Applicability Of Technology Acceptance Model Research Articles

Information Sustainability in a Digital Learning Environment: An Application of Technology Acceptance Model

Examining The main objective of the study is to examine the impact of digital learning environment on the information sustainability among higher education institutions. Meanwhile the study has also examined the impact of technology acceptance model namely perceived usefulness, perceived enjoyment, perceived ease of use, computer self-efficacy, and computer anxiety on the digital learning environment on the information sustainability among higher education institutions. Lastly, the study has examined the mediating role of digital learning environment in the relationship between the perceived usefulness, perceived enjoyment, and perceived ease of use, computer self-efficacy, and computer anxiety information sustainability among higher education institutions. This study uses a quantitative methodology to explore the perspectives of employees in Thailand's industrial, commercial, and service sectors on their working conditions. Purposive sampling was used to select 500 students from various universities. Structural Equation Modeling (SEM) was used to analyze the data, verify model accuracy, and assess scale dependability. SEM's ability to validate, refine, and test hypotheses allows for in-depth analyses of variable interplay. SEM is a confirmatory statistical method used to investigate structural theories, aiming to gain a more comprehensive understanding of causal processes impacting multiple variables. This study explores Learner Satisfaction in a Digital Environment (LSDE) and the role of information systems. Factors like computer self-efficacy, anxiety, enjoyment, ease of use, and usefulness influence satisfaction. The study highlights the importance of user-centric factors in creating a successful learning experience in digital environments, extending existing literature and highlighting the practicality of theories like Bandura's self-efficacy and the Technology Acceptance Model.

Digital coupons and Gen Z: An application of technology acceptance model with coupon proneness as a moderator

This study aimed to comprehend the perceptions and intentions of Generation Z consumers in India regarding the utilization of digital coupons, adopting the framework of the technology acceptance model. Through purposive sampling, 386 participants from Generation Z were selected to offer diverse perspectives, reflecting the significant influence of demographics on contemporary consumer behavior. An online survey was conducted across India, utilizing popular social networking applications, such as WhatsApp, LinkedIn, and Facebook, to distribute the online questionnaire as these platforms have widespread usage and accessibility among the target demographic. Structural equation modeling (SEM) was used to examine the relationships between the constructs. The study revealed that perceived ease of use had no significant impact on the attitudes toward digital coupons (p > 0.05). However, a strong positive relationship was observed between perceived usefulness and ease of use (β = 0.542, p ≤ 0.05). Similarly, perceived usefulness positively influenced attitudes toward digital coupons (β = 0.484, p ≤ 0.05), as did attitudes toward usage intention (β = 0.746, p ≤ 0.05). The relationships between attitude and perceived ease of use (β = –0.093, p ≤ 0.05) and attitude and usage intention (β = –0.124, p ≤ 0.05) were moderated by digital coupon proneness. Insights derived from this study hold substantial relevance for marketers aiming to effectively engage Generation Z through digital couponing strategies. AcknowledgmentThe authors are thankful to their respective universities, heads of departments, and others who have supported and contributed to the effective conduct of this study.

Application of Technology Acceptance Model and Delone and McLean IS Success Model to Measure Information System Design for Academic Activities in Higher Education Institution

The purpose of this study is to investigate the variables that may affect how well the academic information system performs. Quantitative approaches are employed in this study. The basic random sampling technique was used in this study to get samples from the community of academic information system users. There were 100 samples used in this investigation. The Technology Acceptance Model (TAM) and the Delone & Mclean model are used in this study. In this study, questionnaires were distributed as part of the data collection process. The SmartPLS was used in this study's inferential statistical analysis. According to the analysis results, introducing elements that have the biggest impact namely, perceived ease of use and service quality should be prioritized in order to improve helpdesk services in academic information systems. This involves establishing a report ticket function to resolve user complaints and offer updates on problem resolution, as well as optimizing academic information system for mobile displays to promote simple access to various academic information system -related demands. Perceived ease of use on perceived usefulness (path coefficient value: 0.79); service quality on perceived ease of use (path coefficient value: 0.79); user satisfaction on net benefits (path coefficient value: 0.74); and system quality on net benefits (path coefficient value: 0.03), are the variables that have the biggest influence in this research.

