Unified Theory Of Acceptance And Use Of Technology Research Articles

Development and Implementation of the “Keluarga Carade” App: Optimising Information Technology-Based Stunting Surveys to Support Public Health Efforts

Stunting represents a persistent malnutrition issue that impedes children's physical and cognitive development, with potentially lasting impacts throughout their lives. This study aims to develop and implement the Keluarga Carade app, a real-time information technology-based stunting survey system intended to assist surveyors in collecting public health data in Jeneponto Regency. The app was constructed using the Laravel framework and MySQL for data storage, offering features such as family data management, prospective bride data management, questionnaire data input, survey result evaluation, and coordinate point visualization. The study adopted the Unified Theory of Acceptance and Use of Technology (UTAUT) model to evaluate user acceptance, focusing on four variables: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC). Data collection was carried out using a Likert-scale questionnaire with a sample of 32 public health surveyors selected through purposive sampling, and the data were subsequently analysed for validity, reliability, and correlation. The findings confirmed the validity and reliability of all variables, with strong positive correlations observed, highlighting the app’s ease of use, functionality, and effectiveness in supporting stunting survey activities. The Keluarga Carade app demonstrates the potential to optimise stunting monitoring by facilitating efficient data collection and analysis, thus supporting public health efforts to combat stunting. Future research may explore the app’s long-term impact on reducing stunting rates and its integration within broader public health frameworks.

Pathway analysis of clinical nurse educator’s intention to use virtual reality technology based on the UTAUT model

PurposeThis study aims to investigate the willingness of clinical nurse educator to adopt virtual reality technology, while also examining the underlying mechanisms that influence this willingness through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT).MethodsA convenience sampling method was employed to select 225 clinical nurse educator, all of whom possess a professional qualification certificate as nurse practitioners, from a tertiary hospital in Wuhan City, Hubei Province. The study utilized an adapted UTAUT model theory-based design to develop several questionnaires: the performance expectancy questionnaire (11 items), the effort expectancy questionnaire (4 items), the social influence questionnaire (6 items), the facilitating conditions questionnaire (7 items), and the behavioral intention questionnaire (4 items). These instruments were designed to assess the clinical nurse educators’ willingness to adopt VR technology. Furthermore, a regression model was established to analyze the factors influencing this willingness, utilizing SPSS 26.0 for statistical analysis and validating the model through path analysis with AMOS 24.0, where a p-value of less than 0.05 was considered statistically significant.ResultsThe questionnaire demonstrated strong reliability and validity, yielding a total of 222 valid samples, comprising 209 females (94.14%) and 13 males (5.86%). Among the clinical nurse educators, 163 (73.42%) reported a willingness to use virtual reality technology, with scores of 4 or higher. Pearson correlation analysis revealed positive correlations between performance expectancy, effort expectancy, social influence, and facilitating conditions with behavioral intention (p < 0.05). Furthermore, regression analysis indicated that performance expectancy, effort expectancy, social influence, and facilitating conditions had a positive impact on behavioral intention (p < 0.05). The path model exhibited a good fit, and the results were consistent with the regression analysis, showing that the effects of performance expectancy, effort expectancy, and social influence on the behavioral intention to use virtual reality technology were 0.231, 0.150, 0.236, and 0.247, respectively.ConclusionClinical nurse educators exhibit a robust willingness to engage with VR technology. Moreover, improving factors such as performance expectancy, effort expectancy, social influence, and facilitating conditions can substantially enhance their readiness to adopt this technology.

