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BACKGROUND: Improving shared decision-making using a treat-to-target approach, including the use of clinical outcome measures, is important to providing high quality care for rheumatoid arthritis (RA). We developed an Electronic Health Record (EHR) integrated, patient-facing sidecar dashboard application that displays RA outcomes, medications, and lab results for use during clinical visits (RA PRO dashboard). The purpose of this study was to assess clinician perceptions and experiences using the dashboard in a university rheumatology clinic. METHODS: We conducted focus group (FG) discussions with clinicians who had access to the dashboard as part of a randomized, stepped-wedge pragmatic trial. FGs explored clinician perceptions towards the usability, acceptability, and usefulness of the dashboard. FG data were analyzed thematically using deductive and inductive techniques; generated themes were categorized into the domains of the Technology Acceptance Model (TAM). RESULTS: 3 FG discussions were conducted with a total of 13 clinicians. Overall, clinicians were enthusiastic about the dashboard and expressed the usefulness of visualizing RA outcome trajectories in a graphical format for motivating patients, enhancing patient understanding of their RA outcomes, and improving communication about medications. Major themes that emerged from the FG analysis as barriers to using the dashboard included inconsistent collection of RA outcomes leading to sparse data in the dashboard and concerns about explaining RA outcomes, especially to patients with fibromyalgia. Other challenges included time constraints and technical difficulties refreshing the dashboard to display real-time data. Methods for integrating the dashboard into the visit varied: some clinicians used the dashboard at the beginning of the visit as they documented RA outcomes; others used it at the end to justify changes to therapy; and a few shared it only with stable patients. CONCLUSIONS: The study provides valuable insights into clinicians perceptions and experiences with the RA PRO dashboard. The dashboard showed promise in enhancing patient-clinician communication, shared decision-making, and overall acceptance among clinicians. Addressing challenges related to data collection, education, and tailoring dashboard use to specific patient populations will be crucial for maximizing its potential impact on RA care. Further research and ongoing improvements in dashboard design and implementation are warranted to ensure its successful integration into routine clinical practice.

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]

Digital agriculture supports farmers' decision making to improve productivity and profitability. However, adoption of digital technology is uneven. Through interviews with 21 medium acreage almond growers and crop consultants in California's Central Valley, we examine barriers to adoption through the lens of technology acceptance models, Technology Acceptance Model (TAM-3) and Unified Theory of Acceptance and Use of Technology (UTAUT-2). Not surprisingly, farmers are willing to adopt technology when profitability and ease of use are shown, with economic returns (either anticipated or demonstrated) from the technology investment serving as the primary factor influencing adoption. Trust operates as a moderating factor to the desire for economic returns that influences adoption. There may be trust, or lack of trust, in technology performance or in the advisors who recommend it. Producer trust is affected by expectations of technology relevance and usefulness, and it is influenced by prior experience. Concerns about data management (e.g., governance, quality, privacy, security) take a back seat to more practical issues such as profitability, leaving producers in an imbalanced position with tech companies who have an interest in their agricultural data. We assert that producer acceptance of data management practices (despite their uncertainty in how to utilize the data being generated) implies that there is a basic level of trust in tech companies' data management practices that is consistent with models of moralistic trust behaviors for precision ag adoption. Our findings contribute to the growing research on digital agriculture that debates the benefits and downsides of digital agriculture. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused constraints on education that takes place face-to-face; thus, the learning process has been conducted online. With this emergence, an application-based learning tool called a Learning Management System (LMS) was created to cater to the requirements of distant students. Therefore, this study explores how SPACE-LMS is used in the Teacher Professional Education Program (TPEP) and how it interacts with the Technology Acceptance Model (TAM) and self-efficacy. This study collected data from TPEP participants in the province of West Sumatra-Indonesia from the 2022 cohort, and 245 individuals actively participated. As the quantitative method, Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis with SmartPLS software was used to test and predict the conceptual model. The empirical findings demonstrate that the readiness of adopting SPACE influences perceived ease of use (PEU) and perceived usefulness (PU). Self-efficacy (SE) influences PEU and intention to use (ITU); PEU influences PU; PEU influences attitudes toward users (ATT); and PU influences ATT. Interestingly, PU had no impact on the ITU. The desire of TPEP students to use the SPACE-LMS is also influenced by their sense of self-efficacy. Thus, this study has both theoretical and practical implications. [ABSTRACT FROM AUTHOR]

