Technology Acceptance Model Factors Research Articles

Measuring Students’ Use of Mobile Applications in English Speaking Learning Based on the Technology Acceptance Model

This research employs the Technology Acceptance Model (TAM) to explore how Chinese college students respond to using a mobile app (Duolingo) for learning English. The aim is to analyze the connections between TAM factors and the utilization of the mobile app (Duolingo) in English learning. The research involved 98 second-year students majoring in non-English subjects who adopted a blended learning approach for English. The findings reveal a strong positive link between the practical use of the mobile app (Duolingo) and students’ attitudes and intentions. Additionally, computer self-efficacy is positively correlated with variables like perceived usefulness (PU), actual use, perceived ease of use (PEU), attitudes, and intentions. Notably, there is no observed link between gender, experience, and the model variables.

Driving forward together: The common intention of Indonesians in different residential areas to use autonomous vehicles

Despite the significant benefits of Autonomous Vehicles (AVs) for global transportation, Indonesia's diverse geographical landscape encounter unique adoption challenges due to infrastructural shortcomings and economic limitations. This study explores the adoption of AVs in Indonesia, considering its potential market and crucial role in AV and Electric Vehicle supply chains. Drawing upon the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), we assessed AV acceptance across Indonesia's Metropolitan Cities, frontier regions (“3T”), and the New National Capital City (IKN) areas. Using a cross-sectional study design, we distributed an online questionnaire, focusing on demographics, perceived safety, transport mode changes, and behavioral intention towards AVs, based on TAM and UTAUT factors. From 1,255 valid responses, we found significant influences of gender (t (1253) = 4.22), safety perceptions (F (2,1252) = 52.373), and transport mode frequency (F (4, 1250) = 6.662) on AVs adoption intentions. Both TAM and UTAUT models were moderately effective in explaining willingness to use AVs (R2 = 34% and 48%, respectively). TAM highlighted perceived usefulness (β = 0.421) and ease of use (β = 0.540), while UTAUT emphasized effort expectancy (β = 0.317) and social influence (β = 0.240). However, the findings from the multigroup analysis did not corroborate the role of residential areas in determining the intention to use AVs. These findings offer crucial insights for developing AV promotion strategies, creating user-friendly designs, and formulating supportive policies for AV adoption in diverse Indonesian regions.

Unrevealing Voice Search Behaviors: Technology Acceptance Model Meets Anthropomorphism in Understanding Consumer Psychology in the U.S. Market

Voice search technology has surged in popularity in recent years, reshaping the way people interact with digital devices. This study investigates the multifaceted factors influencing voice search behaviors, considering the evolving landscape of online search methods. By integrating the technology acceptance model (TAM) and anthropomorphism theory, this research aims to offer valuable insights for developers, marketers, and policymakers interested in voice search technology. Through an online survey targeting experienced voice search consumers in the US, the study examines the impact of TAM factors (perceived usefulness, ease of use, quality satisfaction) and anthropomorphism traits (narcissism, Machiavellianism) on the intention to use voice search. Results from hierarchical regression analysis show that perceived usefulness, ease of use, and quality satisfaction positively affect the intention to use voice search. Additionally, narcissism and Machiavellianism positively affect the intention to use voice search. By merging TAM and anthropomorphism theory, this study enhances our understanding of voice search behavior and AI-driven technology adoption.

Determinants of online shopping behavior for organic vegetable products through digital marketing platforms

This research aims to analyze factors that can influence online organic vegetable purchasing behavior through digital marketing platforms. The sample of respondents in this study used a quota sampling technique, consisting of 10 shops/outlets that sell organic vegetables online. From the 10 shops/outlets, 20 respondents were obtained for each, so the number of respondents in this study was 200 people. The analytical method used is PLS Structural Equation Modeling (SEM) analysis. The results of this research show that consumers' online buying interest in organic vegetable products is directly influenced by personal factors and consumer psychological factors and indicators of interest in using the technology acceptance model, but is not influenced by cultural factors, social factors and consumer technology acceptance model factors . The factual online purchasing factors of consumers of organic vegetable products are directly influenced by personal factors and consumer buying interests.

