Modified Technology Acceptance Model Research Articles

Intention to Use Mobile-Based Partograph and Its Predictors Among Obstetric Health Care Providers Working at Public Referral Hospitals in the Oromia Region of Ethiopia in 2022: Cross-Sectional Questionnaire Study.

A partograph is a pictorial representation of the relationship between cervical dilatation and the time used to diagnose prolonged and obstructed labor. However, the utilization of paper-based partograph is low and it is prone to documentation errors, which can be avoided with the use of electronic partographs. There is only limited information on the proportion of intention to use mobile-based partographs and its predictors. The objective of this study was to determine the proportion of obstetric health care providers at public referral hospitals in Oromia, Ethiopia, in 2022 who had the intention to use mobile-based partographs and to determine the predictors of their intention to use mobile-based partographs. We performed an institution-based cross-sectional study from June 1 to July 1, 2022. Census was conducted on 649 participants. A self-administered structured English questionnaire was used, and a 5% pretest was performed. Data were entered into EpiData version 4.6 and exported to SPSS version 25 for descriptive analysis and AMOS (analysis of moment structure; version 23) for structural and measurement model assessment. Descriptive and structural equation modeling analyses were performed. The hypotheses developed based on a modified Technology Acceptance Model were tested using path coefficients and P values <.05. About 65.7% (414/630; 95% CI 61.9%-69.4%) of the participants intended to use mobile-based electronic partographs, with a 97% (630/649) response rate. Perceived usefulness had a positive influence on intention to use (β=.184; P=.02) and attitude (β=.521; P=.002). Perceived ease of use had a positive influence on attitude (β=.382; P=.003), perceived usefulness (β=.503; P=.002), and intention to use (β=.369; P=.001). Job relevance had a positive influence on perceived usefulness (β=.408; P=.001) and intention to use (β=.185; P=.008). Attitude positively influenced intention to use (β=.309; P=.002). Subjective norms did not have a significant influence on perceived usefulness (β=.020; P=.61) and intention to use (β=-.066; P=.07). Two-thirds of the obstetric health care providers in our study intended to use mobile-based partographs. Perceived usefulness, perceived ease of use, job relevance, and attitude positively and significantly influenced their intention to use mobile-based electronic partographs. The development of a user-friendly mobile-based partograph that meets job and user expectations can enhance the intention to use.

Barriers to and Facilitators of Key Stakeholders Influencing Successful Digital Implementation of Remote Monitoring Solutions: Mixed Methods Analysis.

Implementation of remote monitoring solutions and digital alerting tools in health care has historically been challenging, despite the impetus provided by the COVID-19 pandemic. To date, a health systems-based approach to systematically describe barriers and facilitators across multiple domains has not been undertaken. We aimed to undertake a comprehensive mixed methods analysis of barriers and facilitators for successful implementation of remote monitoring and digital alerting tools in complex health organizations. A mixed methods approach using a modified Technology Acceptance Model questionnaire and semistructured interviews mapped to the validated fit among humans, organizations, and technology (HOT-fit) framework was undertaken. Likert frequency responses and deductive thematic analyses were performed. A total of 11 participants responded to the questionnaire and 18 participants to the interviews. Key barriers and facilitators could be mapped onto 6 dimensions, which incorporated aspects of digitization: system use (human), user satisfaction (human), environment (organization), structure (organization), information and service quality (technology), and system quality (technology). The recommendations proposed can enhance the potential for future remote sensing solutions to be more successfully integrated in health care practice, resulting in more successful use of "virtual wards." ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004.

The effectiveness of automated writing evaluation: a structural analysis approach

Modern advancement in learning technologies and tools has presented innovative written corrective feedback (WCF) methods based on artificial intelligence (AI) and existing corpora. Research has shown that these tools are perceived as exciting and useful by students, yet studies on their effectiveness and impact on students’ writing are relatively insufficient. To this end, the present study investigated the effectiveness of Grammarly writing assistant as perceived by 98 undergraduates who used the tool for a 14-week semester. The study adopted a questionnaire based on a modified technology acceptance model (TAM). The gathered data was analyzed using SmartPLS 3 software. The results revealed that different factors predict students’ perceptions about Grammarly and their intention to use it. Some of these factors were not presupposed. The findings imply using Grammarly as an extra learning tool rather than a basic one. It is suggested that future research on the efficacy of Grammarly should adopt longitudinal and experimental approaches.

E-classroom as a Blended Learning Tool: A Structural Equation Modelling Analysis Using Modified Technology Acceptance Model.