The impact of smart elderly care service acceptance on elderly service usage behavior in Xi’an: An analysis of mediating effects based on the UTAUT model and the moderating role of digital literacy

As the aging trend intensifies, the Chinese government prioritizes technological innovation in smart elderly care services to enhance quality and efficiency, catering to the diverse needs of the elderly. This study examines the acceptance and usage behavior of smart elderly care services among elderly individuals in Xi’an, using a modified Unified Theory of Acceptance and Use of Technology (UTAUT) model that includes digital literacy as a moderating variable. Data were collected via a survey of 299 elderly individuals aged 60 and above in Xi’an. The study aims to identify factors influencing the acceptance and usage behavior of smart elderly care services and to understand how digital literacy moderates the relationship between these factors and usage behavior. Regression analysis assessed the direct effects of Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) on usage behavior. These dimensions were then integrated into a comprehensive index Service Acceptance to evaluate their overall impact on usage behavior, with behavioral intention examined as a potential mediating variable. Results indicate that EE and SI significantly impact the adoption of smart elderly care services, whereas PE and FC do not. Behavioral intention mediates the relationship between these variables and usage behavior. Additionally, gender, age, and digital literacy significantly moderate the impact of service acceptance on usage behavior. This study provides valuable theoretical and practical insights for designing and promoting smart elderly care services, emphasizing the importance of usability and social promotion to enhance the quality of life for the elderly.

Acceptance and Use of eHealth in Support and Psychological Therapy for People With Intellectual Disabilities: Two Cross-Sectional Studies of Health Care Professionals.

Acceptance of health care professionals is of paramount importance for the uptake and implementation of eHealth. The Unified Theory of Acceptance and Use of Technology (UTAUT) model is a widely used framework for studying health care professionals' acceptance and actual use of eHealth among general client populations. However, there is limited understanding of the eHealth acceptance of health care professionals working with people with intellectual disabilities (ID). This study aimed to explore the applicability of the UTAUT model toward understanding the acceptance, intention to use, and actual use of eHealth among support staff and therapists working with people with ID. A total of 2 cross-sectional survey studies were conducted among health care professionals from 5 health care organizations for people with ID in the Netherlands in 2018 (n=311) and in 2021 during the COVID-19 pandemic (n=326). In addition to confirmatory and exploratory factor analyses to evaluate both the original UTAUT model and an extended version, descriptive analysis was used to explore participants' characteristics, acceptance levels, and eHealth usage. Moderator analysis and multiple regression analysis were also used. A confirmatory factor analysis indicated a poor fit for both the original 4-factor UTAUT model and the extended version. An exploratory factor analysis was then conducted, resulting in a more satisfactory 5-factor model after removing 1 item with a factor loading <.40. Internal consistency of the 5 factors ranged from acceptable to good (Cronbach α=.76-.85). Collectively, all factors predicted the intention to use eHealth in 2018 (R2=0.47; F5,305=54.885; P<.001) and in 2021 (R2=0.43; F5,320=49.32; P<.001). Participants scored moderately on all 5 acceptance factors in both 2018 and 2021. Moderator analysis indicated that age and voluntariness influence the relationship between factors that determined acceptance and intention to use eHealth. The findings from 2 cross-sectional studies conducted in 2018 and 2021, using an extended UTAUT model, gave a deeper understanding of eHealth acceptance among health care professionals who work with people with ID.

Future auditing: Machine learning's impact on audit capacity stress - young auditors' perceptions using UTAUT

Advancing technologies have potential to revolutionize the future of auditing. This study investigates the impact of machine learning adoption on audit capacity stress among Indonesian external auditors. A survey approach was used to collect data from 100 auditors working in public accounting firms. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed to assess factors influencing auditors' perceptions of machine learning usage. The result that comprises of young auditors to be the most respondents show performance expectancy, effort expectancy, and social influence are insignificant towards audit capacity stress. However, facilitating conditions were found to have a significant impact on audit capacity stress, suggesting that infrastructure and resource availability are crucial for young auditors' acceptance of machine learning and its audit capacity stress-reducing effects. Thus, Indonesian auditor requires additional facilitating support to alleviate audit capacity stress. These findings contribute to the understanding of technology adoption and audit capacity stress in the evolving future audit profession.

