How does university students’ academic major (STEM vs. non-STEM) affect their acceptance of e-learning: a multi-group analysis

This study aims to examine the relationship between university students’ views of distance education system and their computer self-efficacy in terms of some variables using Information Systems Success Model (ISSM) and Technology Acceptance Model (TAM). The study is important since the studies on the distance education system made with Unified Learning Style Model (ULSM) are limited in the COVID-19 pandemic period when distance education has become widespread. The views of university students on distance education and computer self-efficacy were examined in the study in accordance with the causal-comparative design, taking into account the variables of gender, year of study and academic achievement. Then, the correlation between the Technology Acceptance Model, participants’ achievement levels and computer self-efficacy was explained. 895 students attending Necmettin Erbakan University Faculty of Applied Sciences undergraduate program participated in the study. While gathering data, previously tested Technology Acceptance and Information Systems Success Model Integration and Computer Self-efficacy scales were used by combining the components from both models.

The present study examines university students’ acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors. Structural equation modeling with maximum-likelihood estimation served to evaluate the proposed research model, which included online questionnaire data from N = 225 undergraduates studying various subjects in 53 universities. The results indicate that the TAM is replicable regarding e-learning for German-speaking university students. Additionally, we found self-regulated learning and affinity for technology to be significantly positively related to the two main components of the TAM, perceived ease of use and perceived usefulness, implying their importance in technology acceptance. However, self-efficacy with digital media and prior experience showed no significant impact on university students’ technology acceptance. We also found a significant positive relationship between attitudes toward e-learning and behavioral intention, showing that university students with positive attitudes are more willing to use it in the future. Therefore, higher education should consider students’ individual prerequisites for e-learning and support students during the use of e-learning environments, to promote the development of positive experiences and attitudes toward e-learning.

Purpose This study aims to examine factors that could explain employees' behavioral intention to use e-learning in the banking workplace in Tanzania. By extending the Technology Acceptance Model (TAM), it incorporates other related factors, like management support, content quality, computer self-efficacy, and subjective norms. Design/methodology/approach The research model and hypotheses were tested by applying partial least square-structured equation modeling to data collected from 239 employees working in the banking sector in Tanzania. Findings The results showed that management support and content quality, perceived usefulness, and perceived ease of use positively affect the usage intention of e-learning for employees in the banking workplace. Second, subjective norms and computer self-efficacy indirectly influenced employees' intention to use e-learning through perceived ease of use. Lastly, perceived usefulness was neither impacted by computer self-efficacy nor subjective norms. Research limitations/implications By extending the Technology Acceptance Model, this study provides novel empirical data on workplace contexts, contrasting with Tanzania's education-centric research, as well as a comprehensive understanding of the factors influencing intention to use e-learning among employees in the banking industry. Researchers can build upon this to explore other potential factors in different settings. Originality/value This study offers a novel contribution by extending TAM to Tanzania's banking workplace, providing robust empirical evidence that external factors like management support and content quality drive perceived usefulness, unlike prior education-focused studies, filling a gap in underexplored workplace e-learning in developing countries. It delivers practical, actionable insights for organizations and policymakers to enhance e-learning utilization.

The restrictions of the ongoing COVID-19 pandemic resulted in the downturn of various industries and in contrast a massive growth of the information technology industry. Consequently, more Filipinos are considering career changes to earn a living. However, more people still need to be upskilled. This study combines the extended Technology Acceptance Model and Task Technology Fit framework to determine factors affecting a career shifter’s use of software testing tools and its impact on perceived performance impact amidst the COVID-19 pandemic in the Philippines. A total of 150 software testers voluntarily participated and accomplished an online questionnaire consisting of 39 questions. The Structural Equation Modeling and Deep Learning Neural Network indicated that Task Technology Fit had a higher effect on Perceived Performance Impact. Moreover, Task Technology Fit positively influenced Perceived Usefulness. Computer Self-Efficacy was a strong predictor of Perceived Ease of Use. Perceived Ease of Use confirmed the Technology Acceptance Model framework as a strong predictor of Actual System Use. Intention to Use, Perceived Usefulness, Actual Use, and Subjective Norm were also significant factors affecting Perceived Performance Impact. This study is the first to explore the career shifter’s use of software testing tools in the Philippines. The framework would be very valuable in enhancing government policies for workforce upskilling, improving the private sector’s training and development practices, and developing a more competitive software testing tool that would hasten users’ adaptability. Lastly, the methodology, findings, and framework could be applied and extended to evaluate other technology adoption worldwide.

