Technology Acceptance Model Variables Research Articles

USER ACCEPTANCE OF VIRTUAL COMMERCE ON METAVERSE INSIGHTS FROM INNOVATION DIFFUSION THEORY (IDT) AND TECHNOLOGY ACCEPTANCE MODEL

In recent years, technological advancements have also influenced consumer behavior. One of the most significant developments in this regard is the metaverse. The metaverse, which has frequently captured the interest of experts, is a technological system that forms the basis of the current research. In this context, the present study examines the factors that affect the intention to use and acceptance of the metaverse system. The study constructs a research model using the Innovation Diffusion Theory (IDT) and the Technology Acceptance Model (TAM) to investigate user acceptance of conducting e-commerce activities within the metaverse system. Within this framework, structural equation modeling has been utilized to explain the acceptance of usage by potential metaverse users. The proposed research model has been analyzed using the Smart PLS 3 software package. Among the independent variables of the research, a positive and significant relationship has been found between relative advantage as a mediator and the main variables of TAM. However, no significant relationship has been identified between complexity, another independent variable, and the main variables of TAM. Additionally, a significant relationship has been established between perceived compatibility and perceived ease of use. In this context, from a consumer perspective, when evaluated experientially (effort expended), the shopping experience in the metaverse system shows similarities with physical shopping, while no relationship has been found in terms of performance. The most significant contribution of the research to the literature is that attitude and intention, which are the most important antecedents of active usage of metaverse systems, exhibit a positive and significant relationship with all the variables in the relationship.

Evaluation Of Digital Banking Application Adoption Based On The Technology Acceptance Model (Tam)

In this digital era, digital banking has become an integral part of the banking sector. Users decisions to adopt and use digital banking services are significantly influenced by their perceptions and attitudes toward this technology. This research aims to analyze the factors that influence users' intention to use digital banking, utilizing the Technology Acceptance Model (TAM) as the theoretical framework. The study involves 100 respondents randomly selected through the method of random sampling. Data will be collected via an online questionnaire comprising TAM variables, including perceived usefulness and perceived ease of use. The data analysis will be conducted using the Partial Least Square Structural Equation Modeling (PLS-SEM) statistical method. The findings of this research are expected to provide a deeper insight into the factors affecting the adoption of digital banking and can serve as a guide for banks and financial service providers in enhancing the acceptance of digital banking technology among users.

Structured Exposure Achieves High Acceptance of Immersive Technology Among Medical Students and Educators.

Virtual reality (VR) is a potent educational tool with untapped potential in medical training. However, its integration into medical schools faces challenges such as cybersickness and hesitancy among medical students and professionals. Notably, there has been no systematic assessment of the acceptance of medical educational VR applications by both students and educators. In our single-center study, we enrolled 133 medical students and 14 medical educators. Following a practical demonstration of the established VR anatomy application, Sharecare YOU VR, participants completed a self-reporting survey based on the Technology Acceptance Model (TAM), exploring user acceptance of information technologies and focusing on perceived usefulness (PU), perceived ease of use (PEU), and attitude toward using (ATU). We also sought insights into potential future applications of VR in medical education. Our findings indicate a high level of acceptance among medical students and educators upon structured exposure to VR with significantly positive responses for all three TAM variables (PU, PEU, and ATU). Intriguingly, hands-on experience influenced acceptance. Students envisioned VR's benefits in anatomy, surgery, emergency medicine, and communication skill training with patients. Both students and educators believed that VR could enhance traditional approaches and complement the existing curriculum, anticipating improved preparedness for medical students through VR training applications. In conclusion, our results demonstrate the receptivity of both students and educators to immersive technologies, including VR, in medical education. Importantly, the data suggest that the adoption of VR in this field would be welcomed rather than resisted, potentially enhancing students' self-efficacy and enriching the medical school curriculum.

