Technology Acceptance Model Model Research Articles

An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model

Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students’ engagement with AI courses remains a challenge. This study addresses this gap by extending the technology acceptance model (TAM) to incorporate cognitive factors such as AI intrinsic motivation (AIIM), AI readiness (AIRD), AI confidence (AICF), and AI anxiety (AIAX), alongside human–computer interaction (HCI) elements like user interface (UI), content (C), and learner-interface interactivity (LINT) in the context of using generative AI (GenAI) tools. By including these factors, an expanded model is presented to capture the complexity of student engagement with AI education. To validate the model, 210 Chinese students spanning grades K7 to K9 participated in a 1 month artificial intelligence course. Survey data and structural equation modeling reveal significant relationships between cognitive and HCI factors and perceived usefulness (PU) and ease of use (PEOU). Specifically, AIIM, AIRD, AICF, UI, C, and LINT positively influence PU and PEOU, while AIAX negatively affects both. Furthermore, PU and PEOU significantly predict students’ attitudes toward AI curriculum learning. These findings underscore the importance of considering cognitive and HCI factors in the design and implementation of AI education initiatives. By providing a theoretical foundation and practical insights, this study informs curriculum development and aids educational institutions and businesses in evaluating and optimizing AI4K12 curriculum design and implementation strategies.

Technology Acceptance Model for Smartphone Use in Higher Education

Context. The technology acceptance model (TAM) is a theoretical framework that consists of perceived usefulness (PUS), perceived ease of use (PEU), attitude toward using (ATT), behavioral intention to use (USI), and actual system use. Here, actual system use is posed by the smartphone use in higher education (SHE) described such as student self-management (MNG), student learning results (LRS), student achievements perceptions (SFB), student cost-benefits perceptions (VCB), and student expectations (EXP) that help to understand and explain how students’ acceptance and adoption of smartphone technology could be better achieved. Nowadays, after the COVID-19 pandemic, student motivation (MTV) and student quality perceptions (SQY) are two factors that reinforce the TAM model. Problem. The research confronts challenges from the dynamic and rapidly changing technology and education environments. The post-COVID-19 era introduces uncertainties, potentially affecting the TAM-SHE model's long-term sustainability. The fluidity of student preferences and technological advancements obstruct the establishment of a universally applicable framework for smartphone acceptance in education. This raises concerns about the model's adaptability and generalizability across diverse educational settings, emphasizing the careful consideration of evolving factors. Therefore, the following research question is proposed: What is the TAM for SHE empirical framework as an innovative tool? Purpose. The research aims to explore students' acceptance of smartphone technology in education using the technology acceptance model (TAM), focusing on perceived usefulness, ease of use, attitude, intention, and actual system use within smartphone use in higher education (SHE) in the context of post-COVID-19 era, the study considers student motivation (MTV) and student quality perceptions (SQY) as crucial factors enhancing the TAM-SHE framework. Methodology. We determined the following steps: Step 1. A qualitative study based on the Delphi Panel-Focus Group and Analytic Hierarchy Process (AHP) to determine the questionnaire TAM-SHE among three specialists: 1 information technology expert, 1 information technology professor, and 1 university student related to TAM for SHE and questioned about the items and factors related to the preliminary questionnaire design. Step 2. A literature review to explain the items and factors for the questionnaire (ex-ante) proposal involved in the design will be applied to more than 523 Mexican university students in the second semester of 2023. Step 3. Once all the data in the questionnaires had been collected were probed regarding the Cronbach Alpha reliability. A quantitative study on confirmatory factor analysis based on partial least square structural equation modeling (PLS-SEM) with SMART PLS (4.0.9.8) was used to probe convergent, discriminant, and nomological validity for the final conceptual TAM-SHE framework. Theoretical and practical findings. We propose a robust empirical TAM-SHE framework able to explain and predict how their factors enhance smartphone use in higher education. Transdisciplinary and sustainable innovation originality. The utilization of smartphones in higher education contributes to sustainable development by reducing educational disparities between students from different socioeconomic backgrounds. Additionally, mobile learning aligns with the Sustainable Development Goals (SDGs), particularly SDG4, by advancing sustainable quality higher education. Furthermore, it facilitates worldwide access to education, promoting a more inclusive and equitable learning environment Conclusions and limitations. For the post-COVID pandemic era, more studies are necessary to verify the new student motivations (MTV), student quality perceptions (SQY), and the actual system use factors to facilitate mobile technology in use for higher education through the technology acceptance model (TAM).