Students’ Acceptance Of Digital Exams: A Case Study In A Swedish University

In this paper we present the results of a case study in a Swedish university regarding students’ acceptance of digital exams. Technology Acceptance Model (TAM), which has been widely used in research concerning technology acceptance, was used to measure the level of students’ acceptance of digital exams. The aim of the study is to investigate students’ acceptance of digital exams and if there are any factors that are responsible for this behavior. A survey based on the two main factors of TAM, perceived ease of use and perceived usefulness, was conducted. The survey was targeting the degree of acceptance along with students’ demographic characteristics. The results showed that the students demonstrated a high degree of acceptance of digital exams, with students in their second and third year having a more positive perception rather than students in their first year. However, other factors, such as gender, subject, and age did not appear to have a strong impact on the overall acceptance of digital exams but did show a moderate impact on external factors such as perceived accessibility and computer self-efficacy, which work as predictors for perceived ease of use for a system. Overall, the knowledge about the level of acceptance of the students is valuable since we can highlight strengths and weaknesses associated with digital exams. This can be a useful tool in deciding upon a suitable digital solution for digital exams, as well as in learning how to increase the level of acceptance among the students in the future.

Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model

This study focuses on predicting the online purchase intention of consumers purchasing from e-commerce platforms using an integrated model of the theory of planned behavior (TPB) and extended technology acceptance model (TAM). The results showed that TAM factors, perceived value, and perceived enjoyment had significant effects on attitude toward online purchase, while the TPB inputs, perceived enjoyment, and e-commerce exchange image played strong roles in influencing online purchase intention. The results also showed that perceived enjoyment helped to raise the predictive power of attitude dramatically, while the e-commerce exchange image contributed a high portion to explain online purchase intention variation. The results indicated that the e-commerce trading platforms need to focus on improving their images and on increasing customers’ experience to improve their business performance.

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Purpose of the study: The purpose of the study was to discuss the impact of the TOE factors on FinTech Adoption and Financial Performance and the role of organizational readiness as moderation in Jordanian commercial banks. Theoretical framework: In order to examine how to embrace Fintech and its effects on Financial Performance, this study provides an enhanced technology acceptance model (TOE) that includes relative advantage, top management support, competitive pressure, and technological compatibility. Method: A questionnaire that we created and distributed to bank managers, department heads, and supervisors working for Jordanian commercial banks yielded 215 valid replies. To test the hypotheses, we used a structural equation model (SEM) to analyze the data and examine the correlations between all latent variables. Results and conclusion: The results reveal that a positive and significant relationship between Relative Advantage, Top Management Support, and Competitive Pressure on Fintech Adoption and technological compatibility has an insignificant effect on Fintech Adoption, Also showed a positive and significant relationship between Fintech Adoption and Financial Performance. The significant moderating positive effect of organizational readiness on the relationship between Technological Compatibility and Competitive Pressure and Fintech Adoption. This study also shows that does not have a significant moderating positive effect of organizational readiness on the relationship between Relative Advantage, Top Management Support, and Fintech Adoption. Search implications: The study's findings imply the need for further research and exploration into FinTech Adoption to improve the financial performance of commercial banks to remain competitive in the market. Originality value: This research contributes to integrating the adoption of Fintech's trust with TOE, this study adds to the body of knowledge on the usage of Fintech in banks by offering a more thorough understanding of the factors that influence users' views.

The Moderation of Organizational Readiness on the Relationship Between Toe Factors and Fintech Adoption and Financial Performance

Purpose of the study: The purpose of the study was to discuss the impact of the TOE factors on FinTech Adoption and Financial Performance and the role of organizational readiness as moderation in Jordanian commercial banks.
 
 Theoretical framework: In order to examine how to embrace Fintech and its effects on Financial Performance, this study provides an enhanced technology acceptance model (TOE) that includes relative advantage, top management support, competitive pressure, and technological compatibility.
 
