Components Of Technology Acceptance Model Research Articles

여행상품 라이브커머스 특성이 지각된 유용성, 몰입 및 구매의도에 미치는 영향

This study aims to understand the factors influencing the intention to purchase travel products in live commerce, a rapidly emerging form of contactless online consumption. Specifically, this study examined how live commerce characteristics (i.e., real-time interactivity, playfulness, show host awareness, shopping convenience, price value, and presence), Technology Acceptance Model components (i.e., social influence and facilitating conditions), and flow lead to purchase intention. A total of 290 valid responses were collected via an online survey, targeting individuals who have watched live commerce for travel products. Results revealed that real-time interactivity, playfulness, and presence significantly impacted perceived usefulness, whereas show host awareness, shopping convenience, and price value did not. Furthermore, flow was significantly affected by real-time interactivity, playfulness, shopping convenience, price value, and presence but show host awareness had no impact. Perceived usefulness, flow, social influence, and facilitating conditions all significantly influenced purchase intention. Additionally, a significant moderating effect of gender was observed on the relationship between flow and purchase intention. The study offers several theoretical and practical implications for enhancing understanding and promoting travel products through live commerce.

Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT

The Technology Acceptance Model (TAM) plays a pivotal role in elderly healthcare, serving as a theoretical framework. This study aimed to identify TAM’s core components, practical applications, challenges arising from its applications, and propose countermeasures in elderly healthcare. This descriptive study was conducted by utilizing OpenAI’s ChatGPT, with an access date of 10 January 2024. The three open-ended questions administered to ChatGPT and its responses were collected and qualitatively evaluated for reliability through previous studies. The core components of TAMs were identified as perceived usefulness, perceived ease of use, attitude toward use, behavioral intention to use, subjective norms, image, and facilitating conditions. TAM’s application areas span various technologies in elderly healthcare, such as telehealth, wearable devices, mobile health apps, and more. Challenges arising from TAM applications include technological literacy barriers, digital divide concerns, privacy and security apprehensions, resistance to change, limited awareness and information, health conditions and cognitive impairment, trust and reliability concerns, a lack of tailored interventions, overcoming age stereotypes, and integration with traditional healthcare. In conclusion, customized interventions are crucial for successful tech acceptance among the elderly population. The findings of this study are expected to enhance understanding of elderly healthcare and technology adoption, with insights gained through natural language processing models like ChatGPT anticipated to provide a fresh perspective.

An Empirical Study of Factors Influencing Digital Banking Intention Use in Indonesia

Purpose: The banking industry is one of the service industries that contributes to national income and serves as an intermediary institution to accommodate public funds and channel them back to productive economic activities. This study will look into the factors that influence customers' intentions to use digital banking and utilize it to their advantages and future advancements. This research uses TAM (technology acceptance model) as framework to explain the intention to adopt digital banking phenomenon. In addition to TAM components of perceived ease of use and perceived usefulness, this research also put perceived risk, trust, and inconvenience into the TAM framework. 
 Design/methodology/approach: This study using quantitative descriptive research design with conclusive research. This study use non-probability sampling with judgmental technique to 140 respondents that meet the research sampling criteria. IBM SPSS version 24 is used for multiple regression data processing and analysis.
 Findings: The findings show that perception ease of using, perceived usefulness, and perceived risk have no effect on intention to use digit banking. Furthermore, the findings confirm the positive influence of trust and convenience on the intention of using digital banking.
 Research limitations/implications: The study used Google Forms, which limited respondents' time to answer, and respondents' opinions may be prejudiced. This study's sample size reduced respondents' general representation, and the results were limited to one country. Future academics may add others variables that affect digital banking adoption into the framework. The researchers also recommend bigger sample sizes with a more diverse demographic profile of respondents.
 Practical implications: Digital banks might emphasize trust and convenience to attract new consumers. Delivering on promises will build trust in services. Digital bank providers can also emphasize their technology's convenience, which allows clients to do financial transactions anywhere and anytime.
 Originality/value: This study will serve as a reference for digital bank providers in promoting the usage of digital bank services in order to accelerate Indonesian digital bank adoption, which is still lagging behind that of other Asian countries.
 Paper type: Research paper

