Mobile Self-efficacy Research Articles

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.

Mediating role of digital skills and mobile self-efficacy in the stress and academic engagement of Peruvian university students in postpandemic virtual environments

BackgroundRemote education emerged as an option during the COVID-19 pandemic; however, this modality continues to be used by various universities around the world in the postpandemic context. The aim of this study was to determine the mediating role of digital skills and mobile self-efficacy in the influence of stress on the academic engagement of Peruvian university students during remote teaching by COVID-19 using structural equation modeling (SEM).MethodThis study involved 1,468 students from nine public and private universities in northern Peru who had undergraduate and graduate distance learning programs.ResultsThe results showed that stress negatively influenced academic engagement (β=-0.107*) and digital skills (β=-0.328***). In addition, digital skills (β = 0.470**) and mobile self-efficacy (β = 0.684***) positively influence academic engagement. Similarly, digital skills mediate the relationship between stress and academic engagement (β=-0.154**), and both variables act as sequential mediators in this relationship (β=-0.348***).ConclusionThis study provides a deeper understanding of the factors that influence academic engagement during Remote education and lays the groundwork for the development of interventions and training programs tailored to hybrid learning contexts that promote the well-being and academic success of college students in postpandemic times.

Understanding mobile augmented reality apps in Pakistan: an extended mobile technology acceptance model

PurposeAugmented reality (AR) adoption has boomed globally in recent years. The prospective of AR to seamlessly integrate digital information into the actual environment has proven to be a challenge for academics and industry, as they endeavor to understand and predict the influence on users' perceptions, adoption intentions and usage. This study investigates the factors affecting consumers’ behavioral intention to adopt AR technology in shopping malls by offering the mobile technology acceptance model (MTAM).Design/methodology/approachThis conceptual framework is based on mobile self-efficacy, rewards, social influence and enjoyment of existing MTAM constructs. A self-administered questionnaire, constructed by measuring questions modified from previous research, elicited 311 usable responses from mobile respondents who had recently used AR technology in shopping malls. This analysis was performed using SmartPLS3.0.FindingsGrounded on the findings of the study, it was found that, aside from factors such as mobile usefulness, ease of use and social influence, the remaining independent variables had the most significant impact on adopting AR technologies. Considering the limitations of this study, the paper concludes by discussing the significant implications and insinuating avenues for future research.Originality/valueTo better investigate mobile AR app adoption in Pakistan’s shopping malls, the researchers modified the newly proposed MTAM model by incorporating mobile self-efficacy theory, social influence, rewards and perceived enjoyment. However, the extended model has not been extensively studied in previous research. This study is the first to examine the variables that affect an individual’s intention to accept mobile AR apps by using a novel extended MTAM.

Citizen Satisfaction through the Development of a Sustainable Mobile Government Service Model — A Blended Approach through M-S-QUAL and EGAM Theories

This research examines the relationship between sustainable m-Gov services and citizen satisfaction with m-Gov services. A multidimensional conceptualisation of sustainable m-Gov services is defined to examine citizen satisfaction. The research model was tested using empirical data collected from 687 m-Gov service users through PLS-SEM. The results showed that service availability, contact, responsiveness, efficiency, and privacy significantly influenced m-Gov service quality. Mobile self-efficacy, perceived trust, and perceived functional benefit are critical for m-Gov adoption. However, perceived compatibility and perceived ability-to-use did not explain the m-Gov adoption. The findings of m-Gov service quality and m-Gov adoption interactions supported their role in predicting sustainable m-Gov services, thereby increasing citizen satisfaction. The outcome of this study is vital for government strategies, public administration, policymakers, and government service delivery literature and provides citizen-centric m-Gov services. Thus, the government and citizens adopting m-Gov services can benefit from the tested model towards increasing the sustainable offering of m-Gov services.

Adoption of M-Commerce Amongst Pakistani Consumers: By Using TAM with Effect of Social Influence and Mobile Self-Efficacy

M-commerce, or mobile commerce, has gained popularity due to its expanded possibilities over Electronic commerce, which has been growing at a far faster pace because to the Covid-19 outbreak in Pakistan. The utilization of wireless technologies has increased in the M-commerce sector. There are more mobile phone users than personal computer users. In spite of Pakistan's apparent interest in M-commerce as a means of trade, nothing is known about the country's citizens' desire to utilize this new wireless electronic platform. Thus, customers' behavioral intention to use m-commerce has been investigated using an improved technology acceptance model (TAM) that takes into account the consequences of social influence and mobile self-efficacy. The sample size for this study was 220 people from Lahore, Karachi, Islamabad, and Multan, which is a statistically significant number. A variety of statistical techniques, including factor and reliability analysis as well as correlation and regression, were used to examine the data by using SPSS version 19. Customers' attitudes toward adopting M-commerce are positively influenced by their perceptions of its utility, ease of use, social influence, and personal efficacy on their mobile devices, according to this study, which also found a link between these factors and their behavioral intent to use M-commerce.

