Modern governments nowadays have started to use information technology and information system as a tool for offering more suitable and influential services to citizens. Yet, if e-government services are not accepted and welcomed, such goals would not be materialized. This study tries to assess the effectiveness of factors influencing the acceptance of e-government through the Unified Theory of Acceptance and Use of Technology (UTAUT). The statistical population of this research is the students of Ferdowsi University of Mashhad and the sample volume is composed of 315 persons. A questionnaire was administered among them to collect the needed data. SPSS software and statistical methods such as multiple regression and logistic regression were employed to analyze the data. The findings asserted the effectiveness of three variables, namely performance expectancy, effort expectancy and peer influence on the students'' behavioral intentions. The findings also indicated that the variables of facilitating conditions and behavioral intention were significantly effective on the users’ using behavior. However, the moderating variables were not considerably effective in this research.

Healthcare service institutions (HSIs) have sought ways to motivate patient loyalty in response to surging rates of medical tourism. Previous research indicates that Hospital Information System (HIS) is essential for HSIs to gather, measure, and analyze the massive amounts of data required to generate patient loyalty. There is currently no consensus on the factors that comprise HIS specifically geared towards motivating patient loyalty (HISPL). Furthermore, HIS requires full adoption by HSI staff to be effective. Thus, to reduce wastage of HSI resources, it is necessary to predict whether a given HIS specifically geared towards motivating patient loyalty is likely to be adopted. The purpose of this study is to reveal the factors that comprise HISPL and to modify the Unified Theory of Acceptance and Use of Technology (UTAUT) model to help predict the likelihood of an HISPL to be fully adopted by HSI staff. The results revealed that pertinent HISPL factors are capability, configurability, ease of use/help desk availability and competence (EU), and accessibility/shareability (AS). Using these factors, the UTAUT model was modified to fit the specific needs of HISPL. The modifications are theoretical and will have to be validated in future empirical studies.

This study investigates the factors influencing the adoption and effective use of digital technologies in the poultry industry in Togo’s Kara region. Using the UTAUT framework and a logit model, the study aimed to assess how perceptions of usefulness, ease of use, and managerial characteristics affect technology uptake. A purposive sample of 80 participants involved in breeding, retailing, slaughtering, feed supply, and poultry sales was surveyed. Data analysis was conducted using Smart PLS 4 for structural equation modeling and STATA 17 for logistic regression. Results show strong indicator reliability (outer loadings > 0. 7), robust composite reliability (0. 865–0. 992), and acceptable convergent validity (AVE values > 0. 5). Key findings reveal that performance expectancy and effort expectancy significantly influence behavioral intention and actual usage, emphasizing the importance of perceived productivity benefits and ease of use. In contrast, facilitating conditions, digital flexibility, and social influence were not significant. The sociodemographic analysis indicates that younger and male managers are more likely to adopt digital technologies, while marital status and cooperative membership showed no significant effects. These insights provide practical benefits by informing policy recommendations aimed at improving digital infrastructure, enhancing training programs, and designing targeted interventions that encourage broader digital adoption in Togo’s poultry sector.

Acceptance of information technology is very important for technology success in a community. Connected Vehicle Technology (CVT) is one of the new information technologies in Iran. forecasting the acceptance of this technology is very important for policy makers and investors. Thus, this paper based on UTAUT model of acceptance and a survey about taxi drivers tries to evaluate acceptance of Connected Vehicle Technology (CVT). for data analysing, using SPSS software, "t" test and ANOVA were used. briefly Results show that ragarding UTAUT model, performance expectancy and social influence are good but effect expectancy and facilitating conditions are not very good.

In recent years, augmented reality technology has gained attention as an innovative technology in various fields, including education. This technology can help improve learning and teaching, reduce costs, and increase students' motivation to learn. The current research aims to develop an optimal model by combining the Technology Readiness Index 2. 0 (TRI 2. 0) and the unified theory of acceptance and use of technology (UTAUT) models to investigate the acceptance of augmented reality technology in sports science education. This research is applied-descriptive. The statistical population of this study included all physical education teachers in Kashan City during the academic year 2022-2023. A non-probability sampling method was used. The research model was examined through an online questionnaire, and data analysis as well as hypothesis testing were conducted using structural equation modeling. The results of the present study demonstrate that the combined model of TRI 2. 0 and UTAUT accurately predicts the adoption of augmented reality technology in sports science education. In this model, optimism and innovation were identified as motivating and attractive factors driving user engagement with augmented reality technology. Additionally, expected performance, expected effort, and facilitating conditions were identified as factors that facilitate the adoption of augmented reality technology in sports science education. The results of this research demonstrate that increasing the acceptance of augmented reality technology in sports science education requires attention to the psychological and social factors influencing technology acceptance. Specifically, efforts should be made to foster user optimism towards augmented reality technology and perceive it as an innovative and engaging technology. Furthermore, providing convenient and conducive conditions for users to easily utilize augmented reality technology should be prioritized.

The main purpose of this study was to investigate effective factors on adopting technologies among trout fish farmers in Guilan province by Unified Theory of Acceptance and Use of Technology (UTAUT). Statistical population of this research contained of all managers of trout fish farms of Guilan province (N=170) that base on limitation of structural equation modeling in determining sample size, 97 of them were chosen as asample. Study tool was contained Vankatesh and et al. information technology questionnaire in six items. Toobtain validity of questionnaire; content, face, convergent and discriminant validity were used. As well, toobtain reliability of questionnaire; principal component analysis, Cronbachs alpha, Dillon-Goldstein’s ʃ andreagent stability were used. To accomplish analysis of data, SPSSV19 and Smart PLSV2 software were used indescriptive and inferential statistics. For testing hypothesis, structural equation model (SEM) and partial leastsquares (PLS) that focus on reagent variance were used. The results showed that there was significant relationship between performance expectancy and behavioral intention. Also there was significant relationship between intention to use and use behavior of aquaculture technologies. Model explains 28.8 percent of behavioral intention variance and 7.9 percent of use behavior of aquaculture technologies variance among trout fish farmers. To increase willingness to accept the technology among trout fish farms in Guilan province, it is suggested that extension-education courses for raising knowledge and awareness ofaquaculture technology to be held by organizations. Providing financial resources and adequate knowledge will enable trout fish farms to equip with the aquaculture technologies.

The performance of SMEs will keep the wheel of the country’s economy turning. Upgrading the technologies currently used in SMEs will make the manufacturing process of food and beverage (F&B) industries more efficient. These firms are still using traditional equipment and machinery in their F&B manufacturing process; however, it is required to adopt the next level of technologies for maximum productivity, which they cannot afford. Thus, the study focuses on the intention to adopt upgraded technologies in F&B SMEs in developing countries. A total of 230 F&B SME owners and top management were surveyed in Bangladesh. The collected data were analyzed using PLS-SEM with SmartPLS software. The results showed that disaster preparedness and business continuity had significant effects on the intention to adopt; similarly, performance expectancy, effort expectancy, and social influence were also significant in the intention to adopt the next level of IR technologies. The moderating role of government support and policy had mixed effects on intention. The study is significant because disaster preparedness and business continuity plans are utilized in technology adoption and intention scenarios. To investigate this intention, the study adopted two perspectives: the influence and role of disasters and hazards on SMEs through disaster preparedness and business continuity plans, and secondly, the Unified Theory of Acceptance and Use of Technology (UTAUT) for measuring the intention. The study contributed to these two theories in a new context with constructs. The study will also contribute to policymakers in developing constructive policies and providing effective financial and non-financial support for F&B manufacturing SMEs.