Tourists’ behavioural intentions to use ChatGPT for tour route planning: an extended TAM model including rational and emotional factors

ABSTRACT This study incorporates perceived coolness and perceived enjoyment as emotional factors into Technology Acceptance Model (TAM), which traditionally focuses on rational factors, to comprehensively understand how tourists develop usage intentions of ChatGPT for tour route planning. Structural equation modeling was utilized to analyse 491 online questionnaires. Findings support that perceived information quality is an antecedent factor of perceived ease of use and perceived usefulness. Consequently, perceived ease of use and perceived usefulness significantly influence tourists’ attitudes towards using ChatGPT for tour route planning, while perceived usefulness directly influences tourists’ behavioural intentions regarding ChatGPT usage. Moreover, perceived coolness directly affects tourists’ attitudes towards ChatGPT usage and indirectly affects their behavioural intentions through perceived enjoyment and attitudes. The primary contribution of this research lies in the integration of perceived coolness and perceived enjoyment into the traditional TAM, thus establishing a new rational-emotional extended TAM framework. This advancement provides a more comprehensive understanding of tourists’ adoption of generative AI tools such as ChatGPT for tour route planning.

DEVELOPMENT OF THE TAM MODEL OF FACTORS THAT INFLUENCE THE ACCEPTANCE OF MOBILE PAYMENTS

This study aims to develop a Technology Acceptance Model (TAM) specifically for Mobile Payment use in the public transportation environment, with a focus on users of the Jakarta MRT. The research examines the factors that influence acceptance of Mobile Payment in the city transportation context, using a quantitative survey approach of Jakarta MRT users. The study analyzed the factors underlying TAM, which includes perceived usefulness, perceived ease of use, as well as other variables that can influence Mobile Payment acceptance. The research findings will offer a deeper understanding of the determinants of Mobile Payment acceptance in public transportation and contribute to the existing literature applying the TAM model to Mobile Payment in Indonesia. The results of this study could serve as a basis for enhancing the efficiency and adoption rates of Mobile Payment systems among users of public transportation, particularly in the Jakarta MRT and other similar systems in the future.

Study on the Willingness of Mobile Advertisement Users Based on TAM Model

This study aims to explore the framework of the technology acceptance model (TAM) to examine how subjective norms, perceived precision, and perceived control can positively influence users’ willingness to adopt mobile ads by enhancing perceived usefulness. In the context of the rapid development of the digital era, mobile advertising serves as an important marketing tool. Its user acceptance directly impacts the marketing effectiveness of enterprises. Therefore, a profound comprehension of the key factors that influence user adoption of mobile ads is crucial for designing more effective mobile ad strategies. In this study, we collected the attitudes and responses of users from various backgrounds towards mobile advertising and conducted data analysis using a structural equation model. The study found that subjective norms, perceived accuracy, and perceived control are important factors influencing users’ perceived usefulness. Additionally, perceived usefulness significantly and positively impacts users’ willingness to adopt mobile ads.

