Technology Acceptance Research Articles

Book Review: The Technology Acceptance Model - 30 Years of TAM by Fred D. Davis and Andrina Granic.

The book “The Technology Acceptance Model – 30 years of TAM” by Davis and Granic is a retrospective, a state of play and a look forward at the Technology Acceptance Model. It will appeal to a cross section of readers, including those new to the field, existing researchers and people interested in theory development. The book is divided into three sections plus an appendix. These cover, respectively, the development of the theory, described in terms of Smith and Hitt’s theory of development, a review of recent research in the field, presented as a meta-review of work between 2003 and 2023, a proposal for the future development of the theory via NeuroIS and set of principles for refining the theory a variety of contexts. The book is comprehensive, systematic and thought provoking. It is an interesting addition to the body of work on technology acceptance.

Artificial Intelligence, Financial Services Knowledge, Government Support, and User Innovativeness: Exploring the Moderated-Mediated Path to Fintech Adoption

Based upon an extended Technology Acceptance Model (TAM), this study aims to investigate the impact of financial services knowledge, familiarity with the use of artificial intelligence, government support, and user innovativeness on Fintech adoption from the perspective of university students. Furthermore, the study also aims to investigate the mediating role of user innovativeness in this relationship. A cross-sectional, survey-based method was used to collect data from 410 university students. Structural equation modeling was implied to examine the research framework of the study. The findings confirm that financial services knowledge, familiarity with artificial intelligence, government support, and user innovativeness have a direct positive impact on Fintech adoption among university students. The results also show that perceived ease of use slightly moderates the relationship between government support and user innovativeness. Meanwhile, results from the mediation analysis reveal an indirect effect of these variables on Fintech adoption through user innovativeness. The study’s findings recommend practical suggestions to academic institutes and Fintech service providers to equip university students with the necessary financial knowledge and familiarity with artificial intelligence across various disciplines, which can be achieved through sufficient government support. All these can potentially revolutionize Fintech services adoption and boost economic growth, specifically in Asia-Pacific developing countries. The study identifies the key antecedents that affect the student’s decision to adopt Fintech. It widens the scope of Fintech adoption by considering the university students who may serve as the future managers for the nation. It provides nuanced evidence on the role of financial services knowledge and familiarity with the use of artificial intelligence on the intention to adopt Fintech among university students in Asia-Pacific developing countries like Pakistan.

The Moderating Effect of App Trustworthiness and User Attitudes on Intention to Use Adopt Mobile Applications Among Employees in The Oil and Gas Industry

In today’s technologically advanced world, the adoption of mobile applications has become a transformative force across various industries, significantly impacting the way businesses operate and manage their processes. One area where mobile applications are making a remarkable impact is in the realm of Occupational Health and Safety (OHS). The integration of mobile applications in OHS practices has ushered in a new era of efficiency, accessibility, and data-driven decision-making, elevating workplace safety standards to unprecedented heights. Occupational health and safety are paramount concerns for organizations as they strive to create safe and healthy work environments for their employees. Historically, OHS management relied on manual and paper-based processes, which could be time-consuming, error-prone, and challenging to track comprehensively. However, with the advent of mobile technology, organizations now have the opportunity to streamline their OHS protocols, enhance communication, and proactively manage workplace risks, all through the convenience of mobile applications. This research aims to analyze the effects between perceived ease of use and the attitude towards the use of the mobile application. Perceived usefulness of applications on Attitude towards the use of the app, attitude towards the use of the app on intention to use the application. The population of this research is the employees from the oil and gas industry in Malaysia. The theory of the Technology Acceptance Model (TAM) was applied. Perceived danger, perceived utility, perceived ease of use, and perceived intention to use were the antecedents for mobile apps. Employees’ intentions to use mobile applications were shown to be significantly influenced by their satisfaction with the information system and their inventiveness. In this study, devices were categorized as large or small according to their screen size, while respondents were categorized as young (<30 years old) or old (>30 years old) according to their age. A data collection of 545 responses to an online survey with 32 questions was obtained for analysis. The survey was distributed via email to respondents using a Survey among employees. The factors impacting the intention to use mobile applications were investigated using structural equation modeling. We looked at the moderating impact of the app’s trustworthiness on users’ intentions to use/adopt it. The variables’ responses for perceived ease of use, perceived usefulness, attitude towards the use of the App, trust (integrity) of the App, and intention to use/adopt the application varied significantly between the subgroups, according to the results. The study also showed the existence of moderating effects on the intention to use/adopt an app related to the trust integrity of the app. This paper discusses the survey, the findings, and the ramifications of the observations. This research contributes to the current literature by presenting empirical evidence on the importance of trustworthiness and user attitudes in mobile app adoption in the oil and gas industry. It also discusses the broader implications for improving workplace safety through the strategic use of mobile devices in OHS practices.