Internet of things in public healthcare organizations: the mediating role of attitude

<span lang="EN-US">Internet of things (IoT) is a promising technology to face the challenges of COVID19 and enhance the capacities of public hospitals. However, few of the literature examined the behavioural intention (BI) of patients to use the IoT wearable health device (IoTWHD). This paper aims to examine the factor that affect the BI toward using the IoTWHD. The study proposes that variables of Technology acceptance model (TAM3) along with unified theory of acceptance and use of technology (UTAUT) can explain the BI. The population is the patients of public hospitals. Convivence sampling was deployed to collect the data using a questionnaire. 161 respondents participated in this study. The finding of Smart Partial Least Square showed that subjective norms (SN) affected the perceived usefulness (PU). Perceived enjoyment (PE) affected the perceived ease of use (PEOU). Further, PU, PEOU and perceived security (PS) affected the BI to use IoTWHD. Attitude mediated the effect of PU and PEOU on BI. More positive word of mouth are needed to enhance the perception of patients about BI to use IoTWHD in public health organizations.</span>

The Effect of Technology Acceptance Model (TAM) Challenges in Building Information Modelling (BIM) Implementation in Relation to Malaysian Government Mandate

Technology Acceptance Model (TAM) is essential to the field of Building Information Modelling (BIM) implementation especially in the construction industry since the government mandate, it has become the key towards this perception as an obstacle of success. While innumerable studies focus on the way contractors, consultants and stakeholder acceptance towards BIM, therefore, it becomes a method for improvisation. However, up until present, limitation have been found for government staffs and perceptions regarding this manner. As to affirm, the government as well as its organization are the backbone of BIM utilization for every country. Research has shown that BIM is also influenced by the one who holds the authority by government mandating its usage strategies, and that representations are generally more effective than appeals from other users. Thus, this study aims and focuses on examines the emerging role of government organizations in the context of perceptions and acceptance towards BIM as well as the readiness of government mandate in facing challenges for Building Information Modelling (BIM) implementation in Malaysia. In this study, an online survey was distributed to government staffs that currently uses BIM across Malaysia. The obtained data were analyzed by statistical tools of IBM SPSS 28 to empirically test the correlation and impact of the proposed variable. The results showed that the TAM for BIM and well-structured government mandate will affect the challenges in BIM implementation. This paper has been organised in the following way. Starts with introduction, literature review, methodology, results and discussions. Finished with conclusions accordingly. Additionally, acceptance of BIM technology would initiate of minimizing the challenges faced by government staffs in Malaysia that involve in BIM. Good obtained values for TAM and government mandate variables in explanatory power, concluded this study. Further research is needed in this area of study to identify well-planned roadmap and proper guideline for government staffs in strengthening the effectiveness of BIM implementation in the future.

Meta-analysis of technology acceptance for mobile and digital libraries in academic settings using technology acceptance model (TAM)

Purpose The purpose of this paper is to measure the relationship of technology acceptance model (TAM) variables (PEOU and PU) with behavioral intention (BI) and attitude in mobile and digital libraries context. This study also examines the relationship of external variables (information quality and system quality) with TAM variables (PEOU and PU) in mobile and digital libraries context. Design/methodology/approach This meta-analysis was performed through PRISMA-P guidelines. Four databases (Google Scholar, Web of Science, Scopus and LISTA) were used for searching, and the search was conducted according to defined criteria. Findings Findings of this study revealed a large effect size of PU and PEOU with BI. There was also a large effect size of PU and PEOU with attitude. A medium effect size was found between SysQ → PU, InfoQ → PU and SysQ → PEOU. However, there was a small effect size between InfoQ and PEOU. Originality/value To the best of the authors’ knowledge, there was no study published till the time of conducting this meta-analysis. Hence, this study fills the literature gap. This study also confirms that TAM is a valid model in the acceptance and use of technology in mobile and digital libraries context. Thus, the findings of the present study are helpful for developers and designers in designing and developing mobile library apps. It will also be beneficial for library authorities and system librarians in designing and developing digital libraries in academic settings.

Unlocking English proficiency: Youtube's impact on speaking skills among indonesian university students

This study examines the factors affecting the intention to use and actual use of YouTube in improving English-speaking skills in Indonesia. To meet the aims, we extended the theory of technology acceptance model (TAM); two external factors, subjective norms, and perceived enjoyment, to support the TAM variables (perceived ease of use, perceived usefulness, attitude, intention to use, and actual use). Data were collected through a survey with 526 measurable responses from Indonesian preservice English teachers in three Indonesian universities. The data were analyzed through partial least square structural equation modeling (PLS-SEM), measurement, and structural model. The findings informed that all hypothesized relationships were accepted and confirmed. The strongest relationship emerged between intention to use and actual use. Meanwhile, the weakest correlation was between subjective norms and perceived ease of use. The study facilitates recommendations for future researchers, language educators, and all related parties.