Leveraging AI-enhanced and emerging technologies for pedagogical innovations in higher education

AbstractThis study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT) constructs - Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) - and BI to use AI is mediated by Attitude towards AI. Additionally, it explores the mediation of the relationship between Technological, Organisational, and Environmental (TOE) framework and BI to use AI by Attitude towards AI. Furthermore, it hypothesises that the relationship between UTAUT constructs, and the actual Usage of AI is mediated by BI. Data were collected from 115 respondents through a survey measuring perceptions of UTAUT and technology-organisation-Environment (TOE) constructs. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyse the data, alongside PLS-Multi-Group Analysis (PLS-MGA) to explore gender differences. The key results indicated that PE and EE significantly influenced Attitude towards AI (F = 14.861 and F = 33.887, respectively), which in turn significantly influenced BI (β = 0.468, t = 5.106). However, SI had an insignificant effect (F = 0.346), and FC had a minimal influence (F = 2.225). The study found that Organisational Context played a significant role in shaping Attitude towards AI, influencing BI, whereas the direct influence of TOE on BI was not significant (F = 1.356), indicating full mediation by Attitude. Additionally, higher BI did not necessarily translate to increased AI usage (β = -0.381, t = 4.749), suggesting external barriers or moderating factors. These findings provide valuable insights for developing strategies to enhance AI-driven pedagogical innovations, emphasising the importance of fostering positive attitudes and addressing practical challenges in AI adoption.

Engineering Students’ Adoption of Generative AI

Generative AI, such as ChatGPT, Google Gemini, Bing CoPilot, and similar models, bring changes in how students interact and search for knowledge online. Researchers are increasingly interested in exploring the factors that influence this change in student interaction with generative AI. This study examines the factors that influence students' intention to use generative AI in the context of a Bangladeshi engineering university. As part of a larger study, this research reports initial findings from pilot data. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), the study examines the role of social influences and cognitive processes in AI adoption of students. Using a quantitative research approach, the study reveals that factors such as social influence, student image, job relevance and perceived usefulness significantly influence students' intention to use generative AI. While male and female students have similar attitudes towards the use of generative AI, local students significantly differ from international students in perceived usefulness, perceived ease of use, and result demonstrability of generative AI tools. These observations can guide educational institutions to integrate generative AI models in the learning environment and offer more interactive and personalised learning experiences for students.

Immersive Virtual Reality: A Novel Approach to Second Language Vocabulary Acquisition in K-12 Education

Today, immersive virtual reality (IVR) is increasing in popularity in a broad range of fields, including science, pedagogy, engineering and so forth. Therefore, this study discusses the Unified Theory of Acceptance and Use of Technology (UTAUT), which can be used to examine the factors that influence the adoption of immersive VR in the classroom, particularly in second language (L2) vocabulary acquisition. The sample for this study included 32 intermediate students and their teacher. For the purpose of evaluation, the researcher used partial least squares structural equation modelling (PLS-SEM) techniques to analyze the results. The findings of the students’ survey showed that performance expectancy, effort expectancy and social influence were seen to have had a positive impact on the intention to use immersive VR. Likewise, the findings indicated that facilitating conditions were seen to have had a positive impact on the use behavior of actually using immersive VR, whereas behavioral intentions did not. In addition, the teacher’s survey demonstrated a favorable view regarding the potential of immersive VR technology to support teaching L2 vocabulary acquisition. This particular study encouraged educators and educational technologists to utilize immersive VR games as a teaching–learning tool to reduce the challenge of L2 vocabulary acquisition.