Computational Thinking Integrated in School Subjects – A Cross-Case Analysis of Students’ Experiences

The integration of computational thinking (CT) into K-12 education offers substantial potential to improve digital literacy and deepen students’ understanding across various subject areas. By embedding computational procedures and solution-oriented approaches into traditional curricula, students can develop essential skills that are critical for thriving in an increasingly digital world. However, the effective integration of CT into subject-specific learning poses challenges for educators, largely due to a lack of training and experience in implementing interdisciplinary instructional strategies. This study explores the impact of integrating CT into K-12 education through diverse instructional approaches, including modelling, storytelling, and unplugged activities. The research examines how students' subject knowledge, CT concepts, and practices evolved under each CT integration practice, as well as their acceptance toward CT integrated lessons. The study was conducted in different subjects, including language arts, biology, and physics, and at different grade levels. The technology acceptance model was used as a theoretical framework to understand students' adoption towards the different integration practices. The study revealed that different CT integration practices yield varying impacts on students' attitudes, particularly in relation to their prior programming experiences. Namely, primary school students with prior programming experience display a higher behavioural intention due to a lack of early biases toward programming. Conversely, secondary school students, less familiar with interdisciplinary approaches, initially show less enthusiasm for future engagement. These insights underscore the need for tailored instructional strategies that consider students' prior experiences and the broader goal of preparing them to contribute to a technologically driven society.

ChatGPT as a tool for self-learning English among EFL learners: A multi-methods study

This study investigates the factors influencing ChatGPT acceptance in self-directed English language learning and explores its potential to enhance the learning process. A multi-methods approach was employed, comprising a systematic review of 40 empirical articles, a quantitative survey of 344 English as a Foreign Language (EFL) learners, and 19 semi-structured interviews. Results indicated that interactivity, enjoyment, trust, and subjective norms significantly affect continued use through perceived usefulness, while human-likeness, self-efficacy, and technology anxiety influence it through perceived ease of use. EFL learners utilize ChatGPT for both primary and secondary English learning purposes, supporting various language dimensions including reading, writing, vocabulary, and grammar. The study also identified both passive and active language learning engagement facilitated by ChatGPT. This research contributes to the field by proposing an extended Technology Acceptance Model and a conceptual framework for chatbot-assisted language learning. For chatbot developers, the findings underscore the need to enhance interactivity, human-likeness, enjoyment, and trust while minimizing technology anxiety to increase sustained use. Educators can utilize these insights to better integrate ChatGPT into their curricula, supporting diverse language skills and engaging learners more effectively. Together, these findings provide concrete guidance for enhancing the design and implementation of AI chatbots in language learning contexts.

Digital Wallet Adoption Through Service Quality in Rupandehi District of Nepal

Purpose: This research aims to investigate the dynamics of digital wallet usage in Rupandehi District considering service quality and accommodate the elements that influence digital wallet adoption. Methods: Data were obtained via a self-administered questionnaire using a convenience sampling method. Three hundred ninety seven bank customers, who use mobile banking services, were selected as sample. Smart PLS 4 was used to evaluate the model. The questionnaire addressed two components of the technological acceptance model namely perceived ease of use and perceived usefulness. Service quality model was used considering perceived risk and financial risk.Results: Perceived ease of use, perceived usefulness and service quality have positive and direct effects on the adoption of digital wallets. The study reveals the consequences for businesses and customers in Nepal’s changing digital environment through service quality and digital wallet usage.Conclusion: Investments and internet connectivity and mobile networks are keys to expanding digital wallet access. It is important to understand technology acceptance, service quality, and financial risk in digital wallet adoption.

