Attitude Toward Using Research Articles

Watch That Attitude! Examining the Role of Attitude in the Technology Acceptance Model through Meta-Analytic Structural Equation Modelling

The Technology Acceptance Model (TAM), proposed by Fred Davis in 1986, is a foundational framework for understanding technology adoption, emphasizing Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) as key determinants of Intention to Use (ITU). While Attitude Toward Using (ATU) was initially central to TAM, it was later omitted in iterations like TAM2 and UTAUT. This paper revisits the role of ATU within TAM, employing One-Step Meta-Analytic Structural Equation Modelling (OSMASEM) to analyze educational technology acceptance. The findings reveal that ATU significantly mediates the relationship between PEOU, PU, and ITU, enhancing the explanatory power of TAM. By comparing models with and without ATU (TAM-O and TAM-R), the findings demonstrate that incorporating ATU provides a more comprehensive understanding of user behavior, particularly in voluntary use contexts. The study underscores the importance of attitudes in technology adoption and suggests that future TAM iterations should consider ATU to improve predictive accuracy. This research contributes to theoretical advancements in TAM and offers practical insights for enhancing technology acceptance in educational settings.

Analysis for Technology Acceptance of Internal Apps at Regency Level in Indonesia

This study investigates the factors influencing technology acceptance of internal applications within regency-level government institutions in Indonesia, utilizing the Technology Acceptance Model (TAM). The analysis focuses on key variables including perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), behavioural intention to use (BITU), and actual system usage (ASU). The results reveal strong correlations across all variables, indicating a high level of acceptance and positive engagement with the apps among government employees. Additionally, reliability testing shows high internal consistency, with Cronbach's Alpha values exceeding 0.9 for most variables, confirming the stability and dependability of the measurements. These findings suggest that government employees generally find the internal apps beneficial and user-friendly, leading to favorable attitudes and continued usage. This research provides valuable insights that can inform the development and implementation of future digital initiatives at the regency level in Indonesia.

WeChat Adoption among Older Adults and Urban-Rural Differences in China

At the intersection of social digitization and population aging, the challenge of older adults fitting into digital life is becoming more prominent. To understand how to help older adults adopt digital life, this study builds upon the Technology Acceptance Model (TAM) and developed the Digital Technology Motivation Interaction Model (DTMIM) to study the complex effects of autonomous motivation (perceived usefulness, perceived ease of use, perceived enjoyment), controlled motivation, and digital feedback on WeChat adoption among older adults, as well as the urban-rural differences. The results of the questionnaire survey and Fuzzy-set Qualitative Comparative Analysis (fsQCA) show that: First, no single construct is a necessary condition for a high (non-high) attitude toward using (ATU) or high (non-high) actual using (AU). Second, we identified two configurations that trigger high ATU including the autonomy-motivation type and digital feedback under motivational synergy, and three configurations that enable high AU including motivational synergy type, digital feedback under autonomous extrinsic motivation, and digital feedback under motivational synergy. Third, the configurations of high ATU and high AU show significant differences between urban and rural areas. Autonomy motivation plays a universal role in urban older adults’ WeChat adoption, while digital feedback is critical for rural older adults. The configuration analysis of DTMIM and urban-rural differences is not only an adaptive improvement of TAM but also provides new methods and perspectives for future research on the adoption of digital technology.

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.

Examining The Impact of Social Science Teachers’ Technological Pedagogical Content Knowledge (TPACK) on Acceptance of Online Teaching and Learning

This research examines junior high school social studies teachers' technology pedagogy content knowledge (TPACK) and how this knowledge influences acceptance of technology in online teaching and learning. In this study, the quantity approach was applied, while the type of research is descriptive explanatory. A total of 875 social science teachers were surveyed in East Java Province. Structural Equation Modelling (SEM) with AMOS version 20 software was used during data analysis. Perceived utility (PU) and perceived ease of use (PEU) are highly impacted by TPACK. Moreover, PEU substantially affects PU, which has been demonstrated to impact behavioural intention to use (BIU) and an attitude toward use (ATU) significantly. As a result, TPACK is essential to adopting online teaching and learning, and its PU is crucial to instructors' attitudes regarding and continuous use of it. It is possible that the characteristics of this sample do not accurately reflect Indonesian social science educators. Research on the potential effects of additional variables, like self-efficacy or social science teacher performance, would be interesting. The integration of TPACK and TAM is examined in this study to generate a conceptual framework based on empirical data.