Creating a positive behavior intention using an online learning platform technology: the mediating role of perceived online learning enjoyment

Purpose Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions students.Design/methodology/approach The research framework was empirically evaluated using a cross-sectional research design and the data was collected from 715 undergraduate students from public higher education institutions in Malaysia using an online survey method. A structural equation modeling using partial least square method was used to examine the hypothesized model.Findings The results of partial least squares structural equation modeling indicated that the main predictive variables of TAM along with the extended variables were significantly influence the perceived online learning enjoyment. Meanwhile, the analysis also identified that perceived online learning enjoyment can significantly generate positive BIN for using online learning platforms as well as it also plays as a significant mediator role.Practical implications This study has significant implications for higher education institutions that wish to develop online learning environment for their students by providing answers to higher education institutions on how to successfully use the learning management system to assist students' learning performance from the aspect of online learning enjoyment sentiment.Originality/value This study is remarkable because it is the first attempt to explore the effect of these five predictors on students' learning enjoyment toward online learning platforms and subsequently on BIN to use this learning platforms, especially in the context of Malaysian higher education system. It is also unique in the way to extend the use of TAM predictive variables with others variables to produce more informative results about the study. Hence, this study also has a new contribution in the literature in the domain of digital learning.

Travelers’ intentions and behaviors regarding central bank digital currency use

The use of central bank digital currency (CBDC) is an emerging issue in the tourism industry. We uncovered travelers’ intention with respect to CBDC adoption by broadening and intensifying the technology acceptance model (TAM). A total of 598 valid samples were examined and showed that TAM variables, confidence, competence, and consumer innovativeness sufficiently contribute to explicating the intention generation process of travelers for CBDC adoption. The cross-national influence of China and the US on the intention to adopt CBDC was also explored by adding nationality as a moderator. This research is one of few studies unearthing travelers’ behaviors for CBDC use, which enriches the extant tourism literature.

Analisis Faktor-Faktor Penerimaan Pengguna Aplikasi STIKez Peduli Berbasis Android

All walks of life, of course, prioritize the availability of information technology today. Availability of technology is necessary to complete every task or job in all aspects of human labour. According to information gathered, the residents of Sukosari Hamlet are still not aware of the importance of health, especially amid the current Covid pandemic. As a result, the "STIKez Peduli" health information system application was developed for Android. In addition to disease information regarding the definition, symptoms, prevention, and treatment, this application also contains information on disease trends that are most common in Malang Regency. The0extent0to0which users0can accept0and understand a technology is very important for the success rate in implementing the system, and user acceptance is always related to the implementation of new systems. By using the Technology Acceptance Model (TAM) method and three variables of Perceived Usefulness, Perceived User Ease, and Application Acceptance, this research examines the acceptability of the STIKez Peduli application. Questionnaires distributed via social media were used for data collection. with samples taken as many as thirty0respondents. From0testing the hypothesis it is known that each of the TAM variables used, namely Acceptance of IT, Perceived Ease of Use, and Perceived Usefulness have a positive influence, with a significant p-value <0.01.

Faculty acceptance of virtual teaching platforms for online teaching: Moderating role of resistance to change

Under this “new normal” world scenario, online teaching has been essential rather than a choice in continuing learning activities. During the COVID-19 period, virtual teaching platforms played an important role in the success of online teaching in various higher educational institutions. Thus, the current study attempted to predict faculty adoption of online platforms by introducing a set of essential drivers for engaging in online teaching. Following the theory of reasoned action, the study broadened the technology acceptance model variables and security and trust as extrinsic determinants and included resistance to change as moderators to invigorate the research model. Data were collected through an online survey with a sample size of 418 Indian respondents. Our results posit that perceived ease of use, usefulness, security and trust positively influence the faculty's intentions to adopt online platforms. In addition, the study also reported that positive intention leads to the actual use of virtual platforms. Furthermore, the research found the moderating role of the resistance to change dimension in the association of intention and actual use of virtual teaching platforms. The findings provide both theoretical and practical applications of educational technology. Implications for practice or policy The first step for accepting virtual teaching platforms is to help faculty to reduce their resistance for effective online teaching. Higher education institutions should have a policy promising faculty that online teaching using virtual teaching platforms will offer a safer and more trustworthy environment. Higher education institutions should undertake intense organisational renewal and implement bottom-up processes for synchronous learning. Regulators could frame a policy including virtual teaching platforms to provide interactive professional development opportunities.