Assessment of Student Satisfaction with E-learning in Jordan Using TAM and UTAUT as a Mediator for Synchronous and Asynchronous Learning

This study aims to evaluate student satisfaction with e-learning in Jordan by combining the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). This research also delved into the study of the mediating role played by both synchronous and asynchronous learning and their impact on students’ satisfaction with e-learning. Data was collected through a questionnaire distributed to 590 students studying at four private Jordanian universities in northern Jordan. To analyse the study model, Smart PLS was used because it offers a robust methodology for such complex constructs. The results show that both synchronous and asynchronous learning significantly and positively affect students’ satisfaction with e-learning. The results also revealed that the relationship between synchronous learning and perceived usefulness was statistically significant. Regarding asynchronous learning, the relationship with perceived ease of use was positive and statistically significant. Turning to the TAM and UTAUT variables as independent variables, the results revealed a direct and statistically significant relationship between these variables and students’ satisfaction with e-learning. This study provides valuable insights into the factors that influence student satisfaction with e-learning in Jordan and presents a new approach by integrating synchronous and asynchronous learning as a mediator within the TAM and UTAUT frameworks. The findings highlight the nuances of technology acceptance and use in the context of e-learning, which can benefit educational institutions and policymakers in enhancing the e-learning experience for students in Jordan.

Managerial practices for app-based primary care telemedicine service acceptance in South Africa

Purpose: This study addresses the qualitative research phase of a mixed methods study conducted to investigate patient acceptance of an app-based telemedicine service for primary care aimed at South African public health care sector patients.Design/methodology/approach: Qualitative data were collected by means of semi-structured individual interviews with patients who had exposure to an existing app-based primary care telemedicine service in South Africa named Kena Health. Thematic analysis of the qualitative data using ATLAS.ti software was conducted to identify the relevant antecedents of telemedicine service acceptance in the study’s context.Findings/results: Eight antecedents of app-based primary care telemedicine service acceptance among South African patients (who are predominantly reliant on public health care sector services to receive medical care) were identified, namely, perceived compatibility, perceived ease of use, relative advantage, price value, trust, innovativeness, privacy perception and care perception.Practical implications: To date, prior literature has not yet identified the specific antecedents that would apply to the acceptance of an app-based telemedicine service for primary care among South African individuals who are predominantly reliant on the country’s public health care system to receive medical care.Originality/value: Our study contributes to the literature by identifying which existing factors of technology acceptance apply to primary care telemedicine service acceptance, predominantly in the South African public health care sector context. Furthermore, additional antecedents of telemedicine service acceptance that have not been included in technology acceptance theory until present, that is, (positive) privacy perception and care perception are identified.

Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application

My TelU Mobile is a learning support application released by Telkom University on May 25, 2021. This application can be downloaded on the Play Store and App Store and has become a super app that has quite a high number of downloads. However, its user traffic is not yet stable, as seen in the decreasing usage traffic during the lecture period. The purpose of this study was to determine the factors that influence the acceptance and use of the My TelU Mobile application using an integration of the UTAUT-2 and Delone & McLean models. This study uses a quantitative method with descriptive and causal research types. The sampling technique uses a non-probability sampling technique of the purposive sampling type with a sample size of 400 respondents. The data analysis technique uses descriptive analysis and PLS. The findings of this study are that effort expectancy, information quality, service quality, user satisfaction have a significant effect on continue use intention and system quality, information quality, service quality have a significant effect on user satisfaction. However, performance expectancy, social influence, facilitating condition, habit, hedonic motivation, and system quality do not have a significant effect on continue use intention of My TelU Mobile application.