Comparison PAPI and CAPI methods in data collection : an application of technology acceptance model (TAM)

This research aims to comparative analysis about technology acceptance model (TAM) variables; perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT) of interviewers in using conventional paper and pencil interview (PAPI) and computer-assisted personal interview (CAPI) as data collection methods. The data were collected from two groups of interviewer, with a total of 334 interviewers. Analyses were conducted within each group and then compared using t-test using JASP 0.17.2.1. The findings showed that the two groups of PAPI and CAPI interviewers differed in their usage of survey methods. This research will assist organizations in planning the transformation of survey methods from PAPI to CAPI. It will also contribute to the understanding of the differences in interviewers' perceptions towards these two data collection methods.

Application of technology acceptance model (TAM) through the concept of Perceived Usefulness in the BRIguna Digital marketing program

Researchers examined a company engaged in banking that generally provides service products where this company does several services to market its products. This study aims to evaluate the services provided through marketing media companies use in Mobile Banking, namely BRIguna Digital, to make it easier for product users to carry out activities online. This study used descriptive qualitative research methods and data collection through observation, in-depth interviews, company secondary data, and documentation collection. This research evaluates marketing services used through the BRIMO application to facilitate the systems and services provided to customers to minimize the failure of online transactions so that BRIMO users are increasingly spreading, especially in the BRIguna Digital program, which is not widely known. This evaluation is carried out to improve the existing system and introduce BRIMO, especially in the digital BRIguna program, so that it is better known and has many users. The evaluation of this program uses the theory of the Technology Acceptance Model with the concept of Perceived Usefulness which will be implemented to support the PT. Bank Rakyat Indonesia in evaluating the BRIguna Digital program

Application of Technology Acceptance Model in Examining Students’ Behavioural Intention to Use Virtual Meeting Technology: A Partial Least Squares Structural Equation Modeling Approach

The use of virtual meeting technologies is becoming widespread in the educational field especially due to the outbreak of the Coronavirus Disease (COVID-19) that suddenly traumatized educational institutions activities in many countries across the world. However, despite the numerous advantages of virtual meeting technology, many higher institutions in Nigeria have not embraced the technology even during COVID-19 pandemic due to poor internet connectivity, poor facilities, negative attitudes (non-acceptance) of both teachers and students etc. In this study, partial least squares structural equation modelling (PLS-SEM) based on Davis technology acceptance model (TAM) was used to test the proposed model. The reliability and validity tests of the data collection instrument re-established the suitability of the TAM model in measuring the students’ acceptance of virtual meeting technologies. The research indicated that perceived usefulness as established by TAM was also found to have a significant impact on students’ attitude and behavioral intention to use virtual meeting technology. Similarly, the result has shown that perceived ease of use (PEOU) had a strong effect on perceived usefulness (PU).

To use or not to use? Understanding doctoral students' acceptance of ChatGPT in writing through technology acceptance model.

While artificial intelligence-based chatbots have demonstrated great potential for writing, little is known about whether and how doctoral students accept the use of ChatGPT in writing. Framed with Technology Acceptance Model, this study investigated doctoral students' acceptance toward ChatGPT in writing and the factors that influence it. The questionnaire survey revealed a high intention to use ChatGPT in writing among doctoral students in China. The findings further indicated that attitude was a significant predictor of behavioural intention to use ChatGPT in writing and mediated the impacts of perceived usefulness and perceived ease of use on it. Perceived ease of ChatGPT use was in turn influenced by students' past ChatGPT use experience. This study provides powerful evidence for the applicability of Technology Acceptance Model in the acceptance of ChatGPT in writing. The results have significant implications for leveraging ChatGPT for writing in higher education.

Application of Technology Acceptance Model (TAM) to The Use of 3D Digital Design (Case Study Fashion Design Results of 2 Fashion Design Students at Jakarta State University)

This study aims to determine the acceptance of users, in this case, students majoring in Fashion Education at Jakarta State University, to the 3D Digital Design application, which is used in making the final project of the Fashion Design 2 course. The respondents in this study were Fashion Design Education students who had taken the Applied Computer and Fashion Design 2 courses. This study used quantitative research methods with quantitative descriptive data analysis techniques. The result of this study showed that media and technology could increase productivity, performance, and process efficiency in making 3D fashion designs for students.