Factors influencing telehealth adoption among consumers in Malaysia

This study investigates the factors influencing the adoption of telehealth among consumers in Malaysia, aiming to understand the impact of effort expectancy, performance expectancy, computer self-efficacy, and trust on the intention to use telehealth, building on the Unified Theory of Acceptance and Use of Technology (UTAUT). A quantitative descriptive methodology was used, collecting data from 390 Malaysian consumers via an online survey. The data were analyzed using IBM SPSS software to evaluate the relationships between the variables. The analysis revealed significant positive relationships between all examined factors and the adoption of telehealth. Performance expectancy was the most influential factor, followed by trust, effort expectancy, and computer self-efficacy. The multiple regression model indicated that these variables collectively explain 82.1% of the variance in telehealth adoption intention. The findings provide valuable insights for providers and marketers, suggesting that telehealth platforms should focus on performance expectancy, trust, and ease of use. Additionally, the study emphasizes the need for supportive policies from the Malaysian government to enhance telehealth adoption. The results contribute to the literature on healthcare technology adoption, offering practical implications for improving telehealth implementation in Malaysia.

Acceptance and Use of Technology: The Influence on Consumption in the Colombian Banking Sector

This body of research aims to identify the relationship between elements of the Unified Theory of Acceptance and Use of Technology (UTAUT), the behavioral intention to use technology and the actual consumption of it among users in the Colombian banking sector. A factorial analysis and a structural equation model were used to analyze the impact of performance expectancy, effort expectancy, social influence and facilitating conditions on behavioral intention and the actual consumption of technology in a sample of 556 consumers from the Colombian banking sector. The results suggest that effort expectancy and facilitating conditions predict behavioral intention and actual use of technology in the studied population, whereas social influence and performance expectancy do not. In conclusion, financial entities are advised to understand consumer behavior to maintain relevant, competitive, and profitable relationships with their clients in a dynamic financial environment.

The Public Service Digitalization in the Philippines Towards a National Program to Capacitate Digital Frontliners

The rapid advancement of technology has driven a global transformation in public service delivery. In the Philippines, efforts to digitalize public services are crucial for inclusive development and efficient governance. This study, titled "The Public Service Digitalization in the Philippines Towards a National Program to Capacitate Digital Frontliners," examines this transformation through the experiences of government employees, known as digital frontliners. These individuals are key to implementing and managing digital technologies across public sectors.Using a mixed-method research design, the study integrates descriptive, correlative-comparative, and phenomenological approaches to gather quantitative and qualitative data. A total of 400 digital frontliners participated in a survey, while 10 key informants were interviewed. This approach provides a comprehensive analysis of the digitalization process, focusing on demographic profiles, challenges, job satisfaction, and service effectiveness.The theoretical framework includes the Theory of Digital Government Transformation, the Unified Theory of Acceptance and Use of Technology (UTAUT), and Capacity Building and Development Theory. These frameworks help understand the dynamics of public service digitalization, technology acceptance, and the importance of capacity building.Key findings reveal a diverse workforce among digital frontliners, significant challenges such as infrastructure limitations and digital literacy disparities, and varying levels of job satisfaction. The research underscores the need for robust digital infrastructure, tailored training programs, and streamlined administrative processes. It also highlights the importance of public-private collaboration.The study proposes a national program to enhance the capabilities of digital frontliners through continuous professional development and innovation support. This program aims to improve digital public services, making them more efficient, transparent, and accessible. The findings provide a foundation for evidence-based policymaking and strategic planning, contributing to the Philippines' digital transformation and inclusive growth.

Predicting EFL University Students' Acceptance of Mobile Assisted Language Learning through the UTAUT2 Model

This study used the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to examine the factors influencing the acceptance of MALL by the Moroccan EFL students of Sidi Mohamed Ben Abdellah University. For this purpose, 150 undergraduate EFL students participated in the research. The survey questionnaire adapted from (UTAUT2) model showed the influence of the following factors on students' behavioral intention to use MALL: performance expectancy, effort expectancy, social impact, facilitating conditions, hedonic motivation, and habit. The findings highlighted the importance of perceived usefulness and ease of use, the need for institutional support, engaging learning experiences, and promoting MALL use as a habit. This study provides valuable insights for educators and policymakers seeking to optimize MALL adoption and improve language learning outcomes.

