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AbstractThe use of ChatGPT is spreading rapidly in the world. Although studies on the use of ChatGPT in healthcare are widespread, there have been very few studies examining ChatGPT technology in the context of the extended technology acceptance model (TAM), particularly from the perspective of end users. This study aims to investigate users’ perspectives on utilizing ChatGPT in acquiring health information, employing the extended TAM that encompasses social influence, trust, and perceived surprise factors. The data were collected from a total of 1135 ChatGPT users in Turkey, a developing country, using convenience sampling. Confirmatory factor analyses and structural equation modeling were applied. Findings revealed that the variables affected each other within both TAM and extended TAM models. While focusing on health consumers’ experiences with the use of ChatGPT is referred as the novelty of the study, it provides new insights into the use of ChatGPT in health-based research from the user’s perspective. [ABSTRACT FROM AUTHOR]

Wearable technologies are anticipated to flourish in the fourth industrial revolution, enabling employers to integrate data into organizational systems. This study examined whether readiness for wearables can predict employees’ acceptance of these devices in the workplace. It explored the factors of technology readiness influencing acceptance and attitudes towards wearable use. A quantitative research approach was adopted, involving 8,081 employees from the South African Department of Employment and Labour (DEL). Census sampling was employed, with questionnaires distributed electronically, resulting in 351 responses. The Technology Readiness and Acceptance Model (TRAM) was the measuring instrument. Four hypotheses were formulated to investigate the relationship between readiness and acceptance of wearables. Results indicated that eagerness, optimism, and discomfort in the technology readiness scales significantly predicted technology acceptance. Specifically, optimism and eagerness were consistent positive predictors, while discomfort negatively impacted two of the three acceptance dimensions. Insecurity was not found to be a predictor of acceptance. The study recommends revising DEL's digital transformation policy to embrace wearables, emphasizing their potential for seamless integration. Additionally, it identifies a positive attitude as a new dimension of the TRAM, contributing to establishing a Wearable Readiness and Acceptance Model (WRAM), which has not been previously introduced in the literature. [ABSTRACT FROM AUTHOR]

Abstract\nIMPLICATIONS FOR REHABILITATIONThe pilot study evaluated whether a learning program enhances a positive perception of 3D printing technology in rehabilitation professionals. Physical therapists, occupational therapists and speech-language-hearing therapists were recruited from a rehabilitation department in a middle-sized hospital. Participants were randomized to the control group (n = 13) or the intervention group (n = 14). An eight-week learning program consisted of a lecture on using a 3D printer and related software, a group discussion to integrate 3D printing into their clinical practices, and the implementation in their workplace. Outcome measures included the perception of 3D printing technology assessed by the Japanese version of the modified Technology Acceptance Model questionnaire for 3D printing technology (TAM-J). Assessment time points were pre-and post-intervention. As a result, all participants in the intervention group became capable of producing 3D-printed customized assistive devices. In the within-group analyses, the intervention group showed significant improvements in the TAM-J perception ease of use score (p = 0.012) with a large effect size (r = 0.75). Between-group analyses showed that the intervention group gained an additional improvement in the TAM-J perception ease of use score (p = 0.027) with a moderate effect size (r = 0. 43), indicating a significant improvement in the perceived ease of use of 3D printing technology in the intervention group. These observations suggest the 3D printing learning program could provide rehabilitation professionals with a positive perception of the technical aspect of 3D printing in their workplace.Although the integration of 3D printing technology into healthcare services is expected, there is a gap between research and practice in rehabilitation settings.An educational program for 3D printing technology can offer many rehabilitation professionals an opportunity to engage in making custom-made assistive devices.The learning program in the study has the potential to enhance a positive perception of the technical aspect of 3D printing in rehabilitation professionals. [ABSTRACT FROM AUTHOR]

Technological advances and COVID-19 have led to expedited technology use and online learning in higher education. Increased technology use and online learning have led individuals to either adapt or experience technostress. Higher education is a ripe context for technostress to occur, especially for students, since many courses are being offered in a hybrid and/or synchronous online format due to COVID-19. Students have often been required and/or encouraged to use multiple technologies, especially webcams, during online courses. Thus, this study explores the technostress students could be experiencing from requested webcam use as well as potential influencers and outcomes of technostress for students via exploring factors from Davis's [Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340] technology acceptance model in a new proposed model. Results indicated the model was a significant predictor for digital skills, perceived ease of use, technostress, and cognitive learning for students being required or not required to use webcams. Implications for researchers and instructors as well as future research directions are discussed. [ABSTRACT FROM AUTHOR]

ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven predictors were selected to build a model that predicted the behavioral intention and use behavior of ChatGPT. The partial-least squares method of structural equation modeling was used for data analysis. The model was found to be reliable and valid, and the results were based on a self-reported data of 534 students from a Polish state university. Nine out of ten proposed hypotheses were confirmed by the results. Habit was found to be the best predictor of behavioral intention, followed by performance expectancy and hedonic motivation. The dominant determinant of use behavior was behavioral intention, followed by personal innovativeness. The research highlighted the need for further examination of how AI tools could be adopted in learning and teaching. [ABSTRACT FROM AUTHOR]

A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS) usage behavior in the virtual environment. Given the limited utility of existing theories/models, this study aims to build a theoretical model and to validate the psychological and physiological effects of using VR-BLSs. To explore students' usage intentions, this study integrates the extended unified theory of acceptance and use of technology (UTAUT2), representing the psychological effects, and the perceived physiological vulnerability to IT usage (PPVITU), representing the physiological effects. We empirically examine the research model using a cross-sectional survey, collecting data from a sample of 352 students, and utilizing partial least squares (PLS) for the analysis. Our findings show that the behavioral intention to use VR-BLSs is determined by performance expectancy, social influence, and facilitating conditions. Moreover, PPVITU negatively moderates the association between social influence and the behavioral intention to use VR-BLSs. The results of this study enhance our understanding of the relationship between students' VR-BLS usage behavior and VR-based education. [ABSTRACT FROM AUTHOR]

This study investigates how users' escapism motives and perceptions of technology influence their intentions to continue using metaverse platforms. To this end, a framework based on the technology acceptance model (TAM) is used to explore how the perceptions of two benefits—enjoyment and usefulness—as antecedents of continuance intention, are influenced by an individual's escape motivations (self-suppression and self-expansion) and technological characteristics. A total of 248 responses, collected via an online survey company, were analyzed using structural equation modeling. The results emphasize the importance of both hedonic and utilitarian benefits in sustaining metaverse users. Moreover, users' self-expansion motive has a positive effect on continuance intentions, while self-suppression negatively impacts continuance intentions. The differences between platforms (Roblox and Zepeto) further explored the relationships of the variables in the model. This study enriches the literature on escapism and TAM and provides valuable insights for practitioners by highlighting the impact of users' motives on their intentions to continue using metaverse platforms. [ABSTRACT FROM AUTHOR]