 Method: A questionnaire that we created and distributed to bank managers, department heads, and supervisors working for Jordanian commercial banks yielded 215 valid replies. To test the hypotheses, we used a structural equation model (SEM) to analyze the data and examine the correlations between all latent variables.
 
 Results and conclusion: The results reveal that a positive and significant relationship between Relative Advantage, Top Management Support, and Competitive Pressure on Fintech Adoption and technological compatibility has an insignificant effect on Fintech Adoption, Also showed a positive and significant relationship between Fintech Adoption and Financial Performance. The significant moderating positive effect of organizational readiness on the relationship between Technological Compatibility and Competitive Pressure and Fintech Adoption. This study also shows that does not have a significant moderating positive effect of organizational readiness on the relationship between Relative Advantage, Top Management Support, and Fintech Adoption.
 
 Search implications: The study's findings imply the need for further research and exploration into FinTech Adoption to improve the financial performance of commercial banks to remain competitive in the market.
 Originality value: This research contributes to integrating the adoption of Fintech's trust with TOE, this study adds to the body of knowledge on the usage of Fintech in banks by offering a more thorough understanding of the factors that influence users' views.

The Role of Technology in English Language Learning in Online Classes at Tertiary Level

The primary objective of the study is to investigate the relationship between the TAM (Technology Acceptance Model) factors and online applications usage for language learning. Additionally, the influence of gender and prior technology use practice have been investigated by the study. In order to comprehend the user's responses to the technology used for language learning, this study used a quantitative approach and a TAM questionnaire to collect data. The study's participants are one hundred undergraduate English as a second language students who took online courses during the COVID-19 pandemic. Students' behavioral intentions, attitudes, and app use were found to be significantly positively correlated in the research results. Besides, a positive affiliation exists between the factors; seen usability, perceived use, genuine use, and behavior. In addition, the experience has been found to be positively correlated with TAM factors, whereas gender does not appear to be associated with any TAM factors. The study suggested using technology in the classroom to make learning a second language more fun for students.

Citizens' intentions to use e-government during the COVID-19 pandemic: integrating the technology acceptance model and perceived risk theory

PurposeBased on the technology acceptance model (TAM) and perceived risk theory (PRT), this study proposes a new model for exploring factors affecting citizens' intentions to use e-government in the Vietnamese context during the COVID-19 pandemic.Design/methodology/approachThe current study takes the form of a case study of the Vietnam context and employs a quantitative method. An Internet-based survey was conducted in Vietnam and was completed by 441 respondents. Hypotheses were tested using a two-stage structural equation model. SPSS 22 and AMOS 20 software were used for primary data analysis.FindingsThe findings reveal that factors of TAM are still valuable in predicting citizens' intentions to use e-government services during the COVID-19 pandemic. In addition, the factor of PRT, namely, perceived risk of COVID-19 pandemic, also affects citizens' intentions to use e-government services. Attitudes toward e-government play a mediating role in the relationships between perceived usefulness, perceived risk and citizens' intentions to use e-government. Examining the predictive power of TAM and PRT factors, it can be seen that TAM factors have a higher total effect on citizens' intentions to use e-government, compared to PRT factor.Originality/valueThe present study demonstrates a new model for exploring factors affecting citizens' intentions to use e-government during the COVID-19 era. It explored the effectiveness of combining TAM and PRT as well as the predictive power of each factors in an integrated model aimed at predicting citizens' intentions in the emergency context like COVID-19. This study helps us improve our understanding of e-government usage and would be of particular interest to policymakers and service providers of e-system.