Background: The rapid growth of technology forced enormous changes in the provision of healthcare services. Different strategies are used to keep nurses up to date with rapid changes in health systems. Microlearning is one of the new methods of teaching professional skills to health workers. This method is effective in care settings that have many limitations in terms of time and place. However, it is very important to test the acceptability of this method among nurses before practical measures are taken for its widespread use. This study aimed to determine nurses’ acceptance rate of quick response code as a microlearning tool in workplace. Method: This is a cross-sectional study was conducted in medical and surgical wards in hospitals affiliated to Guilan University of Medical Sciences. 185 nurses participated in the study. A number of selected medical devices were labeled with quick response codes containing educational content. The eligible nurses were instructed how to use the QR codes. After two months, they were asked to complete a questionnaire adapted from the technology acceptance model 3. SPSS 21 software was used to analyze the data. Results: 166 nurses and 19 head nurses with mean age of 34.26 ± 8.17 years and mean work experience of 10.46 ± 7.64 years completed the questionnaires. Most participants were female, married, with a bachelor’s degree, worked on rotating shifts, in medical wards. The findings showed that the acceptance of the quick response code as a learning tool was at a moderate level (M = 66.1, SD = 16.6). Statistically, there was no significant relationship between nurses’ demographic characteristics and the total acceptance rate (P > 0.05). However, the analyses at the multivariate level, using multiple linear regression, showed a significant superiority of the total acceptance score in head nurses compared to nurses (b = 7.97, P = 0.047) and in nurses who had previous experience of using quick response codes, compared to colleagues without such experience (b = 5.18, P = 0.036). Based on the coefficient of determination, only 6.1% of the changes in the total acceptance score of quick response codes of nurses are explained by their personal-occupational characteristics (R2 = 0.061). Conclusions: The provision of QR code requirements such as necessary infrastructure and training by the health authorities could increase the acceptance of this tool as a microlearning measure. [ABSTRACT FROM AUTHOR]

While large language models (LLMs) have demonstrated significant potential in medical education, there is limited understanding of medical students' acceptance of LLMs and the factors influencing their use. This study explores medical students' acceptance of LLMs in learning and examines the factors influencing this acceptance through the lens of the Technology Acceptance Model (TAM). A questionnaire survey conducted among Chinese medical students revealed a high willingness to use LLMs in their studies. The findings suggest that attitudes play a crucial role in predicting medical students' behavioral intentions to use LLMs, mediating the effects of perceived usefulness, perceived ease of use, and perceived risk. Additionally, perceived risk and social influence directly impact behavioral intentions. This study provides compelling evidence supporting the applicability of the TAM to the acceptance of LLMs in medical education, highlighting the necessity for medical students to utilize LLMs as an auxiliary tool in their learning process. [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]

Purpose: Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT's impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research. Design/methodology/approach: In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata's structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled. Findings: The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students. Originality/value: This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models' mediating role. Its findings offer invaluable contributions to the field of DE and policymakers. [ABSTRACT FROM AUTHOR]

