Effect of academic discipline on technology acceptance

With the growing use of technology in medical education, a framework is needed to evaluate learners' and educators' acceptance of these technologies. In this context, the Technology Acceptance Model (TAM) offers a valuable theoretical framework, providing insights into the determinants influencing users' acceptance and adoption of technology. This review aims to systematically synthesize the body of research in medical education that uses the TAM. An electronic literature search was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach in February 2024 on the Embase, MEDLINE, PsycINFO, PubMed, and Web of Science databases, yielding 680 articles. Upon elimination of duplicates and applying the exclusion criteria, a total of 39 articles were retained. To evaluate the quality of the study, the Medical Education Research Study Quality Instrument score was calculated for each analysis with a qualitative component. Studies using TAM in medical education began in 2010, with the model's application relatively rare up to 2016. Most of the studies were quantitative, operationalizing the TAM as a survey instrument, but it was also used as a research framework in qualitative data analysis. Structural equation modeling, descriptive analysis, and correlation analysis were the most common data analysis approaches in the studies. E-learning and mobile learning were the predominant learning interventions explored, but there were indications that novel learning technologies such as augmented reality, virtual reality, and 3D printing were being investigated. The study's findings reveal an expanding scholarly engagement with using TAM in medical education. Although the TAM has been mostly used as a survey instrument, it can also be adapted as a qualitative research framework to analyze data. This systematic review provides a foundation for future research to understand the factors influencing users' acceptance of technology, especially in medical education.

One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM). This article reviews published research on TAM use in health information systems development and implementation with regard to application areas and model extensions after its initial introduction. An electronic literature search supplemented by citation searching was conducted on February 2017 of the Web of Science, PubMed, and Scopus databases, yielding a total of 492 references. Upon eliminating duplicates and applying inclusion and exclusion criteria, 134 articles were retained. These articles were appraised and divided into three categories according to research topic: studies using the original TAM, studies using an extended TAM, and acceptance model comparisons including the TAM. The review identified three main information and communication technology (ICT) application areas for the TAM in health services: telemedicine, electronic health records, and mobile applications. The original TAM was found to have been extended to fit dynamic health service environments by integration of components from theoretical frameworks such as the theory of planned behavior and unified theory of acceptance and use of technology, as well as by adding variables in specific contextual settings. These variables frequently reflected the concepts subjective norm and self-efficacy, but also compatibility, experience, training, anxiety, habit, and facilitators were considered. Telemedicine applications were between 1999 and 2017, the ICT application area most frequently studied using the TAM, implying that acceptance of this technology was a major challenge when exploiting ICT to develop health service organizations during this period. A majority of the reviewed articles reported extensions of the original TAM, suggesting that no optimal TAM version for use in health services has been established. Although the review results indicate a continuous progress, there are still areas that can be expanded and improved to increase the predictive performance of the TAM.

Data security and consumer trust in FinTech innovation in Germany

:The rapid growth of investment in information technology (IT) by organizations worldwide has made user acceptance an increasingly critical technology implementation and management issue. While such acceptance has received fairly extensive attention from previous research, additional efforts are needed to examine or validate existing research results, particularly those involving different technologies, user populations, and/or organizational contexts. In response, this paper reports a research work that examined the applicability of the Technology Acceptance Model (TAM) in explaining physicians’ decisions to accept telemedicine technology in the health-care context. The technology, the user group, and the organizational context are all new to IT acceptance/adoption research. The study also addressed a pragmatic technology management need resulting from millions of dollars invested by healthcare organizations in developing and implementing telemedicine programs in recent years. The model’s overall fit, explanatory power, and the individual causal links that it postulates were evaluated by examining the acceptance of telemedicine technology among physicians practicing at public tertiary hospitals in Hong Kong. Our results suggested that TAM was able to provide a reasonable depiction of physicians’ intention to use telemedicine technology. Perceived usefulness was found to be a significant determinant of attitude and intention but perceived ease of use was not. The relatively low R-square of the model suggests both the limitations of the parsimonious model and the need for incorporating additional factors or integrating with other IT acceptance models in order to improve its specificity and explanatory utility in a health-care context. Based on the study findings, implications for user technology acceptance research and telemedicine management are discussed.

The world has changed a lot in the past years. The rapid advances in technology and the changing of the communication channels have changed the way people work and, for many, where do they work from. The Internet and mobile technology, the two most dynamic technological forces in modern information and communications technology (ICT) are converging into one ubiquitous mobile Internet service, which will change our way of both doing business and dealing with our daily routine activities. As the use of ICT expands globally, there is need for further research into cultural aspects and implications of ICT. The acceptance of Information Technology (IT) has become a fundamental part of the research plan for most organizations (Igbaria 1993). In IT research, numerous theories are used to understand users’ adoption of new technologies. Various models were developed including the Technology Acceptance Model, Theory of Reasoned Action, Theory of Planned Behavior, and recently, the Unified Theory of Acceptance and Use of Technology. Each of these models has sought to identify the factors which influence a citizen’s intention or actual use of information technology. Drawing on the UTAUT model and Flow Theory, this research composes a new hybrid theoretical framework to identify the factors affecting the acceptance and use of Mobile Internet -as an ICT application- in a consumer context. The proposed model incorporates eight constructs: Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influences, Perceived Value, Perceived Playfulness, Attention Focus, and Behavioral intention. Data collected online from 238 respondents in Saudi Arabia were tested against the research model, using the structural equation modeling approach. The proposed model was mostly supported by the empirical data. The findings of this study provide several crucial implications for ICT and, in particular, mobile Internet service practitioners and researchers