Faced with dramatic pressures connected with COVID-19, the health systems were challenged by the need of providing care to COVID-19 patients, without jeopardising the lives of physicians. Telemedicine was a candidate solution, but just having a well-performing technology is not enough. Theoretical models on technology adoption alert that to be effectively and timely adopted, technology – e.g. telemedicine – has to be accepted. In this article, we investigate the innovation journey of a firm (Firm A) that designed and developed a telemedicine platform, collaborating with different actors – adopters (physicians, nurses and patients) and health decision-makers – according to an open innovation (OI) approach. During the COVID-19 emergency, Firm A has rapidly and successfully modified its product to provide a Local Health District with an effective solution for patients monitoring. The case study shows an interwoven relationship between the OI approach adopted in the development of the telemedicine platform and the acceptance of the technology itself, paving the way to a new role for OI: not only an enabler supporting knowledge exchanges, but also an enabler of Technology Acceptance. [ABSTRACT FROM AUTHOR]

Purpose: This study investigates the multifaceted barriers and facilitators affecting research data sharing across the research data lifecycle. It aims to broaden the understanding of data sharing beyond the publication phase, emphasizing the continuous nature of data sharing from generation to reuse. Design/methodology/approach: Employing a mixed-methods approach, the study integrates the Theory of Planned Behavior, the Technology Acceptance Model, and the Institutional Theory to hypothesize the influence of various factors on data sharing behaviors across the lifecycle. A questionnaire survey and structural equation modeling are utilized to empirically test these hypotheses. Findings: This study identifies critical factors influencing data sharing at different lifecycle stages, including perceived behavioral control, perceived effort, journal and funding agency pressures, subjective norms, perceived risks, resource availability, and perceived benefits. The findings highlight the complex interplay of these factors and their varying impacts at different stages of data sharing. Research limitations/implications: This study illuminates the dynamics of research data sharing, offering insights while recognizing its scope might not capture all disciplinary and cultural nuances. It highlights pathways for stakeholders to bolster data sharing, suggesting a collaborative push towards open science, reflecting on how strategic interventions can bridge existing gaps in practice. Practical implications: This study offers actionable recommendations for policymakers, journals, and institutions to foster a more conducive environment for data sharing, emphasizing the need for support mechanisms at various lifecycle stages. Originality/value: This study contributes to the literature by offering a comprehensive model of the research data lifecycle, providing empirical evidence on the factors influencing data sharing across this continuum. [ABSTRACT FROM AUTHOR]

Various factors restrict the forward movement of blockchain technology (BT) in the architecture, engineering, and construction (AEC) industry. These factors frequently interact and change over time. Thus, conducting continual research and recognizing the crucial factors to establish focused policies and strategies for progress are essential. To tackle this issue, this paper puts forward a theoretical research model of the system dynamics of BT development in the AEC industry from a dynamic research perspective. This research model incorporates the technology–organization–environment framework and the technology acceptance model. The research results show that the development trend of BT within the AEC industry follows an overall S-shape. To varying degrees, the key influencing factors at the technological, organizational, and environmental levels can promote the development of BT. Furthermore, the paper analyzes promotion strategies for the key influencing factors at these three levels. We found that promoting organizational drive significantly impacted improving the effect of BT development. For instance, promoting organizational drive twice could improve the effect by 6.85%. On the other hand, promoting technological factors had a lesser effect; doubling that promotion resulted in an improvement of only 4.53%. Additionally, in the initial phases of BT development, its maturity, compatibility, and adoption cost play a more pronounced effect in determining the level of its development. The research findings aim to enable analyzing the key factors that influence AEC industry development by leveraging BT. This analysis provides the government with the necessary information to create policies that relate to BT. It also shows how adopting this technology can help businesses to reduce costs and improve efficiency. [ABSTRACT FROM AUTHOR]

AbstractProviding corrective feedback to second language (L2) writing constitutes a crucial digital affordance for AI-assisted writing systems. However, L2 writers’ revision strategies and obstacles to adopting AI-generated feedback, such as ChatGPT, remain unclear. Forty-five L2 students in a computer science program were tasked with seeking corrective feedback from ChatGPT for their argumentative essays, followed by an analysis of their revisions and rationale for feedback uptake strategies. The findings revealed that approximately 38% of the feedback was either explicitly argued (22%) or ignored (16%). Upon controlling for writing proficiency, participants statistically rejected a significantly higher proportion of feedback at the content level (e.g. evidence) than at the form level (e.g. grammar). Utilizing the Technology Acceptance Model, the reasons for rejecting or ignoring ChatGPT-generated feedback were examined through participants’ reflective data, focusing on two perspectives: inconvenience to use and unusefulness. Inconvenient factors included (1) overload feedback, (2) provision of general descriptions instead of specific error highlighting, and (3) repetitive and tedious comments. Themes related to unusefulness encompassed (1) misinterpretation of authors’ intentions, (2) lack of clarity and illustrative examples, and (3) extraneous and irrelevant feedback. The implications entail pedagogical strategies to mitigate barriers and foster feedback literacy in AI-assisted educational environment. [ABSTRACT FROM AUTHOR]

This study investigates the technology acceptance of a proposed multimodal wearable sensing framework, named mSense, within the context of non-invasive real-time neurofeedback for student stress and anxiety management. The COVID-19 pandemic has intensified mental health challenges, particularly for students. Non-invasive techniques, such as wearable biofeedback and neurofeedback devices, are suggested as potential solutions. To explore the acceptance and intention to use such innovative devices, this research applies the Technology Acceptance Model (TAM), based on the co-creation approach. An online survey was conducted with 106 participants, including higher education students, health researchers, medical professionals, and software developers. The TAM key constructs (usage attitude, perceived usefulness, perceived ease of use, and intention to use) were validated through statistical analysis, including Partial Least Square-Structural Equation Modeling. Additionally, qualitative analysis of open-ended survey responses was performed. Results confirm the acceptance of the mSense framework for neurofeedback-based stress and anxiety management. The study contributes valuable insights into factors influencing user intention to use multimodal wearable devices in educational settings. The findings have theoretical implications for technology acceptance and practical implications for extending the usage of innovative sensors in clinical and educational environments, thereby supporting both physical and mental health. [ABSTRACT FROM AUTHOR]