Acceptance of internet banking system among potential young users is crucial to commercial banks to ensure sustainability of banks’ businesses. While the importance of acceptance of young users towards information systems has been recognized in the marketing literature and information system studies, the conceptualization and empirical validation of the behavioral intention of Information and Communication Technology (ICT) literate users for Malaysia’s internet banking context has not been addressed. This paper describes a conceptual model for examining acceptance of internet banking system among potential young users, specifically future ICT professionals. A conceptual model was developed to examine the effects of computer self- efficacy (CSE) and extended technology acceptance model (TAM) on the behavioral intention (BI) of young users to use the internet banking systems. Using stratified random sampling procedure, data were obtained from 281 undergraduate ICT students in a Malaysia’s public university. The result revealed that perceived usefulness (PU), perceived ease of use (PE) and perceived credibility (PC) of extended TAM affect respondents’ intention to use the internet banking systems. PE was found to have stronger influence than PU and PC on BI. The findings unveiled that indirect relationships existed between CSE and BI through PU, PE and PC of TAM. These results validated that CSE and the three variables of TAM were well adopted in predicting individual responses, including young users, to information technology systems. Three implications of these findings were highlighted for future researches and managerial action.

This study was designed to investigate whether differential experience with and reactions to computers among adults of different ages impact on adult age differences in computer memory testing. Participants were 141 community-dwelling adults, aged 18 to 87. Computer experience, computer anxiety, computer attitudes, and computer self-efficacy were measured in addition to several demographic items. Participants also completed a working-memory test on a desk top computer. Age was positively correlated with computer anxiety, but was not correlated with computer attitudes. In addition, older adults had less computer experience and lower computer self-efficacy. Computer experience, anxiety, and self-efficacy significantly mediated the relationship between age and computer-tested working memory performance. The results lend support to a model of cognitive aging that emphasizes the role of ability extraneous factors in accounting for some of the observed age-related differences in computer-tested memory.

To the Editor, I read with interest the recent review article by Stabile and Cooper that identifies the lack of clinician involvement in the implementation, planning, design, and installation of anesthesia information management systems (AIMS) as a barrier to the adoption of health information technology. Many challenges are associated with the implementation of new AIMS in the perioperative setting, including the perception that workload will increase or autonomy will decrease. Even if AIMS use were mandated and early acceptance occur, the negative consequences of resistance may surface over the long term if the information system were viewed as prone to error or slow. Medical directors and anesthesiology department chiefs must actively manage the change process and gain physician acceptance for the new information system. Failure to gain acceptance of the AIMS may result in the unsuccessful launch of the system and huge financial losses. The Technology Acceptance Model, the most widely accepted method of adopting information technology, focuses on interventions taken by managers to change employees’ attitudes toward information technology. The model identifies two main factors that influence an individual’s intention to use information technology, namely, the extent to which the user believes that the information technology will enhance their job performance (perceived usefulness) and require little effort (perceived ease of use). Perceived usefulness is determined by social influence and system characteristics, and perceived ease of use is determined by facilitating factors, individual differences, and system characteristics. Social influence variables include the opinions about use of information technology from people who are important to the user (subjective norm) and the extent to which the user’s standing among their peers will be maintained or raised (image). System characteristics are defined by the degree to which the user thinks the information technology is important to their work (job relevance), effective (output quality), able to deliver results that are easy to observe and share (result demonstrability), enjoyable (perceived enjoyment), and matches their desired level of effort (objective usability). Facilitating factors refer to the user’s belief that the organization supports the information technology and has committed resources to maintain its operation (perception of external control). Individual differences are defined by the degree to which the user believes in their computer skills (computer self-efficacy), is apprehensive about using a computer (computer anxiety), and is motivated to use new technology (computer playfulness). Managers should take well-defined steps to target the determinants of perceived usefulness and perceived ease of use in order to improve the adoption of AIMS and influence acceptance of information systems among anesthesiologists.