An empirical investigation on actual usage of educational app: Based on quality dimensions and mobile self-efficacy

The intention of this research is to analyze the actual use of educational app by Chinese students for learning purpose. Based on DeLone & McLean (D&M) this study proposes and tests a research model which analyzes the actual use of educational apps using data collected from the 357 Chinese students. Structural equation modeling (SEM) was applied to examine the hypothesis. Findings specify that information quality, system quality, service quality, mobile self-efficacy, and personal innovativeness is considerably associated to intentions to use educational app which eventually influences actual usage of educational apps. Additionally, trust in educational apps strengthens the connection between intentions to use educational apps and actual use of educational apps by students for learning purposes. However, the perceived risk indicated an insignificant association between intention to use educational apps and actual use of educational apps. This study contributes to DeLone & McLean (D&M) model by examing the moderating role of perceived risk, trust in an educational app.

The mobile augmented reality acceptance model for teachers and future teachers

This study examines the factors that affect pre-service and in-service teachers’ intention to use Mobile Augmented Reality (MAR) in their teaching through the proposed Mobile Augmented Reality Acceptance Model (MARAM). The MARAM builds on the existing Technology Acceptance Model (TAM) to incorporate four other components namely perceived relative advantage, perceived enjoyment, facilitating conditions, and mobile self-efficacy. In addition, this study investigates the validity of the MARAM. Data were collected from 137 pre-service and 169 in-service teachers who completed a questionnaire after having developed their own MAR applications during an undergraduate university course and a training seminar, respectively. Structural Equation Model (SEM) analysis was conducted separately for each group, as well as for both samples together. We also conducted a multi-group analysis to examine differences across the two samples. The results for both samples together (N = 306), showed that intention was affected by attitude, perceived usefulness and facilitating conditions. In turn, attitude was affected by perceived enjoyment and perceived usefulness. Perceived usefulness was affected by perceived enjoyment and perceived relative advantage. Perceived ease of use was affected by mobile self-efficacy and facilitating conditions. However, perceived ease of use did not affect perceived usefulness or attitude. A multi-group analysis conducted on the sample of pre-service and in-service teachers produced similar results, with minor differentiations. These results have implications for the use of MAR in research and schools, as well as technology acceptance models in education.

Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training

This study aimed to investigate the factors influencing the acceptance of mobile learning technology for 21st-century skills-based training among teachers in Saudi Arabia and Pakistan. This study adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) model, which included constructs such as performance expectancy, effort expectancy, facilitating conditions, social influence, mobile self-efficacy, student self-efficacy, behavioural intention, 21st-century skills-based training, and creative thinking skills. A survey was conducted with 619 teachers from Saudi Arabia and Pakistan who participated in a two-week mobile learning-based training session. The data were analysed using structural equation modeling (SEM). The results show that all hypotheses were supported, indicating a positive relationship between the constructs and the acceptance and use of mobile learning technology for 21st-century skills-based training. This study’s findings suggest that by emphasising factors such as performance expectancy, effort expectancy, facilitating conditions, social influence, mobile self-efficacy, and student self-efficacy when designing mobile learning interventions, teachers will be more likely to accept and use mobile learning technology for 21st-century skills-based training and contributed to sustainability by providing increased access to quality education.

Impact of personal innovativeness, perceived smartphone ease of use and mobile self-efficacy on smartphone-based personal information management practices

PurposeAlthough, smartphones have facilitated users to keep their personal information, nonetheless, less has been investigated about factors affecting personal information management (PIM) practices. Therefore, this study aims to investigate how personal innovativeness, perceived ease of use (PEOU) and mobile self-efficacy affect PIM (e.g. finding/re-finding, keeping, organizing and maintaining) practices.Design/methodology/approachQuantitative research design was used in this study. The authors collected data from 222 students of information management from public sector universities using a questionnaire. PLS modeling technique was used to analyze data.FindingsThe authors noted that personal innovativeness significantly impacts finding/refinding information, whereas it insignificantly affects keeping, organizing and maintaining information practices. In addition, smartphone PEOU significantly influences information finding and refinding, information keeping and organizing information, whereas insignificantly influences information maintaining. Moreover, mobile self-efficacy was noted to be significantly associated with finding and refinding information, information keeping, information organizing and information maintaining.Originality/valueThis research is an important contribution to the body of existing literature, as it proposed an integrated model based on constructs extracted from Technology Acceptance Model (TAM), Social Cognitive Theory, personal innovativeness and PIM. This study also has practical significance because the findings of this study would be helpful for smartphone application developers and LIS school directors to design programs for information literacy.