This study documents variation across industries in creditors’ perceptions of the risk of information technology (IT) investments. The associations we document between IT investments and both initial bond ratings and yield spreads suggest that credit-rating agencies and bond investors consider IT investments in automate and informate industries less risky than those in transform industries. We document that IT investments are associated with more volatile future cash flows in transform industries than in automate or informate industries. The findings indicate that bond investors prefer IT investments in automate industries, where the cash flow payoffs to IT investment are smaller but more stable than in transform industries. Overall, these findings provide the important insight that bondholders’ perceptions of IT investments vary across industries based on bondholders’ aversion to the riskiness and the lack of collateralizability of IT investments. Senior managers should recognize that IT investments have implications for both operational performance and financing costs (e.g., costs of debt) of the firm, and they should consider the potential financial benefits of increased IT capabilities, such as the willingness of corporate bond investors to accept lower financing costs.

Aim of this paper is to review technology (IS) acceptance theories and models, recognizing empirical evidence available to support the suitability of each theoretical model in explaining academicians’ acceptance of online learning technology. Understanding the factors influencing system usage is crucial for decision-makers to recognize potential user needs and concerns, which could be addressed during the development phase of a system. Thus, for decades, researchers have been trying to understand why people accept new technologies. As a result, a wide variety of theories and models explaining the concept of technology acceptance. Some prominent theoretical models explaining technology acceptance are, “Theory of Reasoned Action”, “Diffusion of Innovation theory”, “Theory of Planned Behavior”, “Social Cognitive Theory”, “Technology Acceptance Model”, “Model of PC Utilization”, “Motivational Model”, “Unified Theory of Acceptance and Use of Technology”, “UTAUT 2”, “UTAUT 3”. The concept of academic’s acceptance of online learning technology can be explained through several determinants that are operationalized through above information systems models.

This paper develops Davis technology acceptance model by adding two criteria of e-readiness assessment. For small and medium size enterprises, the paper evaluates the credit of developed model in studying the efficient factors in internet technology acceptance, which is one of the most applicable communication tools in e-commerce. The added factors, taken from models and means of e-readiness assessment, are ”existing information technology infrastructures” as well as ”organization's training”. The authors study 45 small and medium size enterprises in the city of Tehran, which are active in information technology products and services. Using Lisrel structural equation modelling, it is shown that there is a meaningful relationship between the added factors and the variables indicating internet network usage. Therefore, the better factors of e-readiness assessment lead to the higher acceptance level of electronic communication tools in e-commerce.

Investigation about technology acceptance (TA) remains one of the most important research field in information system literature, but the “founding father models” originated the notion of TA in a completely different scenario. We argue that, in a world where IT artifacts disseminate thanks to—and not only because of—unprecedented social media penetration, the TA models must be revisited and upgraded. In this paper, the construct of trust plays a central role, because it allows the acknowledgement of the influencing role played by institutions and organizations that have reached a credible and sustainable presence in the information technology market. We started from the TAM and UTAUT models, as departing platforms of TA models, being the mostly widely cited in the recent literature. This paper defines and explores the theoretical contribution of technology-mediated trust, as a new moderating factor adding value to the UTAUT model. Implications for future empirical research are finally presented.

User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM. This was a descriptive- analytical study in which a sample of 187 personnel from a population of 363 personnel, working in medical records departments of hospitals affiliated to Tehran University of Medical Sciences, was selected. Users' perception of applying information technology was studied by a researcher-developed questionnaire. Collected data were analyzed by SPSS software (version16) using descriptive statistics and regression analysis. The results suggest that TAM is a useful construct to assess user acceptance of information technology in the context of HIM. The findings also evidenced the perceived ease of use (PEOU) and perceived usefulness (PE) were positively associated with favorable users' attitudes towards HIM. PU was relatively more associated (r= 0.22, p = 0.05) than PEOU (r = 0.014, p = 0.05) with favorable user attitudes towards HIM. Users' perception of usefulness and ease of use are important determinants providing the incentive for users to accept information technologies when the application of a successful HIM system is attempted. The findings of the present study suggest that user acceptance is a key element and should subsequently be the major concern of health organizations and health policy makers.

This study aims to examine the relationship between university students’ views of distance education system and their computer self-efficacy in terms of some variables using Information Systems Success Model (ISSM) and Technology Acceptance Model (TAM). The study is important since the studies on the distance education system made with Unified Learning Style Model (ULSM) are limited in the COVID-19 pandemic period when distance education has become widespread. The views of university students on distance education and computer self-efficacy were examined in the study in accordance with the causal-comparative design, taking into account the variables of gender, year of study and academic achievement. Then, the correlation between the Technology Acceptance Model, participants’ achievement levels and computer self-efficacy was explained. 895 students attending Necmettin Erbakan University Faculty of Applied Sciences undergraduate program participated in the study. While gathering data, previously tested Technology Acceptance and Information Systems Success Model Integration and Computer Self-efficacy scales were used by combining the components from both models.