An Empirical Analysis of E-Takaful Participation Readiness (ETPR) Among Individuals in Malaysia

Increased digitalization is one of the tailwinds expected to impact the Islamic Financial Services Industry (IFSI), including the takaful industry, which is growing at up to 5.2% globally. Despite the increasing penetration of digital technologies, the participation rate in online takaful remains disproportionately low. Hence, a call for a digital platform is seen as vital in the current economic situation to further reach out. This research suggests an integrated model of e-takaful participation readiness (ETPR) and empirically tests the model. Furthermore, this study opts for primary data via a structured online survey adapted from previous studies using a purposive sampling technique. Partial Least Square - Structural Equation Modelling (PLS-SEM) is the main statistical technique used in this study. Based on the perspective of user acceptance of information technology, the current research significantly expands on factors influencing e-takaful participation readiness among 395 individuals such as religiosity, attitude, and takaful literacy. Past studies have visited the topic of e-banking readiness, but limited studies focused on its relation to the e-takaful area. This study is a pioneer in examining consumer participation readiness toward e-takaful services particularly during the digital shifting process due to pandemic. The results supported the measurement model's prediction that each research measure's reliability and validity requirements were met. All the proposed hypotheses were found to be significant and accepted. The findings of this study suggest takaful operators in Malaysia to critically devise their new penetration strategies and focus on giving extra value to induce takaful literacy and make room for improvement in product penetration to the target segments by understanding the factors contributing to this phenomenon. This is crucial for policymakers, takaful operators, and other industry stakeholders to develop strategies that encourage greater adoption of online participation.

Transcending Food-Miles: Unpacking the Drivers of In-Store Vertical Farming Adoption Among Food Retailers in France

This paper examines the potential of in-store vertical farming technologies in urban food retail as a solution to the increasing demand for fresh, locally sourced food. By enabling a “sell where you produce” model, vertical farming can reduce food miles, enhance traceability, and lower carbon emissions. The study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) to analyze factors influencing the adoption of these technologies among food retailers in Rouen, France, with a particular focus on the role of risk aversion in shaping attitudes and decisions. The findings highlight that performance expectancy and facilitating conditions are the key drivers of adoption intentions among retail store managers. However, perceived risks, such as high investments and operational costs, pose significant barriers, while social influence appears to have little impact on their decisions. The study underscores the importance of conducting economic evaluations and risk assessments of vertical farming practices to ensure their long-term viability. As vertical farming holds the potential to boost fresh food production in urban areas, reduce food miles, and create sustainable supply chains, it is crucial to carefully weigh its benefits and risks to support its successful adoption in urban food retail.

ANALYSING FACTORS INFLUENCING TECHNOLOGY ADOPTION BY UNORGANIZED RETAILERS USING UTAUT 2 FRAMEWORK

The swift progress of technology has greatly altered the worldwide retail environment, but its implementation among loosely organised retailers, especially in developing markets such as India, has not been thoroughly investigated. This paper examines the determinants of technology adoption among unorganised merchants in Kolkata using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) paradigm. The main objective of the study is to examine the influence of Perceived Value (PV) and Perceived Ease of Use (PEU) on the implementation of technology in this industry. The study employed a quantitative empirical approach, gathering data from 698 participants using standardised questionnaires. The data underwent analysis using Partial Least Squares Structural Equation Modelling (PLS-SEM) and the Tukey HSD Post Hoc Test statistical tests. The results demonstrate that both perceived value (PV) and perceived ease of use (PEU) have a substantial impact on the adoption of technology. Specifically, higher-income groups tend to see more value and ease in utilising technology. The findings offer important perspectives for policymakers, technology suppliers, and retail groups to formulate focused approaches that promote the digitisation of unorganised retail, ultimately improving operational effectiveness and competitiveness. The present study enhances the overall comprehension of digital inclusion within the retail sector and its capacity to stimulate economic development.