ChatGPT의 교육적 활용에 대한 학습자의 수용의도 탐색: 지각된 용이성, 지각된 유용성, 태도, 지속적인 사용의도 간의 구조적 관계를 중심으로

In this study, based on the Technology Acceptance Model (TAM), we explored learners' intention to continuously use ChatGPT, which is utilized for educational purposes. In this research, variables such as perceived ease of use, perceived usefulness, and attitude were extracted as predictors of learners' intention to continuously use ChatGPT, and the structural relationships among these variables were examined. The study collected data from 267 learners who were enrolled in undergraduate and graduate programs at universities in the metropolitan area and validated the relationships among variables using structural equation modeling. Through this study, we were able to identify the impact of key TAM variables, perceived usefulness, and attitude on learners' intention to continuously use ChatGPT. The results showed that perceived usefulness had the most significant direct and indirect impact on learners' continuous use intention. Secondly, perceived ease of use, a core TAM variable, was found to have limited direct impact on continuous use intention for ChatGPT; however, it had an indirect impact through perceived usefulness and attitude. Thirdly, learners' experiences of using ChatGPT in their daily lives significantly moderated their intention to continuously use it for educational purposes. However, learners' gender was not found to significantly moderate the relationships among ‘perceived ease of use, attitude, perceived usefulness’ and the dependent variable ‘continuous use intention.’ Finally, the study discusses the results and derives implications for the educational use of ChatGPT in higher education.

Social Determinants of Health and Patients' Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey.

Telehealth has been widely adopted by patients during the COVID-19 pandemic. Many social determinants of health influence the adoption. This pilot study aimed to understand the social determinants of patients' adoption of telehealth in the context of the pandemic. A survey methodology was used to capture data from 215 participants using Amazon Mechanical Turk. The study was guided by the technology acceptance model and the social determinants of health framework. The questionnaire included technology acceptance model variables (eg, perceived usefulness [PU] and perceived ease of use [PEOU]), social determinants (eg, access to health care, socioeconomic status, education, and health literacy), and demographic information (eg, age, sex, race, and ethnicity). A series of ordinary least squares regressions were conducted to analyze the data using SPSS Statistics (IBM Corp). The results showed that social determinant factors-safe neighborhood and built environment (P=.01) and economic stability (P=.05)-are predictors of the PEOU of telehealth adoption at a statistically significant or marginally statistically significant level. Furthermore, a moderated mediation model (PROCESS model 85) was used to analyze the effects of COVID-19 on the neighborhood, built environment, and economic stability. PEOU and PU significantly positively affected users' intention to use technology for both variables. This study draws attention to 2 research frameworks that address unequal access to health technologies. It also adds empirical evidence to telehealth research on the adoption of patient technology. Finally, regarding practical implications, this study will provide government agencies, health care organizations, and health care companies with a better perspective of patients' digital health use. This will further guide them in designing better technology by considering factors such as social determinants of health.

Predicting attitude, use, and future intentions with translation websites through the TAM framework: a multicultural study among Saudi and South Korean language learners

Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions, attitudes, and use of MT tools like Google Translate among Saudi and Korean university students learning English as a foreign language (EFL). A total of 470 students were recruited from Saudi Arabia and South Korea to complete a questionnaire measuring scales on perceived ease of use, perceived usefulness, attitude, actual use, and intended future use of MT websites. Structural equation modeling analyzed the relationships among the TAM variables. Results found that Saudi and Korean students both reported high levels on the TAM variables, indicating that translation tools were easy to use and useful for studying language. Lower L2 proficiency correlated with greater perceived usefulness and a more positive attitude. Students frequently use MT tools when learning English and plan to continue using them in the future. The model explained 71% of actual use and 42% of behavioral intention to use MT for language learning. Furthermore, Saudi students reported a slightly easier time using MT tools for language learning, while Korean students planned to use MT more often. Other findings, along with practical applications, are presented in this paper.