E-classrooms help teachers save time, keep classes organized, and improve communication with students. This study aims to assess Google Classroom's usefulness in enhancing medical students' knowledge and acceptance of new technologyfor in-depth learning. This educational interventional study was carried out on 100 students in the 3rd year of the M.B.B.S., Part 1. After a briefing about Google Classroom and educational topics, enrolled students and faculty were allowed to discuss the topic for two months. Following this, the descriptive approach was utilized to describe the respondents' technology acceptance through the administration of the technology acceptance model (TAM) survey questionnaire. Students were actively involved in discussion, with a 67% response rate. Nearly 85% of students agreed that Google Classroom is a satisfactory way for in-depth knowledge acquisition. On factor analysis, it was observed that the goodness of fit was 0.985, suggesting that the model is acceptable. It was also found that perceived usefulness (PU) had a significant positive effect on motivation towards self-directed learning (SDL), and perceived ease of use (PEOU) had a positive effect on both behavioural intention and actual use. Google Classroom is a valuable tool for learning that can enhance active self-learning and increase behavioural intention and actual use. It should be incorporated into day-to-day teaching activities to overcome time constraints.

Factors Influencing Sharia Digital Banking Utilization by Millennial Generation in Indonesia

This study aims to analyze factors influencing sharia digital banking utilization by using modified Technology Acceptance Model (TAM) approach. The data in this study were collected through questionnaires distributed online. The sample used in this study was 125 millennial respondents who used Jago Syariah Bank and Aladin Syariah Bank. In this study, the data is analyzed by using structural equation model analysis with the SmartPLS 3.2.9 analysis tool. The results showed that perceived ease of use, self-efficacy, and consumer innovativeness positively and significantly affect sharia digital banking utilization. However, there are some variables that have no significant effect, which are, perceived usefulness and subjective norms.

Big Data Analytics Implementation and Practices in Medical Institute Libraries of Pakistan

Abstract The aim of this research was to analyze the contemporary practices of Big Data Analytics (BDA) in medical libraries of Pakistan and to explore ways for its implementation in these libraries. A cross-sectional study was carried out among medical librarians in Pakistan by using a Modified Technology Acceptance Model (MTAM) model, with collected data analyzed using Smart-PLS. The results revealed that lack of resources, technical expertise, and some other factors were significant hurdles in smooth implementation of BDA. It is concluded that the perception of medical librarians about adoption of BDA is very encouraging, which resultantly will improve the quality of healthcare services in the country.

Trust and intention to use autonomous vehicles in Bangkok, Thailand

This paper examines the intention to use autonomous vehicles (AVs) in Bangkok, Thailand. The level of readiness for AVs in terms of infrastructure, technology, and regulation in our study area may represent those in other developing countries where individual preferences and operational environment are generally different from more developed countries. We analyzed survey data of 797 respondents in the Bangkok Metropolitan Region, using a modified Technology Acceptance Model. The model incorporated additional factors, including trust, perceived risk, and operational environment of AVs, as well as how they could affect the intention to use AVs. We found that all latent constructs, i.e., perceived usefulness, perceived ease of use, trust, and perceived risk, were significantly associated with the intention to use. Trust was found to be the most powerful factor; it directly increased intention to use the vehicles, and indirectly increased intention to use through improvement of perceived ease of use and reduction in perceived risk. These findings imply that familiarizing the general public with AV-related technologies might help to improve trust and promote AVs adoption. The results also suggested that to promote the use of AVs in developing countries with irregular traffic patterns and mixed road usage, the operating environments in areas where AVs are allowed should be well designed and regulated to ensure confidence of the public.

Understanding the adoption of digital payment in Indonesian SMEs using modified technology acceptance model

The purpose of this study is to assess users’ acceptance of OVO (one of the apps that Indonesians frequently use for digital payments) among Indonesian SMEs using a modified version of the technology acceptance model (TAM). A comprehensive investigation is required to understand the factors influencing the acceptability of digital payments in Indonesia, especially in the SME sector. Two hundred and forty-seven SEM actors were subjected to an offline questionnaire. This study adopted a modified technology acceptance model (TAM) with Partial least squares structural equation modeling (PLS-SEM). SmartPLS software is used to evaluate the data. The findings show that the driving force behind the use of digital payments is significantly correlated with its perceived usefulness and security. The influence of these factors on behavioural intention is affected by attitudes towards utilizing. The findings demonstrate the extent to which this digital payment mechanism is relevant and applicable to the majority of SMEs in Indonesia. This study provides information about the key factors that govern users’ consideration to use OVO (as a representation of digital payment apps that are used by SME actors). The intention to adopt digital payment in Indonesian SMEs is high if the user believes that the apps are beneficial and secure.