Application of Technology Acceptance Model (TAM) in Telemedicine Application During Covid-19 Pandemic

The COVID-19 pandemic hit the whole world, including Indonesia, forcing people to limit all activities outside their homes, including treatment activities to hospitals. This study aims to examine the application of the technology acceptance model (TAM) to telemedicine applications during the COVID-19 pandemic. The proposed research model is formulated from the extended technology acceptance model theory with empirical testing using data obtained from telemedicine user surveys. This study analyzed two additional external factors: privacy concerns and trust. Data is processed using SmartPLS software. A total of 406 telemedicine users participated in this study with male, n=206; 51%, female, n=200; 49%. Research respondents habitually used telemedicine applications during the COVID-19 pandemic that hit Indonesia. Among these respondents, 94.7% reported using telemedicine services during the COVID-19 pandemic. The most widely used telemedicine application, with a total of 59.7% of respondents, chose Halodoc. The external variable privacy concern does not affect the perceived usefulness of telemedicine used. However, trust and perceived usefulness are associated with a positive significance in telemedicine used during the COVID-19 pandemic in Indonesia. Privacy concerns have a limited impact on the perception of expediency but influence the ease of use of telemedicine apps. On the other hand, trust plays a vital role in shaping telemedicine's perceived usefulness and ease of use during the COVID-19 pandemic, as telemedicine has become indispensable for accessing healthcare services.

Automotive industry and industry 4.0-Circular economy nexus through the consumers' and manufacturers’ perspectives: A case study

The recent emergence of Industry 4.0 and the circular economy paradigm have significantly influenced various manufacturing sectors, including the automotive industry. These developments pose new challenges and issues in creating a digital and sustainable future. In response, this study was conducted to address the research gaps in perception-based investigations, specifically in the context of the Indian automotive industry. The study explores the impacts of the circular economy-Industry 4.0 nexus on the Indian automotive industry from the perspectives of stakeholders: 98 manufacturers and 294 end-users. Perception data were collected through a structured questionnaire and subjected to statistical analysis using factor analysis (both exploratory and confirmatory) to obtain the best-fit model. The findings indicate that manufacturers recognize the potential impact of the circular economy-Industry 4.0 nexus on waste reduction, post-consumption product management, and asset analysis. On the other hand, end-users perceive that new strategies and machine tool-related aspects are best implemented through Industry 4.0 technologies. Additionally, the study applies the technology acceptance model to bridge the research gap and discusses other enabling factors of the circular economy-Industry 4.0 impacts in the automotive industry. The novelty of this work lies in the first-time application of technology acceptance model in the Indian automotive field. The study aims to identify Industry 4.0 application factors affecting operational efficiency in the circular economy oriented automotive industry, thereby aiding policy planners and managers in developing appropriate circular economy strategies for the digital manufacturing world of tomorrow.

Influence of Antecedent Beliefs on Digitized Financial Services Adoption among Customers in Rural and Semi-urban Towns in Ghana

This paper reports results of an investigation into modelling factors that influence customers’ attitude and decisions to adopt digitized financial services (DFSs) in rural and semi-urban towns in Ghana. Quantitative cross-sectional research approach was used. Seven hundred and twenty-seven (727) rural customers were randomly selected from a semi-urban town and three adjoining rural communities in Ghana to test the applicability of technology acceptance model (TAM) within such a context. Structural equation modelling was employed to assess stated hypotheses. The results of the study suggest that perceived usefulness, trust in bank and security and reliability positively influence DFS usage. DFSs can play a positive role in financial service outreach and can increase the participation of rural population in formal financial activities. Hitherto, little academic attention has been given to digitization of financial services in semi-urban African towns. The study contributes to filling this research gap.

Digital financial service adoption decisions of semi-urban Ghanaian university students – implications for enterprise development and job creation

PurposeThis paper reports results of an investigation into semi-urban Ghanaian university youths' attitude to digitized financial services (DFSs) and the determinants of their adoption decisions.Design/methodology/approachQuantitative cross-sectional research approach was used. Three hundred and seventy-five (375) university students were randomly selected from a semi-urban town in Ghana to test the applicability of technology acceptance model (TAM) within such a context. Structural equation modeling was employed to assess stated hypotheses.FindingsThe results indicate a high penetration of digital financial services among the students, which confirms the applicability of TAM for such studies. The results further suggest that DFS provides a pathway to financial inclusion and can stimulate small enterprise development and job creation in Ghana's semi-urban communities.Originality/valueHitherto, little academic attention has been given to digitization of financial services in semi-urban African towns. The study contributes to filling this research gap.