Effects of Immersive Experiences in Green Tourism on Behavioral Intentions of Young Tourists

Green tourism is a growing industry with large development potential. Thus, it is necessary to explore how immersive experiences drive its development in an innovative form of tourism. In this study, the behavioral intentions (BI) of young tourists were investigated by a technology acceptance model (TAM). Meizhou, a city with abundant green tourism resources, was chosen as the study area to formulate a BI model for immersive experiences in green tourism. The hypotheses were proposed and tested based on the results of a questionnaire survey and statistical analysis. The results revealed that tourists’ perceived usefulness (PU) and attitude toward using (ATU) significantly affected their BI. PU played a mediating role between perceived ease of use (PEOU) and BI. Appropriate recommendations regarding the development of immersive experiences in green tourism in Meizhou were made to enrich the BI model’s application. The research results provide an important reference for urban governance.

Acceptance of Distance Learning Technology in Technology-Based Learning Management

The Technology Acceptance Model (TAM) describes the factors that influence the acceptance and adoption of technology by individuals. In education management, TAM is used to understand how educators, students, and administrative staff respond to the use of technology in the educational process. The application of the Technology Acceptance Model in education management is to help educational institutions plan, implement, and support the use of technology more effectively, taking into account psychological factors and user perceptions. The variables influencing technology acceptance are Perceived Ease of Use, Perceived Usefulness, Attitude Toward Technology, and Intention to Use. This study examines the factors that influence the acceptance of technology by UT postgraduate students toward using information technology in distance learning. The research results are used to develop distance education management, especially in developing internet technology-based learning. The results show that the variables measured have a significant effect on the use of distance learning technology. The Behavioral Intention to Use variable has the most significant influence on Actual Use (AU), followed by the influence of Perceived Ease of Use (PEU) on Attitude Toward Using (ATU) and Perceived Usefulness (PU) on Attitude Toward Using (ATU).Open University, Technology Acceptance Models, Technology Based Learning Management

Pengukuran Penerimaan Aplikasi e-Coklit Berdasarkan Persepsi PPK, PPS, dan Pantarlih Menggunakan Technology Acceptance Model

The 2024 ELECTION is a big event that involves many officers as event organizers, including PPK, PPS, and Pantarlih. Citizen data collection activities as prospective voters throughout Indonesia have various problems that are quite complicated, so there is a need for a system in the form of an application that helps simplify and expedite the data collection process. The application that is applied is E-Coklit. The e-Coklit application contains many opinions among users; for this reason,n it is necessary to analyze the perceptions of application users. This study aims to measure the acceptance of e-cockpit applications based on user perceptions based on the instruments used in the Technology Acceptance Model (TAM). The method used is a quantitative research method, based on the variables EOU (Ease of Use), UO (Usefullnes of Use), BIU (Behavioral Intention to Use), and ATU (Attitude toward using) as independent variables and ASU (Actual System of Use) is a variable dependent. Based on the results of the analysis test, it can be concluded that the use of the E-Coklit application for citizen data collection as prospective voters in the 2024 ELECTIONS fulfils the criteria because it can simplify and expedite officer activities so that they are more effective and efficient.

The Correlation between Attitude Toward Using (ATU) and Behavioral Intention (BI) in Students Using Scola Biology Teaching at Dedikasi Edukasi Kualiva Senior High School

Broad and complex biology topics require electronic learning media such as Scola to assist students in learning. Student responses are important to know in the use of IT systems as an evaluation. The aim of this study was to find out the value of ATU and BI values in the use of Scola, the correlation between ATU and BI in students using Scola in biology learning at DEK High School. The type of this study was descriptive correlation with a quantitative approach conducted at DEK SMA. The sample of this research consisted of 48 students using the total sampling technique. The data analysis used was the Pearson Product Moment correlation test and the t test and it was found that the data were normally distributed. The results showed that Attitude Toward Using was 72% with high criteria. Behavioral Intention was 74% with high criteria, and the correlation between ATU and BI had a value of r = 0.74 (strong correlation) this means that there is a positive correlation and the t test results obtained tcount = 7.37 which is greater than ttable = 1.67. Dealing with the results of the study, it can be concluded that ATU has a significant positive correlation to BI in students who use Scola in biology learning at DEK Senior High School.