Factors Affecting Acceptance of E-Wallets Among UiTM Melaka Students

In the modern era, e-wallets have evolved into crucial mobile applications. It replaces conventional payment methods like using cash and debit or credit cards to complete transactions after making a purchase of goods or services. This study will examine university students' acceptance of using the Technology Acceptance Model (TAM) to determine whether they are willing to use the applications or whether they reject them. 210 students took part in the study and answered the online questionnaire that was distributed using Google Form. The demographic profile of the respondents, as well as the three TAM components that were used in this study—perceived usefulness (PU), perceived security (PS), and perceived ease of use (PEU)—were analysed. Additionally, this study examined the students at UiTM Melaka's willingness or actual use (AU) in relation to their behavioral intention (BIU). The results of the Pearson Correlation analysis revealed a positive and significant relationship between UiTM Melaka students' behavioral intention to use an e-wallet and perceived usefulness and perceived security, but the relationship became positive but insignificant with perceived ease of use. Perceived usefulness, on the other hand, emerged as the most important factor that affected respondents' behavioral intention to use an e-wallet, according to the results of the multiple linear regression analysis. The behavioral intention to use an e-wallet also demonstrated a positive influence on actual e-wallet use among UiTM Melaka students. Therefore, the research's findings were helpful in assisting businesses and the application's developer in enhancing their features and offerings, particularly regarding the safety and usability of the systems.

Technology Acceptance Model (TAM): A Bibliometric Analysis from Inception

The technology acceptance model (TAM) has long-term implications for management studies. However, the evolution of the literature on technology acceptance ideas received very little attention in the bibliographic review. Few research reviews provided a systematic overview of the development and progress of the TAM literature based on the entire citation network, while many research reviews focused on re-examining the links between TAM components through meta-analysis. This study investigates: a) how TAM research has evolved and expanded over the last 30 years; b) the main areas in which the TAM model has been used; and c) key contributors to TAM research and their collaborations. This bibliometric analysis was carried out based on 8207 papers published in the Scopus database between 1990 and 2020 to assess the feasibility of the model and its applicability. The findings revealed that early TAM research was conducted both by Eastern and Western scholars and that it has since continued to evolve and be shared widely. Nonetheless, most TAM publications have focused on the same narrow domains of computer science, social science, business, management, and accounting and the trendiest topics were usefulness, trust, ease of use, e-learning, adoption, e-commerce, and social media.

An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach

This analysis integrates the “technology acceptance model (TAM)” with the “use of gratifications theory (U&G)” to develop an embedded model that predicts the use and satisfaction of emotional icons called stickers through WhatsApp. The explanation for combining these two theories is that U&G offers accurate information and a thorough knowledge of use, while TAM theory has been firmly established in several technical implementations. A newly developed hybrid analysis procedure has been applied within this research. Using an artificial neural network (ANN), and the structural equation model (SEM) have been combined. The research also uses the importance-performance map analysis (IPMA) to present each factor’s performance as well as importance. The ANN and IPMA research have both indicated that for sticker use intention, a highly essential predictor is Socialization. An online questionnaire survey was developed to assess the recommended model. The intention to use stickers was significantly affected by “Socialization, Self Presentation, Enjoyment, Novelty, Unique Function, Perceived Ease of Use, and Perceived Usefulness”. The research's main achievement is the convergence of two separate theories into a single conceptualization to accurately calculate the TAM components when it comes to the usage of stickers in WhatsApp. Theoretically, the recommended model provides enough insight for aspects which affect the intention to use stickers with relevance to the socialization’s factors considering interpersonal aspects. Practically, the higher education decision-makers along with professionals would extract variables that are important as compared to others and policies would be developed accordingly. The deep ANN model competence has been analyzed within the research to decide upon the non-linear associations between variables of the theoretical model, methodologically.