Factors determining behavioural intention of nursing students to use mobile learning: an application and extension of the UTAUT model

Mobile learning (m-learning) promotes not only the quality of learning process but also learning performance. Therefore, this study proposed a theoretical framework model to predict the factors affecting behavioural intentions of nursing students to use m-learning. We evaluated the unified theory of acceptance and use of technology (UTAUT) model and extended it to include attitude, mobile self-efficacy, and motivation, with mobile literacy as the moderating factor. For this purpose, the structural equation model was used to analyse data from an online survey of 792 nursing students from six universities in Taiwan. The results confirm that: 1) attitude was an important determinant of the behavioural intention of nursing students to use m-learning; 2) amongst the four major constructs of UTAUT, performance expectancy had the most significant impact on behavioural intention; 3) M-SE and motivation were important external factors of PE and effort expectancy; 4) mobile literacy had a significant moderating effect on the relationship among PE, facilitating conditions, and behavioural intention. The results of this study provide support for an extended UTAUT model and significant practical recommendations for researchers, nursing students, and coherent education units, in order to improve the feasibility of m-learning.

Understanding mobile e-wallet consumers’ intentions and user behavior

PurposeThis study aims to investigate the factors that influence behavioral intention (BI) and usage of e-wallets by extending the unified theory of acceptance and use of technology (UTAUT) with constructs, namely, mobile self-efficacy, perceived enjoyment and satisfaction.Design/methodology/approachThis quantitative study used partial least squares structural equation modeling on a sample of 576 mobile e-wallet users surveyed online.FindingsThe key findings indicate that the model can explain 58.8% of the variance in behavioral intention and 53.8% in usage. Moreover, mobile self-efficacy has a significant influence on perceived enjoyment. Perceived enjoyment significantly affects satisfaction, effort expectancy and performance expectancy. Furthermore, effort expectancy significantly influences customer satisfaction in contrast to performance expectancy. In addition, although performance expectancy, social influence and satisfaction significantly impact consumers’ behavioral intention, effort expectancy and facilitating conditions condition have an insignificant influence on consumers’ behavioral intention. E-wallet stakeholders can use the findings of this study to make strategic decisions regarding the e-wallet ecosystem.Originality/valueAlthough previous studies have independently addressed the impact of mobile self-efficacy, perceived enjoyment and satisfaction on consumers’ behavioral intention and usage behavior, the expanded framework with the possible relationships proposed in this study has never been adequately studied in previous research in the context of e-wallets in developing countries based on an empirical analysis. This study represents one of the first attempts to improve the UTAUT by empirically analyzing these relationships.

Mobile self-efficacy as predictor of mobile-based personal digital archiving practices: a study of Pakistani undergraduates

Purpose The purpose of this study is to investigate the impact of mobile self-efficacy on personal digital archiving (PDA) practices of undergraduate students. Design/methodology/approach This study used a quantitative research design for achieving the objectives. The population consisted of undergraduate students from public sector universities (the top five) of Punjab, Pakistan, listed in the Higher Education Commission recognized general universities. The data were analysed by using SmartPLS, mobile self-efficacy was the independent variable that consisted of two constructs (basic mobile phone operations and using the internet and emails). PDA practices was the dependent variable (information backup, clearing and deleting). Findings The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modelling analysis. A significant impact of mobile self-efficacy (basic mobile phone operations, using internet and email) was found on all the sub-constructs (information backup, information clearing and information deleting) of PDA practices. However, using internet and email has no significant impact on the information clearing practices of undergraduate students of Pakistani universities. Originality/value This study is a valuable addition to the extant literature because no comprehensive research has been carried out on the impact of mobile self-efficacy and PDA through mobile phones. It also contributes theoretically in the form of the development of a validated instrument on mobile-based PDA. Additionally, it possesses practical value for information literacy instruction programs.