Technology acceptance model in halal industries: a systematic literature review and research agenda

Purpose The continued relevance of technologies in halal industries requires managers to understand the factors contributing to such technologies’ acceptance. The technology acceptance model (TAM) is dominant in the literature that predicts user acceptance and behaviour towards technology. Despite the model’s significance, there has yet to be a systematic review of studies featuring halal sectors that use TAM. The purpose of this study is to systematically review the existing literature on TAM in halal industries to understand the research trends as well as TAM modifications and research opportunities in halal industries. Design/methodology/approach Guided by the preferred reporting items for systematic review and meta-analysis protocol, a framework-based review using the theories, contexts, characteristics and methods (TCCM) framework was conducted. The Scopus and Web of Science databases were used to retrieve English journal articles that investigated TAM in the context of halal markets. In total, 44 eligible articles were reviewed in terms of the developments and extensions of TAM in their studies across the halal industries. Findings The first study related to the use of TAM in the context of halal industries was published in 2014. The most prominent halal industry in the review, which used TAM, was Islamic finance. Indonesia was the leading economy in halal studies using TAM. Perceived usefulness was found to be a more significant factor than perceived ease of use for technology acceptance in TAM studies on halal industries. The significance of religiosity on TAM was inconsistent. Most research was done using quantitative surveys with consumers as the target sample. Research limitations/implications The studies in this review are based on the Scopus and Web of Science databases, which may be perceived as a study limitation. This study also only considered English journal articles and research in which the focus was on the use of TAM in halal industries rather than general industries with Muslim consumers. Practical implications Halal industries will continue to rely on technology for the provision of goods and services. With the rise of emerging technological innovations, this review will provide managers with an appreciation of technology acceptance across different contexts. Researchers can use the results of this review to guide future studies and contribute toward the development of this research area. Originality/value This review contributes to the Islamic marketing literature by being the first to comprehensively review the TAM model in the context of halal industries using the TCCM framework-based review approach. A research agenda is proposed to advance research on technology acceptance and TAM in halal industries.

Exploring the nexus of self-efficacy in digital literacy and technology acceptance: insights from L2 Chinese teachers

ABSTRACT This study explores the extent to which L2 Chinese teachers (Teachers of Chinese as a Second or Foreign Language) embrace and integrate technology into their teaching practices, and how their self-efficacy in digital literacy (referred to as L2CDL) influences their acceptance of technology. It extended the Technology Acceptance Model (TAM) by adding L2CDL as a key factor that influences teachers’ perceptions and behaviours regarding technology use. Utilizing a sample of 445 L2 Chinese teachers, the study adapted assessment tools and employed structural equation modelling to scrutinize the L2CDL-TAM relationship. The research centred on two primary objectives. First, it validated the applicability of the TAM model within the context of L2 Chinese education, confirming its suitability with relationships consistent with the original model. Notably, the study established a robust correlation between perceived usefulness (PU) and behavioural intention (BI). Second, it delved into the association between L2CDL and technology-related factors, revealing a significant positive correlation between L2CDL and critical elements, including PU, perceived ease of use (PEU), and BI. L2CDL has exerted an influence on the relationship between PEU and PU, with the L2CDL-PEU connection being particularly pronounced. This underscores the pivotal role of digital literacy in shaping teachers’ attitudes and behaviours towards technology adoption.

Understanding Teachers’ Perspective toward ChatGPT Acceptance in English Language Teaching

Adapting the Technology Acceptance Model (TAM) framework, this study investigates English teachers' perspectives on the intention to adopt and integrate ChatGPT in their classrooms. This study utilizes quantitative cross-sectional research with 114 respondents answering the online questionnaire. The Structural Equation Modeling (SEM) statistical analysis through SmartPLS 3.0 was employed to analyze the collected data. The result indicates that the proposed TAM model in this study can predict ChatGPT acceptance in English language teaching. Additionally, the structural model showed that perceived usefulness, ease of use, and attitude toward using significantly and positively influenced behavioral intention. Furthermore, attitude toward using and behavioral intention significantly and positively impacted actual system use. Teachers' perspectives on ChatGPT uptake and integration into English language learning are critical to technological innovation. This paper could assist teachers in Indonesia and comparable regions in understanding and adopting ChatGPT in English language teaching.

