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.

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 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.