The Effect of Augmented Reality and Privacy Priming in a Fashion-Related App: An Application of Technology Acceptance Model.

In this research, we tested (a) the effects of augmented reality (AR) and (b) how the effects of AR could be moderated by privacy perceptions. We used a 2 eyewear app type (AR vs. non-AR) by 2 privacy priming (prime vs. no prime) between-subject experimental design, and 114 Korean adults participated in the experiment. Results showed that AR had a main effect on perceived ease of use but not on perceived usefulness. Instead, the effect of AR on perceived usefulness was moderated by privacy priming such that the positive effect of AR on perceived usefulness was weaker when privacy concern was salient. Moreover, the results provided support for a moderated mediation model in which the indirect effect of AR on intent to use the app via perceived usefulness was moderated by privacy priming. Theoretical and practical implications are discussed.

Application of Technology Acceptance Model in Testing of Regional Financial Information System

New Public Management emerged as a new paradigm that was a draft reform towards good governance. Good Governance can be achieved if public sector governance and public sector performance, each of which is a well-implemented financial transparency and accountability, are implemented. The purpose of this study was to determine the influence of Perceive Ease of Use and Useful Peerceived on the acceptance of Regional Financial Information Systems (RIFS). This research is conducted by quantitative analysis methods. The population in this study was all users of the Regional Financial Information System in Jeneponto Regency with a total of 44 users using saturated sample techniques. Data is analyzed using data quality tests, classical assumption tests and hypothesis tests. The results of the study showed that the RIFS revenue in the Jeneponto District Government Agency was influenced by the user's perception of the ease of use of information systems. In this case the state civil apparatus either as a financial operator or treasurer in the working area of the Jeneponto District Government agency. Simultaneously the perception of ease of use and usefulness affects the acceptance of RIFS. In this case the operator / user feels that RIFS is easy to use and useful in doing the job.

Social media usage by elderly: application of technology acceptance model

Although social media usage grows every day, we do not know with certainty the use that the senior citizens give to them, nor the factors that influence its use. This research is intended to apply an adaptation of the technology acceptance model (TAM) in elderly citizens to assess what influences their actual use of social media if they indeed use it. For this purpose, 300 adults over 60 participated in Cuenca, Ecuador. Through a survey we tried to find out the perceived usefulness, the perceived ease of use, the attitude toward using social networks, the behavioral intention to use social media, and the actual usage that elderly give to social media. The findings of the study show that the perceived ease of use does not influence the behavioral intention to use social media by the elderly, but rather it is the perceived usefulness of the network and its contents what have a positive and significant effect on social media usage by senior citizens.

Analyzing technology acceptance model for collaborative governance in public administration: Empirical evidence of digital governance and perceived ease of use

This research was conducted with the primary aim to investigate digital governance by examining empirical evidence regarding the application of Technology Acceptance Model (TAM) in public administration. The antecedents of TAM were explored to estimate behavioral intention and actual use in electronic public service in public administration in Indonesia. The research was conducted in Semarang, Central Java, Indonesia by employing simple random sampling techniques to collect a total of 182 respondents. By using Structural Equation Modeling–Partial Least Square (PLS-SEM), the results showed significant effects on perceived usefulness and attitude toward use. The variable of perceived usefulness was also empirically proven to have a significant effect on attitude toward use and behavioral intention. The findings found that attitude toward use had a significant effect on behavioral intention, and then behavioral intention was empirically proven to have an effect on actual use. Mediating analysis from the variables of perceived usefulness, attitude toward use and behavioral intention also found the mediating roles. Theoretically, these findings contribute to the digital governance framework by providing empirical evidence strengthening the relevance and affirming the application of the Technology Acceptance Model (TAM) in the context of public administration. Practically, these findings have managerial implications that the application of TAM in the public administration sector is relevant to be explored with a professional management model and a user-based approach in the development of digital applications and websites.