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.

A Conceptual Development of Digital Trade Adoption among Manufacturing Companies in China: A Technology Acceptance Model Approach

The proliferation of digital technologies has brought about transformative changes in various sectors, including manufacturing. In the context of China, a prominent manufacturing hub, the adoption of digital trade practices has emerged as a critical determinant of competitiveness and sustainability for manufacturing companies. This paper proposes a conceptual framework for understanding the factors influencing the adoption of digital trade among manufacturing firms in China, employing the Technology Acceptance Model (TAM) as a theoretical lens. Drawing upon extant literature and empirical insights, this conceptual paper identifies key constructs within the TAM framework, such as perceived usefulness, perceived ease of use, attitude toward digital trade, and behavioral intention, and adapts them to the specific context of digital trade adoption in the Chinese manufacturing sector. It explores how factors such as organizational readiness, technological infrastructure, government policies, and cultural factors influence the perceived usefulness and ease of use of digital trade platforms among manufacturing companies in China. Moreover, this paper extends the traditional TAM model by incorporating additional constructs such as trust in technology, perceived risk, and organizational innovativeness, which are deemed essential in understanding the complexities of digital trade adoption in a rapidly evolving technological landscape. It underscores the significance of trust-building mechanisms, risk mitigation strategies, and organizational culture in facilitating the successful implementation of digital trade initiatives within manufacturing enterprises in China. The proposed conceptual framework contributes to both theoretical and practical understandings of digital trade adoption by elucidating the interplay between technological factors, organizational dynamics, and contextual influences within the Chinese manufacturing context. By offering insights into the determinants of digital trade adoption and the mechanisms for enhancing acceptance and utilization of digital trade platforms, this paper aims to inform policymakers, industry practitioners, and scholars engaged in the promotion and facilitation of digital transformation within the manufacturing sector in China and beyond.

Using the Technology Acceptance Model to Understand Attitudes about Smartphone Translators for EFL Writing

This quantitative case study used the technology acceptance model (TAM), which was developed by Venkatesh and Davis (2000), to comprehend student attitudes related to the use of smartphone translators in the English as a foreign language (EFL) writing classroom. The study surveyed 194 undergraduate students enrolled in a required EFL writing course. The study utilized a factor reduction to group the variables into the TAM model. Standard multiple regressions were then performed on each of the three stages of the TAM. First, it was found that subjective norm (SN), voluntariness (V) and output quality (OQ) had a positive statistically significant effect on the students’ perceived usefulness (PU). Two factors did not display a statistical effect on the model: results demonstrability (RD) and the students’ perceived ease of use (EoU). In the second phase of the model, EoU and PU both had a positive statistically significant effect on the students’ intention to use (IU). However, SN did not have a statistical effect on IU as predicted in the model. The final standardized regression found that IU had a positive statistically significant effect on the students’ usage behavior (UB). The overall results indicated that the more positive a student’s SN, V, OQ, PU, and IU, the more likely the student will be to apply smartphone translators to their arsenal of mechanisms to study English. Teachers should consider including the smartphone translator in their technology toolbox in the EFL writing classroom.

Factors Influencing Behavioral Intentions to Use Digital Lending: An Extension of TAM Model

This study aims to examine the factors influencing the intention to use digital lending among users by extending the technology acceptance model (TAM) framework. Specifically, the study focuses on the perceived usefulness and perceived ease of use of the TAM model with the addition of perceived security and perceived risk as the key factors influencing the intention to use digital lending. The study uses a quantitative research design and collects data from a sample of mobile banking users who are willing to borrow through an online survey. The researcher analyzed the data with a structural equation model using Smart PLS 4.0 to test the hypotheses, including the relationships of all latent variables. The findings suggest that perceived usefulness, perceived ease of use, and perceived security influence are positively associated with the adoption of digital lending. In contrast, perceived risk was found to be an insignificant predictor in this area. The study also provides insights for bankers and policymakers to design effective strategies to boost the adoption of their services.