The adoption of generative artificial intelligence (GAI) tools, such as ChatGPT, in higher education presents numerous opportunities and challenges. The use of GAI technologies in various fields, including education, has accelerated as technology develops. The widely used language model ChatGPT, developed by OpenAI, has become progressively more important, especially in the field of education. This study employs the technology acceptance model to investigate the factors influencing the employment of ChatGPT within the higher education sector of Pakistan. This study employed the PLS‐SEM method for probing data collected from 368 Pakistani university students. The findings indicate that ChatGPT trust positively mediates the affiliation between ChatGPT self‐efficacy, ChatGPT actual use, ChatGPT use for information and ChatGPT use for interaction. Further, ChatGPT usefulness and ChatGPT ease of use significantly moderate the association between ChatGPT self‐efficacy and ChatGPT trust. Educators must encourage students to use ChatGPT safely to preserve their critical thinking, problem‐solving abilities and creativity during assessments. This study contributes to understanding generative AI tools such as ChatGPT that are used in educational settings and provides insights for administrators and policymakers aiming to implement these technologies effectively. [ABSTRACT FROM AUTHOR]

We replicated and extended previous research to investigate the extent to which perceived ease of use and perceived usefulness account for variation in overall experience, likelihood to recommend, intention to use, and reported usage in a three-month follow-up. Consistent with previous research, we found little effect on structural equation models from varying three measures of perceived ease and two measures of perceived usefulness. All models had statistically significant standardized estimates and squared multiple correlations and had acceptable fit statistics. Despite these manipulations, the models supported a consistent narrative. Both perceived ease and perceived usefulness are important antecedents that either directly or indirectly affect the experiential and intentional outcomes (perceived usefulness somewhat more than perceived ease), with intention to use accounting for 19% of variation in follow-up ratings of usage. These models support UX practitioners by demonstrating the importance of work that improves perceptions of product ease and usefulness and showing that the two-item UX-Lite questionnaire is an effective and efficient measure of perceived ease and usefulness. [ABSTRACT FROM AUTHOR]

Health information technology provides patients the ability to manage their healthcare through patient portals. Such portals increase patient involvement, self-management, and satisfaction. Despite their benefits, patient portal adoption and usage remain low, especially among emerging adults who are newly self-managed. To investigate the behavioral intentions of emerging adults toward adopting and using patient portals, this study builds upon the Technology Acceptance Model, Perceived Risk Theory, and Personal Innovativeness. A survey was administered to emerging adults aged 18-29, and structural equation modeling was used to assess the posited model's fit. Results show the importance of developing practical insights and strategies to overcome resistance behavior. Additionally, the research found that personal innovativeness plays a significant role in adoption and usage intention. These findings extend the literature by highlighting the specific needs of emerging adults regarding patient portal adoption and utilization. The study underscores the importance of providing guidance, training, and awareness programs. [ABSTRACT FROM AUTHOR]

Smartphone technology is increasingly being used to conduct surveys, including in low-income countries where the timely collection of socio-economic data is of great importance. This study investigated the intention of Ugandan smallholder farmers to participate in smartphone-based data collection (SPDC). The data was collected through a cross-sectional survey of 306 smallholder farmers. The results show that the willingness of farmers to participate in SPDC is high. The intention to participate in SPDC is directly influenced by attitude, subjective norms and perceived enjoyment. Indirect influences are perceived usefulness, perceived trustworthiness and perceived cost through their effects on attitude. Similarly, perceived ease of use indirectly influences intention through its effects on perceived usefulness and perceived enjoyment. Statistically significant differences were found in terms of age, gender, mobile phone ownership and education. These results show the great potential of SPDC for data collection in Uganda for researchers, policy makers, agribusinesses and stakeholders. [ABSTRACT FROM AUTHOR]

AbstractGamification is increasingly recognized as a promising intervention to promote individual environmental contributions. However, the understanding of the motivations for users’ continuous engagement intentions with gamified environment protection remains insufficient. This study explores users’ continuous engagement intentions with Chinese pro-environmental gamification Ant Forest, using a research model that integrates the norm activation model, warm glow theory, and technology acceptance model. By analyzing quantitative survey data collected from 525 players of Ant Forest, the model is empirically examined through structural equation modelling. The research results show that Ant Forest users are motivated by a combination of altruistic, egoistic, and pragmatic factors. The identified positive impact factors include personal norms, ascription of responsibility, awareness of consequences, perceived warm glow, perceived ease of use, and perceived usefulness in improving users’ environmental contribution efficiency. Surprisingly, users find Ant Forest enjoyable as a game irrespective of its environmental benefits, but they are not primarily driven by the perceived pure fun from game playing. The findings of the study not only offer a comprehensive explanation for the antecedents of continuous engagement intentions with pro-environmental gamification but also provide theoretical and practical implications for gamification research and design in environment protection contexts. [ABSTRACT FROM AUTHOR]

The global fashion industry is undergoing rapid digitisation in which new Industry 4.0 technologies are changing the way fashion is designed and produced. The Australian fashion industry is considered to be slow in adopting these new technologies. The purpose of this research study is to investigate the current acceptability of Industry 4.0 technologies and the barriers to adoption within Australia. Data from forty-nine fashion organisations were obtained using a technology acceptance model (TAM) survey and a series of ten semi-structured interviews. The TAM survey results indicate that the industry accepts Industry 4.0 technologies to be useful and somewhat easy to use; however, technologies such as autonomous robotics, sensor and digital twin technologies are currently underutilised. Providing further insight, the interviews highlighted the key barriers to be the lack of industry leadership, misaligned knowledge and skills within higher education, and issues in the accessibility and scalability of technical skills and capabilities. [ABSTRACT FROM AUTHOR]

With the changing face of the learning paradigms in education industry due to the impact of global pandemic, various new revolutions are observed. This study reveals the intentions of students and academicians towards improvement in e-learning system. The technology acceptance model is used to identify the acceptability and improvements expected by them. Certain factors are identified in the model along with categorizing them under various hypothesis parameters. A survey was conducted for collecting opinions from various respondents. The survey was communicated in various universities across Middle East Region. More than 20 universities participated for answering the questions. [ABSTRACT FROM AUTHOR]