READINESS FOR MOBILE LEARNING AMONG CHINESE AS A SECOND LANGUAGE LEARNERS IN A PRIVATE UNIVERSITY COLLEGE IN MALAYSIA

Although learning Chinese as a second language (CSL) is becoming increasingly important due to the rapid development of China's comprehensive national power, CSL learning abroad faces great challenges. This study proposes to use mobile learning (m-learning), especially mobile assisted language learning (MALL), to facilitate CSL learning. This research aimed to investigate learners' readiness to engage in m-learning, their levels of mobile perception, mobile motivation, and mobile self-efficacy, as well as the correlations between these constructs. Respondents were selected using the purposive sampling method from a private university college in Melaka, Malaysia. The total number of valid cases was 95. The three instruments which were adopted to collect data in this study were examined the reliability and validity with pilot study. Descriptive analysis revealed that respondents had moderate levels of mobile perception, mobile motivation, and mobile self-efficacy. Bivariate correlation analysis revealed that all three constructs were highly correlated. Perceived usefulness (PU) ranked comparatively first, followed by perceived ease to use (PEOU) and perceived difficulty (PD). Respondents who perceived difficulty found mobile apps less useful. Respondents who perceived ease to use and usefulness were more motivated than respondents who perceived difficulty. Respondents who perceived difficulty preferred more outside help rather than relying on themselves. Respondents with moderate self-efficacy (MSE) were more motivated than respondents with high self-efficacy (HSE). In general, respondents in the higher education system have their own mobile device and are ready for m-learning. Therefore, policy makers and teachers should consider integrating m-learning and MALL into the classroom to improve formal teaching.

The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy.

This study explored the moderating impact of mobile self-efficacy on the adoption of mobile health services. The UTAUT was used as the theoretical foundation for this study. The results have indicated that mobile self-efficacy was significant in moderating the impact of both performance expectancy (β = −0.005, p < 0.05) and effort expectancy (β = −010, p < 0.05) on the adoption of mobile health services. In addition, it was revealed to our surprise that both performance (β = 0.521, t = 9.311, p > 0.05) and effort expectancy (β = 0.406, t = 7.577, p > 0.05) do not determine the behavioral intention to use mobile health services. Effort expectancy and behavioral intention to use were also, respectively, not significant in influencing performance expectancy (β = 0.702, t = 12.601, p > 0.05) and intention to recommend the adoption of mobile health services (β = 0.866, t = 13.814, p > 0.05). Mobile self-efficacy, however, was found to significantly predict the citizen's intention to recommend the adoption of mobile health services (β = 0.139, t = 2.548, p < 0.05). The implications of these findings on mobile health are discussed.

Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services.

Mobile health (m-health) application development and diffusion in developing countries have always been a challenge; therefore, research that seeks to provide an elucidation of the drivers of m-Health adoption is vital. Mobile health information systems and applications can contribute to the delivery of a good healthcare system. This study examined the factors influencing citizens' adoption of mobile health services. The Technology Acceptance Model (TAM) was used as the research underpinning for this study, while the data gathered were analyzed with SmartPLS through the use of the structural equation modeling technique. The results showed that perceived usefulness and ease of use were both significant predictors of the behavioral intention to use and recommend the adoption of mobile health services. Also, perceived risk was negative but significant in predicting the intention to use and recommend adoption. Mobile self-efficacy was found to significantly determine the behavioral intention to use, intention to recommend, perceived usefulness, and perceived ease of use of mobile health services. Besides, word-of-mouth showed a positive impact on both the intention to use and recommend. Contrary to expectations, the intention to use had no significant impact on the recommendation intention. The theoretical and practical implications of these findings are thoroughly examined.

Influencing Factors of Mobile Autonomous Learning and Mobile Self-Efficacy Among Law Atudents in Xi’an

Although abundant literature can be found on autonomous learning, there is limited literature available for law major &#x0D; undergraduates’ autonomous learning in Chinese context. The main purpose of this study is to examine factors influencing university law undergraduates’ autonomous learning in mobile learning environment in Xi’an, China, taking into consideration of mobile &#x0D; self-efficacy. The data collected from the survey is put into SPSS 23.0, which is used to calculate descriptive as well as inferential &#x0D; statistical measures. The results denote that the four independent variables, namely Motivation, Learning Strategy, Goal Orientation, Teacher Support all have positive impacts of Autonomous Learning. The mediating test of Mobile Self-efficacy proves that &#x0D; Mobile Self-efficacy acts as a mediator in the relationships between Learning Strategy and Autonomous Learning, Goal Orientation and Autonomous Learning, Teacher Support and Autonomous Learning.