In an era where technology continually reshapes the landscape of professional practice, it has become relevant to equip engineering students with advanced computational skills beyond programming. This article presents a novel discipline‐based framework designed to integrate advanced computational skills into engineering education. Responding to challenges such as the disconnection between computational abilities and domain‐specific knowledge, and student demotivation due to overwhelming technological challenges, this study aims to validate the impact of the framework on domain learning, computational skill acquisition, and perceived future utility. Implementing a case study approach, we explore the development of high‐performance computing skills within a project‐based learning context in Civil Engineering. Results indicate significant improvements in students' understanding of both computational concepts and the engineering domain, evidenced by enhanced self‐perception and positive Technology Acceptance Model outcomes. The framework facilitated a meaningful connection between computational skills and professional applications, as seen in students' project reflections. Despite the promising results, the necessity for instructors to possess and impart computational knowledge is highlighted as an important factor for successful integration. This study contributes to educational computing research by providing a scalable approach to embedding advanced computational skills in engineering curricula, addressing existing educational challenges, and suggesting directions for future research. [ABSTRACT FROM AUTHOR]

The popularity of electric vehicles offers the opportunity to analyze decision-making processes by examining user behavior. Determining the motivation of the user to use an innovation will guide decision-makers in supporting the innovation in question. This study investigates the factors electric car users in Türkiye consider based on the Technology Acceptance Model. A questionnaire was used to measure Perceived Ease of Use, Perceived Usefulness, and Intention to Use with the external factors of Subjective Norm, Compatibility, and Image. The relationships were analyzed with PLS-SEM established with the participation of 414 electric vehicle users. Subjective Norms and Image directly impact Perceived Usefulness, Perceived Ease of Use, and Intention to Use. It has been determined that Compatibility has a direct effect on Ease of Use and an indirect effect on Usefulness and Intention. According to this study, in which most people are dissatisfied with charging and range issues, the opinion of the social environment and family is the most important external factor affecting intention. Our findings suggest improving the charging station network and technology, as well as implementing informative activities related to the features of electric vehicles, in order to contribute to users' adoption of electric vehicles. [ABSTRACT FROM AUTHOR]

In the context of the global climate change debate, changing consumer awareness and guiding them towards sustainable lifestyles should be key considerations. This study investigates the factors influencing consumers' upcycling behaviors by conducting research and collecting 336 valid questionnaires at the "Eco Blet" sustainable design exhibition and workshop held at Livat Beijing (Ingka Centres Beijing). The survey results revealed that consumers' upcycling behavior is significantly influenced by subjective norms, perceived behavioral control, perceived usefulness, and attitudes. In addition, individuals with higher levels of education and those with annual incomes of less than 100,000 RMB and more than 400,000 RMB are more likely to engage in upcycling. The empirical analysis of consumer upcycling behavior is conducted using structural equation modeling (SEM), and the theory of planned behavior (TPB) and technology acceptance model (TAM) are integrated into a comprehensive framework. This research provides both theoretical support and practical insights for promoting sustainable consumer behaviors, contributing significantly to carbon emission reduction. [ABSTRACT FROM AUTHOR]

In line with the upward trend of applying online video in education, this study examined factors influencing the behavioral intention of children to use video-sharing tools in an integrated elementary curriculum. A total of 222 children from Taiwan participated in this study, wherein a questionnaire survey extending a technology acceptance model was conducted to gather data after a cross-classroom video-sharing activity. Results showed that the three external factors of social presence, perception of enjoyment, and perception of visual attractiveness positively affect children's behavior intention toward using video-sharing tools. The resultant joy and enhanced interest of this process will improve their learning experience and usage attitude. This study further examined the role of gender and digital divides in children's adoption of video-sharing tools. The results of multigroup analysis revealed that perceived enjoyment is the dominant external predictor, especially for females and disadvantaged children. The implication of these three external factors and the influence of mobile devices are also discussed. [ABSTRACT FROM AUTHOR]