Understanding Consumer Acceptance of AI in the Leisure Economy: A Structural Equation Modeling Approach

This research examines the determinants of consumer acceptance of artificial intelligence (AI) in the leisure economy, using a structural equation model to analyze responses from 560 participants. The study focuses on several psychological factors: Perceived Ease of Use (PE), Effort Expectancy (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Perceived Value (PV), and Habit (HB), and their impact on Behavioral Intention (BI) to adopt AI technologies. Results indicate significant influence of six constructs (PE, FC, SI, PV, HM, HB) on BI, with the exception of one hypothesis. The research also assesses the role of Personal Innovativeness in enhancing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model's predictive accuracy. This study contributes to understanding AI adoption in leisure, offering valuable insights for AI application development and marketing strategies in this sector.

Navigating Patients’ Intentions in Smart Health: Insights from Novel Factors

This research aims to evaluate the extent to which a specific set of factors affect patients’ intention to adopt and use smart health applications. These factors, derived from the unified theory of acceptance and use of technology (UTAUT), include technology anxiety (TA), perceived reliability (PR), inertia (Int) and privacy concern (PC). Data were collected from 259 participants via a cross-sectional survey. The researchers employed the partial least squares (PLS) method for data analysis using SmartPLS, a statistical tool based on structural equation modelling (SEM). The findings indicate that performance expectancy, facilitating conditions, Int and PR significantly influence patients’ intentions to adopt smart health services. However, no significant relationships were found between effort expectancy, social influence, PC, TA and the intention to adopt smart health services. This study contributes to the literature by integrating additional factors (TA, PR, Int and PC) into the UTAUT framework. Limitations of the study include the cross-sectional design, which may not capture changes over time, and the reliance on self-reported data, which may be subject to biases. Future research should consider longitudinal studies to examine the evolving nature of technology adoption and explore additional contextual factors that might influence patient intentions. This research provides practical insights for healthcare practitioners aiming to enhance the adoption of smart health applications.

Literature Synthesis on the Impact of Organizational Culture and Innovation Climate on HRM Digital Technology Adoption in the Border Public Sector

This research aims to understand how organisational culture and innovation climate influence the adoption of digital technologies in human resource management (HRM) practices in the public sector, particularly in border regions. In this context, organisational culture encompasses the values and norms present in an organisation that can support or hinder change, while innovation climate refers to an atmosphere that encourages creativity and acceptance of new technologies. This research method uses a literature study approach with the following steps: 1. Literature Search: Collecting relevant sources on the application of digital technology in HRM. 2. Initial Screening: Screening literary works based on title and abstract. 3. Inclusion Criteria: Establishing criteria to select the analysed literature. 4. Literature Analysis: Analysed the selected literature to synthesise findings and relationships between factors. 5. Recommendations: Provide recommendations for organisations in the public sector. The results showed that an organisational culture that supports change and innovation positively contributes to the adoption of digital technology in human resource management (HRM). In addition, a positive innovation climate, with support for innovative behaviour, also promotes successful adoption. However, challenges in the public sector, such as limited infrastructure, may affect organisational readiness to adopt new technologies. The study's conclusions suggest that an organisational culture that supports change and a climate of innovation play an important role in the adoption of digital technologies in human resource management (HRM), especially in the public sector. Recommendations for future research include focusing on the context of border regions, conducting longitudinal studies to understand the evolution of technology adoption, as well as exploring other factors such as infrastructure and government support that may influence the adoption process.

Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application

Continue Use Intention Analysis Using The Integration of The Unified Theory of Acceptance and Use of Technology (UTAUT) 2 and Delone & Mclean (D&M) Models Modified in The My TelU Mobile Student Account Application

Transforming Mosque Financial Management: Utaut Insights into E-Payment Readiness

This paper aims to summarize studies on the Unified Theory of Acceptance and Use of Technology (UTAUT) in e-payment readiness and identify the research gap. The study used a systematic literature review method. A total of 33 articles on UTAUT were published over the past five years, from 2019 to 2023. The 33 articles were the subject of the study. The data were collected by studying documentation of several previous articles through database searches such as Web of Science and Scopus. The data analysis techniques were quantitative (statistical) and qualitative (descriptive). This study indicated that 33 articles highlighted UTAUT in e-payment readiness, demonstrating that there is still a lack of studies involving e-payments at mosque institutions, especially among management groups. The findings will provide mosque authorities with a comprehensive overview of mosque financial digitalization for more relevant and efficient fund collection methods.