This study aims to develop a new theoretical framework from the perspective of the Technology Acceptance Model (TAM), incorporating flow theory, to explore the factors influencing behavioral intentions to participate in metaverse tourism. Using data from 518 respondents with metaverse experience and participation in metaverse tourism, the study employed R Studio and Structural Equation Modeling (SEM) to test the relationships between variables in the model. The results indicate that metaverse flow has a significant positive impact on users' perceived usefulness and perceived ease of use, with flow demonstrating strong explanatory power as a precursor factor. Perceived usefulness and perceived ease of use are predictors of users' attitudes to using metaverse technology. A positive attitude towards the metaverse can enhance users' support for metaverse tourism and their behavioral intention to participate in it, while support also positively influences behavioral intention. Support for metaverse tourism acts as a clear mediator between attitudes and behavioral intention. The newly developed theoretical framework in this study provides a fresh perspective for metaverse tourism research and helps enrich empirical analysis in this field. By deeply analyzing tourists' behavioral intentions, the study provides valuable insights for stakeholders to develop targeted marketing strategies and services, thus promoting the future development of metaverse tourism. [ABSTRACT FROM AUTHOR]

Social networks have become a significant part of people's daily lives, particularly in the purchasing process. In this context, digital influencers have played an essential role in shaping consumers' opinions. In this sense, studying the role of social networks and influencers in the online product purchase decision process was considered pertinent. We selected two technology adoption models to fulfill this purpose: the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). We conducted an exploratory study using a quantitative approach, with data being collected through a questionnaire distributed online. The statistical analysis of the empirical model employed a partial least squares structural equation modeling (PLS-SEM) technique. Analyzing the 135 responses allowed us to conclude that social networks are relevant in consumers' purchase decision process. This research highlights the importance of the credibility of influencers, emotional connections with audiences, and the dynamics of the media in shaping consumer behavior. It highlights the strong influence of digital influencers on purchasing decisions and makes a methodological contribution with a rigorous empirical model. This study also suggests avenues for future research in order to deepen the understanding of influencer and social media marketing strategies. [ABSTRACT FROM AUTHOR]

The present research aimed to determine the use and acceptance of video in the self-creation of assignments or evidence of learning as a strategy to mitigate plagiarism. This research adopted a mixed design, with an experimental, exploratory, and descriptive scope that reflects an innovative approach to meet this challenge. A non-probabilistic sample was considered, comprised of students in their first semester of higher education in the subject of Introduction to Programming at a public university in Mexico. The participants were divided into an intervention group and a control group. The acceptance of the use of the implemented strategy was evaluated using the Technology Acceptance Model and the results revealed the viability and usefulness of the strategy since the students in the intervention group stood out in the creation of their assignments compared to the control group. There was a positive and strong relationship between academic performance and the perceived usefulness of the strategy. We conclude by emphasizing the importance of teachers promoting the active role of students in the development of their work, to promote authentic learning and guarantee educational quality. [ABSTRACT FROM AUTHOR]

Introduction: The outbreak of the novel coronavirus disease-19 posed significant challenges globally, impacting various sectors and health care systems profoundly. In response, telemedicine has emerged as a vital solution to address health care demands and resource shortages. However, there is a lack of comprehensive research on telemedicine usage among health care consumers in urban and rural areas of Taiwan. Methods: This study aimed to investigate the usage, attitudes, and intentions of telemedicine utilization among health care consumers in Taiwan, integrating the Technology Acceptance Model and Theory of Planned Behavior. A cross-sectional study was conducted from April 2023 to May 2024, involving 1,053 participants who utilized telemedicine services. Structured questionnaires were used for data collection, and statistical analyses were performed using SPSS 21.0 software. Results: The results revealed significant disparities in telemedicine utilization between urban and rural areas, with urban residents exhibiting higher levels of perceived ease of use, perceived usefulness, attitude toward use, trust, and intention to use telemedicine. Regression analysis indicated a significant association between urban residence and male gender with telemedicine utilization, contrary to previous research findings. These disparities may stem from differences in health care accessibility and cultural norms prevalent in urban and rural areas. Conclusions: Further investigation into gender differences and interventions to promote telemedicine usage among females, particularly in urban areas, are recommended. This study provides valuable insights for future research and health care policy formulation. [ABSTRACT FROM AUTHOR]

This study was conducted to understand pre-service and in-service teachers' intentions to use mobile-based assessment in classes by integrating theory of planned behaviour, technology acceptance model, and self-determination theory into one conceptual framework. Data were analysed using the structural equation model (SEM). Results of SEM from a sample of 522 pre-service teachers and 279 in-service teachers revealed that, compared to existing theories, the proposed model has a better acceptable level of explanatory power for intention to use mobile-based assessment. Results also showed that all the hypothesis relationship among constructs within the model was supported. In addition, the study identified the prominent mediating role of perceived usefulness, perceived ease of use, and attitude and moderating impact of gender on intention to use mobile-based assessment. All in all, the study provides useful implications for policymakers, teacher educators, and school administrators as well as suggestions for future researchers. [ABSTRACT FROM AUTHOR]

Intelligent Personal Assistants (IPAs) are becoming more prevalent in daily and educational contexts, increasing the possibility of using them as learning partners that can provide more personalized and learner-centric learning opportunities. However, research has primarily focused on educational advantages that IPAs may provide, overlooking investigation on students' acceptance of IPAs. To address this gap, this study empirically explored factors influencing students' intention to use IPAs for learning. A conceptual research model was designed based on the technology acceptance model. Data were collected from 1044 South Korean students, who were experienced in using IPAs. Results were analyzed using structural equation modeling. The findings indicate that the proposed model sufficiently explains students' IPAs acceptance for their learning. In addition, students' computer self-efficacy and self-management of learning ability were prominent factors influencing their intention. Moreover, their trust toward IPA and feeling of social presence on IPAs were found to be significant factors to be considered as well. Based on these findings, future recommendations for fostering students' active use of IPAs for learning are discussed. Additionally, both theoretical and practical implications are highlighted. [ABSTRACT FROM AUTHOR]

Consistent with their goal of becoming a centre for educational excellence in teaching, learning and research, the authorities of Chinese higher education introduced their academic database system as one of their e-library services. However, the existing literature exhibits inadequate empirical measurements of academic databases in all aspects of higher education throughout the world during the COVID-19 pandemic. To address this gap, this study aims to validate the technology satisfaction model (TSM) for measuring students' satisfaction in using academic databases for their learning and research purposes. This study also analysed local and international academic databases to explore whether these databases could play a moderating role in shaping learners' satisfaction. The data were collected through a survey of 500 respondents studying at a research university in Shanghai. The results, which were analysed by structural equation modelling and the Rasch model, showed that students' satisfaction is determined by three valid predictors: computer self-efficacy, perceived usefulness and ease of use, and causal direct and indirect relationships among these variables in the use of local and international academic databases. Our new findings on the moderating effect of local (i.e. Chinese) and international (e.g. English) academic databases highlighted that the TSM has successfully estimated dual databases and produced insignificant, dissimilar results. This study could aid local and international educators, researchers, information science professionals and others in measuring the perception of academic databases for learning and research. This research could also serve as a guideline for researchers and psychometricians in measuring innovative learning technologies using structural equation modelling and the Rasch model. This is the unique contribution of this study, which concludes that local and international academic databases are almost equally important for postgraduate students at a research university in China. Moreover, these students are satisfied in using these academic databases to learn and do research. [ABSTRACT FROM AUTHOR]