In 2023, European governments submitted a proposal to comprehensively ban per‐ and polyfluoroalkyl substances (PFAS), prompting a shift toward PFAS‐free alternatives. However, recent research has emphasized the need for an integrated approach to chemical assessment and environmental management rather than abrupt PFAS substitution, as alternatives may pose similar or greater risks. The PFAS Guide was developed to aid corporations in this critical transition. Its goal is to simplify PFAS identification, safe substitution, and gradual elimination. This study applies the Technology Acceptance Model (TAM) to assess how perceived usefulness (PU) and ease of use of the PFAS Guide impact corporate intentions to adopt it. Our analysis, based on responses from 104 European companies, demonstrates a positive link between PU, ease of use, and a company's intent to adopt the PFAS Guide. This underscores the importance of corporations perceiving the PFAS Guide as a valuable and user‐friendly resource, given its substantial impact on PFAS phase‐out. Descriptive statistics revealed an interesting finding: 51.9% of the participants fell into the "other" group, as outlined in the PFAS Guide. This raises questions regarding the grouping of companies into various sectors. Based on our results, we propose improvements to the PFAS Guide by broadening sector representation to encompass a more diverse range of industries with sector‐specific guidance, ensuring content relevance, and accentuating user experience using interactive resources. Future research should focus on the actual adoption and use of the guide to gain deeper insights into adoption rates and long‐term PFAS Guide utilization. Furthermore, additional investigations should incorporate subgroup analyses, data triangulation, and a longitudinal approach to enhance our understanding of the factors that support and hinder integrated chemical assessment and environmental management. These research efforts are pivotal in guiding chemical policy and management practices, contributing to a PFAS‐free future. Integr Environ Assess Manag 2024;20:2175–2188. © 2024 The Author(s). Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). Key Points: The study reveals a strong correlation between perceived usefulness and ease of use of the PFAS Guide with a company's intention to adopt it, emphasizing its crucial role in supporting effective PFAS phase‐out strategies.In the PFAS Guide, 51.9% of participants fell into the "other" group, indicating challenges with sector‐based categorization and underscoring the need for more nuanced classification methods.Recommendations include broadening sector representation, ensuring content relevance, and enhancing user experience to facilitate PFAS Guide adoption among corporations transitioning to PFAS‐free alternatives.Focus on actual adoption rates, subgroup analyses, and longitudinal approaches is essential to inform policy decisions and advance sustainable chemical management practices toward a PFAS‐free future. [ABSTRACT FROM AUTHOR]

Informed by Charles Wright Mills' sociological imagination and the Technology Acceptance Model, this qualitative study was undertaken to report the emergence of Shadow Education (SE) in teacher education in Zimbabwe amid COVID-19. WhatsApp discussions and Google interviews generated data from 12 lecturers and 12 students, selected using snowball sampling. The thematically analysed data reveal that behind the lecturers' and students' engagement in SE were wider societal problems. Lecturers engaged in SE not only because they were hungry for money but were knee-deep sunk in poverty and incapacitated to support their families. Rather than adopting online teaching and learning to continue education during COVID-19, students who lacked technological skills disapproved of it and turned to SE. The study recommends that employers must review lecturers' remunerations to motivate them to provide quality online teaching and learning. This study extends the conversation on SE, which had been confined to primary and high schools. [ABSTRACT FROM AUTHOR]

This study explores factors that influence English as a foreign language (EFL) learners' behavioral intention to adopt ChatGPT for language learning. To explore this topic, a research model based on the technology acceptance model (TAM) was proposed and used to evaluate hypotheses on the relationship between model constructs. The proposed model includes the constructs perceived usefulness (PU), perceived ease of use (PEoU), behavioral intentions, and computer self-efficacy. In addition, the study examines the effect of the moderating variables, gender and education level, on the relationships between the proposed model constructs. Structural equation modeling (SEM) was applied to the data of 211 EFL learners to analyze causal relationships between the model constructs and the effect of the moderating variables. Findings indicated that EFL learners' behavioral intentions to adopt ChatGPT for language learning were greatly impacted by their PU. In addition, computer self-efficacy was a powerful determinant influencing learners' PEoU and PU. Furthermore, education level had no significant moderating effect on learners' perceptions or intentions to adopt ChatGPT. However, gender only moderated the relationship between computer self-efficacy and PEoU, with the relationship being stronger for women. All the proposed hypotheses on the relationships between the model constructs were supported; therefore, this study contributed to the validation of TAM for predicting learners' acceptance and adoption of ChatGPT for language learning. [ABSTRACT FROM AUTHOR]