Microbial Fuel Cells for Bioelectricity Generation: Current Innovations, Challenges, and Future Prospects

Abstract: Microbial Fuel Cells (MFCs) have emerged as a compelling technological advancement that utilizes microbial metabolic processes to produce electricity from organic waste substrates. This review examines the latest advancements, prevailing challenges, and prospective developments of MFCs in relation to renewable energy generation and ecological sustainability. MFCs present a dual benefit by facilitating wastewater treatment while concurrently generating bioelectricity, thereby rendering them appealing for decentralized energy frameworks and waste management strategies. Recent progress in the fields of genetic engineering and synthetic biology has culminated in the development of optimized microbial strains and improved biofilm stability, which significantly enhances the efficiency of electron transfer. Innovations in electrode materials, including carbon nanotubes and graphene, have further augmented the performance metrics of these systems. Nevertheless, obstacles persist in augmenting power output, minimizing material costs, and scaling MFCs for larger industrial applications. This review also elucidates the environmental and economic implications of MFCs, particularly their capacity to mitigate carbon emissions and generate financial savings in the domain of wastewater treatment. Lastly, we delineate future research trajectories, concentrating on synthetic biology, hybrid renewable systems, and commercialization strategies that will catalyze the scalability and wider acceptance of MFC technology. The prospects for MFCs are indeed promising, providing innovative solutions to the pressing global challenges of energy production and waste management.

Social Networks and Digital Influencers in the Online Purchasing Decision Process

Social networks have become a significant part of people’s daily lives, particularly in the purchasing process. In this context, digital influencers have played an essential role in shaping consumers’ opinions. In this sense, studying the role of social networks and influencers in the online product purchase decision process was considered pertinent. We selected two technology adoption models to fulfill this purpose: the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). We conducted an exploratory study using a quantitative approach, with data being collected through a questionnaire distributed online. The statistical analysis of the empirical model employed a partial least squares structural equation modeling (PLS-SEM) technique. Analyzing the 135 responses allowed us to conclude that social networks are relevant in consumers’ purchase decision process. This research highlights the importance of the credibility of influencers, emotional connections with audiences, and the dynamics of the media in shaping consumer behavior. It highlights the strong influence of digital influencers on purchasing decisions and makes a methodological contribution with a rigorous empirical model. This study also suggests avenues for future research in order to deepen the understanding of influencer and social media marketing strategies.

Understanding metaverse adoption in education: The extended UTAUMT model

The metaverse, an immersive virtual environment enabling users to engage with digital experiences, has the potential to revolutionize education. However, research pertaining to this area is still in its early stages. This study investigates the variables that influence the acceptance of educational metaverses and the intention to use them. It also presents an expanded model called the Unified Theory of Acceptance and Use of Metaverse Technology (UTAUMT) to provide guidance to educators and decision-makers. The study involved 253 Vietnamese teachers and students who had experience with metaverse, selected through purposive sampling. The UTAUMT provides a comprehensive framework that encompasses various factors, including metaverse performance expectancy (MPE), metaverse effort expectancy (MEE), metaverse social influence (MSI), metaverse hedonic motivation (MHM), metaverse price value (MPC), metaverse self-efficacy (MSE), and metaverse facilitating conditions (MFC). These factors were assessed using a self-administered questionnaire. The findings indicate that MEE, MSI, MFC, MSE, and MBI have a considerable impact on the educational metaverse MUB. The extended UTAUMT model makes a theoretical contribution by including metaverse-specific elements into the technology acceptance framework. The managerial implications focus on the integration of the metaverse, training of users, and providing support to enhance the adoption rate. This study explores the elements that contribute to the adoption of metaverse technology in education and contributes to the existing literature on the acceptance of metaverse technology.