The metaverse is rapidly reshaping our understanding of education, yet identifying the public's beliefs, emotions and sentiments towards its adoption in education remains largely uncharted empirically. Grounded in the Technology Acceptance Model (TAM) and Digital Diffusion Theory (DOI), this paper aims to fill this gap using a big‐data approach and machine learning to scrape comments made by social media users on recent popular posts or videos related to adopting the metaverse in education from three prominent social media platforms. The cleaning process narrowed down 11,024 comments to 4277, then analysed them using thematic, emotion and sentiment analysis techniques. The thematic analysis revealed that adopting the metaverse in education evokes a complex range of public beliefs: (1) innovative learning methods; (2) accessibility and inclusion; (3) concerns about quality and effectiveness; (4) technological challenges and the digital divide; (5) the future of work and skills; and (6) privacy and security concerns. Integrating these themes with emotion and sentiment analyses reveals a landscape of a significant portion of neutral sentiments that corroborates enthusiasm attenuated by caution. This careful consideration stresses the urgent need for a balanced approach to adopting the metaverse in education to ensure that resulting educational advancements benefit all learners equitably. As one of the first studies to offer a multidimensional view of the public's beliefs about metaverse education using big data, this research not only contributes to TAM and DOI but also provides critical insights that could inform policy, enhance educational practices and guide future scholarship in this emerging field. [ABSTRACT FROM AUTHOR]

In recent times, the usage of cryptocurrencies has become remarkably widespread in e-commerce applications. This study aims to explain the factors affecting cryptocurrencies by proposing an extended technology acceptance model (TAM) consisting of perceived ease of use, perceived usefulness, trust, social influence, social support, religious belief, and intention to use. A web-based survey was conducted to collect data from individuals who had never previously used cryptocurrencies and data were analyzed via employing partial least square structural equation modelling (PLS-SEM) with SmartPLS software. According to the results, the relationships based on early TAM were validated. Additionally, trust, social influence, and social support have direct effects on the intention to use. Contrary to expectations, religious belief has no influence on trust and intention to use. This study could draw the attention of researchers, developers, and marketers in cryptocurrency to understand the dynamics of potential customers. Findings of this study highlight the pressing need for policymakers in Turkiye to prioritize ease of use, perceived usefulness, and, most importantly, trust within the evolving landscape of cryptocurrency systems. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has seen rapid advancements, establishing itself as a robust tool for fostering accessible teaching and learning environments. Nevertheless, the efficacy of these intelligent learning settings in bolstering the engagement and learning outcomes for students with hearing impairments warrants further investigation. This research leveraged Design-Based Research (DBR) to iteratively refine intelligent learning environments, while also adopting the Community of Inquiry (COI) and Technology Acceptance Model (TAM) to assess classroom presence and perception among students with hearing impairments. The results revealed notable enhancements in teaching presence, cognitive presence, social presence, and overall perception within intelligent learning contexts for hearing-impaired students. Additionally, their understanding of abstract and ill-structured knowledge significantly improved. Such findings offer valuable insights for the design of inclusive teaching and learning environments in special education. [ABSTRACT FROM AUTHOR]

It is crucial to understand the mechanism of how people perceive and accept Shared Autonomous Vehicles (SAVs) to realize the benefits that they will bring to transport networks, including increased safety on the roads. Experience with semi-automated cars and Autonomous Vehicle (AV) demonstration projects has been shown to positively affect acceptance of AVs, however automated transport technologies have been adopted in practice for years such as automated railways and aircraft autopilot; whether there are any connections between exposure to automated railways and aircraft autopilot and acceptance of SAVs is not well known. We explored the connections between trust in safety, knowledge of, and experience with automated railways, aircraft autopilot, and ADAS and intention to use a SAV. We surveyed individuals from Korea National University of Transportation (KNUT) in Chungju, Korea (n = 226), who will soon be able to use a SAV service, and adopted a model based on the Technology Acceptance Model (TAM). We found there to indeed be a connection between exposure to and trust in the safety of existing automated transport modes and acceptance of a SAV. Constructs with the strongest effects were found to be trust in safety of automated transport, hedonic motivation, perceived ease-of-use, perceived usefulness, and knowledge of automated transport. Experience with automated railways, but not semi-automated cars, was found to negatively moderate the relationship between hedonic motivation and intention to use a SAV. We discuss the policy implications of these results. [ABSTRACT FROM AUTHOR]

The Metaverse, characterized as an interactive and immersive 3D virtual world, is widely recognized for its considerable potential across a range of industries. However, the long-term viability and success of the Metaverse are contingent upon the extent to which users accept and adopt it. Despite this critical aspect, there is a scarcity of research that investigates the factors influencing user acceptance of the Metaverse. To address this research gap, the present study expands upon the technology acceptance model by integrating social and psychological constructs such as social interaction, social presence, conformity, emotional attachment, flow, and perceived enjoyment. The data for this study were obtained through an online survey. A total of 418 responses were collected from Metaverse users, with a response rate of 84%. Partial least squares structural equation modeling was used to analyze the survey data. Results showed that: (1) perceived ease of use (β = 0.214, p < 0,001), emotional attachment (β = 0.375 p < 0,001), and enjoyment (β = 0.194, p < 0,001) could have a positive effect on perceived usefulness; (2) emotional attachment (β = 0.142, p = 0.018), enjoyment (β = 0.179, p = 0.008), and social presence (β = 0.183, p = 0.008) could have a positive effect on perceived ease of use; (3) perceived usefulness (β = 0.432, p < 0,001), perceived ease of use (β = 0.106, p = 0.011), emotional attachment (β = 0.209, p < 0,001), and social interaction (β = 0.209, p < 0,001) have a positive effect on attitudes toward using the Metaverse; (4) perceived usefulness (β = 0.174, p = 0.001), attitudes (β = 0.35, p < 0,001), flow (β = 0.128, p = 0.011), and social interaction (β = 0.106, p = 0.015) could positively influence users' intention to use the Metaverse. However, social presence could not significantly influence perceived usefulness (β = 0.078, p = 0.141). These results offer important implications for developers and practitioners looking to design and promote the utilization of the Metaverse. [ABSTRACT FROM AUTHOR]