Analisis Penerimaan Aplikasi Alfagift Di Kota Surabaya Menggunakan Metode Technology Acceptance Model

This research aims to determine how the acceptance of the Alfagift application, is measured using the Technology Acceptance Model (TAM) method. The variables that will be analyzed are Perceived Ease of Use (PEU), Perceived Usefulness (PU), Behavioral Intention to Use (BIU), Actual Usage Behavior (AU), and Attitude Toward Using (ATU). The target respondents are residents of Surabaya who have used the Alfagift application to purchase household necessities. We collected samples by distributing research questionnaires. Subsequently, we conducted tests for validity, reliability, and multiple linear regression. The findings of our research are as follows: 1) PEU has a positive and significant impact on PU; 2) PEU has a positive and significant impact on ATU; 3) PU has a positive and significant impact on ATU; 4) ATU has a positive and significant impact on BIU; 5) BIU has a positive and significant impact on AU.

Educational Game for Learning Computational Thinking in a Low Budget Virtual Reality Environment

Virtual reality (VR) is a technology that can create a simulation of real objects in a virtual environment more interactively. In terms of budget, VR devices can be categorized into low budget and high end. However, both of them can still carry out the same interactive simulations, such as educational games. This research aims to develop an educational game based in low-budget VR environment for learning computational thinking (CT), one of the 21st century skills that students need to learn. The method used is Design and Development Research (DDR) that consists of five stages: analysis, design, development, testing, and evaluation. Participants involved in this study are 30 students of vocational school (SMK) majoring Computer and Network Engineering. Evaluation conducted through Technology Acceptance Model (TAM) framework that consists of perceived usefulness (PU), perceived ease of use (PEU), attitude toward using (ATU), and intention to use (ITU). Based on the data obtained and the analysis performed, the Cronbach’s alpha score of PU and PEU were 0.714 and 0.614, respectively. Meanwhile, the Cronbach’s alpha score of ATU and ITU were 0.754 and 0.882, respectively. PU and PEU are positively correlated with ATU, while ATU is also positively correlated with ITU. It means that the ease of use of the application and the usability aspects of the developed application have a positive effect on user attitudes. This positive behavior is also positively correlated with the intention to use it again on another occasion. Thus it can be concluded that this educational game based in low-budget VR environment can be used for learning CT. It can be seen from the analysis and some positive comments from students, like participants wish they can use this learning approach in the other subject.

Exploring student satisfaction and acceptance of e-learning technologies in Saudi higher education.

The COVID-19 pandemic has rekindled interest in online learning as a desirable substitute. In Saudi Arabia’s educational system, technology and online learning are becoming more and more significant. In order to prepare students for the digital age and Saudi Vision 2030, there is an increasing desire for educational institutions to use e-learning. Students and faculty at Saudi institutions now have more opportunities to better grasp the globalized digital age thanks to the integration and acceptance of digital technology into learning and teaching. Therefore, this study aims to analyze and investigate the educational quality, social influence, and TAM Model factors that increase the students’ attitude toward using e-learning; thus, it affects students’ satisfaction and academic performance. The study was conducted at two universities in Saudi Arabia. Structural equation modeling (SEM) and route analysis were used to evaluate the research model and analyze data from e-learning users through a questionnaire. The findings revealed that perceived ease of use (PEU) and perceived usefulness (PU) mediate the effects of educational quality (EDQ), social influence (SOI), and perceived enjoyment (PE), which in turn affect students’ attitude toward use (ATU), and students’ satisfaction with using e-learning systems (SSE). Additionally, the results demonstrated that the mediator factors had favorable “R square (R2)” values for adopting e-learning systems in higher education, with PEU = 0.562, PU = 0.712, ATU = 0.608, and SSE = 0.636. The hypotheses’ findings led to the development of a validated instrument to measure students’ online learning in Saudi Arabia’s higher education.

Use of Technology Acceptance Model to Investigate the Acceptance of Learning Management System Amongst Academics using Selected Universities in Sri Lanka

This study aimed to investigate the technology acceptance of Moodle learning management system (LMS) amongst academics in public and private universities in Sri Lanka. The study was carried out in 2019 before the Covid-19 pandemic plaguing Sri Lanka. As a result of e-learning adoption, LMS is a very popular tool that is used in an e-learning environment in public and private universities around the globe. The study population of this research was the academics who teach in Social Sciences & Humanities, Commerce & Management Studies and Computing & Technology at the University of Kelaniya (UOK) and Business, Humanities & Sciences and Computing in the Sri Lanka Institute of Information Technology (SLIIT). The sample selected using the Morgan table and sample size was 174 and 64 academics from UOK and SLIIT. This study selected stratified random sampling to get an accurate population. A total of 121 academics responded to this survey and those were 60 from a public university and 61 from a private university. The online and printed questionnaires were distributed to academics from selected faculties such as Social Sciences, Humanities, Commerce and Management Studies, and Computing & Technology in public and private universities. The objective of this paper was to develop a theoretical framework by testing five variables Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude toward use (ATU), Behavior Intention to Use (BIU) and Actual Use (AU) and tested model was Technology Acceptance Model (TAM). Both types of universities have been using common LMS which is based on Moodle, the public university called it ‘Computer Assisted Learning/CAL’ while the private university called it ‘COURSE WEB’. The research findings indicate that there is the strongest path coefficient between BIU and AU in both universities and the private university indicated the highest coefficient. Further, there is no significant relationship shown between perceived usefulness (PU) and behavioural intention to use (BIU) of Moodle LMS in both universities and no significant relationship between perceived ease of use (PEOU) and attitude towards use (ATU) of Moodle LMS in academics in the private university.