Exploring the paradoxical use of ChatGPT in education: Analyzing benefits, risks, and coping strategies through integrated UTAUT and PMT theories using a hybrid approach of SEM and fsQCA

ChatGPT's impact on education is both significant and inevitable, presenting a paradox of threats and benefits. While studies have explored ChatGPT's usage, intention, and motivation, few have addressed its paradoxical use from a benefit-risk-coping perspective, leaving gaps in practical and theoretical solutions. This study integrates the Unified Theory of Acceptance and Use of Technology (UTAUT) and Protection Motivation Theory (PMT) to elucidate ChatGPT's paradoxical use in education. Using Structural Equation Modeling (SEM) and fuzzy sets Qualitative Comparative Analysis (fsQCA), it aims to provide insights and solutions for managing the benefits, risks, and coping mechanisms associated with ChatGPT in education. Hypotheses and propositions were tested on Taiwanese higher education users (N = 351). Findings from SEM confirm that the perceived threat of ChatGPT's severity decreases the intention to use it, while coping strategies such as self-efficacy and response efficacy strongly predict the intention to use ChatGPT. Additionally, the benefits of performance expectancy and task efficiency significantly increase the intention to use ChatGPT, which in turn significantly increases actual usage behavior. Findings from fsQCA reveal three configurations for both the usage and disusage of ChatGPT in education. The study identifies three constructs with necessary conditions. This research makes a significant theoretical contribution by integrating UTAUT and PMT into a unified framework to elucidate the paradoxical aspects of benefit-risk-coping in the use of ChatGPT. Practical implications for higher educational institutions and their scholars (e.g., students, lecturers, researchers) are also provided through confirmed solutions from the QCA model. These solutions offer strategic insights to leverage the benefits, identify the risks, and cope with the threats associated with using ChatGPT in education.

Determinants of Generative AI System Adoption and Usage Behavior in Korean Companies: Applying the UTAUT Model

This study addresses the academic gap in the adoption of generative AI systems by investigating the factors influencing technology acceptance and usage behavior in Korean firms. Although recent advancements in AI are accelerating digital transformation and innovation, empirical research on the adoption of these systems remains scarce. To fill this gap, this study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model, surveying 300 employees from both large and small enterprises in South Korea. The findings reveal that effort expectancy and social influence significantly influence employees’ behavioral intention to use generative AI systems. Specifically, effort expectancy plays a critical role in the early stages of adoption, while social influence, including support from supervisors and peers, strongly drives the adoption process. In contrast, performance expectancy and facilitating conditions show no significant impact. The study also highlights the differential effects of age and work experience on behavioral intention and usage behavior. For older employees, social support is a key factor in technology acceptance, whereas employees with more experience exhibit a more positive attitude toward adopting new technologies. Conversely, facilitating conditions are more critical for younger employees. This study contributes to the understanding of the interaction between various factors in AI technology adoption and offers strategic insights for the successful implementation of AI systems in Korean companies.

Augmented Reality Adoption: Exploring Security Concerns and Consumer Resourcefulness in the Era of Society 5.0