Robots and artificial intelligence (AI) have seen increased adoption in healthcare. These health technologies have the capability of providing tailored messages and feedback to each individual. Thus, a robot can potentially serve as a personal health advisor, particularly for health issues that could be benefited through regular guidance and instructions. However, there is a limited understanding of how people might respond to the idea that their health advisor could be a robot. Thus, the present study employs the technology acceptance model (TAM) to examine intentions to adopt a robotic health advisor. Findings demonstrate that perceived ease of communication with and perceived usefulness of a robotic health advisor positively predict favorable attitudes toward a robotic health advisor, which subsequently leads to strong intentions to adopt it. The present investigation also finds that perceived usefulness of a robotic health advisor directly leads to an individual's intentions to adopt it. Overall, the present study provides important implications for perceptions of a robotic health advisor. [ABSTRACT FROM AUTHOR]

This study investigates the users' perception of trust-building factors influencing the use of e-government services and information, by integrating constructs identified in the technology acceptance model (TAM) with information systems (IS) success and trust models. Data was collected using a questionnaire targeted towards users of e-government services in Kuwait. The partial least squares structural equation modeling method was used to analyze 717 valid questionnaire responses. The results indicate that information quality and design (IQD) and perceived ease of use (PEU) influence individuals' trust in e-government (TEG), thereby affecting their behavioral intentions (BI). Furthermore, the results indicate an average level of the users' satisfaction and significant differences in how gender and nationality are associated with the overall satisfaction of e-government services users. The proposed framework contributes to extending models by integrating IQD (a modified construct of the IS model) and PEU (a construct of the TAM) as trust-related factors that provide better insights into the driving forces of BI and should be considered when designing and developing e-government services. Additionally, the study provides a deeper understanding of the challenges that could hinder the use of e-government systems. [ABSTRACT FROM AUTHOR]

Blockchain has attracted attention within business circles because it promotes secure and cost-saving transactions between anonymous parties without human mediation. This study examines the Technological Organizational and Environmental (TOE) drivers of blockchain supply chain finance adoption in Ghanaian SMEs. Specifically, this study differs from prior studies employing the United Theory of Acceptance and Use of Technology (UTAUT) and the Technology Acceptance Model (TAM) which ignores the TOE elements. Utilising the Partial Least Squares Structural Equation Modelling method (PLS-SEM) and nonlinear non-compensatory PLS-ANN approach, we provide empirical evidence using data from 214 registered SME members of the Association of Ghana Industries (AGI). Our findings suggest that relative advantage, cost, and complexity significantly influence the adoption of blockchain supply chain finance in SMEs. However, competitive pressure, market dynamics, and SME owner/manager support had no statistically significant influence on the intention of SMEs to adopt blockchain supply chain finance. This is because of the relatively low adoption rate of blockchain applications in SMEs in the country. Therefore, extensive education on the applications of blockchain technology is required to stimulate diffusion amongst SMEs. [ABSTRACT FROM AUTHOR]

Although Blockchain technology has shown its usefulness, there exist limited studies and industrial applications. Presented research investigates factors influencing blockchain adoption. It reflects on how the perceived benefit of blockchain may influence the adoption and how organisational size may affect this process. This study integrates the framework of the Technology Acceptance Model (TAM) with the Theory of Planned Behaviour (TPB) and extends it with the perceived benefits of blockchain adoption while including firm size as moderator. Data collected were analysed with a PLS-SEM. Our results showed that a significant predictor of intention to use blockchain is perceived behavioural control. Moreover, it was found that perceived benefit significantly influenced perceived usefulness. Finally, the study demonstrated that SMEs are more efficient in adopting blockchain compared to Large firms. [ABSTRACT FROM AUTHOR]

AbstractDespite the growing number of cultural applications (apps), they still face challenges in inefficient cultural dissemination, necessitating user acceptance research. In this article, a conceptual cultural app acceptance model is proposed and tested in China (n = 351), using covariance-based structural equation modeling (CB-SEM). The results show that cultural identity (CI) has a significant impact on the perceived usefulness (PU) and the behavioral intention to use the app (BI). Aesthetics (AE) significantly influences CI, PU and perceived ease of use (PEOU) but does not affect BI. Additionally, PU and PEOU have a weak impact on BI. Demographic analysis found significant differences between different genders when examining CI and AE. There are also significant differences in CI, AE, PU, PEOU and BI with or without using experience-based criteria. Our findings can help to understand users’ needs and preferences for mobile cultural apps and to promote digital culture. [ABSTRACT FROM AUTHOR]

The concept of viewing a patient as an organization within the context of digital healthcare is an innovative and evolving concept. Traditionally, the patient-doctor relationship has been centered around the individual patient and their interactions with healthcare providers. However, with the advent of technology and digital healthcare solutions, the dynamics of this relationship are changing. Digital healthcare platforms and technologies enable patients to have more control and active participation in managing their health and healthcare processes. This shift empowers patients to take on a more proactive role, similar to how an organization functions with various stakeholders, goals, and strategies. The prevalence of mobile phones and wearables is regarded as an important factor in the acceptance of digital health. Objective: This study aimed to identify the factors affecting adoption intention using the TAM (Technology Acceptance Model), HB (Health Belief model), and the UTAUT (Unified Theory of Acceptance and Use of Technology). The argument is made that the adoption of the technology enables patients to create resources (ie, data), transforming patients from mere consumers to producers as well. Results: PLS analysis showed that health beliefs and perceived ease of use had positive effects on the perceived usefulness of digital healthcare, and system capabilities positively impacted perceived ease of use. Furthermore, perceived service, the customer's willingness to change and reference group influence significantly impacted adoption intention (b > 0.1, t > 1.96, P <.05). However, privacy protection and data security, online healthcare resources, and user guidance were not positively associated with perceived usefulness. Conclusions: Perceived usefulness, the customer's willingness to change, and the influence of the reference group are decisive variables affecting adoption intention among the general population, whereas privacy protection and data security are indecisive variables. Online resources and user guides do not support adoption intentions. [ABSTRACT FROM AUTHOR]