CONTINUOUS INTENTION TO USE ONLINE LEARNING DURING COVID-19 PANDEMIC BASED ON THREE DIFEERENT THEORITICAL MODELS (TAM, SVT, TOE)

The novel COVID-19 pandemic has impacted educational systems in almost all countries worldwide. Traditional classes have been canceled or shifted to online mode through the affected countries. Resuming traditional face-to-face instruction might be delayed. This unexpectedly fast and mandatory shifting to online education, along with the significant challenges that face learners and instructors, has led to uncertainty regarding its future. This study aims to inspect students’ continuous intention (CI) towards online education during COVID-19, by incorporating different constructs from three theoretical models: first, conservation values( Security(SEC), Conformity(CON)) of Schwartz Value Theory(SVT), organizational support factors (Training(TR), Top management support(TS)) in Technology-Organizational-Environmental (TOE) , and the Technology acceptance model(TAM ) main factors (perceived usefulness(PU), perceived ease of use(PEU)). To achieve the research goal, a research model was developed referring to previous strong literature. The data was gathered from 310 students from Imam Abdulrahman Bin Faisal university (IAU) in Saudi Arabia, and analyzed with Structural Equation Modelling SEM-PLS. Findings show that TAM factors (PU, PEU), conservation values factors (SEC, CON), and organizational support factors (TR, TS) are important determinants for online learning adoption during COVID19 pandemic . The study provides directions for designers and developers to establish a more effective online learning environment, which is more suited for the new digitized generation during unexpected conditions.

Impact Assessment of Ease and Usefulness of Online Teaching in Higher Education in Post COVID Era

During COVID-19 and its resulting lockdown, the sudden closure of traditional offline classes resulted in the loss of education. Consequently, teaching pedagogies were unexpectedly changed, and a sudden shift towards online teaching was necessitated. The extensive availability of devices and applications made this shift easy. Nevertheless, all teachers were not equally equipped with the equivalent knowledge and resources, which could have affected their behavioral intention to continue online teaching in the future. This paper investigates the perception of university teachers to continue online teaching in higher education post-COVID. To accomplish this target, a mixed research approach was adopted. For quantitative data, 243 questionnaires were successfully collected from teachers of the top five central universities in India, using an online survey through Google forms by integrating the technology acceptance model (TAM). For qualitative data, online-focused group discussions (FGDs) with around seven teachers from different nations’ universities were done. This study is cross-sectional, utilizing TAM factors for ascertaining teachers’ behavioral intentions in India. All hypotheses were found significant by applying PLS-based SEM using smart-PLS software. This indicates that perceived usefulness and ease of use significantly impact attitude towards online teaching; further, perceived usefulness and attitude towards online teaching also significantly affect the behavioral intention of teachers to continue online teaching post-COVID era. The study helps educational institutions and respective national policymakers to define the future course of action in the education sector.

Investigating the determents of intelligent construction contract adoption: a refinement of the technology readiness index to inform an integrated technology acceptance model

PurposeThis paper aims to identify the relevant contributing constructs of readiness for the implementation of intelligent contracts (iContracts) in the construction industry. This study investigates the relationship between the personality dimensions of technology readiness index (TRI) and the system specific factors of technology acceptance model (TAM) within the context of iContracts.Design/methodology/approachDrawing insights from the extant literature and the author's previous qualitative investigations into iContract readiness constructs, a quantitative approach is used to operationalise the constructs by offering relevant statements to be measured and validated through a multiple-item scale against the users intent to accept the future iContract technology.FindingsThis study confirms and validates the relationship of the proposed iContract readiness index (iCRI) statements against the established TAM factors by offering 18 new constructs influencing technology readiness of the iContract technology. This study proves 9 of the 12 hypotheses highlighting key factors to be addressed for the successful development of the iContract technology.Practical implicationsThis paper contributes to the body of knowledge by proposing a novel iCRI that informs an iContract technology readiness acceptance model (iCTRAM) for a trending technology. The iCTRAM can guide developers in producing an appropriate iContract solution and assess the readiness of users and organisations for the successful adoption of the iContract concept.Originality/valueThis study offers a unique theoretical framework, in an embryonic field, for predicting the success of iContract implementation within construction organisations. This study combines the established studies of TRI and TAM in producing a predictive iContract readiness assessment tool.