ABSTRACTSociety 5.0, building its foundation on industry 4.0, defines the concept of super smart cities as places where humans can adapt novel technologies such as augmented reality (AR) in their daily lives. AR brought its consumers an immersive and hybrid experience, blurring the boundaries between the real and virtual worlds. This study explores the user adoption of AR, an interactive technology, in the e‐commerce domain in the present era of Society 5.0. This study seeks to address the question of what factors drive the consumer's adoption of AR while shopping online and how security concern and technostress (TS) impact their intention towards its use and its actual usage behaviour. This research offers a novel perspective and fills a gap in the existing literature by integrating consumers' security concerns and TS, previously unexplored factors, in the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The ability of the UTAUT model, over the earlier technology adoption models, to incorporate context‐specific factors makes it significantly relevant for studying AR adoption, a technology blending the virtual and real world. A modified UTAUT‐based questionnaire assessed relevant factors influencing this behaviour. This study employed a quantitative, cross‐sectional survey design to apprehend a broad range of users and to investigate consumer perceptions and adoption of AR in online shopping. Purposive sampling ensured that respondents were aligned with the research context and were knowledgeable about the use of AR in the e‐commerce domain and its relevant applications, thereby strengthening the validity of the study findings. A two‐staged partial least square structural equation modelling–artificial neural network (PLS‐SEM–ANN) data analysis approach was used to determine the study's findings. The meaningful responses collected from 457 respondents were analysed using this targeted approach for in‐depth insights. The synthesis of the study's analysis suggests that personal innovativeness towards information technology and security concerns are critical drivers of intention and actual usage. Interestingly, TS and social influence emerged as non‐significant, indicating a nuanced view of the UTAUT model in this context. A possible explanation for their insignificance lies in the present generation's ability to rapidly adapt to new technologies and make autonomous decisions, reducing reliance on peer influence. By understanding these factors, the research seeks to pave the way for the efficacious integration of AR within the e‐commerce domain. It further emphasizes the significance of consumer resourcefulness, a gap in current research, for bridging the intention‐usage gap. This focus on consumers’ personal innovativeness towards IT, security concerns and consumer resourcefulness provides valuable insights for e‐commerce platforms seeking to drive successful AR adoption. The study explores how well AR will be accepted and used, informing scholarly researchers and businesses on making AR‐integrated online shopping successful.

Exploring Strategies For Expanding The Xiaohongshu App In Malaysia And Singapore: A Study On Developing Chinese Social Media Overseas

This article discusses China's unique social media landscape, which is shaped by the country's culture, politics, and regulatory environment. Chinese social media platforms like WeChat, Weibo, and Xiaohongshu are deeply integrated and innovative, with features such as virtual red envelopes and mini-programs that significantly boost user engagement.However, expanding these platforms overseas presents challenges, such as cultural differences, regulatory environment, and competition. The article focuses on the case of Xiaohongshu (RED). It proposes strategies to improve customer loyalty and functionality in the context of e-commerce, utilizing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) as the theoretical framework.The article highlights the importance of understanding the cultural norms and preferences of the target audience, complying with local laws and regulations, and finding ways to differentiate Chinese social media platforms from established players in the market.

Application of the Extended Unified Theory of Acceptance and Use of Technology to a Robotic Golf Caddy: Health Consciousness as a Moderator

The COVID-19 pandemic not only accelerated the spread of contactless robot services but also revitalized the golf industry. These changes have expedited the adoption of robot caddies, making it necessary to conduct research on golfers’ acceptance of robot caddies. This study, thus, intended to investigate the importance of the extended unified theory of acceptance and use of technology (UTAUT) in the framework of robotic golf caddies and examined health consciousness as a moderator. An online survey was conducted with South Korean golfers, and a total of 391 responses were analyzed. The data analysis results indicated that all five dimensions of the extended UTAUT have a positive impact on attitude. Also, attitude is a significant predictor of both intentions to use and word-of-mouth intentions. Lastly, this study discovered that the moderating effect of health consciousness on the correlation between performance expectancy and attitude was significant.