중국 노인용 웨어러블 워치의 디자인 요소가 사용자 인식과 사용의향에 미치는 영향

With the aging of the population intensifies, the medical care of the elderly has brought a heavy burden to the social and economic development. Facing the rapid growth of the elderly population and the increasingly prominent problems of the elderly, the new scientific and technological means represented by “Internet” have provided a new way of thinking to solve the problems of the elderly. At present, wearable watches for health monitoring of the elderly have been launched in the market. This paper hopes to test the influence of design factors of wearable watches on user perception and willingness to use through the application of technology acceptance model, so as to improve the willingness of the elderly users to use the product. Technology acceptance model is mainly used to study users’ acceptance behavior and attitude towards emerging information technology. Through the first study on the design factors of wearable watches and technology acceptance model, it determined the four design factors of wearable watches including functionality, aesthetics, interactivity and compatibility, and the three variables of user perception in technology acceptance model including perceived pleasantness, perceived ease of use and perceived usefulness. In this paper, 236 questionnaires were collected by questionnaire survey. Firstly, SPSS26.0 was used to test and analyze the reliability and validity of the questionnaire data, and used structural equation software to test the model hypothesis. The results show that functionality has a positive impact on perceived pleasantness, perceived ease of use and perceived usefulness, aesthetics has a positive impact on perceived pleasantness and perceived ease of use, interactivity has a positive impact on perceived ease of use, compatibility has a positive impact on perceived ease of use, perceived usefulness, perceived ease of use and perceived pleasure have a positive impact on willingness to use. The results of the study can provide reference for the developers of wearable watches for the elderly to formulate marketing strategies, and provide data and practical theoretical basis for product design.

EKSPLORASI MODEL PENERIMAAN TEKNOLOGI DALAM MEMBENTUK NIAT MENGGUNAKAN KEMBALI APLIKASI KESEHATAN

The application of Technology Acceptance Model in the use of health applications requires development. This study examines the development of an extended Technology Acceptance Model by adding the variables of convenience, perceptual disturbance, and self-efficacy. Respondents in this study were users of the Halodoc health application, as many as 250 respondents were selected based on purposive random sampling. Hypotheses testing were carried out using SEM (Structural Equation Modeling) analysis with the AMOS method which resulted in seven supported hypotheses and two unsupported hypotheses, namely perceptual disturbances which had no effect on perceived usefulness and perceived ease of use. The test results indicate the intention to reuse the Halodoc health application because the user gives a positive attitude towards the health application. The high positive attitude is due to the user's perception that health applications provide ease of use and usefulness in their use which are formed by convenience and self-efficacy, not because of disturbances perceived by application users. The implication of the results of the study is the need to provide convenience in use and provide confidence for users that the application is easy to use and useful, thereby increasing attitudes and intentions to continue using.

Innovation and Self-Service Technology Adoption in a Semi-Urban Community in Ghana

This paper reports the results of an investigation that tests the applicability of technology acceptance model (TAM) in understanding consumers’ attitude to self-service financial technologies (SSTs) and the determinants of their adoption decisions in a semi-urban community in Ghana. A quantitative cross-sectional research approach was adopted to collect data from 372 randomly selected respondents for the study. The hypothesized model was subjected to structural equation modelling. The results show that usefulness of the technology to consumers combined with trust, reliability, and security influence consumers’ adoption decisions. The results further indicate that SSTs provides a pathway to financial inclusion and can stimulate small enterprise development and job creation in Ghana’s semi-urban communities.

The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran

BackgroundWireless Sensor Networks (WSNs) are environmentally friendly technology supporting more timely and cost-effective farm management and production. Noting that the adoption rate of WSNs is particularly low in emerging and developing countries, agricultural professionals can play a key role in facilitating WSN adoption through dedicated training and extension activities. ObjectiveThis study examines the determinants of the agricultural professionals' intention towards WSN diffusion using an extended version of the Technology Acceptance Model (TAM). MethodologyData was collected from 109 professionals in Khuzestan province, Southwest Iran. The data was analysed using a Structural Equation Modelling (SEM) approach in SPSS Amos. ResultsThe key constructs of an original TAM significantly affected the intention expressed by the professions and explained 40 % of its variance. By adding additional constructs of knowledge, confidence, social influence and facilitating conditions, the extended TAM significantly improved the explanatory power of the original model to 54 %. By adding control variables, the inclusive TAM explained 60 % of the variation in the professionals' intention. ConclusionThe findings of this study provide a clearer understanding of the decisive factors affecting the promotion of WSNs and can provide a valuable frame for policy and decision-makers to develop WSN policy and practical plans.