Analysis of Factors Affecting E-Loyalty With E-Trust and E-Satisfaction as Mediation Variables on Halodoc Application Users in Indonesia

This study aims to analyze: the influence of factors that affect e-loyalty with e-trust and e-satisfaction as mediating variables on Halodoc application users. Data collection was carried out using a questionnaire. The target population of the study is individuals aged > 17 years, who have done online teleconsultation at Halodoc at least 2 times and are willing to be respondents. Determination of the number of samples is determined by 280 samples. The sampling technique used was purposive sampling. The data was processed using Partial Least Square-Structural Equation modeling (PLS-SEM). The results show that the Technology Acceptance Model factors such as user interface quality, perceived security risk, and perceived privacy have a positive effect on e-trust and information quality, perceived security risk, perceived privacy, and e-commerce awareness have a positive effect on e-satisfaction, in This study found that information quality and e-commerce awareness do not have a positive effect on e-trust and user interface quality does not have a positive effect on e-satisfaction. Finally, e-trust has a positive effect on e-loyalty and e-satisfaction has a positive effect on e-loyalty for Halodoc application users in Indonesia. Managerial implications based on the results of data analysis, Halodoc must maintain the visual design of the application, display attractive information, the quality of the features contained in the application, update and provide up-to-date health information, maintain the security of patient's data and also providing 24-hour customer service, increasing awareness by increasing service promotions, providing public webinars or health talks, providing compensation to customers if there are problems regarding the services provided by Halodoc.

Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model

The purpose of this study is to probe the influencing factors of cloud computing adoption in healthcare organizations. The study used the extended technology acceptance model (TAM) and motivation model (MM) to broaden the research model. The study proposed awareness, cost reduction, perceived security and privacy, and compatibility as extended factors of TAM. The study also proposed two-way interaction impacts of resistance to change and two-way and three-way interaction impacts of MM factors (extrinsic and intrinsic motivation). The research model was empirically tested on 512 responses gathered through a survey questionnaire by structural equation modeling. The finding concluded that all four extended factors significant predictors of TAM factors. Furthermore, resistance to change is significantly negative, and MM factors significantly positive moderate the relationship between behavioral intention and adoption of cloud computing. The MM factors also have significant three-way interaction impacts. The study's findings contributed more insight into the literature and practice of cloud computing adoption.

Influential factors to residential building Occupants’ acceptance and adoption of smart energy technologies in Denmark

Although Smart Energy Technologies (SETs) are proven effective in reducing energy consumption and improving energy efficiency in buildings, adoption of these technologies remains low. Scholars argue that lack of willingness to adopt SETs could hinder the transition to SETs. To address this challenge, this study integrates the substantial literature about technology acceptance, and applied the Technology Acceptance Model (TAM) as the theoretical framework. The research model proposed consists of TAM, and five external factors which have been selected based on literature review. A survey-based method was used, sampling more than 3,000 residents from various cities across Denmark. The validated model includes examining the effects of TAM factors and external factors (e.g., attitudes, trust, knowledge, policy, social influence, and awareness) on Behavioural Intention (BI). The majority of the results show statistically significant effects on BI at p= <0.05, except Perceived Usefulness (PU) at p= greater than 0.05. Specifically, Perceived Ease of Use (PEOU), attitudes, trust, knowledge, awareness, social influence, and policy have significant influence on BI. On the contrary, PU has no influence on BI at p = 0.904. The findings are relevant for various reasons. Firstly, it is important for ensuring residential buildings can participate in Danish energy goals. Secondly, it provides a valuable reference for relevant stakeholders such as scholars, technology providers, and policy makers to foster the adoption of SETs in residential buildings. Lastly, the findings will be added to the literature of technology acceptance.

The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors.