Application of the technology acceptance model to assess the use and preferences of ICTs among field-level extension officers in Bangladesh

Investment in ICTs has not always yielded the expected results due to inadequate usage of ICTs by extension staffs. Our study aims to present a more general account of the use of ICTs and preferences of extension and advisory workers at the grassroots level. Following the technology acceptance model (TAM) and Dillman survey method, a google form was used to collect data from 131 sub-district level extension officers covering 48 (out of 64) districts of Bangladesh. Descriptive statistics and structural equation modeling was used to analyse the data and test the complex causal relationship of TAM components. Results revealed that the extension and advisory workers obtained ICT tools from the extension organization but received insufficient organizational supports to purchase internet packages, maintenance costs, and training to continue the use of it. Factor like perceived usefulness of ICTs positively influenced the extension workers' intention to use ICT-based information systems. A better understanding of the underlying reasoning behind the intention to use ICTs could aid future intervention design and facilitate ICT adoption in extension services in Bangladesh and beyond.

EFL Learners’ Perceptions Regarding the Use of Busuu Application in Language Learning: Evaluating the Technology Acceptance Model (TAM)

After the exceptional circumstances the whole world has experienced due to the COVID-19 pandemic, students have become digital natives who seek learning that overcomes the barriers of place and time. This mixed-methods study aimed at investigating EFL learners' perceptions regarding the application of Busuu in language learning, by applying the Technology Acceptance Model (TAM). The participants were 58 first secondary stage students in a Saudi private school. An online survey and a semi-structured interview were used to collect data. The results revealed that EFL learners have a positive attitude towards Mobile Assisted Language Learning (MALL). 
 Additionally, according to the TAM, the participants found the language application Busuu useful and easy to use. They also thought of Busuu as a valuable resource for language learning, which increases their motivation to be autonomous learners. However, in addition to the TAM components, the results also showed that affordance and joyfulness could be strong indicators of learners' acceptance of a particular technology. 
 Moreover, the results revealed that mobile applications might be more helpful for beginner learners than advanced ones. On the other hand, the findings also showed that Busuu might distract learners from doing their homework. Besides, the regular use of Busuu might be harmful to their eyes due to the small mobile screen size. For further research, the recommendation includes a large sample size in addition to a long-term study of EFL learners' perception towards Busuu in normal classroom circumstances. 

A Study of the Application of Technology Acceptance Model (TAM) to E learning among undergraduate students in India- A Structural Equation Modelling Approach

Technological developments in the field of education have paved the way for e-learning. Massive Open Online Courses (MOOC) and online certification courses have become widely popular among students especially those in higher education. Today, E-learning platforms have provided the end users the opportunity to pursue online certifications, gain knowledge and skills, and learn from experts in different fields from the comfort of their homes. Students are an important stakeholder in this knowledge transfer process. Therefore, it is important to understand their attitude towards e learning and their expectation from such platforms. This paper attempts to study the concept of Technology Acceptance Model (TAM) in e-learning among undergraduate students in India to understand their perception and behaviour towards e-learning. The main research methods used were: the questionnaire for primary data collection, journals and research articles for secondary data collection. Excel and Statistical Product and Service Solutions (SPSS) were used to process the collected data, test the hypotheses, statistical analysis, analyse the results and achieve research objectives. Microsoft Word was used for textual representation of final results and interpretations. Hypothetical model based on TAM was framed and six research variables were identified for the study: Perceived Usefulness, Capability, Perceived ease-of-use, Intention to Use, Trustworthiness, Actual Use. The research helped to understand the components of TAM, analyse and identify the relation between TAM and E learning, and revealed that undergraduate students in India have positive perception of E-learning.

Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context

This study was to explore factors predicting the use of e-learning during Corona Virus Disease 2019 (Covid-19) among sport science education students In Indonesia Higher Education Institutions (HEIs). The study was conducted through survey with 974 participating students from five Indonesian HEIs. An extended Technology Acceptance Model (TAM) with facilitating condition as the external factor was implemented to be the theoretical framework of this study. An analysis method through Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to measure and assess the proposed model. The findings informed that: (1) the TAM-based proposed scale has been successfully explained factors predicting the use of e-learning among Indonesian sport science students during the pandemic; (2) the finding of significant relationships between facilitating condition and perceived ease of use and between facilitating condition and perceived usefulness was reported; and (3) the significant relationships among core components of TAM were found except for one, relationship between perceived usefulness and attitude.

Use of biologic inputs among cereal farmers: application of technology acceptance model

This study sought to determine whether the technology acceptance model (TAM) could adequately explain the adoption and use of biological inputs (BI). A sample of 150 cereal farmers from Bilehsavar County of Ardabil Province, Iran, participated in this study for data collection. Two key components of TAM, i.e., perceived usefulness (PU) and perceived ease of use (PEOU), along with attitudes, intentions and usage behavior, were measured using five-point Likert-type scales and modeled using structural equation modeling (SEM). Generally, scores on all scales indicated that behavioral intention was not well known and used by farmers. Intention to use and usage behavior indicated the lowest mean scores, implying that few farmers intended to use or were using BI. PEOU showed the lowest mean score suggesting respondents perceived that BI was not easy to use. Attitude and PU scores indicated that most of the respondents had fairly negative to neutral attitudes and perceptions toward the usefulness of BI. Attitudes and intentions accounted for 52% of the variance in farmers’ behavior. Attitude and PU, in turn, accounted for 56% of variability in intentions. PU and PEOU also accounted for 64% of the variability in attitudes. Based on these findings, an extension education program to facilitate the application of BI will improve PEOU and promote farmers’ PU and intentions. Visits to demonstration farms and discussion sessions are useful to improve farmers’ attitudes and thereby to promote their intention to adopt useful technologies. Removing agrochemicals’ subsidies, providing farmers with incentives for reducing agrochemicals and increasing BI use are essential to encourage farmers in the adoption and application of BI.

Assessment of the Intention to Use Mobile Health Applications Using a Technology Acceptance Model in an Israeli Adult Population.

Background: Mobile health applications (mHealth apps) have now gained global popularity. However, evaluating the level of their use over time still remains a pertinent challenge. According to the Technology Acceptance Model (TAM), perceived ease of use and usefulness predict attitudes toward technology utilization. Together, these factors serve as determinants of behavioral intention to use the technology, which in turn predicts actual use. Purpose: We sought to elucidate factors affecting behavioral intention to use mHealth apps in an Israeli adult population sample. Methods: A modified TAM Likert Scale questionnaire-based survey was offered to 200 participants, with 168 respondents. Results: Sixty one percent of participants reported using mHealth apps on their smartphones, 81% of whom used mHealth apps from health maintenance organization providers. Generation Y participants displayed more confidence with the use of mHealth apps, and were less concerned about compromising the confidentiality of their health records. Furthermore, answers to TAM-related questions among mHealth apps users were significantly more positive, compared with nonuser TAM components that accounted for 51% of the total variance in the intention to use mHealth apps. Discussion: TAM constructs were related to the behavioral intention to continue to use mHealth apps. Health organizations as providers of mHealth apps were strong determinants of their acceptance and utilization. Generational differences in user competence were observed; however, whether user experience or interface design represents the underlying differentials remains to be elucidated, and developers of health care-related mobile technologies will need to address this question.