The Investigation of Adoption of Voice-User Interface (VUI) in Smart Home Systems among Chinese Older Adults.

Driven by advanced voice interaction technology, the voice-user interface (VUI) has gained popularity in recent years. VUI has been integrated into various devices in the context of the smart home system. In comparison with traditional interaction methods, VUI provides multiple benefits. VUI allows for hands-free and eyes-free interaction. It also enables users to perform multiple tasks while interacting. Moreover, as VUI is highly similar to a natural conversation in daily lives, it is intuitive to learn. The advantages provided by VUI are particularly beneficial to older adults, who suffer from decreases in physical and cognitive abilities, which hinder their interaction with electronic devices through traditional methods. However, the factors that influence older adults’ adoption of VUI remain unknown. This study addresses this research gap by proposing a conceptual model. On the basis of the technology adoption model (TAM) and the senior technology adoption model (STAM), this study considers the characteristic of VUI and the characteristic of older adults through incorporating the construct of trust and aging-related characteristics (i.e., perceived physical conditions, mobile self-efficacy, technology anxiety, self-actualization). A survey was designed and conducted. A total of 420 Chinese older adults participated in this survey, and they were current or potential users of VUI. Through structural equation modeling, data were analyzed. Results showed a good fit with the proposed conceptual model. Path analysis revealed that three factors determine Chinese older adults’ adoption of VUI: perceived usefulness, perceived ease of use, and trust. Aging-related characteristics also influence older adults’ adoption of VUI, but they are mediated by perceived usefulness, perceived ease of use, and trust. Specifically, mobile self-efficacy is demonstrated to positively influence trust and perceived ease of use but negatively influence perceived usefulness. Self-actualization exhibits positive influences on perceived usefulness and perceived ease of use. Technology anxiety only exerts influence on perceived ease of use in a marginal way. No significant influences of perceived physical conditions were found. This study extends the TAM and STAM by incorporating additional variables to explain Chinese older adults’ adoption of VUI. These results also provide valuable implications for developing suitable VUI for older adults as well as planning actionable communication strategies for promoting VUI among Chinese older adults.

COVID-19 smart surveillance: Examination of Knowledge of Apps and mobile thermometer detectors (MTDs) in a high-risk society.

Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring. In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making. The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze. The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.

THE EXTENDED UTAUT MODEL AND LEARNING MANAGEMENT SYSTEM DURING COVID-19: EVIDENCE FROM PLS-SEM AND CONDITIONAL PROCESS MODELING

The undertaken research investigates the extended unified theory of acceptance and use of technology (UTAUT) model from the perspective of online education in the deadliest period of COVID-19. This research investigates the extended dimensions, for instance, mobile self-efficacy and perceived enjoyment besides traditional elements of the UTAUT model with the relationship of behavioural intention and user behaviour of LMS. Since the COVID-19 led to social isolation (SIS), thus, this study has incorporated SIS as mediating factor and fear of COVID-19 (FOC) as the moderating factor for the considered extended model of UTAUT. The data of 1875 respondents was collected from five different Asian countries. For the data analysis, this study employed structural equation modeling through PLS-SEM and condition process modeling. This research demonstrates that the extended dimensions such as mobile self-efficacy, besides the traditional elements of the UTAUT model, exerted a cogent impact on behavioural intention except for the perceived enjoyment. Similarly, the behavioural intention demonstrated a substantial effect on the user behaviour of LMS. Additionally, social isolation as a mediating factor and FOC has a significant effect between dimensions of extended UTAUT model and behavioural intention of LMS. The outcomes of this research demonstrate significant theoretical and practical implications during the COVID-19 pandemic.

Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model

This study developed and empirically tested a model to predict the factors affecting patients’ behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model with the addition of mobile self-efficacy (M-SE), use motivation, and mobile literacy as moderators. For this purpose, variance-based structural equation modeling was used to analyze data collected from a sample of 1,649 patients at a hospital in Taoyuan, Taiwan. Partial least squares regression was used for model and hypothesis testing. The results revealed that (1) performance expectancy, effort expectancy, social influence, facilitating conditions, and habit were key predictors of the behavioral intentions of patients to use a mobile health education website; (2) M-SE had positive associations with effort expectancy; (3) use motivation was a significant determinant of both performance expectancy and effort expectancy; and (4) mobile literacy had a significantly negative moderating effect on the relationship between performance expectancy and behavioral intention. Our findings serve as a reference for the promotion of mobile health education in hospitals.