The current study aims to determine the factors influencing the intention to employ digital libraries among postgraduate students in Jordanian universities. The data were gathered through questionnaires in the format of Google Forms. The questionnaires were distributed to postgraduate students enrolled in Jordanian universities with digital libraries, who were recruited via purposive sampling. A total of 261 responses were received, with 67 deemed unsuitable for the study analysis and subsequently excluded. Resultantly, 194 valid questionnaires were finalized for data analysis. The SMART-partial least squares (PLS) software was utilized to conduct structural equation modelling (SEM) to test the study hypotheses. This study discovered that the variables, namely performance expectancy, effort, and facilitating conditions expectancy, were significantly and positively associated with the outcome variable, which is the intention to employ digital libraries. Meanwhile, social influence was revealed to be insignificant. Performance expectancy also significantly mediated the correlations between technological readiness and the intention to utilize and between online self-efficacy and the intention to utilize. The present study focused only on potential users among postgraduate students at Jordanian universities with digital libraries. The findings contributed valuable insights into the academic sector, especially library management to enhance the rate of digital library or e-library adoption at Jordanian universities. Digital library managers and policymakers could leverage the findings to design pertinent strategies that increase user engagement within digital library environments. The UTAUT model was demonstrated to be capable of predicting users’ intentions of employing digital libraries and corroborated the mediation role of performance expectancy on the associations between technological readiness and the intention to utilize and between online self-efficacy and the intention to use.

The paper examines factors influencing online purchase intention of Vietnamese. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study develops a theoretical model including four explanatory variables of online purchase intention: performance expectancy (PE), social influence (SI), effort expectancy (EE) and facilitating condi-tions (FC). The empirical results obtained in a sample of 204 valid interviewees reveal the statistically significant and concurrent impact of the mentioned determinants on the intention to purchase online. Among them, performance expectancy (PE) and social influence (SI) exert the most significant influence. The findings provide guidance for online firms to improve their conditions and develop marketing strategies in order to highlight efficiency, ease of use, and convenience; become a trend of social communities and then encourage the online purchase.

This study investigates the determinants of online learning application effectiveness in Vietnam using a structural equation modeling (SEM) approach. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) and extended with psychological constructs, the proposed model integrates performance expectancy, effort expectancy, social influence, facilitating conditions, learning habits, intrinsic motivation, technostress, and feeling of isolation. Data were collected from 501 online learners and analyzed using SPSS and AMOS. The results reveal that performance expectancy, effort expectancy, learning habits, intrinsic motivation, and technostress significantly influence behavioral intention, while social influence and facilitating conditions are not significant. Behavioral intention strongly predicts actual usage behavior. Notably, technostress emerges as the most influential factor, suggesting that technological pressure may act as both a barrier and a driver of engagement depending on user adaptation. The study contributes to the literature by integrating enabling and inhibiting factors into a unified framework and offers practical implications for improving online learning systems in developing countries.

This study investigates auditors' willingness to adopt AI-based audit tools using the AI Device Use Acceptance (AIDUA) model, focusing on the factors influencing acceptance and the moderating role of technology readiness. Data were collected from 153 certified external auditors in Jordan, representing a 30% response rate. The findings reveal that social influence and hedonic motivation positively impact performance expectancy, while anthropomorphism influences effort expectancy. Emotions significantly affect auditors' willingness to adopt AI-based audits, moderated by their technology readiness. This study contributes to the literature by utilizing the AIDUA framework to understand AI acceptance in auditing, offering insights into the unique aspects of AI technologies. The results highlight the importance of understanding auditors' perceptions and readiness, providing valuable implications for practitioners and policymakers to develop strategies for effective AI integration in auditing. Future research should explore these dynamics in diverse cultural contexts and over extended periods to enhance the generalizability of the findings.

The field of online pharmacies is expanding rapidly and has become a crucial component in delivering pharmaceutical services across Saudi Arabia. This study aims to explore the factors influencing the adoption of online pharmacies by the Saudi population, utilizing an enhanced version of the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. This study employed a cross-sectional design, utilizing an online questionnaire that was pre-validated and shared via social media channels between August 2024 and October 2024. The study focused on Arabic-speaking individuals aged >18 years. The gathered data were examined through structural equation modeling (SEM) using AMOS software (v.22.0). The study found that the UTAUT model demonstrates strong applicability in explaining the adoption of online pharmacies, accounting for 62.4% (R² = 0.624) of the variance in behavioral intention. Among the key factors, effort expectancy (p < 0.001) emerges as the most influential predictor of behavioral intention, followed by facilitating conditions (p 0.05) do not have a statistically significant impact on behavioral intention. The study results would help formulate more effective strategies for establishing online pharmacy operations in developing nations like Saudi Arabia. This study contributes to enhancing the traditional UTAUT model through the integration of additional factors such as health literacy, personal innovativeness, perceived risk, and perceived trust. These variables introduce new dimensions to the existing literature on online pharmacies.