Investigating Academicians’ Use of Tablet PC from the Perspectives of Human Computer Interaction and Technology Acceptance Model

This phenomenological study examines academicians’ beliefs and lived experiences of using tablet PC based on Human–Computer Interaction (HCI) and Technology Acceptance Model (TAM). Participants included 15 academic staff working in a university in Turkey. Data were collected through in–depth semi–structured interviews and subjected to content analysis. Main themes emerged from the data include reasons for purchasing tablet PC, usage patterns, professional and instructional implementation, comparison of tablet with other PCs, future expectations of tablets, and opinions about tablet experiences (performance increase, advantages, health issues). The results showed that academicians were satisfied with tablet PC and used it for presentation, social media, and routine tasks. However, they did not prefer it as a first PC option and they found it inadequate for all their works due to the limitation of subject-specific applications, incompatibility issues, difficulty in writing, and tendency to maintain previous PC usage habits. The findings did not indicate any reduction in the need and use of other PCs due to tablet ownership. Overall, this study supports the interaction of HCI components (user, tool, environment, tasks) and TAM components (perceived usefulness, perceived ease of use) and their effects on the adoption and use of a technological tool.

Conceptualizing Mobile Health Application Use Intention and Adoption Among Iraqian Older Adults: From the Perspective of Expanded Technology Acceptance Model

<p>The aim of this article is to discuss how different factors affect the decision of intention to use and adopt mobile health applications using the extended technology acceptance model (TAM) among older adults in Iraq. “Perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and facilitating conditions (FC)” were four key predictors. Gender and age were included as factors for moderating the impact of two key TAM components in the proposed model (PU and PEU) on intention to use and adoption behaviors. The results of the past studies indicated that PU, PEU and SN were important predictors of adoption of mobile health applications among older adults in Iraq, While PU, SN, and FC were important predictors of the intention to use mobile health applications. Previous studies highlighted a strong impact of PEU on the intention to use mobile health applications on older adults than for younger adults. Implications are discussed for future research and practices.</p>

The UX of Banking Application on Mobile Phone for Novice Users

The aim of this article is to discuss how different factors affect the decision of intention to use and adopt mobile health applications using the extended technology acceptance model (TAM) among older adults in Iraq. “Perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and facilitating conditions (FC)” were four key predictors. Gender and age were included as factors for moderating the impact of two key TAM components in the proposed model (PU and PEU) on intention to use and adoption behaviors. The results of the past studies indicated that PU, PEU and SN were important predictors of adoption of mobile health applications among older adults in Iraq, While PU, SN, and FC were important predictors of the intention to use mobile health applications. Previous studies highlighted a strong impact of PEU on the intention to use mobile health applications on older adults than for younger adults. Implications are discussed for future research and practices.

Factors Affecting the Intentions to Use RFID Subcutaneous Microchip Implants for Healthcare Purposes

Abstract Background and Purpose: While there are many studies regarding the adoption of Radio Frequency Identification Devices (RFID), only a few of them deal with RFID subcutaneous microchip (RFID-SM) usage by individuals. After the first in vivo tests conducted on volunteers from 1998 to 2000, the use of RFID-SM in healthcare remains limited. This study examines the likelihood of adopting RFID-SM in healthcare from the end user’s point of view. Design/Methodology/Approach: The aim of this paper is to develop and evaluate the model for analysing the acceptance of RFID-SM adoption. An extended Technology Acceptance Model (TAM) for RFID-SM adoption is proposed and empirically tested in a cross-sectional study. Online survey was conducted using a convenience sample of 531 respondents. In addition to the three original components of TAM (Perceived Usefulness, Perceived Ease of Use, and Behavioural Intentions to Use), three external variables (Health Concerns, Perceived Trust, and Age) were also included in the model. The model was validated with confirmatory factor analysis and structural equation modeling techniques. Results: Perceived Usefulness has a significant impact on behavioural intentions to adopt RFID-SM in the future, while the influence of Perceived Ease of Use is not significant. The most influential external variable is Perceived Trust, indicating the lack of confidence in personal data security ensured by the state and other institutions. As expected, Health Concerns factor has a negative effect on the Perceived Trust and Perceived Usefulness of RFID-SM. Conclusion: The results of the empirical study prove that all external variables considered in the model significantly influence the RFID-SM adoption. The Perceived Ease of Use is irrelevant to the attitude towards the RFID-SM adoption. In addition to the proposed model, the analysis of gathered data shows that the positive attitude toward the use of RFID-SM in healthcare is rising.

Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones

ABSTRACTObjective: Based on the technology acceptance model (TAM), we explored the nationally-bounded roles of four predictors (subjective norms, entertainment, recordability, and networkability) in determining the TAM variables of perceived usefulness (PU), perceived ease of use (PEOU), and behavioral intention (BI) to use diet/fitness apps on smartphones. Participants/methods: College students in the US and South Korea were invited to participate in a survey. We obtained 508 questionnaires (304 from the US and 204 from Korea). Data were analyzed mainly through path analysis. Results: The four factors positively predicted the PU and PEOU of diet/fitness apps. While the effects of the predictors on the three TAM components were generally stronger among the US students than Korean students, the effect of subjective norms on the BI of diet/fitness apps was weaker among Korean students. Conclusion: Findings from the cross-national comparisons were helpful for thoroughly understanding the contextualized mechanisms involved in the adoption of diet/fitness apps.

Extended Technology Acceptance Model for SPSS Acceptance among Slovenian Students of Social Sciences

Abstract Background and Purpose - IBM SPSS Statistics is among the most widely used programs for statistical analysis in social sciences. Due to many practical values it is frequently used as a tool for teaching statistical concepts in many social science university programs. In our opinion, motivation to learn and to use SPSS during the studying process plays a significant role in building a positive attitude towards SPSS which influences its usage at the professional level after finishing study. Design/Methodology/Approach - The aim of this paper is the development of the model for analysing the acceptance of the SPSS among university students of social sciences. The model is based on the widely known Technology Acceptance Model (TAM). In addition to the traditional components of the TAM, six external variables were included. The model is tested using the web survey on the university students of social sciences from seven faculties at three Slovenian universities. Results - The evaluation of the questionnaire was performed. Descriptive statistics were calculated. The dependencies among the model components were studied and the significant dependencies were pointed out. Conclusion - The results of the empirical study prove that all external variables considered in the model are relevant, and directly influence both key components of the traditional TAM, ≫Perceived Usefulness≪ and ≫Perceived Ease of Use≪. Therefore, our model is useful to study the adoption and continuous utilization of SPSS among the students of social sciences. The obtained results are useful for educators, and can help them to improve the learning process.

Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective

The purpose of this paper is to discuss how various factors intertwine to affect Chinese older adults’ decisions to adopt the Internet by applying the expanded technology acceptance model (TAM). Perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and facilitating conditions (FC) were four key predictors. Gender and age were included in the proposed model as factors to moderate the effect of two key TAM components (PU and PEU) on adoption behaviors. The results indicate that PU, PEU, and SN were significant predictors of Internet adoption among Chinese older adults, while PU, SN, and FC were significant predictors of Internet use intention. The effect of PEU on Internet use intention was also found to be stronger for older seniors than younger seniors. Implications for future research and practices are discussed.

Antecedents of Virtual Community Satisfaction and Loyalty: An Empirical Test of Competing Theories

The rapid growth of virtual communities (VCs) on the Internet raises important research questions regarding the antecedents of satisfaction and loyalty in VCs. This study compared the technology acceptance model (TAM), Seddon Information Systems Success Model (Seddon model), and an integrated model (combining the TAM and Seddon model) to examine which model best helps to predict user satisfaction with VCs. Using a structural equation model, data collected from 198 community members were used to compare the three models in terms of overall model fit, explanatory power, and path significance. The findings show that two TAM components (perceived usefulness and ease of use) are determinants of user satisfaction with VCs. This study also found the influence of quality-perception dimensions (e.g., system and information quality) on user satisfaction to be significant. Additionally, this study found general support for user satisfaction as a determinant of loyalty in VCs. Finally, an integrated model, combining the TAM and Seddon model, provided better explanatory power than either the TAM or the Seddon model alone. Finally, this study discusses the implications of these findings and offers directions for future research.