Purpose This study investigates how online user intention in searching health information is affected by problematic situations. Design/methodology/approach Based on the Theory of Reasoned Action, the Technology Acceptance Model, and Sense-making theory, we propose two dimensions of problematic situations: urgency and severity of health issues being searched online. Data were collected through a questionnaire survey among 214 Wuhan University students and analyzed using hierarchical regression analysis. Findings Perceived usefulness, perceived ease of use, and subjective norm can influence user intention to seek health information online. The urgency of problematic situations has a negative moderating effect on the relationship between perceived ease of use and user intention and the relationship between subjective norm and user intention. The severity of problematic situations has a negative moderating effect on the relationship between subjective norm and user intention. Research limitations The respondents of the survey are limited to students in one Chinese university, so whether this study’s results can be applied to another population or not remains to be verified. In addition, only two dimensions of problematic situations are considered in this study. Practical implications The paper puts forward the moderating effect of problematic situations and verifies it, which is the compensation for online health information-seeking behavior research. Besides, our analyses have implications for professional design of health care systems and related consumer information searches, and improve their performance. Originality/value Previous work has reported the effects of problematic situation on user intention to seek health information online, ignoring its influence on other factors. This empirical study extends that work to identify the influence of problematic situation when seeking intention-behavior data in two dimensions, urgency and severity.

This study investigates adoption/use behavior within the context of college students. A research framework based on the Technology Acceptance Model (TAM) is developed to identify factors that would influence the adoption and continue use of the credit card. Besides the "perceived usefulness" and "perceived ease of use", this paper introduces the "perceived risk", "promotion", "trust in electronic channel", "computer self-efficacy", "subject norm", "structural assurance" as new factors. Structural Equation Modeling (SEM) is employed to examine the entire pattern of inter-correlations among the factors, and to test related propositions empirically. A survey including a total of 343 college students is conducted and confirmatory factor analysis used to determine the measurement efficacies. The results reveal that perceived usefulness, perceived ease of use, promotion and perceived risk play direct and significant role in influencing the intention of adopt the credit card while computer self-efficacy and subject norm play indirect role. Perceived ease of use has a significant indirect effect on intention to adopt/use through perceived usefulness, while its direct effect is less significant.

This study aims to analyze the effect of the Tri Hita Karana (THK) culture, computer anxiety, computer attitude, and computer self-efficacy on the interest of accounting students of private universities in Denpasar City to use accounting software. Sample of this research is 95 accounting students was taken using random sampling techniques. Data were analysed using multiple linear regression analysis and the result of this study finds that Tri Hita Karana and computer attitude has positively affected the interest of accounting students to use accounting software, but computer anxiety and compter self-efficacy does not affect the interest of accounting students to use accounting software. The implications of this research for private universities in Denpasar City are expected to be able to improve the quality of the learning process and provide insight for students regarding the use of accounting software so as to produce graduates who can compete in the workforce later.

This quantitative case study used Venkatesh and Davis’ (2000) technology acceptance model (TAM) to understand EFL student attitudes towards using a virtual learning environment (VLE). The study surveyed 97 undergraduate students enrolled in a required English writing course. The study employed factor reduction to group the variables into the TAM. A standard multiple regression was then performed to determine the effect the variables had on the model. It was found that the perceived ease of use (EoU), output quality (OQ), and results demonstrability (RD) had a positive statistical effect on the perceived usefulness (PU). The subjective norm (SN), EoU, and PU also had a positive statistical effect on the students' intention to use (IU) the VLE for writing. The final standardized regression found a positive statistical effect from IU towards the students' usage behavior (UB). The overall results showed that the more positive a student's EoU, OQ, RD, SN, PU, and IU, the more likely a student will use and accept the VLE for writing. This usage should also help students improve their language level as well as build 4<sup>th</sup> industrial revolution skills. Teachers should consider the use of VLEs to teach or supplement EFL writing in the future.