Evaluating student satisfaction with online hackathon for IT projects

Hackathons are growing more virtual, especially after the COVID-19 epidemic started since they attract many participants at once from different places and time zones. This study intends to identify factors that influence students’ satisfaction with online hackathon for IT projects. The study used quantitative methodology and proposed a model. The model was developed using technology acceptance model variables (perceived usefulness [PU], perceived ease of use [PEOU], behavioral intention [BI]) in combination with self-efficacy (SE) and satisfaction variables. The study questionnaire was distributed to 180 university students who have participated in a hackathon. The results were measured for reliability and validity (Cronbach’s alpha was used for reliability while confirmatory factor analysis was used for validity. The hypothesis in the suggested model were assessed using structural equation modeling technique. The results show that BI and PEOU have no influence on students’ satisfaction with using online hackathon for IT projects. However, it was discovered that students’ satisfaction with online hackathon for IT projects is influenced by PU and SE. These findings imply that creating online courses that participants perceive as useful and see themselves as having high SE in their projects will further enhance satisfaction with online hackathons. It might also encourage and facilitate the use of online hackathons among students. Universities should routinely provide instruction and advice to students to help them understand the advantages of online courses. In summary, the research will be useful to decision-makers and educators in universities to further the integration of online hackathons for IT projects in the curriculum. Future recommendations should consider the use of additional technology adoption variables as well as testing the data with a qualitative methodology.

ANALISIS PENERIMAAN APLIKASI MYPERTAMINA MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM)

In an effort to protect and maintain customer loyalty, PT Pertamina introduced a loyalty program called MyPertamina. This application allows customers to make non-cash transactions through LinkAja! Meanwhile, the government is currently testing official transactions for fuel oil (BBM), diesel and pertalite subsidies, through this program. The objective of this research is to recognize the determinants that influence the public's acceptance of the MyPertamina application. In this study, the Technology Acceptance Model (TAM) approach is utilized to gauge the extent to which users accept technology based on their behavior. There are four variables in TAM that are used, namely Perceived Usefulness, Perceived Ease of Use, Behavioral Intention to Use, and Actual System Use. As many as 160 respondents who are users of the MyPertamina application are the subject of this study, selected using the Lemeshow formula. The results showed that after the primary data was processed using the SPSS application, hypothesis testing was carried out using Structural Equation Modeling (SEM). In addition, Perceived Ease of Use also has a positive and significant effect on Behavioral Intention to Use and Actual System Use. However, there is no positive and significant effect between Behavioral Intention to Use and Actual System Use.

Factors affecting social media usage by market mavens for fashion-related information provision

PurposeThe purpose of this study was to understand factors affecting market mavens' use of social media for fashion-related information provision. The study examined market mavens' motivations to share fashion-related information. Specifically, this study investigates the impact of their motivations (i.e. pleasure from helping, a sense of obligation) and technology acceptance model variables (i.e. beliefs about and attitude toward using social media) on intention to use social media for sharing fashion-related information.Design/methodology/approachAn online survey yielded 862 responses from US female respondents. A subset (N = 307) representing those high in market mavenism was used for the study. Structural equation modeling was employed for the analysis.FindingsThe results confirmed that market mavens were driven by pleasure from helping and a sense of obligation to share fashion-related information. These motivations and attitude toward using social media to disseminate fashion-related information positively influenced market mavens' intention to use it to disseminate fashion-related information. Furthermore, belief variables (i.e. perceived usefulness, ease of use and enjoyment associated with social media) indirectly impacted this intention.Originality/valueThe study adds to the scant research examining market mavens' motivations for sharing fashion-related information with others and their intention to use social media. It provides valuable insights for fashion retailers looking to enhance the impact of social media marketing through the deployment of market mavens – very knowledgeable, motivated and trusted consumers.

