Extended Technology Acceptance Model Research Articles

User intention to adopt public bicycle sharing system: a priori acceptance approach

ABSTRACT Bicycle-sharing services have received worldwide attention as a sustainable form of transportation. This study explores a priori acceptance of public bicycle-sharing system (PBSS) in India, which is still in the early phases of adopting PBSS. The effects of psychological factors, such as perceived usefulness (PU), perceived ease of use (PEoU), perceived fun (PF), health value (HV), and environment values (EV), on intention to use PBSS are studied, utilizing an extended technology acceptance model. 747 samples were collected from online questionnaires in Dehradun, India. Results of Structural Equation Modelling revealed that intention to use PBSS is strongly predicted by PU and PF together, while PF mediates the influence of PEoU. Furthermore, EV and HV generate positive behavior intention to use PBSS through PU, PF, and PEoU. The study suggests promoting PBSS as a green and active transportation mode offering high PU and enjoyment, with theoretical and practical implications discussed.

User intention to adopt public bicycle sharing system: a priori acceptance approach

ABSTRACT Bicycle-sharing services have received worldwide attention as a sustainable form of transportation. This study explores a priori acceptance of public bicycle-sharing system (PBSS) in India, which is still in the early phases of adopting PBSS. The effects of psychological factors, such as perceived usefulness (PU), perceived ease of use (PEoU), perceived fun (PF), health value (HV), and environment values (EV), on intention to use PBSS are studied, utilizing an extended technology acceptance model. 747 samples were collected from online questionnaires in Dehradun, India. Results of Structural Equation Modelling revealed that intention to use PBSS is strongly predicted by PU and PF together, while PF mediates the influence of PEoU. Furthermore, EV and HV generate positive behavior intention to use PBSS through PU, PF, and PEoU. The study suggests promoting PBSS as a green and active transportation mode offering high PU and enjoyment, with theoretical and practical implications discussed.

Understanding Factors Influencing Diabetic Patients’ Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model

This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients’ intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients’ acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients’ opinions regarding the usefulness and ease of use of digital healthcare technologies. The proposed model extends the traditional Technology Acceptance Model by adding two new constructs, perceived privacy and trust. These constructs were examined by analyzing the intentions of 600 respondents through online surveys. The study’s conclusions showed that attitudes toward using digital health services for KSA diabetic patients are greatly influenced by every component of the extended Technology Acceptance Model. The study’s conclusions add to the body of knowledge already in existence and offer insightful information to decision-makers hoping to improve digital health services.

Leveraging TikTok for active learning in management education: An extended technology acceptance model approach

This study investigates the role of TikTok, a prominent short-form video platform, in facilitating active learning intention within management education. Employing an extended Technology Acceptance Model (TAM), the research examines how perceived ease of use, usefulness, playfulness, interactivity, immersion, and virtual reward enhance students' active learning intention. Data collected from 414 students majoring in international business across two universities in China reveal that perceived ease of use and usefulness significantly influence interactivity, while virtual rewards impact immersion and playfulness, further influencing students' active learning intention. The study developed a new scale to measure active learning intention in TikTok usage, rigorously validating its reliability and validity through pre-testing and statistical analyses. Furthermore, the research uncovers the moderating role of novelty experience in the relationship between these factors and active learning intention. The findings offer significant implications for integrating emerging technologies like TikTok into management education, highlighting the need for pedagogical strategies that leverage the unique features of social media platforms for creating and sharing short videos to enhance student engagement and learning outcomes. By providing empirical evidence and a discussion of the practical implications, this research contributes to advancing the understanding of digital pedagogies in management education and encourages exploring innovative teaching methods to promote management learning in the digital era.

What motivates customers’ participation in mobile instant messaging-based online restaurant community: an extended technology acceptance model

Purpose An increasing number of restaurants are building mobile instant messaging-based online restaurant communities to enhance connections with customers, but the mechanisms of customers’ behavioral intentions toward these communities remain unclear. To address this gap, this study aims to investigate the factors affecting customers’ acceptance of mobile instant messaging-based online restaurant communities from the perspectives of social support theory and technology acceptance model. Design/methodology/approach Partial least squares structural equation modeling was used to analyze data collected from 360 customers. Findings The results indicate that informational support and social presence influence perceived ease of use and usefulness. By contrast, emotional support significantly affects only perceived usefulness. Additionally, perceived ease of use and usefulness can positively predict customer attitudes and foster behavioral intentions. Originality/value This research broadens existing research on online restaurant communities by constructing an integrated model that considers social support-related and technology use-related factors to understand consumers’ participation in a new type of restaurant community, namely, the mobile instant messaging-based online restaurant community. The findings also offer guidance on how restaurants can encourage customers to embrace mobile instant messaging-based online restaurant communities.

Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model

Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model

Exploring ICT-based learning adoption in higher education: An extended perspective of the technology acceptance model

This article analyses the self-perception of digital technology learning competence among engineering and science students. The use of information and communication technologies (ICT) is now considered highly essential in higher education. Today's higher education institutions (HEIs) seldom employ traditional methods of instruction; instead, sophisticated ICT is starting to emerge as a feasible paradigm for fundamental change. To this end, Pakistan's Higher Education Commission (HEC) has heavily invested in technology in the education sector and initiated several programs. The ramifications of ICT utilization on the environment, student academic performance, and capabilities remain ambiguous. In delving into how students embrace and utilize ICT systems for learning in HEIs, researchers felt the need to grasp the factors that influence students' acceptance and utilization of ICT skills through the lens of the Extended Technology Acceptance Model (TAM). This study develops an exclusive conceptual model by incorporating TAM with a set of latent variables identified in the available literature: interest, ICT self-efficacy, economic cost, and performance expectancy. The adapted TAM model developed in this study considers the influence of these variables on students’ ICT acceptance and its impact on academic performance in emerging countries. As part of this study, reports on the development of instruments and validation in the research field were managed using a cross-sectional survey method and SPSS-22 and Smart PLS-4 software. In addition, association rule mining applied in demographic data. A sample of 69 students was randomly selected from three universities representing engineering, medical, and general HEIs in the Sindh province. Though the sample size was small, it showcases that the reliability of the scales is within an acceptable range and can be used to test the main study hypotheses. A conceptual framework model is introduced to offer a comprehensive framework derived from the amalgamation of various acceptance and usage models of technology. The results demonstrate that the survey items are appropriate and suitable for further research.

INVESTIGATING THE IMPACT OF AFFORDANCE VALUE AND TRUST ON THE USAGE OF FOOD DELIVERY APPLICATIONS: A CONCEPTUAL STUDY

Food delivery applications (FDAs) have been increasingly popular in recent years. Customers from developed and emerging countries are increasingly using these applications for quick and easy delivery of food to their homes. Furthermore, FDAs have provided restaurants with new chances to increase revenue without needing to increase sitting space. As a result, there has been a notable shift in the food sector, with an increasing number of customers relying on FDAs for their meal needs. Although FDAs are becoming more prominent, it is essential to understand the elements that affect their usage. This study utilises an extended Technology Acceptance Model (TAM) as an underpinning reasoning. The affordance value and trust in the application platform are also examined to bridge the hypothetical relationship for future research direction. This study aims to provide insights to future researchers in the food delivery research area regarding the potential factors influencing the usage of meal delivery apps. This study offers significant information for FDA service providers seeking to expand market share by knowing how to impact consumer usage.

Investigating Factors Influencing Consumer Intention to Use Online Streaming Services

This paper investigates factors influencing consumer intention to use online streaming services from the technology acceptance perspective based on the extended Technology Acceptance Model with additional variables – perceived enjoyment and incorporation with human and social constructs from Theory Reasoned Action. The consumer intention to use online streaming services remains unclear due to the gap between expectations of online streaming service providers and the high unsubscribe rate. This study deployed an online questionnaire to collect data from 250 Facebook users. Thus, the data collected for this study were from consumers not using online streaming services in Malaysia to understand the factors that could trigger their intention to use. The data collected were analysed using SPSS version 26 and PLS-SEM version 3.0. The role of self-efficacy as a moderator was examined to better understand consumer behaviour in online streaming services. The result revealed that subjective norms and perceived enjoyment have significantly impacted consumer intention to use online streaming services. Regarding the moderating effect of self-efficacy on the relationship between perceived ease of use and perceived usefulness, the outcome evidenced that self-efficacy plays a moderator role for both constructs. This paper attempts to fill the gap by extending the extant literature on consumer intention to use online streaming services by assessing the direct and moderating effects. Furthermore, the outcome of this study also provides valuable practical contributions for online streaming service providers by improving their understanding of consumer behaviour on the intention to use online streaming services.

Modeling college faculty users’ potential acceptance of library data services for research and teaching

Purpose The increasingly active data practice in academic environments makes investigating college faculty users’ potential needs for library data services (LDS) essential. Guided by a conceptual framework rooted in the data lifecycle and the extended technology acceptance model, this study aims to investigate the relationship between faculty’s data engagement (DE) and their attitudes toward multiaspect LDS. Design/methodology/approach An online survey at a master’s college was conducted to collect data regarding faculty data practice, potential needs for data services (DS) and attitudes toward multiaspect LDS. Based on 139 complete and valid responses, the study built three conceptual models to demonstrate faculty users’ potential acceptance of LDS for research and teaching. Findings Participants’ research and teaching-related DE and background factors directly or indirectly affect their attitudes toward general DS, an institutional data repository if available and repository-based data curation. Originality/value The study contributes to DS and librarianship research by offering three conceptual models to explore LDS’ holistic support for faculty research and teaching. Moreover, the study provides insights into faculty’s job-related DE factors and calls for future research on effective DS in more college communities.