What drives consumers to adopt mobile technologies has been a significant research topic in hospitality and tourism literature. The Technology Acceptance Model (TAM) has been widely adopted to examine this topic. Meta-analytic structural equation modeling (MASEM) was conducted to assess the efficacy of the TAM in estimating consumers' intention to adopt these technologies in hospitality and tourism contexts. The moderating effects of cultural differences (Eastern vs. Western) and research contexts (hospitality vs. tourism) were also examined. Based on 33 individual samples (N = 13,635), the results indicated that: "perceived usefulness" (PU) has the strongest impact, "perceived ease of use" (PEOU) has stronger effects on PU and attitude in the context of Eastern culture compared to Western culture, and the relationship between "attitude" and "intention" was stronger in the context of hospitality than in the context of tourism. Implications for hospitality and tourism researchers and practitioners are discussed based on these findings. [ABSTRACT FROM AUTHOR]

The purpose of this study is to determine the antecedents and consequence of social media marketing (SMM) for small and medium enterprises (SMEs) and to empirically find out if SMM provides strategic competitive advantages to the SMEs. The study also examines the mediating role of utilitarian value and hedonic value for impacting strategic competitive advantages. Finally, the study investigates the role of leadership support of the SMEs. With the support of extant literature review, motivational theory, technology acceptance model, and other related theories, a conceptual model has been developed. The theoretical model has been validated using partial least square – structural equation modeling (PLS-SEM) with a survey from Indian small and medium enterprises. The research study shows that SMM impacts positively to both utilitarian value and hedonic value. The explanative power of the proposed empirically validated model is 69%. [ABSTRACT FROM AUTHOR]

Advertising was once touted as a 'big boys' marketing tool, but the advent of the Internet has led to the emergence of online advertising, which has benefitted marketing organizations of all sizes, especially small and medium enterprises (SMEs), for 20 years since the new millennium. However, the emergence and proliferation of digital natives as a new generation of consumers necessitate further research to ensure the continued attractiveness, effectiveness, and relevance of online advertising. Furthermore, there is a need to consolidate the multifaceted nature of technology and media in online advertising and the corresponding behavior enacted by consumers, particularly digital natives, today. In this regard, this paper endeavors to examine the perceptions and reactions of digital natives toward online advertising using the theory of planned behavior, technology acceptance model, and uses and gratifications theory as an integrated theoretical lens to guide this examination. Using covariance structural equation modeling on a sample of 380 digital natives, this paper finds that the ease of use, usefulness, entertainment gratification, credibility, design, and personalization of online advertisement positively influence the attitude of digital natives toward online advertisement. However, assurance from online advertisement did not produce any significant effect, a unique finding that exemplifies the confidence that digital natives exhibit in digital environments as a self-assured generation. Finally, this paper finds that the attitude and subjective norms among digital natives toward online advertisement and the security and responsiveness of the website of the online advertised product positively influence the intention of digital natives to purchase the online advertised product. The implications of these findings for theory and practice as well as its limitations and future research directions conclude the paper. [ABSTRACT FROM AUTHOR]

Purpose: Augmented reality (AR) is an emergent technology that has been impacting and beneficial to various industries. This is especially the case in the tourism industry since the COVID-19 crisis. To enable and enhance the museum experience, AR technology can be used as a tool to manage visitors' experiences and adapt to the digital transformation of industries. This research work aims to explore the acceptance of museum visitors for the adoption of this technology. For this purpose, the technology acceptance model (TAM) is used as the research lens. Design/methodology/approach: The authors collected 316 responses from a survey handed out to prior visitors of immersive exhibitions shown via AR at the Atelier des Lumières in Paris and analyzed them through a structural equation model approach. Findings: The study's findings explain the behavior of visitors when attending immersive exhibitions according to the TAM and highlight two new constructs that need to be considered when using the TAM with AR technology: user satisfaction and social mimetism. Originality/value: The study's findings support that implementing AR technology in the museum industry provides great opportunities for the tourism industry to recover from the economic crisis that followed from the COVID-19 health crisis. The authors identified new thriving concepts in the 21st century with the rise of social media, such as social mimetism, that propels visitors to have a positive attitude and intention to attend immersive exhibitions. [ABSTRACT FROM AUTHOR]