Exploring the intermediary effects of TikTok on Generation Z’s visit intention

Short video applications, specifically TikTok, have been widely used in the tourism industry to engage audiences during COVID-19 and the post-pandemic era. However, there is limited research on TikTok's influence on domestic tourism recovery post-COVID. Guided by the technology acceptance model (TAM), social cognitive theory, and source credibility model, this study proposes a research model to examine the effectiveness of social media influencer TikTok videos on Generation Z's visit intentions towards domestic tourism destinations in Malaysia. 201 Generation Z Malaysians participated in the self-administered online questionnaire and data were analysed using IBM SPSS and SmartPLS 4.0. The study highlighted the significant mediating effect of self-efficacy in the extended TAM model, indicating the influences of TikTok-related perceptions and SMI credibility in enhancing the audience's self-efficacy to travel to the marketed destination. This study extends existing TAM research on utilising TikTok videos with SMI as a domestic destination marketing tool in the post-COVID-19 era, offering valuable insights to practitioners on harnessing the strengths of TikTok as an effective destination marketing tool and fostering a sense of self-efficacy among tourists, thereby contributing to the sustainable recovery of the industry.

Enhancing tourist loyalty through location-based service apps: Exploring the roles of digital literacy, perceived ease of use, perceived autonomy, virtual-content congruency, and tourist engagement.

Advanced mobile functions and empowered smartphones have provided tourists with various location-based service apps that reshaped the business model of the tourism sector. Despite their importance to tourists, l-apps still have limitations, such as ignorance of tourist preferences and the mismatch between app introduction and tourist experience, therefore affecting tourist loyalty to destinations. Understanding tourist-oriented factors thus becomes critical for l-app designers and service providers. This study integrates the technology-acceptance model (TAM) into a unique context to examine the roles of digital literacy, perceived ease of use, perceived autonomy, virtual-content congruence, and tourist engagement on tourist loyalty. Our empirical test of a structural equation model based on a randomly recruited 319 customers found that tourists' digital literacy influences their engagement and perceived ease of use, which mediates the relationship between digital literacy and engagement; tourists' perceived autonomy influences their engagement. Moreover, we found the moderating role of information-experience congruency between digital literacy, perceived ease of use, and perceived autonomy and tourist engagement, thus contributing to the boundary conditions of the TAM model. Finally, tourist engagement contributes to tourist loyalty. The study contributes to the integration of the technology acceptance model with a tourist orientation. The findings also offer meaningful, practical implications and recommendations on l-app design to stakeholders of tourist destinations.

Technology acceptance determinants and consumer innovativeness influence on ASNAFS’ acceptance towards the use of e-wallet

Purpose This paper aims to examine the determinants that influence acceptance towards e-wallet apps by extending the technology acceptance model (TAM) among (asnaf), a term used for charity or gift receivers from alms tax distribution institutions also known as donee. Design/methodology/approach The review of literature and structural equation modelling approach using judgemental sampling on extended TAM and determinants of e-wallet apps’ acceptance related to asnaf (donee) were conducted in a bid to contribute to the factors that are instrumental in determining acceptance of e-wallet services among asnaf. Findings The findings indicate that the e-wallet app’s service acceptance is determined not only by perceived usefulness, consumer maqasid index and consumer innovativeness but also by subjective norms. On the contrary, consumer maqasid index and perceived ease of use do not lend themselves to be the factor of asnafs’ e-wallet acceptance. The authors extend the TAM model to determine the factors that may be influential in predicting the e-wallet app acceptance by asnaf. Research limitations/implications In assessing future outcomes when different sampling techniques are opted for and geographic coverage is expanded, this study should be considered in terms of the limited scope. Practical implications This study is intended to serve as a reference for making a significant contribution related to user acceptance factors related to alms tax-based e-wallet apps in asnafs’ context in Malaysia in terms of both theory and practice. Originality/value TAM is extended in the context of e-wallet app acceptance among asnafs’. A variable, namely, consumer innovativeness, is tested using the extended TAM model. To the best of the authors’ knowledge, consumer innovativeness in the context of asnafs’ acceptance of e-wallet apps is yet to be tested. Therefore, this paper will be a useful reference for policymakers, technologists, academicians and future researchers.