In Malaysia, the B40 segment, particularly low-income women entrepreneurs, faces distinct challenges in adopting technology within their businesses. This qualitative study explores the low uptake of technology adoption among these entrepreneurs to understand the underlying dynamics. By addressing the "what" and "why" of low technology adoption, the research aims to provide insights for fostering inclusivity and empowerment within Malaysia's entrepreneurial landscape. The study involved an in-depth focus group discussion with 25 women entrepreneurs from four states across Malaysia, utilizing thematic analysis with Atlas TI. Key findings reveal issues related to technology adoption based on TAM theory. The findings indicate that most entrepreneurs are integrating technology into their business operations, either through social media marketing, e-commerce platforms, cashless payment methods, online delivery services, and machines, regardless of whether they are located in rural or metropolitan areas. The majority of the respondent are utilizing technology through their social media marketing. These situations have arisen as a result of the impact of COVID-19, which has compelled all entrepreneurs to adopt technology, even at a minimal level. The majority use social media platforms like Facebook and WhatsApp for marketing and adopt online banking and cashless payment methods such as DuitNow QR Code, Touch 'n Go, Boost, Shopee Pay, and Sarawak Pay. Despite using online food delivery services like Food Panda and Grab Food, trust issues such as payment delays, non-payment by drivers, and high commission fees make these platforms less appealing. Additionally, entrepreneurs prefer traditional methods over machinery to maintain quality and struggle to meet e-commerce demand due to their small-scale production, limiting their ability to fully use technology for business growth and sustainability. The findings support the theoretical insights of the TAM model and suggest actionable strategies for fostering technology adoption and empowerment among low-income women entrepreneurs in Malaysia. [ABSTRACT FROM AUTHOR]

The promotion and application of autonomous vehicles (AVs) will bring huge benefits to society in economic and environmental aspects, and the public acceptance degree is a crucial influencing factor. Based on technology acceptance model (TAM) and information system success (ISS) model, this research develops a new framework from the perspective of AVs information system to explain public acceptance. The framework explores the relationship between variables such as system quality, information quality, service quality, perceived usefulness, perceived ease-of-use and AVS acceptance, and it also examines the mediating role of perceived ease-of-use and perceived usefulness. Based on a survey of 323 respondents, the results indicate that system quality, information quality, and service quality are key factors affecting AVS acceptance. Additionally, compared to perceived usefulness, perceived ease of use manifested a greater mediation on explanatory variables with AVs acceptance. Moreover, the research also makes recommendations for AVs manufacturers to focus on system quality and information interaction mode in the design and development process of AVs. And thus, making AVs easier to use without cognitive load could improve the AVs acceptance and adoption. [ABSTRACT FROM AUTHOR]

AbstractVirtual reality (VR) devices are being increasingly integrated into training, clinical practice, and healthcare treatment. While existing research predominantly focuses on modern medicine, this study investigated the factors influencing the intention to utilize VR devices within the context of Ayurvedic yoga and meditation practices. Employing an extended technology acceptance model (TAM) and incorporating elements from social cognitive theory, this study explores the impact of perceived intelligence, technological self-efficacy, and conventional TAM factors on Ayurvedic physicians’ usage behavior, continuance intention, and recommendation intention regarding VR devices. Data were collected from 275 Ayurvedic doctors and analyzed using PLS-SEM. The findings revealed a robust association between these constructs and medical practitioners’ adoption of VR in Ayurvedic yoga and meditation practices. Additionally, the study demonstrated a positive influence on the continuance and recommendation intentions of VR devices. The research also identifies demographic differences, such as age and gender disparities, which underscore distinct VR utilization patterns among these cohorts. [ABSTRACT FROM AUTHOR]

This study utilizes the UTAUT model, one of the technology acceptance models, and discusses tourism academics’ adoption of technology in teaching and research practices in the context of this model. The data collection process of the study was completed with the help of a survey, one of the quantitative research methods data collection tools, and analyzes were carried out on the data received from 403 tourism academics in Türkiye. The results of the study some descriptive features of faculty members affect their expectations from technology and attitudes towards technology. This study is limited to tourism academics in Türkiye. It demonstrates to decision makers that technology is a factor to be considered in the development of educational plans and policies. [ABSTRACT FROM AUTHOR]

AbstractIntegrating digital game-based learning (DGBL) into mathematics teaching has gained significant attention for its potential to improve learning outcomes. However, adopting DGBL in mathematics remains challenging, particularly in resource-constrained contexts such as South Africa. Consequently, this study used the Technology Acceptance Model (TAM) to investigate mathematics teachers’ adoption of DGBL in their classrooms. We interviewed twenty-four primary and secondary school mathematics teachers in the Northern Cape province about their use of DGBL. Inductive thematic analysis was employed to analyze the data. The findings revealed that external variables such as language barriers, teachers’ technophobia, parental influence, and students’ limited reading skills negatively influenced teachers’ perceived usefulness of digital games. We also found that the teachers’ attitudes toward DGBL, which were influenced by their positive perception of it, influenced their intention to use digital games for mathematics purposes. The study recommends targeted policy interventions, including the development of multilingual digital tools and comprehensive professional development programs, to enhance the adoption of DGBL among South African mathematics teachers. [ABSTRACT FROM AUTHOR]

AbstractThis Systematic Literature Review explores the evolving landscape of consumer behaviour towards DVAs using the TCCM (Theory-Context-Characteristics-Methodology) framework. Through a comprehensive analysis of 64 research papers sourced from the Scopus database, indexed in the ABDC (Australian Business Deans Council) category list, and published until December 2023, we uncover pivotal themes and significant knowledge gaps in the current body of research. The findings show that most studies on consumer-DVA interactions are empirical in nature, predominantly focused on the shopping and hospitality sectors, and grounded in the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) frameworks. Applying the TCCM framework, this paper uncovers fertile ground for future research, highlighting opportunities for further exploration and development. Building on the identified research gaps and our insights, we present integrated frameworks on consumer behaviour towards DVAs. Additionally, we provide actionable recommendations for DVA researchers, developers, and marketers, highlighting critical areas for future research, such as integrating sentiment analysis and emotional recognition capabilities. We also propose tailored strategies, including customizable DVA personalities and engaging voice experiences, to enhance consumer engagement and brand loyalty. The paper concludes with a summary of limitations and key findings. [ABSTRACT FROM AUTHOR]

Augmented reality (AR) technology is expanding into the restaurant industry, yet the use of AR menus has not been investigated yet. The purpose of this research is to study consumers’ perceptions of the use of AR menus in restaurants. A research model grounded in the Technology Acceptance Model (TAM) was used for the study. After 368 responses were collected through an online self-administered survey, multiple regression analyses were performed to explore the impact of factors on customer intention. The results of the study indicated that perceived usefulness, perceived innovativeness, subjective norm, perceived enjoyment, and perceived benefit influenced customer intention. In addition, it was found that there are gender differences in consumer intention. Managerial and theoretical implications are discussed; limitations and recommendations for future study are also provided. [ABSTRACT FROM AUTHOR]