Background: The use of ChatGPT among university students has gained a recent popularity. The current study aimed to assess the factors driving the attitude and usage of ChatGPT as an example of generative artificial intelligence (genAI) among university students in the United Arab Emirates (UAE). Methods: This cross-sectional study was based on a previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. The self-administered e-survey was distributed by emails for students enrolled in UAE universities during September-December 2023 using a convenience-based approach. Assessment of the demographic and academic variables, and the TAME-ChatGPT constructs' roles in ChatGPT attitude and usage was conducted using univariate followed by multivariate analyses. Results: The final study sample comprised 608 participants, 91.0% of whom heard of ChatGPT while 85.4% used ChatGPT before the study. Univariate analysis indicated that a positive attitude to ChatGPT was associated with the three TAME-ChatGPT attitude constructs namely, lower perceived risks, lower anxiety, and higher scores on the attitude to technology/social influence. For the ChatGPT usage, univariate analysis indicated that positive attitude to ChatGPT use was associated with being male, Arab in nationality, and lower point grade average (GPA) as well as the four ChatGPT usage constructs namely, higher perceived usefulness, lower perceived risks of use, higher scores on the behavior/cognitive construct and higher scores on the ease-of-use construct. In multivariate analysis, only TAME-ChatGPT constructs explained the variance in attitude towards ChatGPT (80.8%) and its usage (76.9%). Conclusion: The findings indicated that ChatGPT usage is commonplace among university students in the UAE. The determinants of use included the perceived usefulness, lower perceived risks, cognitive and behavioral factors, perceived ease of use, while the attitude was determined by lower perceived risks, lower anxiety, and higher scores for attitude to technology/social influence. These factors should be considered for understanding the motivators for successful adoption of genAI including ChatGPT in higher education. [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 explores the factors influencing the acceptance of ChatGPT, an artificial intelligence chatbot, for English Language Teaching (ELT) among Iranian EFL (English as a Foreign Language) teachers. The research framework is grounded in the Technology Acceptance Model (TAM), augmented with external factors pertaining to system characteristics and individual factors. A survey questionnaire was administered to 234 Iranian EFL teachers to collect data for analysis. Quantitative methods were employed to analyze the gathered data. The findings substantiated 13 of the 14 hypothesized relationships, unveiling significant associations among multiple variables. These relationships encompassed perceived ease of use (PEOU) and perceived usefulness (PU), PEOU and behavioral intention to use (BI), PU and BI, perceived system quality (PSQ) and PU, PSQ and PEOU, online course design (OCD) and PU, PSQ and PEOU, perceived enjoyment (PE) and PEOU, PE and PU, PE and BI, perceived self-efficacy (PSE) and PU, PSE and PEOU, and subjective norm (SN) and PU, SN and PEOU. However, no statistically significant correlation emerged between OCD and PEOU. The implications of these findings are discussed, and suggestions for future research are presented. [ABSTRACT FROM AUTHOR]

Mobile learning has gained significant recognition for its beneficial effects on learning across various dimensions. Nonetheless, ensuring consistent learner acceptance of mobile learning remains a critical factor to address. This meta-analysis study is the first comprehensive examination of critical antecedents impacting learners' perceived usefulness and perceived ease of use of mobile learning within the Technology Acceptance Model. This study undertook a comprehensive analysis of prior research conducted in both English and Chinese languages during the last 22 years. The aim was to build the Integrated Mobile Learning Acceptance Model utilizing a one-stage meta-analysis structural equation model. Five major antecedents of perceived usefulness and perceived ease of use were identified, and the moderating effects of education level, region, and culture were revealed. The resulting model provides a cohesive framework for understanding the factors that influence learners' intention to use mobile learning across various contexts. At the same time, the results of the study contribute to the advancement of theory in mobile learning acceptance and have practical implications for the design and evaluation of mobile learning. [ABSTRACT FROM AUTHOR]