ACCEPTANCE ANALYSIS OF TECHNOLOGY-BASED PERSONNEL MANAGEMENT INFORMATION SYSTEMS (SIMPATIK) IN SUPPORTING THE IMPLEMENTATION OF E-GOVERNMENT IN THE SEMARANG CITY MANPOWER SERVICE

In this digital era, information technology has an important role for institutions, companies, communities, and governments. In carrying out the main tasks of the Semarang City Manpower Service, one of them is evaluating employee performance. In assessing the performance of the Semarang City Manpower Service employees using SIMPATIK which was developed by the Semarang City BKPP which was launched in 2018. Where the implementation of the new system needs to be evaluated further. This is due to the failure to implement e-government services, not because of the quality and capacity of the system, but because of the low user acceptance of these services. Thus, it is necessary to analyse the level of acceptance in using SIMPATIK services at the Semarang City Manpower Service whether it can be evaluated further. So that SIMPATIK can still exist to be used for various kinds of services contained in the application by ASN at the Semarang City Manpower Service. The method applied to data collection is the interview and questionnaire method. While the method applied to evaluate SIMPATIK is the Technology Acceptance Model (TAM) by applying four research variables, namely perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), and behavioural intentions (BI). To examine the data adopted the method of Structural Equation Model-partial Least Square (SEMPLS). The conclusion reached in this study is that all hypotheses developed in this study were accepted, except for PU on BI rejected because the value of T-Statistics (0.846) < T-Table (1.96) and P-Values were more than 0.05 with a value of 0.398 .

Technology Acceptance Model (TAM) For Smart Lighting System in XYZ Company

This research was conducted to identify and measure the significance of the factors or variables that influence technology acceptance for a smart lighting system built based on the internet of things (IoT) and artificial intelligence (AI) technology implemented in XYZ company. The smart lighting system implemented was a dedicated smart lighting system for office space (more than 20 m2 to 60 m2) to sense the conditions and make automatic adjustments to room conditions. Before mass production, the smart lighting system would be reviewed for its technology acceptance by users using the technology acceptance technology model (TAM). TAM is a method used to identify factors that affect the technology acceptance based on the functionality of the smart lighting system. Based on the smart lighting purposes and conditions from the XYZ company, six variables influencing the acceptance of smart lighting systems, namely reliability and accuracy (RA), perceived ease of use (PEOU), perceived usefulness (PU), attitude toward using (ATU), behavior intention (BI), and actual system use (AU) were proposed. These variables influenced each other and formed eight hypotheses, namely H1, H2, H3, H4, H5, H6, H7, and H8. Using the purposive sampling technique, validity test with product-moment correlation, and Cronbach’s alpha validity test, five hypotheses had a positive and significant effect, namely H1, H4, H5, H6, and H7. The RA variable influenced the PU variable, the PU variable influenced the ATU variable, the PEOU variable affected the ATU variable, the ATU variable influenced BI, and the PU variable affected BI. Meanwhile, the three hypotheses had negative and insignificant impacts, namely H2, H3, and H8. The RA variable did not affect the PEOU, the PEOU variable did not affect the PU, and the BI variable did not affect the AU variable.

Determinants of Customer Intentions to Use Electric Vehicle in Indonesia: An Integrated Model Analysis

Electric vehicles can be a solution to certain social problems in Indonesia, such as pollution and an increase in consumption of energy from fossil fuels, which cannot be met by domestic production. The discussion of the TPB theoretical model, UTAUT2, and risk perception, using the structural equation modeling (SEM) method, in this study aims to provide an overview of the factors that drive interest in adopting electric vehicles in Indonesia. Data were collected from 526 respondents in various cities located in Indonesia. The results showed that the model can estimate the study variables adequately. The constructs of TPB such as attitude toward use (ATU), subjective norm (SBN), and perceived behavior control (PBC) positively affect interest in using electric vehicles. Meanwhile, ATU is influenced by performance and effort expectancies, hedonic motivation, price value, as well as functional, financial, and social risks. Another factor, known as PBC, is influenced by certain facilitating conditions. The ATU factor is the most influential on the use of electric vehicles, therefore factors such as performance expectancy, effort expectancy, hedonic motivation, price value, functional risk, financial risk, and social risk need to be properly analyzed.

