effort expectations, social influence, facilitating conditions, hedonic motivation, usage behavior, and intention to use AIEd. Results showed a high level of acceptance among teachers, influenced by factors like age, gender, and teaching modality. Additionally, it was found that constructivist pedagogical beliefs correlated positively with AIEd adoption. These insights are valuable for understanding AIEd integration in educational settings.

Examining Chinese preservice mathematics teachers’ adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model

Examining Chinese preservice mathematics teachers’ adoption of AI chatbots for learning: Unpacking perspectives through the UTAUT2 model

Exploring drivers of behavioral willingness to use clean energy to reduce environmental emissions in rural China: An extension of the UTAUT2 model

In the context of the dual-carbon target, the adoption of clean energy in rural areas is an important basis for achieving effective carbon reduction in rural areas. On the basis of the Unified Theory of Technology Acceptance and Use (UTAUT2), this study uses structural equation modeling to investigate the influencing factors of rural clean energy adoption behavior. The results are as follows: (1) Both the expected effect of rural clean energy's adoption and adoption behavior are positively correlated with intention to adopt rural clean energy, whereas the rest are negatively correlated. The willingness to adopt clean energy has the greatest impact on clean energy adoption behavior in rural areas. (2) The expected effect of clean energy's adoption, subjective norms related to clean energy's adoption, facilitation of clean energy adoption support, and habits related to clean energy adoption have partial mediating effects on the impact of clean energy adoption intention. The reliability of clean energy's adoption has a full mediating effect on the impact of clean energy adoption intention. The perceived value of clean energy adoption has no significant mediating effect on the intention to adopt clean energy. (3) Age has a significant moderating effect on perceived value, related behaviors, and intention related to adopting clean energy; education level has no significant moderating effects on facilitation support or intention to adopt clean energy; and region has no significant moderating effects on facilitation support or adoption intention.

Research on Consumer Purchase Behavior of Gaotu Jiapin Based on UTAUT Model

Research on Consumer Purchase Behavior of Gaotu Jiapin Based on UTAUT Model

Unveiling End-users' Satisfaction and Actual Use of Blockchain in e-Health: Empirical Evidence from Bangladesh

Data safety and security have become threatening issues in the health industry. Against this backdrop, blockchain technology has opened up a new window for healthcare stakeholders. This research aims to enhance the understanding of the factors that influence user satisfaction and actual use behavior of blockchain technology in the electronic health sector in Bangladesh. A convenience sampling collected primary data (270 responses) from nurses, doctors, emergency staff, and laboratory technicians. AMOS and SPSS were used for analysis. The data were analyzed using descriptive statistics, assessing normality, common method bias, validity, reliability test and regression weight analysis. The findings of this study reveal that the task characteristics, performance expectancy, information quality, and service quality of blockchain are significantly related to end-user satisfaction. Performance expectancy had the greatest weighted influence on satisfaction. End-user satisfaction reflects strong usage behavior towards blockchain technology in Bangladesh. Surprisingly, system quality does not substantially affect user satisfaction derived from blockchain technology. This study analyzes the most critical predictors of satisfaction evoked by using blockchain, particularly relevant to the context of Least Developed Countries (LDCs), such as Bangladesh. To our knowledge, limited studies have yet examined user satisfaction and actual use behavior through the lens of IS success, Task Technology Fit (TTF), and UTAUT models in Bangladesh's e-health sector. This study is anticipated to provide an opportunity for additional investigation into the potential uses of blockchain in the medical field and other commercial sectors.

Integrated Significant Predictors Increasing the Overall Effectiveness and Usability of MOOC in Higher Education Institutions in Pakistan From Learners’ Perspectives: An Application of the UTAUT Model

Integrated Significant Predictors Increasing the Overall Effectiveness and Usability of MOOC in Higher Education Institutions in Pakistan From Learners’ Perspectives: An Application of the UTAUT Model

Journalist Perceptions and Views towards the Integration of AI-based Applications in the Journalism Industry in Pakistan: Expansion of the UTAUT Model

Journalist Perceptions and Views towards the Integration of AI-based Applications in the Journalism Industry in Pakistan: Expansion of the UTAUT Model

Health professionals’ acceptance of mobile-based clinical guideline application in a resource-limited setting: using a modified UTAUT model