Introduction: This study explores the implementation and evaluation of OwlMentor, an AI-powered learning environment designed to assist university students in comprehending scientific texts. OwlMentor was developed participatorily and then integrated into a course, with development and evaluation taking place over two semesters. It offers features like documentbased chats, automatic question generation, and quiz creation. Methods: We used the Technology Acceptance Model to assess system acceptance, examined learning outcomes, and explored the influence of general self-efficacy on system acceptance and OwlMentor use. Results: The results indicated complex relationships between perceived ease of use, perceived usefulness, and actual use, suggesting the need for more dynamic models of system acceptance. Although no direct correlation between OwlMentor use and learning gains was found, descriptive results indicated higher gains among users compared to non-users. Additionally, general selfefficacy was strongly related to perceived usefulness, intention to use, and actual use of the system. Discussion: These findings highlight the importance of aligning AI tools with students' needs and existing learning strategies to maximize their educational benefits. [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]

Background: Simulation training provides safe environment for skill acquisition and retention. This study addresses a critical challenge in Africa – umbilical cord and placenta management after childbirth – aiming to bridge theoretical learning with practical experiences through simulation. We realized a new low-cost high-fidelity simulator of placenta and umbilical cord. We conducted a needs-based training course for nursing and midwifery students at St. Luke Hospital of Wolisso, Ethiopia, to validate our new simulator and compare its acceptability and teaching effectiveness with other two simulators (conventional low-fidelity model and human placenta). Methods: We surveyed St. Luke Hospital medical experts to obtain their feedback on the new simulator's face, content, and usability. We carried out a simulation training course for 67 students who received theoretical lectures and simulation courses being divided into three groups according to the simulator used. We assessed the simulators' user acceptability using the Technology Acceptance Model (TAM) and compared the final objective evaluations by tutors between groups. Results: Experts confirmed the new simulator's fidelity, material quality, and usability. Students training on the new simulator demonstrated higher objective scores and perceived it as more useful and user-friendly compared to human placenta, while there was no difference between conventional simulator and human placenta in the TAM items. Conclusion: We validated a new high-fidelity simulator developed by the Sant'Anna School of Advanced Studies in Pisa, Italy, using the TAM scale and robust statistical methods, thanks to a successful collaboration with St. Luke's Hospital in a simulation training course where students achieved higher objective scores and perceived the simulator as more useful and easier to use than a real human placenta, suggesting significant educational benefits and potential for future research. [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]

The emergence of smartphone applications has affected all types of industries. Rapid smartphone adoption has introduced a variety of mobile applications into the consumer market, transforming the way consumers perform various daily tasks and activities. As is the case in the tourism industry, through the positive features provided by smart phone applications, the tourism sector constitutes a major factor in Jordanian national income. Today, Jordan has the highest percentage of mobile application users, with high usage rates of mobile application features. However, tourism in Jordan is still suffering. Therefore, this study was conducted to examine the influence of smartphone application features, perceived usefulness, ease of use, and word of mouth (WOM) on the intention to use mobile applications in the Jordanian tourism industry. This study adopted a quantitative approach. It was based on a sample collected from tourists in Jordan using a self-administered questionnaire. A total of 420 copies of the questionnaires were distributed. The research model was empirically tested using structural equation modeling (SEM). SEM findings revealed that approximately 80% of the variance in intention to use mobile apps was accounted for by mobile app features, perceived usefulness, perceived ease of use, and positive WOM. The results showed that perceived usefulness and perceived ease of use were significantly related to WOM. The results of this research provide managerial guidelines for developing effective strategies for mobile applications in the Jordanian tourism industry. [ABSTRACT FROM AUTHOR]