Technology Acceptance Model (TAM) applied to a Disciplinary Social Network for online psychology students

Social networks have been present in people's daily lives to share information and communicate with family and friends. In the educational field, they have come up with commonly used social networks such as Facebook and Twitter-X, however, these networks have been accused of accessing user data without their consent for marketing purposes. In this scenario, there are open-source social networks that can be used in the educational field, thus creating Disciplinary Social Networks (Disciplinary SN). Our research objective is to evaluate the Attitude, Intention to Use, Perceived Usefulness, Ease of Use, Trust and Perceived Risk of a Disciplinary Social Network. For this, we used a modified Technology Acceptance Model (TAM) instrument. The sample consisted of 211 university students from an online psychology degree and users of a Disciplinary Social Network based on the Mastodon social network. The results obtained show considerably high means in all scales of the modified TAM instrument, except for perceived risk, which obtained a low mean. It is concluded that the Disciplinary Social Network was perceived as a safe and reliable environment, with a low perception of risk, in contrast to the findings of other authors who evaluated the same elements in commonly used social networks such as Facebook.

A case study on the implementation of location tracking technologies for productivity monitoring: understanding workers’ acceptance and socio-technical implications

Automated real-time data collection is becoming more prevalent in construction, with workers’ location data being a pivotal component in detecting poor logistics and inefficient construction flows. However, the collection of location data for productivity monitoring raises significant concerns about privacy and wellbeing implications for workers. Implementing such technological solutions requires an understanding of how humans may respond to sensor-based automated data collection, making this a socio-technical issue. This study identifies the drivers of construction workers’ acceptance of radio-based location tracking technology for productivity measurement using a modified Technology Acceptance Model (TAM) and offers a sociotechnical understanding of technology acceptance with implications for managing how new technologies are introduced on construction projects. Using a large residential project in Lima, Peru as a case study, construction workers were monitored using Bluetooth Low Energy (BLE) technology, and data were gathered using mixed methods. A k-means clustering analysis showed two forms of acceptance among workers: supporters (37%) and acceptance with reservations (63%). Partial least squares Structural Equation Modelling (PLS-SEM) results showed that perceived usefulness and perceived stress underpinned workers’ attitudes and intention to accept the technology. Perceived privacy risk, however, emerged as the sole most significant predictor at the end of the monitoring process. Findings further suggest that workers’ acceptance of the technology is influenced by the perception that it is also beneficial for safety management. Building on the preceding, the paper highlights the need for employee orientation focused on addressing perceived privacy concerns by leveraging positive perceptions about using monitoring technologies for improving onsite safety, logistics and productivity. This requires management of construction firms to develop narratives that reflect their goals for rolling out technologies in ways that ensure workers’ buy-in, and a re-focus on problem framing and collective approaches to identifying functional and less intrusive forms of monitoring technologies.

Analysis of Demographic and Geographical Effects on Technology Acceptance Models: Studies on Shopee Paylater Users in Solo Society

The demographic and geographical conditions of the community are thought to have an influence on technology acceptance. However, there are not many studies which have evaluated the demographic and geographical conditions of the community in terms of the use of technology, especially application-based technology that directly interacts with the community. This study uses a modified technology acceptance model (TAM) as a theoretical framework. This case study investigates whether community demographics and geography influence the acceptance of Shopee Paylater among the people of Solo Raya. The model was validated using a questionnaire obtained from an online survey in the former Surakarta Residency as a representative for the people of Solo Raya. The results show that demographic conditions such as gender, age, and income and geographical conditions of residence have no significant influence on the technology acceptance model (TAM), which means demographic and geographical differences have no impact on the acceptance of technology within Solo society, especially the Shopee Paylater application. It is because there are no differences in access to technology or income levels in the Solo Raya. This research also shows that in a society that is relatively modern and has access to adequate infrastructure, it tends to be adaptive to new technology.

Acceptability, Usefulness, and Ease of Use of an Enhanced Video Directly Observed Treatment System for Supporting Patients With Tuberculosis in Kampala, Uganda: Explanatory Qualitative Study.