IntroductionClinical guidelines are crucial for assisting health professionals to make correct clinical decisions. However, manual clinical guidelines are not accessible, and this increases the workload. So, a mobile-based clinical guideline application is needed to provide real-time information access. Hence, this study aimed to assess health professionals’ intention to accept mobile-based clinical guideline applications and verify the unified theory of acceptance and technology utilization model.MethodsInstitutional-based cross-sectional study design was used among 803 study participants. The sample size was determined based on structural equation model parameter estimation criteria with stratified random sampling. Amos version 23 software was used for analysis. Internal consistency of latent variable items, and convergent and divergent validity, were evaluated using composite reliability, AVE, and a cross-loading matrix. Model fitness of the data was assessed based on a set of criteria, and it was achieved. P-value < 0.05 was considered for assessing the formulated hypothesis.ResultsEffort expectancy and social influence had a significant effect on health professionals’ attitudes, with path coefficients of (β = 0.61, P-value < 0.01), and (β = 0.510, P-value < 0.01) respectively. Performance expectancy, facilitating condition, and attitude had significant effects on health professionals’ acceptance of mobile-based clinical guideline applications with path coefficients of (β = 0.37, P-value < 0.001), (β = 0.44, P-value < 0.001) and (β = 0.57, P-value < 0.05) respectively. Effort expectancy and social influence were mediated by attitude and had a significant partial relationship with health professionals’ acceptance of mobile-based clinical guideline application with standardized estimation coefficients of (β = 0.22, P-value = 0.027), and (β = 0.19, P-value = 0.031) respectively. All the latent variables accounted for 57% of health professionals’ attitudes, and latent variables with attitudes accounted for 63% of individuals’ acceptance of mobile-based clinical guideline applications.ConclusionsThe unified theory of acceptance and use of the technology model was a good model for assessing individuals’ acceptance of mobile-based clinical guidelines applications. So, enhancing health professionals’ attitudes, and computer literacy through training are needed. Mobile application development based on user requirements is critical for technology adoption, and people’s support is also important for health professionals to accept and use the application.

Investigating User-Centric Factors Influencing Smartwatch Adoption and User Experience in the Philippines

Smartwatches enable users to easily monitor their health, self-quantify, and track various activities. However, manufacturers and researchers in the field of smartwatches must explore and improve perceived usability to enhance the user experience of consumers and increase the device’s adoption rate. Therefore, this study investigates the factors influencing the adoption of smartwatches among Filipinos, focusing on usability and demographic influences. This is performed by utilizing the UTAUT2 model to examine key factors. External variables are explored, including perceived usability and privacy. To analyze the data acquired, partial least squares structural equation modeling (PLS-SEM) was conducted. The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, price value, habit, and behavioral intention significantly influence smartwatch adoption. Habit emerged as positively affecting intention to use and usage behavior. However, facilitating conditions were found not to be significant in influencing intention to use and usage behavior, and privacy was perceived as having an insignificant relationship with the intention to use smartwatches. These findings offer theoretical and practical implications for enhancing smartwatch design and usability, addressing the diverse needs of users, and expanding inclusivity in the market.

Research on Influencing Factors of Weibo Users' Intention to Use "Visitor Record" Function Based on UTAUT Model

The purpose of this paper is to explore the influencing factors of users' use of "visitor record" function from the two dimensions of technology itself and users' social media use psychology. Based on the integrated information technology acceptance and use Model (UTAUT), and based on the perspective of users' social media use, two factors of "self-disclosure degree" and "missing anxiety" were introduced, and the Weibo user group was taken as the research object through questionnaire survey method. Based on the 313 questionnaires obtained by screening, the analysis was conducted by hypothesis testing and multiple linear regression methods. The effects of integrated technology acceptance model factors and two newly introduced factors on user intention and behavior were explored. Performance expectancy, effort expectancy, social influence and facilitating factors have significant positive effects on users' intention to use the "visitor record" function of Weibo. The facilitating factors have a negative influence on the user's use behavior of the "visitor record" function of microblog. The introduction of new perspectives, including fear of missing out and degree of self-disclosure, provides new ideas for further understanding of social media user behavior and subsequent related research.

Determinants of Online Hotel Booking Adoption in Jordan: A Modified UTAUT2 Model with Trust and Risk Factors

Determinants of Online Hotel Booking Adoption in Jordan: A Modified UTAUT2 Model with Trust and Risk Factors

Influence of effort expectancy on consumers’ purchase intention within a B2C imported cross-border e-commerce market: The mediating role of consumer trust

This study is primarily aimed at examining the influence of effort expectancy on consumers’ purchase intention within a Business-to-Consumer (B2C) cross-border e-commerce (CBEC) consumption market in China. With the improvement of the living standards for the Chinese consumers, the B2C imported cross-border e-commerce platforms have become the choice of consumers for online shopping. On the basis of the seminal UTAUT Model, consumer trust is proposed as a potential mediator for the relationship between effort expectancy and purchase intention. By using a non-probability sampling technique, an online questionnaire survey distribution was employed with an overall return rate of 108 usable feedback. Data were analysed using the SmartPLS Version 4.0.9.9 statistical software. Results revealed a positive and significant influence of effort expectancy on consumers’ purchasing intentions. Furthermore, we found that consumer trust significantly mediates the relationship between effort expectancy and purchase intention. These findings could assist imported cross-border e-commerce platform enterprises towards enhancing the convenience of online shopping on these platforms and improving consumers' trust in online shopping activities. This study contributes to promoting the platform enterprises to improve the convenience of the whole process of platform operation and purchase, and is conductive to paying attention to the consumer trust to enhance the enterprise’s reputation, which will help develop customer stickiness and cultivate loyal customers.