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.

Perceived Utility and Learning by Dominican University Students in Virtual Teaching–Learning Environments: An Analysis of Multiple Serial Mediation Based on the Extended Technology Acceptance Model

The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching–learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching–learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research were to define an explanatory theoretical model and to test a multiple serial mediation model with four variables in series (one independent variable plus three mediators) to relate perceived utility (independent variable) in the use of a VTLE and perceived learning (dependent or criterion variable) in such contexts, taking into account the mediation of subjective norm (mediator 1), ease of use (mediator 2), and intention to use behavior (mediator 3), and using the extended technology acceptance model as the theoretical framework. Additionally, we aimed to analyze the direct and indirect relationships and effects among the variables that constituted the proposed model. Methodologically, the research can be classified as a cross-sectional causal ex post facto design. A representative sample of students enrolled in higher education institutions in the Dominican Republic was used as the research population, and a standardized Likert scale was administered to measure the five dimensions of the proposed model. Finally, it is worth noting that the obtained results indicate that all direct and indirect effects considered in the model were statistically significant, except for the indirect effect, where the four predictor variables were arranged in series to verify their influence on the criterion variable: perceived learning.

Impact of metaverse technology on hospitality and tourism industry: an interplay of social media marketing on hotel booking in India

Purpose This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the hospitality and tourism industry works. In the present study, the authors have investigated the role of social media marketing in the adoption of metaverse technology in hotel booking in India. Design/methodology/approach An extended technology acceptance model was proposed for an empirical investigation in the Indian context. Sample of 344 respondents was collected across India using a purposive sampling technique for the purpose of data analysis. The structural model analysis is used to analyse the data collected from the respondents using the SmartPLS software to check the structural and the measurement fit of the model. Findings The adoption intentions were largely influenced by the utility, attitude (ATT) and ease of use of the technology, and social media marketing plays a major role in influencing the perceived usefulness (PU) and ease of use (PEU). The study finds positive ATTs of the customers for using metaverse technology for booking their hotels. PU and PEU significantly influence the ATT of the consumer indicating the traveller’s perception of the usefulness and ease of metaverse technology influence their ATTs towards adoption. Originality/value Influence of metaverse technology is at a nascent stage in India specifically for hotel booking and tourism. The authors have used discriminant validity by using the criteria for both the square root of the average variance extracted and heterotrait–monotrait ratio tests, and the results suggest that the constructs in the research are distinct from other.

Factors Influencing the Adoption of Mobile Banking Applications in Yemen Using an Extended Technology Acceptance Model

Factors Influencing the Adoption of Mobile Banking Applications in Yemen Using an Extended Technology Acceptance Model

Determinants of Public Sector Managers' Intentions to Adopt AI in the Workplace

This study investigated the determinants of public sector managers' intentions to adopt artificial intelligence (AI) systems within their organizations. An extended technology acceptance model (TAM) was developed, incorporating additional constructs including fairness, humanity, reliability, safety, transparency, accountability, privacy, security, trust, social norms, tolerance, impact, and isomorphic pressure. A survey was conducted among 330 public sector managers, and the data were analyzed using linear regression tests to evaluate the model. The results showed significant positive influences of both perceived usefulness and perceived impact on managers' attitudes and behavioral intentions toward AI adoption. Isomorphic pressure was also a significant determinant of managers' behavioral intentions toward adopting AI systems. Our findings also indicated that perceptions related to AI ethical principles, such as transparency, privacy, and security, influenced managers' trust in AI systems.

Faculty Acceptance and Adoption of Learning Management Systems (LMS) using the Extended Technology Acceptance Model (ETAM)

Faculty Acceptance and Adoption of Learning Management Systems (LMS) using the Extended Technology Acceptance Model (ETAM)

Factors affecting Chinese undergraduate medical students’ behavioural intention and actual use of intelligent tutoring systems