An Empirical Assessment of Technology Adoption Model in E-Commerce

Background: Over the past few decades, e-commerce has become one part of the development of electronic commerce technology. The development has caused customers' online purchasing habits to change. This research analyzes how e-commerce can be made more efficient and profitable and achieve business goals by using the Technology Acceptance Model (TAM) as a theoretical framework. Method: Data were examined using Smart's Partial Least Square (PLS) method. The widely used TAM is preferred as a suitable hypothetical model to examine how well the development of electronic commerce technology to support e-commerce. Results: The findings demonstrated that attitudes about and behavioral intentions to use were positively impacted by perceived usefulness. Research indicates that attitudes about utilizing are positively impacted by perceived ease of use, while behavioral intention to use is negatively impacted. It has also been demonstrated that behavioral intention to use is positively impacted by attitude toward usage. It has also been demonstrated that attitudes toward usage modulate the effects of perceived utility and perceived ease of use on behavioral intention to use. Conclusion: This research extends the theoretical and applied understanding needed to apply the TAM model in the e-commerce industry. This research enables business owners to better and more effectively utilize electronic commerce technology.

How does digital payment transform society as a cashless society? An empirical study in the developing economy

Purpose After analyzing these uncountable benefits of digital or cashless payment, many European countries like Sweden, Finland and Canada has been trying to convert their payment system into cashless. Following these developed countries, the Bangladesh Government has taken a decision to transfer society as a cashless society by using information technologies for adopting the fourth industrial revolution over the world. Digital payment system is among the various options available for transforming a cashless society. First, this empirical study presents demographic information and digital payment characteristics on the basis of income levels. This study identifies influential factors of adopting digital payment systems. Finally, this study aims to justify how digital payments transform the Bangladeshi economy into a cashless society in developing countries. Design/methodology/approach The study was administered to a sample of 1,000 Bangladeshi customers who had engaged in online banking transactions for the purpose of acquiring items and services through both social media platforms in Google Form format and face-to-face interactions in hard copy format. Among these, 647 questions were deemed usable and were used for data analysis, where the response rate was 68%. The SmartPLS is used to create and validate the structural equation modeling model presented for the research, as well as to evaluate the hypothesized correlations between the different constructs. Findings This cross-sectional study conducted the extended technology acceptance model (TAM) with perceived security (PS) and personal innovation (PI) variables to identify the influencing adoption factors of digital payment systems. This study finds that perceived ease of use, PI and perceived usefulness have a favorable impact on individuals’ attitudes toward adopting digital payment methods (DPMs). The study also indicated that PS did not influence negatively the adoption of digital payment system. Besides this, the adoption of digital payment will help to transform society into a cashless society in the future. Research limitations/implications Increasingly prevalent across the nation. Several variables are required to facilitate the transition toward a cashless society. This study exclusively focuses on DPMs. Additionally, the data has been obtained exclusively from a single urban area. The adoption of DPMs has become increasingly prevalent across the nation. Practical implications This study would help policymakers, marketers and bankers understand which factors affect digital payment infrastructure expansion. So, they can produce digital payment apps that are compatible with different devices, have fast transactions, are user-friendly, easy to use and highly secure to maintain good attitudes toward digital payment systems. Social implications Few studies have examined how DPMs affect cashless societies in developing countries like Bangladesh. According to researchers, to the best of the authors’ knowledge, this is the first study to explore how digital payments affect cashless society in Bangladesh and raise awareness about it. Originality/value The study extended the TAM model to PS and PI. This paper is also unique in the conceptual arguments and the subject theme of the research area.