Exploring educational students acceptance of using movies as economics learning media: PLS-SEM analysis

This research attempts to investigate the level of acceptance of economics learning media through movie scenes using the Technological Acceptance Model (TAM) approach. Data were obtained using a Likert scale questionnaire from 396 students of the Faculty of Teacher Training and Education in Surakarta, Central Java, who had taken the learning media course. Partial Least Square Structural Equation Modeling (PLS-SEM) with reflective constructs was employed as the analysis method. The variables studied including Perceived Ease of Use (PEU), Perceived Usefulness (PU), Attitude Toward using (ATU), and Behavioral Intention to Use (BIU). The results showed a significant relationship in all direct effects and indirect effects studied. This study also found that the Perceived Ease of Use learning media movie scene had the greatest influence on the construct. The construct was also recognized to have strong predictive relevance to Behavioral intention to use. The findings imply that in order to be approved by teachers, learning media developers must pay attention to teacher perceptions of ease of use. This research contributes to TAM research in the field of education with PLS-SEM analysis to the stage of predictive relevance.

Determining Factors Affecting Customer Intention to Use Rooftop Solar Photovoltaics in Indonesia

Many developing countries on the equator, including Indonesia, have the potential for renewable and sustainable resources, such as solar energy. However, despite the enormous potential, the adoption level remains low. Previously, several studies discussed the potential, the feasibility, and the supporting policy of this technology, but none have been discussed from the customers’ perspective on a national scale. Therefore, this study attempts to determine the factors affecting the customers’ intention to use solar photovoltaics in Indonesia to develop a sustainable circular supply chain for renewable energy. This investigation was conducted based on integrating the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). Furthermore, an online questionnaire was successfully distributed with a total of 208 participants. Structural equation modeling (SEM) was utilized to derive the causal relationships of the proposed hypotheses. The results indicated that price value (PV) has a positive relationship and a significant influence on attitude toward use (ATU), which leads to the behavioral intention (BI) to make the construct the most affecting factor. This is the first comprehensive study to analyze the intention to use rooftop solar panels based on the UTAUT2 and TPB framework. The successful approach to support photovoltaic use will bring less waste and strengthen the circular supply chain to support sustainable development.

Acceptance of Technology by Islamic Boarding School Students Based on the TAM Model

This study aims to determine the acceptance of technology in Islamic boarding schools and their use in terms of physics learning outcomes, it is necessary to conduct research on technology acceptance among Islamic boarding schools. In this study, the acceptance of the technology was measured using the TAM model. Measurements were carried out in several Islamic boarding schools in the Aceh Besar area. The instrument used is a questionnaire on the perception of acceptance of information technology and documentation in the form of students' scores. The results obtained are the perception of students' acceptance of technology consisting of five indicators, namely the perception of PEOU (Perceived Ease of Use), PU (Perceived Usefulness), ATU (Attitude Toward Using), AU (Actual Usage), and B (Behavioral) towards information technology. Towards students tend to be high, and if there is the influence of other variables and not included in the study, so it can be seen that technology acceptance tends to be high. There is a strong relationship between Perceived Ease of Use (PEOU) and Perceived Usefulness (PU), PEOU and Attitude Toward Using (ATU), and Behavioral Intention (B) and Actual Usage (AU)

UTAUT as a Model for Understanding Intention to Adopt AI and Related Technologies among Librarians

This study explored the intention to adopt various AI and related technologies by academic and public librarians. A survey was disseminated through various library organization lists to collect input on issues surrounding AI attitude and intentions among librarians in North America. We utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) as a framework and performed structural equation modeling (SEM) and related statistical analyses (using SPSS and AMOS). Our findings confirm that the UTAUT can partially predict the likelihood of AI and related technologies adoption intentions among librarians. The model showed that performance expectancy (PE) and attitude toward use (ATU) of AI and related technologies had significant effects on librarians' intention to adopt AI and related technologies, while social influence (SI) and effort expectancy (EE) did not. We conclude that UTAUT is a viable integrated theoretical framework that, when properly designed and executed within a study, and lends itself to robust statistical analyses such as SEM. UTAUT is helpful as a framework for future approaches to designing and promoting adoption and use of emerging technologies by librarians.