This study examined Chinese undergraduate medical students’ acceptance and adoption of intelligent tutoring systems (ITSs) using the general extended technology acceptance model for e-learning via a Likert-scale questionnaire. Specifically, it examined the relations between the five antecedents and the four core components in the model (i.e., perceived usefulness (PU), perceived ease of use (PEOU), behavioural intention and actual use of ITSs). The results of PLS-SEM showed that perceived enjoyment was the most influential antecedent as it significantly impacted both PU and PEOU. Both self-efficacy and prior experience only significantly contributed to PEOU but not PU. Both PU and PEOU significantly and positively predicted behavioural intention, which in turn had a significant and positive path to actual use. The results provide some practical implications to teachers as to how to encourage Chinese undergraduate medical students’ adoption of ITSs: by integrating some gamification elements into the learning activities in ITSs to foster students’ enjoyable feelings or familiarising students with using ITSs so that they can quickly adapt to learning through them. This could be achieved by providing guidance in using ITSs via videos, websites or booklets, or at the beginning of the course, inviting senior students to share their perceived advantages and usefulness of using ITSs. Implications for practice or policy: Because of the importance of perceived enjoyment, teachers may integrate some gamification into the learning activities in ITSs to nurture students’ enjoyable feelings. To enable students to quickly accommodate learning via ITSs, institutions may provide students with information on common features of ITSs or how to navigate a specific ITS. Teachers may explicitly explain how learning objectives can be better achieved through using an ITSs so that students will appreciate its usefulness.

Management accounting and data analytics: technology acceptance from the educational perspective

ABSTRACT The purpose of this paper is to identify strategies for integrating data analytics into teaching management accounting. We conducted a literature review and evaluated students’ perceptions of the introduction of data analytics in teaching management accounting courses. This research is based on the application of the Extended Technology Acceptance Model (ETAM) in management accounting education. We link the findings to the existing theory and practice by providing a foundation for the implementation of data analytics in management accounting subjects and the development of educational resources at both, national and international levels. Thus, the results will be of interest to global readership revealing that data analytics is considered by students both useful and easy to use and concluding that students would benefit from integrating data analytics into management accounting courses across the areas identified in this study. From our analysis of the results, we conclude that a high level of appreciation of such inclusion across perceived usefulness and perceived ease of use of data analytics leads to a positive attitude towards using and potentially high actual use of data analytics.

The Effect of Metaverse Concert Characteristics on User Re-Participation Intention: A Combination of the ETAM and the SPICE Model

Metaverse concerts transcend temporal and spatial constraints, emerging as highly sought-after virtual domains on contemporary metaverse platforms. To advance the sustainability of metaverse concerts, this study integrates the SPICE (Metaverse Concert Characteristics) model with the Extended Technology Acceptance Model (ETAM), grounded in the Stimulus-Organism-Response (SOR) theory, introducing media richness to elucidate the characteristics of metaverse concerts. Additionally, we investigate the moderating influence of emotional attachment, contributing a novel dimension to this study. The proposed framework underwent empirical validation through the collection of 521 valid responses, employing a convenience sampling method. The results indicate that concurrence, interoperability, and economic flow wield no direct impact on users’ re-participation intentions, and media richness exhibits no influence on perceived usefulness. Furthermore, the relationships of other variables in the model are positively correlated, and emotional attachment plays a moderating role in the framework. Our findings establish a theoretical underpinning for the sustainable evolution of metaverse concerts, holding practical implications for stakeholders, including managers, users, practitioners, and researchers in the field.

Factors affecting the adoption of mobile-based electronic payment apps in China: an application of the extended technology acceptance model

PurposeWith the increasing use of Internet and mobile handsets, mobile-based electronic payment apps (MEPAs) are becoming very popular around the world due to having various advantages. The intention of this exploratory study is to investigate the role/impact of selected factors in adopting three MEPAs of China: Wechat, Alipay and UnionPay based on the extended technology acceptance model (ETAM). After conducting a thorough and careful literature review, this study identified and divided seven such factors into three broad categories: (1) technological factors: perceived ease of use (PEU) and perceived usefulness (PU); (2) personal factors: perceived trust (PT), perceived privacy (PP) and perceived risk (PR); and (3) social factors: social influence (SI) and peer influence (PI) that were assumed to affect the intention to adopt MEPAs (IAMEPAs).Design/methodology/approach1,597 Chinese individuals were selected through purposive sampling technique who regularly used MEPAs at the time of collecting data. For collecting primary data from the selected respondents, a cross-sectional survey instrument was used. The study utilized IBM SPSS 25 for descriptive statistics and a second generation covariance-based structural equation modeling (CB-SEM) technique through AMOS 25 for testing the hypothesized relationships.FindingsFrom statistical analysis, it was identified that five factors: PEU, PU, PT, SI and PI have significant positive impact on the dependent variable, IAMEPAs while PR and PP have insignificant influence on IAMEPAs.Originality/valueThis is one of the studies ever conducted to discover the factors that can have impact on the adoption of MEPAs using ETAM. It is strongly expected that this exploratory study can motivate the scholars to commence additional investigations regarding this increasingly popular financial technology (Fin-Tech). In addition, it can be anticipated that the MEPA service providers can widen their service effectiveness according to the users’ opinion reflected in this study. Furthermore, policymakers involved with Fin-Tech can also formulate and implement effective policies and guidelines based on the empirical outcomes.