Investigating Technology Acceptance Model (TAM) for E-Da’wah: A Systematic Literature Review

This literature review research aims to conduct a systematic review of the use of the Technology Acceptance Model (TAM) in the context of E-Da’wah. E-Da’wah is a new approach in da'wah that uses information and communication technology as a means to convey religious messages to the community. Information and communication technology has opened up new opportunities to spread da'wah more effectively and widely, but the acceptance and adoption of this technology by the public remains a relevant and interesting issue to be researched. This article will present a summary and analysis of previous studies that have applied the technology acceptance model, namely the Technology Acceptance Model (TAM), in the context of E-Da’wah. This literature review will cover some of the main variables present in the TAM model, such as perceived usefulness (perceived utility) and perceived ease of use (perceived ease of use), as well as other factors that influence the acceptance of technology in the context of E-Da’wah. In addition, this article will also discuss the results of re- cent research that has been conducted to understand user behavior in adopting E-Da’wah technology. The results of this article are expected to provide in-depth insights into the application of technology acceptance models in the E-Da’wah environment, provide a better understanding of the factors that influence the adoption of this technology, and provide direction for future research in optimizing the use of technology information and communication in da'wah efforts.

Customers Adoption and Satisfaction of E-Wallet and UPI Payment System: Evidence from India and Bangladesh

This article explores the impact of selected factors in adopting online payment platforms (AOPP) in India and Bangladesh by applying the extended Technology Acceptance Model (TAM). The factors considered are perceived trust (PT), perceived ease of use (PEU) and perceived usefulness (PU). The impacts of these factors are studied on the adoption and satisfaction of E-Wallet and UPI Payment System in India and Bangladesh. Data was collected from a sample of 199 individuals from India and Bangladesh who uses E-Wallet systems for online financial transactions. The authors have utilised the structural equation modelling (SEM) technique for testing the hypothesised relationships. It was found that three factors: PT, PEU and PU, have a significant impact on the AOPP, and the AOPP, in turn, has a positive impact on customer satisfaction (CS). It is a study of its own kind which identifies the factors impacting the AOPP using the extended TAM model and to establish a relationship between the AOPP and CS in the context of India and Bangladesh. This type of exploratory study can be helpful to the service providers for the development of strategies for the betterment of E-Wallet and UPI services.

Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism

The current study aims to establish a connection between students' behavioral concerns, namely stress and anxiety, related to the completion of academic tasks, and their integration of technology using the Technology Acceptance Model (TAM) through the utilization of Chat-GPT via ubiquitous learning (UL) procedure. To achieve this objective, data was collected from 156 students studying management science who were engaged in their final year research projects or internship reports from selected universities in Pakistan. The gathered data underwent analysis through Structural Equation Modeling (SEM) using Smart PLS software. The findings reveal a significant relationship: students' stress contributes to the emergence of anxiety, which in turn motivates the adoption of technology-assisted solutions, specifically Chat-GPT, to efficiently complete assigned tasks within deadlines working through any device from anywhere. Consequently, the perceived ease of use and usefulness associated with Chat-GPT's AI-generated text contribute to shaping students' favorable attitudes toward utilizing Chat-GPT and also play a role in reducing their stress levels. Furthermore, the study confirms that the development of a positive attitude in students acts as a driving force, compelling them to engage with Chat-GPT through ubiquitous learning (UL) procedure, ultimately resulting in increased actual usage of Chat-GPT. This pattern, in turn, contributes to stress and anxiety reduction among management science students. The study's outcomes corroborate the TAM model, which aligns with the social exchange process, demonstrating its applicability within the context of the educational setup in management sciences and its potential to enhance the learning experiences of researchers.