Mobile medical platforms (MMPs) can make medical services more accessible and effective. However, the patient-centered factors that influence patients’ acceptance of MMPs are not well understood. Our study examined the factors affecting patients’ acceptance of MMPs by integrating the theory of planned behavior (TPB), the technology acceptance model (TAM), and three patient-centered factors (i.e., perceived convenience, perceived credibility, and perceived privacy risk). Three hundred and eighty-nine Chinese respondents were recruited in this study and completed a self-administered online questionnaire that included items adapted from validated measurement scales. The partial least squares structural equation modeling results revealed that perceived privacy risk, perceived credibility, and perceived ease of use directly determined the perceived usefulness of an MMP. Perceived convenience, perceived credibility, and perceived usefulness significantly affected the patients’ attitudes toward MMPs. Perceived usefulness, attitude, perceived privacy risk, and perceived behavioral control were important determinants of the patients’ behavioral intentions to use MMPs. Behavioral intention and perceived behavioral control significantly influenced perceived effective use. Perceived credibility and perceived ease of use significantly affected perceived convenience. However, social influence had no significant effect on attitude and behavioral intention. The study provides important theoretical and practical implications, which could help practitioners enhance the patients’ use of MMPs for their healthcare activities.

What Drives Event Discovery Apps User Behaviors Among Generation Z? Evidence from Macau

The purpose of this research is threefold: (1) to develop a theoretical framework for the investigation of event discovery mobile applications (event discovery apps) usage behavior, (2) to examine the core determinants from the technology acceptance model (TAM), and (3) to study the effect of moderating factors in explaining the relationships of influential factors among young event-goers. Generation Z event discovery apps usage behavior was examined by incorporating the psychology-based TAM to understand motivational factors better. Results revealed that core TAM factors (perceived ease of use and perceived usefulness) influenced Generation Z's event discovery apps adoption behavior. Additionally, price value and perceived enjoyment, as extensions of the TAM, were found to have a significant influence on Generation Z's attitude and intention. This research contributes to the body of knowledge pertaining to the "Generation Smart" (Generation Z) by filling the void in the psychological literature on young consumerism and provide empirical research with a replicable theoretical framework. Further, for members of the festival and event industry alike (e. g., destination marketing organizations), this research offers up-to-date and insightful information that pertains to the needs of young consumers while developing self-enabled products or services to empower smart event development and advance the marketing efforts of local festivals and events.

Validation of an Integrated IS Success Model in the Study of E-Government

Electronic government (E-government) systems are becoming an integral component of government service delivery systems. Because of the rapid growth of Internet and Information System (IS) technologies in Malaysia, E-government systems are becoming more and more necessary. This study examined user attitudes, usage intensions, and satisfaction with E-government systems using the Information System (IS) success model and the Technology Acceptance Model (TAM). This study deployed a questionnaire to 714 E-government users. The questionnaire results were analysed using the structural equation model (SEM). This study found that E-government perceived ease of use and perceived usefulness were strongly influenced by IS success model constructs and perceived trust. This study also found that user attitudes, usage intensions, and satisfaction were strongly influenced by TAM factors.

Technology Acceptance Model Factors: Implications on Digital-Wallet on Interest to Buy in Franchise Business

This study aimed to determine the effect of perceived usefulness and perceived ease of use of digital wallets on buying interest in the franchise in Bone Regency. The type of research used is quantitative research—data analysis techniques using multiple linear regression analysis accompanied by T-test and F-test. The calculation process uses SPSS 23. The test results are based on the F-test of perceived usefulness, and perceived ease of use of digital wallets influences buying interest because the significant value is smaller than 0.05. Then, based on the T-test of the perceived usefulness of digital wallets on buying interest, because the significant value is smaller than 0.05 (0.000 &lt;0.05), the variable perceived ease of use of digital wallets does not affect purchase stake because the significant value is greater than 0.05 (0.638 &gt; 0.05). So only perceived usefulness is very influential on buying interest in franchises in Bone Regency, South Sulawesi Province, Indonesia. Based on the results and discussion of the research that has been described, the researchers would like to suggest that Franchise companies reconsider the aspects of Perceived Usefulness and Perceived Ease of Use to increase consumer buying interest so that the company can survive during business competition.