Exploring determinants of social media addiction in higher education through the integrated lenses of technology acceptance model (TAM) and usage habit

PurposeThis research aims to build on the pre-existing corpus of literature through the integration of the technology acceptance model (TAM) and usage habit to more accurately capture the determinants associated with social media addiction among university students. This study seeks to delineate how usage habit and TAM may be used as predictors for addiction potential, as well as provide greater insight into current trends in social media usage across this population demographic.Design/methodology/approachA cross-sectional research design was employed to investigate the determinants of social media addiction among university students in Malaysia at the onset of their tertiary education. A self-administered survey, adapted from prior studies, was administered to a sample of 217 respondents. The hypotheses on social media addiction were subsequently tested using a partial least squares structural equation modeling (PLS-SEM) approach.FindingsUsage habit was found to be a direct and strong predictor of this type of addiction, as well as all TAM variables considered in the research. Additionally, by integrating TAM with usage habit, the study revealed a comprehensive and multi-faceted understanding of social media addiction, providing an important insight into its complexity in the Malaysian context. Although several other factors have been identified as potential contributors to social media reliance and addictive behavior, it appears that usage habit is paramount in driving these addictive tendencies among university students.Research limitations/implicationsThis expanded model holds significant implications for the development of interventions and policies that aim to mitigate the adverse effects of social media addiction on students' educational and psychological well-being. The study illustrates the applicability of the TAM in examining addictive behaviors within emerging contexts such as the Malaysian higher education sector, thus contributing to the extant literature on the subject.Practical implicationsThe integrated TAM and habit model is an effective predictor of social media addiction among young adults in developing countries like Malaysia. This highlights the importance of actively monitoring and controlling users' interactions with technology and media platforms, while promoting responsible usage habits. Educators can use these findings to create tailored educational programs to educate students on how to use technology responsibly and reduce their risk of becoming addicted to social media.Originality/valueThis study provides a unique perspective on social media addiction among university students. The combination of TAM and usage habit has the potential to shed significant light on how variables such as perceived usefulness (PU) and perceived ease of use (PEOU) may be associated with addictive behaviors. Additionally, by considering usage habit as an explanatory factor, this research offers a novel approach to understanding how addictions form over time.

Being ready for digital transformation: How to enhance employees’ intentional digital readiness

Organizations rely on employees' intentional digital readiness to enable digital transformation, as such readiness determines individuals’ actual use and acceptance of digitalization.Therefore, the purpose of this study was to obtain deeper insights into the key drivers of employees' international digital readiness. To do so, we developed the Employee Digitalization Acceptance Model, which is grounded in the Technology Acceptance Model (TAM) and the Personal Resource Adaption Model (PRAM). Particularly, we investigate the indirect effects of personal resources (proactive personality [PP] and growth mindset) and job resources (empowering leadership [EL] and trust in management [TM]) on employees’ intentional digital readiness through their perceptions of digital working tools (perceived usefulness and perceived ease of use).Based on data from 1143 employees, structural equation modeling was used to examine the hypothesized relationships. While perceptions of digital working tools, PP, EL in terms of autonomy support, and TM were found to enhance intentional digital readiness based on our results, a growth mindset and EL in terms of development support reduced this readiness.This was the first study to develop a theoretical framework to examine employees’ intentional digital readiness by considering the key variables of TAM and integrating personal and job resources derived from PRAM.

Acceptance and Intentions of Using Dynamic Geometry Software by Pre-Service Primary School Teachers

In this paper, we empirically verify the validity of the extended Technology Acceptance Model (TAM) for the use of Dynamic Geometry Software (DGS) in teaching geometry, as proposed by Pittalis. The model includes the notion of “perceived pedagogical-learning fit” in addition to the traditional belief and attitude variables of TAM. We employ a structural equation modeling approach to capture the relationships between the different latent constructs. With a sample of 135 pre-service primary school teachers as participants, our study provides valuable insights into the factors influencing the adoption of DGS in geometry teaching. The results reveal that the extended TAM serves as a suitable framework to evaluate the intentions of teachers to use DGS in teaching geometry. However, we also observe some discrepancies in the predictive power of various latent factors when compared to the original study. These findings not only contribute to our understanding of the factors affecting the adoption of DGS in geometry teaching but also provide valuable insights for future research and practice.