Several studies have made known that internet banking (IB) implementation is not only advanta-geous for banks, but also by perception and experience of IB users. Therefore, little is known about factors propelling user’s intention to adopt internet banking in Pakistan. Thus, the purpose of this research is to investigate the role of unified theory of acceptance and use of technology (UTAUT) in internet banking adoption context. A quantitative approach based survey was conducted to col-lect the data from 398 internet banking users. For statistical analysis structural equation model (SEM) approach was used. The result of this study indicates that, UTAUT model provided a good theoretical foundation in technology adoption investigation. Findings confirmed that all four predic-tors (performance expectancy, effort expectancy, social influence and facilitating condition) were significant and had significant amount of variance in predicting user’s intention to adopt internet banking. Additionally, the IPMA test revealed that performance expectancy was the most important factor among all other variables to predict user’s intention towards adoption of internet banking. Lastly, managerial implications, limitations and future recommendations are discussed.

In the dynamic realm of facility management in the UAE, this study investigates the uptake of digital facility management systems among managers operating locally. The study aims to uncover the influential factors affecting technology acceptance within this sector. Its primary objective is to identify and understand the determinants that impact the adoption of these systems, utilizing a structured framework to analyze influential factors and their implications. The initial phase involves a systematic review to reveal trends in integrating digital technologies, focusing specifically on digital twin technology. Subsequently, quantitative surveys are conducted with 407 facility managers, guided by the UTAUT framework, employing statistical analyses to pinpoint key factors. Notably, Effort Expectancy and Performance Expectancy emerge as significant influencers, particularly influenced by the managerial level. This study provides detailed insights into the nuanced factors that drive acceptance, emphasizing the crucial role of constructs like Performance Expectancy and Effort Expectancy moderated by managerial level, shaping Behavioral Intention and Use Behavior. These findings offer practical implications for devising strategies to encourage the adoption of Digital Facility Management Systems in the UAE, laying the groundwork for future research and industry advancements.

The financial world has grown significantly in the last five years, where insurance companies, finance companies, lending and borrowing between page users will increasingly grow along with technological developments. This should be an important concern for auditors because of the increasing number of transactions in digital and cyberspace, the audit methods or procedures must keep abreast of the times. This study hypothesizes the function of technology can help the performance of the auditor. Data collection is done by distributing questionnaires to auditors who work at the Public Accounting Firm (KAP). The analysis technique used is multiple linear regression. The results of the study will be presented after the data collection process is complete.

The Internet of Things (IoT) is an innovative technology that has the potential to help public hospitals better meet the demands of hospitalization. However, only a small portion of the research looked at patients' behavioural intentions (BI) to utilise IoT healthcare devices (IoTHD). This study intends to investigate the variables that influence the BI's use of IoTHD. The research suggests that the BI may be explained by factors of UTATU. The patients of public hospitals make up the population. A questionnaire was used to obtain the data using convenience sampling. Participants in this research totalled 161. Smart Partial Least Square results demonstrated that social influence (SI) has an impact on performance expectancy (PE). Technological complexity (TC) and playfulness (PP) had an impact on effort expectancy (EE). Additionally, the BI to adopt IoTHD was impacted by PE, EE, perceived security (PS), and perceived privacy (PV). The impact of PE and EE on BI to use IoTHD was not moderated by the facilitating conditions (FC). In order to improve patients' perceptions of IoTHD usage in public health organisations, simple process and more positive word of mouth is required.

Secure, convenient, and affordable payment instruments are one factor that drives up the development of the national economy. Having a good and stable national economic condition is the intention of every country. The usage of electronic payment instruments is proven to boost economic growth and advance financial inclusion. However, the usage of e-payment among generation Z in Indonesia is still relatively low. Of these, this study is written to analyze the factors influencing electronic payment used to be taken as a concern on evaluating the current level of the cashless society. The model to assess the influencing factors is adopted from UTAUT variables: performance expectancy, effort expectancy, and social influence, combined with two external variables: culture and perceived security. The questionnaire is distributed to 458 respondents, covering generation Z in Bandung City. A quantitative approach was used to assess the questionnaire result, examining the relationship between each factor and electronic payment usage. The results indicate three factors that significantly influence electronic payment usage among generation Z in Bandung City: performance expectancy, social influence, and culture.