ChatGPT, a generative AI chatbot, has seen unprecedented adoption, yet the factors driving its acceptance among students remain underexplored. This study investigates key determinants of U.S. university students' intention to use ChatGPT in higher education. Drawing on the technology acceptance model, theory of reasoned action, and diffusion of innovation theory, survey data from 411 students were collected and analyzed using partial least squares structural equation modeling. The results indicate that perceived usefulness and subjective norm have significant positive effects on students' intention to use ChatGPT, and perceived ease of use and trust exert indirect effects through perceived usefulness. The model explains approximately 51% of the variance in usage intention. As one of the first empirical studies on ChatGPT adoption in education, this research extends technology acceptance theories to generative AI and offers insights for theory and educational practice.

The goal of this research is to understand how recruiters perceive the fit between the characteristics of electronic job marketplaces and their needs, and how that fit influences the use of corporate career portals and expected performance. This paper contributes in providing considerable attention of technological, individual and social factors; thus, it integrates TAM and TTF and incorporates subjective norms and computer self-efficacy into the integrated model. This unique model is developed to interpret recruiters' attitudes towards its actual use, and consequently to understand the expected performance. A total of 145 valid responses collected from HR practitioners at Jordanian banks were statistically analysed. Results showed a good fit between the model’s technological attributes and the task of recruiting. Thus, the results indicated that the proposed model could be used to predict the users' intention toward corporate career portal. The Actual use of corporate career portals was directly affected by perceived usefulness and subjective norms, while there was no effect of perceived ease of use on actual use. Indirectly, fit of technology characteristics to task requirements, and computer self-efficacy have a significant effect on actual use and ultimately on users' performance.

The study’s purpose is to investigate the impact of selected factors (Computer self-efficacy (CSE), subjective norms (SN), perceived enjoyment (PE), perceived usefulness (PU), perceived ease of use (PEOU), attitude) on university students’ intention to use e-learning. The objective of this paper is to advance a conceptual framework to better understand the factors that could affect the intention of students to use e-learning in Lebanese universities. The collection of the data was from 444 private universities students in Lebanon. The SEM analysis had been used to assess the influence of these components to intend e-learning system. All proposed relationships are accepted in the framework expected the relationships between Computer self-efficacy (CSE) and subjective norms (SN) on perceived usefulness are rejected. In addition, relationships between subjective norms and perceived enjoyment on perceived ease of use (PEOU) are rejected. Finally, results are discussed then conclusions and future research are presented.

PurposeThe purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.Design/methodology/approachAn enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories (i.e. theory of reasoned action, Technology acceptance model and diffusion of innovation theory). The investigated factors included nine independent variables – perceived usefulness (PU), perceived ease-of-use, subjective norm (SN), personal innovativeness traits, security and privacy concerns, compatibility, observability, trust and past non-store shopping experience (PE), and five control variables – age, gender, education level, income level and ethnicity. The dependent factor is consumer’s intention to use (IU) apparel m-commerce. The primary data were gathered by an online survey of US consumers via Amazon Mechanical Turk. In total, 317 eligible responses were received. The applied statistical techniques were factor analysis and multiple regression analysis.FindingsThe results show that the US consumer’s IU apparel m-commerce is significantly affected by PU, SN, compatibility and PE and education level. Overall, 67.3 percent of variation in the US consumer’s IU apparel m-commerce is explained by the developed model, which suggests a high explanatory power.Practical implicationsCompanies should provide those functions and features on their mobile websites that enable consumers to easily find the products wanted and complete transactions efficiently. Companies should particularly target the consumers with innovativeness traits and/or those having prior non-store shopping experience. Enhancing the trust in m-commerce among the US consumers with higher education level could help companies attract more potential users. Elderly, female or lower income consumers could be the next business opportunities for apparel e-tailers.Originality/valueAs one of the first efforts made to understand the emerging apparel m-commerce phenomenon, this study empirically determined the key factors influencing the US consumer’s IU apparel m-commerce.