Acceptance of Digital Discharge Management Interventions Among Patients After Bariatric Surgery: A Cross-Sectional Study

Bariatric surgery is an effective long-term treatment for severe obesity, but relapse rates remain high. Digital interventions can enhance patient care, yet research on the intention to use digital discharge management interventions is lacking. This study aims to assess the behavioral intention to use digital discharge management interventions after bariatric surgery and to identify differences in sociodemographic and medical characteristics, as well as potential key drivers and barriers. A cross-sectional study with N = 514 patients was conducted using the Unified Theory of Acceptance and Use of Technology (UTAUT). Mean scores for behavioral intention and predictors were calculated. Group differences were analyzed with independent t-tests and analyses of variance with post hoc tests. Drivers and barriers were assessed through multiple hierarchical regression analysis. The behavioral intention to use digital discharge management interventions was high. Significant predictors included age (β = −0.17, p &lt; 0.001), eHealth literacy (β = 0.10, p = 0.037), internet anxiety (β = −0.15, p = 0.003), and time since bariatric operation (β = −0.13, p = 0.005). The predictors performance expectancy (β = 0.23, p &lt; 0.001), effort expectancy (β = 0.36, p &lt; 0.001), and social influence (β = 0.26, p &lt; 0.001) were significantly positive key factors. These results confirm the need for implementing digital discharge interventions after bariatric surgery, with various drivers and barriers identified for application usage.

Utilization of, Perceptions on, and Intention to Use AI Chatbots Among Medical Students in China: National Cross-Sectional Study.

Artificial intelligence (AI) chatbots are poised to have a profound impact on medical education. Medical students, as early adopters of technology and future health care providers, play a crucial role in shaping the future of health care. However, little is known about the utilization of, perceptions on, and intention to use AI chatbots among medical students in China. This study aims to explore the utilization of, perceptions on, and intention to use generative AI chatbots among medical students in China, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. By conducting a national cross-sectional survey, we sought to identify the key determinants that influence medical students' acceptance of AI chatbots, thereby providing a basis for enhancing their integration into medical education. Understanding these factors is crucial for educators, policy makers, and technology developers to design and implement effective AI-driven educational tools that align with the needs and expectations of future health care professionals. A web-based electronic survey questionnaire was developed and distributed via social media to medical students across the country. The UTAUT was used as a theoretical framework to design the questionnaire and analyze the data. The relationship between behavioral intention to use AI chatbots and UTAUT predictors was examined using multivariable regression. A total of 693 participants were from 57 universities covering 21 provinces or municipalities in China. Only a minority (199/693, 28.72%) reported using AI chatbots for studying, with ChatGPT (129/693, 18.61%) being the most commonly used. Most of the participants used AI chatbots for quickly obtaining medical information and knowledge (631/693, 91.05%) and increasing learning efficiency (594/693, 85.71%). Utilization behavior, social influence, facilitating conditions, perceived risk, and personal innovativeness showed significant positive associations with the behavioral intention to use AI chatbots (all P values were <.05). Chinese medical students hold positive perceptions toward and high intentions to use AI chatbots, but there are gaps between intention and actual adoption. This highlights the need for strategies to improve access, training, and support and provide peer usage examples to fully harness the potential benefits of chatbot technology.

Determinants of Online Dating Application Among Millennials

Online dating has become increasingly popular in recent years, these platforms provide a convenient and accessible way to meet new people. Studies on the use of dating applications among men and women highlight how these technologies shape communication practices and social relationships. For this study, the Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to discover the determinants of online dating apps’ adoption intention. Possible determinants that might affect the intention to adopt online dating apps are sought and critically reviewed. The variables proposed in this research include performance expectancy, effort expectancy, social influence, facilitating conditions, and an additional variable – trust. Five hypotheses were constructed, questionnaires were distributed and responses were collected to determine the adoption intention of young millennials in Malaysia. The test results indicated that trust, performance expectancy and social influence influenced the adoption intention of online dating applications. Based on the results, for performance expectancy, it was revealed that users expressed concerns about the utility of dating applications in facilitating beneficial functions, such as broadening social networks, enhancing dating opportunities, and meeting dating needs. For social influence, it revealed that individuals, especially peers, who hold significance in their lives, influence their decision to engage with online dating apps. These influential individuals impact the users' intentions by communicating the benefits of online dating apps and recommending their use. As trust improves, millennials are less reluctant to adopt online dating apps, contributing to an increase in the user base for such applications