Transitioning to a fully Level-5 autonomous vehicle (AV) environment presents numerous challenges, notably influenced by public adoption intention. Previous studies have shown limitations in scope, population, and methodology. This study expands the Technology Acceptance Model to investigate AVs adoption intention across various city sizes in China. Through surveys in China, 2,662 responses were gathered in 2021 from mega, large, and small-to-medium cities. Using Multiple Indicators and Multiple Causes models, the study examines influencing factors on AVs adoption intention and population heterogeneities. Key findings emphasize the importance of adoption attitude, information provision, and perceived AV usefulness. Additionally, the impact of financial incentives, convenience, and several other factors varies across city sizes. The insights gained from the study can be utilized to develop more cost-effective policies and strategies tailored to different subgroups of the population to fully utilize the potential benefits of AVs while minimizing unintended consequences across diverse urban settings. [ABSTRACT FROM AUTHOR]

Shared E-scooter (SE) travel is a low-carbon transportation method that can be further enhanced by integrating with metro systems. This study aims to quantify the impact of the built environment, attitude preferences, weather perception, and other factors on the evaluation and intention to use the "SE-metro transfer" travel mode, as well as how to efficiently and concisely measure and model these effects. Empirical analysis was conducted using questionnaire data from Changsha, China, with 683 participants surveyed. Three satisfaction models were established and compared based on the Technology Acceptance Model (TAM), and an optimal M2 model was expanded to incorporate users' subjective perceptions of weather, proposing a method to simplify questionnaire length. The study found that well-designed vehicles and infrastructure, along with necessary supporting facilities, play important roles in enhancing SE usage. However, there are still many areas for optimization in Changsha's SE policies. Despite the advantages of SE in terrain and physical fitness, which have significantly expanded and changed their user base compared to traditional shared bicycles, there is still much potential to adapt to the middle-aged and older user groups. The results of this study can provide valuable insights for professionals and government officials in designing systems, constructing infrastructure, and formulating policies. [ABSTRACT FROM AUTHOR]

Metaverse is a concept that emerged with digital transformation. The acceleration of technological developments and the change in the way of doing business make it necessary for businesses to adapt to this change by adopting disruptive business models. Businesses need to recognize the metaverse market and understand consumer demands in the meta world to gain a competitive advantage. From a marketing perspective, understanding consumers' intention to use metaverse technologies and determining marketing strategies accordingly can provide valuable insights to businesses and help develop marketing strategies for metaverse. This study aims to investigate the impact of the Technology Acceptance Model (TAM) dimensions and social influence on the intention of consumers living in Turkey to use metaverse technologies. For this purpose, 201 people were surveyed and the data were tested with structural equation modeling. In the study, the Technology Acceptance Model (TAM) was used to determine the factors affecting the use of metaverse technologies. According to the research findings, perceived ease of use positively affects perceived usefulness and attitude towards metaverse. In addition, perceived usefulness positively affects attitude towards metaverse, while attitude towards metaverse and social influence positively affect intention to use metaverse technologies. It is aimed that the research findings will expand the metaverse marketing literature and guide marketing practitioners. [ABSTRACT FROM AUTHOR]

Rapid technological developments in recent years have led to the transformation and digitisation of financial services, resulting in a proliferation of neobanks. At the same time, the level of consumer acceptance is a key success factor for the widespread uptake of services offered by these branchless banks. Our research aims to understand the individual decision-making process of potential and current neobank users. By extending the widely used Technology Acceptance Model (TAM) with trust, this study seeks to explore the relationships between the factors influencing consumer intention to use neobank services. To answer the research questions, an online questionnaire survey was conducted in Hungary in 2022. The sample of 475 respondents was analysed using Structural Equation Modeling (SEM) and our results showed that intention to use is directly influenced by attitude towards use, which in turn is positively influenced by trust, perceived usefulness and perceived ease of use. Based on these results, we suggest that neobanks should focus on developing positive attitudes towards their services by emphasising trust, reliability, ease of use and perceived usefulness of their services. [ABSTRACT FROM AUTHOR]

Mobile banking is very effective in conducting non-cash transactions, especially during the pandemic, which requires no direct contact to make transactions. So, with the current phenomenon and reality, banks, in particular, are flocking to launch mobile banking applications, including BWS mobile banking. This study aims to analyze the effect of system quality, perceived usefulness, and perceived ease of use on BWS Mobile Banking user satisfaction with the Technology Acceptance Model (TAM) approach. The method in this study uses quantitative methods, with primary data sources (where the data collection technique uses a questionnaire method via Google form) which are distributed through the WhatsApp group and secondary data (data from the PT Bank Woori Saudara website and the Woori Global Standard System (WGSS) database). Research data analysis using the Statistical Product and Service Solutions (SPSS) version 26.0 program. The results of this study can determine that the variables of System Quality, Perceived Usefulness, and Perceived Ease of Use have a positive effect on User Satisfaction. The results of the user satisfaction test show that the Perceived usefulness variable Because high Perceived usefulness tends to provide a positive experience to users; they will feel that using the application provides significant value or benefits because satisfaction can be influenced by the extent to which the application effectively meets user needs or goals. The test result of the lowest user satisfaction level is the system quality variable, where PT Bank Woori Saudara must improve system quality and user satisfaction because system quality must have a fast response time, be reliable, flexible, and have good security. [ABSTRACT FROM AUTHOR]

The integrated ECM and the TAM were being used to identify the determining factors predicting students' intention to use the Learning Management System. The independent study was conducted solely focused at Gombe State University's Faculty of Art and Management Science in Nigeria. This was a quantitative research design wherein the online questionnaires were distributed to 500 selected post-graduate students through convenient sampling with the additional support of the snowballing sampling technique. The data collected was analysed using SPSS Version 22 and Amos Version 21. This study reveals that the broadly defined integrated model variables can influence a large percentage of high school students using LMS. However, one of the integral factors in the Expectation Confirmation Model (ECM), "Confirmation," is discovered to be completely unimportant in the comprehensive integrated model. This research study outlines the various important benchmarks throughout the LMS design phase as well as a strongly proposed optimum approach to a fully utilised LMS process at universities as well as higher education institutions. The study suggested that students and teachers are essential participants for whom the continued involvement tends to increase the interactions and exchange of knowledge of teaching and learning information within and between teaching staff and students. [ABSTRACT FROM AUTHOR]