Prior research based on the Technology Acceptance Model 2 (TAM2) has largely emphasized technological and social factors while offering limited insight into how learner motivation translates system acceptance into meaningful learning outcomes. To address this gap, this study integrates TAM2 core constructs, namely Perceived Ease of Use, Perceived Usefulness, and Social Influence, with key motivational drivers, including hedonic, intrinsic, and extrinsic motivation, to examine their combined effects on behavioral intention, learning motivation, and learning achievement in e-learning contexts. Data were collected from 300 e-learning users using a Likert-scale questionnaire and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The results reveal that Perceived Ease of Use strongly influences Perceived Usefulness (β = 0.611, p < 0.001), indicating that simplifying system usability is fundamental for users to recognize the value of e-learning platforms. Perceived Usefulness and Social Influence significantly predict behavioral intention, while motivational factors collectively exert a substantial effect on learning motivation, which in turn strongly enhances learning achievement (β = 0.552, p < 0.001). The proposed model explains a substantial proportion of variance in learning motivation (64%) and learning achievement (55%), demonstrating good predictive relevance within the studied context. Mediation analysis further confirms that learning motivation serves as a key mechanism through which technology acceptance and motivational factors translate into improved learning outcomes. A key practical implication is that e-learning designers should prioritize not only system usefulness and ease of use but also hedonic elements that enhance enjoyment, as this jointly foster learning motivation and ultimately drive learning achievement.

A respectable amount of work dealing with Technology Acceptance Model (TAM) clearly indicates a popularity of TAM in the field of technology acceptance in general. Nevertheless, there is still a gap in existing knowledge regarding representative academic literature that underlie research on TAM in educational context. The main objective of this systematic literature review is to provide an overview of the current state of research efforts on TAM application in the field of learning and teaching for a variety of learning domains, learning technologies and types of users. Through systematic search by the use of EBSCO Discovery Service, the review has identified 71 relevant studies ranged between 2003 and 2018. The main findings indicate that TAM and its many different versions represent a credible model for facilitating assessment of diverse learning technologies. TAM's core variables, perceived ease of use and perceived usefulness, have been proven to be antecedent factors affecting acceptance of learning with technology. The paper identifies some gaps in current work and suggests areas for further investigation. The results of this systematic review provide a better understanding of TAM acceptance studies in educational context and create a firm foundation for advancing knowledge in the field. Practitioner Notes What is already known about this topic Technology acceptance research in teaching and learning context has become an attractive trend. A number of reviews and meta‐analysis focused on specific topics related to technology acceptance in education have been conducted. The Technology Acceptance Model (TAM) is the key model in understanding predictors of human behaviour towards potential acceptance or rejection of the technology. What this paper adds The state of current research on Technology Acceptance Model application in educational context lacks comprehensive reviews addressing variety of learning domains, learning technologies and types of users. The paper presents systematic review of relevant academic literature on Technology Acceptance Model (TAM) in the field of learning and teaching. The paper provides empirical evidence on the predictive validity of the models based on TAM presented in selected literature. The findings revealed that TAM, along with its many different versions called TAM++, is a leading scientific paradigm and credible model for facilitating assessment of diverse technological deployments in educational context. TAM's core variables, perceived ease of use and perceived usefulness, have been proven to be antecedent factors that have affected acceptance of learning with technology. Implications for practice and/or policy The systematic review adds to the body of knowledge and creates a firm foundation for advancing knowledge in the field. By following the most common research objectives and/or by filling current gaps in applied research methods, chosen sample groups and types of result analysis, an own study could be conducted. Future research may well focus on identifying additional external factors that could further explain acceptance and usage of various learning technologies.

MSMEs have developed and become a key pillar in the national economy. Nevertheless, women's participation in MSMEs is still limited, despite the fact that women have a lot of potential to boost the economy through SME ownership. The positive attitude of women in MSMEs towards the adoption of technology is among the parameters that might have influenced their usage of technology. In the present day of transforming communication and information technologies, the acceptability of technology is becoming increasingly essential for the continuing development of MSMEs. The aim of this study is to use the Technology Acceptance Model (TAM) to examine how women's participation in MSMEs relates to their acceptance of technology in the Koto Tangah Padang region. A paradigm called the Technology Acceptance Model (TAM) is used to describe how people understand and utilize information technology systems. The method used involves the application of SEM PLS 4.0. Primary data was collected through questionnaires and structured interviews. The results of the research indicate that women in MSMEs' degree of trust in technology is significantly influenced by their perceptions of perceived security and simplicity of use. Additionally, It has been proven to be the most influential factor influencing women in MSMEs' intentions to use technology for their businesses is trust.

Assessing driver acceptance of technology that reduces mobile phone use while driving: The case of mobile phone applications