In tuberculosis (TB) control, nonadherence to treatment persists as a barrier. The traditional method of ensuring adherence, that is, directly observed therapy, faces significant challenges that hinder its widespread adoption. Digital adherence technologies such as video directly observed therapy (VDOT) are emerging as promising solutions. However, as these novel technologies gain momentum, a critical gap is the lack of comprehensive studies evaluating their efficacy and the unique experiences of patients in Africa. The aim of this study was to assess patients' experiences that affected acceptability, usefulness, and ease of use with an enhanced VDOT system during monitoring of TB treatment. We conducted individual open-ended interviews in a cross-sectional exit qualitative study in Kampala, Uganda. Thirty participants aged 18-65 years who had completed the VDOT randomized trial were purposively selected to represent variability in sex, adherence level, and HIV status. We used a hybrid process of deductive and inductive coding to identify content related to the experience of study participation with VDOT. Codes were organized into themes and subthemes, which were used to develop overarching categories guided by constructs adapted from the modified Technology Acceptance Model for Resource-Limited Settings. We explored participants' experiences regarding the ease of use and usefulness of VDOT, thereby identifying the facilitators and barriers to its acceptability. Perceived usefulness refers to the benefits users expect from the technology, while perceived ease of use refers to how easily users navigate its various features. We adapted by shifting from assessing perceived to experienced constructs. The participants' mean age was 35.3 (SD 12) years. Of the 30 participants, 15 (50%) were females, 13 (43%) had low education levels, and 22 (73%) owned cellphones, of which 10 (45%) had smartphones. Nine (28%) were TB/HIV-coinfected, receiving antiretroviral therapy. Emergent subthemes for facilitators of experienced usefulness and ease of VDOT use were SMS text message reminders, technology training support to patients by health care providers, timely patient-provider communication, family social support, and financial incentives. TB/HIV-coinfected patients reported the added benefit of adherence support for their antiretroviral medication. The external barriers to VDOT's usefulness and ease of use were unstable electricity, technological malfunctions in the app, and lack of cellular network coverage in rural areas. Concerns about stigma, disease disclosure, and fear of breach in privacy and confidentiality affected the ease of VDOT use. Overall, participants had positive experiences with the enhanced VDOT. They found the enhanced VDOT system user-friendly, beneficial, and acceptable, particularly due to the supportive features such as SMS text message reminders, incentives, technology training by health care providers, and family support. However, it is crucial to address the barriers related to technological infrastructure as well as the privacy, confidentiality, and stigma concerns related to VDOT.

Elucidating the Adoption of Electronic Information Resources: A Case Study of Kuwait University Library

Abstract Kuwait University Library has invested in electronic information resources (EIR) to facilitate users’ access to library materials. However, this has been insufficiently investigated to identify the factors that influence the use of EIR. Therefore, this study aims to explore the factors influencing the use of EIR by faculty members at Kuwait University, as the study further aims to enhance library services. Specifically, the study uses a modified technology acceptance model (TAM) to investigate whether the perceived ease-of-use, the perceived usefulness, and prior experience of using EIR affect their adoption. The EIR adoption, consequently, impacts the faculty’s academic performance. A mixed-method approach was adopted using the questionnaire and interview tools sequentially to collect primary data from faculty members at the College of Social Science, Kuwait University. Out of 116 questionnaires sent to participants, 48 were returned, yielding a 41 % response rate, which was supplemented with ten semi-structured interviews. The quantitative results, which were supported by the qualitative findings, indicate that the perceived ease-of-use, the perceived usefulness, and prior experience significantly influenced the adoption of EIR, and that adoption significantly impacted the academic performance. Moreover, the qualitative findings revealed the challenges that EIR users encountered. Recommendations and future research are also discussed.

Exploring students’ perceptions toward the use of augmented reality for digital library services

PurposeThis study aims to investigate whether students would accept augmented reality technology in Al Ain University (AAU) libraries as part of digital library services.Design/methodology/approachThis study used a modified technology acceptance model–based survey instrument for data collection. Data was collected through an online questionnaire, which was sent to 400 students via email in March 2023. Out of the total participants, 176 students completed the questionnaire.FindingsThis study found that AAU students have a positive perception of augmented technology use in the library. They believe that augmented technology will be useful and easy to use, and students are willing to use it to access library resources and services.Originality/valueThis study contributes to the digital library perspectives in academic libraries.

Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator

Generative artificial intelligence (AI), such as ChatGPT, has taken the world by storm, especially in the education sector, because of its capacity to produce responses that are contextually relevant and appear to imitate human language. This has increased concerns from both scholars and practitioners regarding the potential impacts of ChatGPT on students' learning. However, research on higher education students' adoption of ChatGPT is still scant. Drawing on the modified technology acceptance model (TAM) and a sample of 1389 higher education students recruited in 11 universities in Vietnam with a stratified random sampling approach, the findings of this study indicated that effort expectancy not only directly affected students' actual usage of ChatGPT, but also serially indirectly increased their actual use of ChatGPT through performance expectancy and intentions to use ChatGPT. Additionally, knowledge sharing was found to significantly increase higher education students’ transformation from having the intention to use ChatGPT to actual users of ChatGPT. The theoretical and managerial implications of this are discussed in this paper in order to gain benefits and manage the potential threats from this new technology.

Predicting electronic personal health record (e-PHR) acceptance: evidence from emerging market

PurposeWith the function to store individual’s data input, personal health record (PHR) enhanced the accessibility to personal health information. This study aims to assess the factors that impact the intention of Malaysian internet users to use PHR and create a modified technology acceptance model (TAM) for eHealth.Design/methodology/approachMultivariate statistical analysis was performed on a total of 216 responses using the partial least square technique based on the cross-sectional survey among Malaysian internet users.FindingsBehavioral intention was positively associated to PHR. Subjective norm significantly influenced both attitude and intention to use, whereas trust and perceived usefulness significantly influenced attitude. There was no significant positive impact in the relationships between compatibility and perceived ease of use and intention to use; nevertheless, they positively influenced perceived usefulness. Attitude exhibited mediating influence between trust, perceived usefulness and subjective norm and intention to use. Nonetheless, perceived risk did not affect behavioral intention. Thus, PHR acceptance was well-justified by the modified TAM in evaluating eHealth acceptance.Practical implicationsThe eHealth vendors can enhance their marketing and development strategies on related products.Originality/valueLiteratures and empirical evidence on eHealth are still scarce, especially in emerging markets. The role of attitude may not be well-researched in health-care context, therefore was included in this study’s modified TAM. Critical determinants, namely, trust and risk, were added to the model.

Digital Bank User Acceptance Analysis Using The Extended Technology Acceptance Model

The Covid-19 pandemic requires banks to provide electronic payments, carry out digital transformation and open up opportunities for financial technology-based companies. Digital transformation in banking requires reliable integration and security between systems. Otherwise, it can become a gap for cyber attacks. Cyber security in banking includes Confidentiality, Integrity, Availability, Non-repudiation, and Authentication. Jenius is the first digital bank in Indonesia that makes it easy for customers to complete transactions and manage finances digitally without going to the bank. This bank was once a victim of a cyber attack that attacked customers with material losses of around 50 billion and non-material losses in the form of decreased bank credibility. Digital Bank also has problems that often occur, such as failing to identify customers, differences in facts on proof of transfer, frequent force close applications, etc. This study aims to determine the effect of security on behavioral intention and other factors that influence behavioral choice in this digital bank using the modified Technology Acceptance Model (TAM) model. The variables used are Confidentiality, Integrity, Availability, Non-repudiation, Authentication, Perceived Security, Perceived usefulness (PU), Perceived Trust, Perceived Ease of Use (PEoU), and Behavioral Intentions. This research uses quantitative methodology by distributing questionnaires to 200 sample customers. The measurement results show that more than half variables are accepted. The four rejected variables are the Confidentiality, Availability, and Non-repudiation variables to perceived security and the Perceived Ease of Use (PEoU) variable for the trust variable. Future research can add several external variables and review the rejected variables.

Key Factors Influencing the Adoption of Building Information Modeling at PT. Penta Rekayasa

This study aims to uncover key factors influencing adoption process of BIM technology in an engineering consultant firm, Penta Rekayasa. The research employs mixed-methods approach combining quantitative analysis and qualitative input from industry experts and user judgement. A comprehensive of reviewing existing literature used to design a conceptual framework. A modified Technology Acceptance Model (TAM) of Unified Theory of Acceptance and Use of Technology (UTAUT) chosen as a main landing theory to design conceptual framework. Additionally, seven main constructs identified to influence usage behavior along with seven hypotheses proposed: Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), Organizational Support (OS), Resistance to Change (RC), Facilitating Condition (FC) and Behavioral Intention (BI). Primary data is collected using questionnaire and semi-structure interview, further analysis is carried out utilizing SmartPLS software’s Partial Least Squares – Structural Equation Modelling (PLS-SEM) and thematic analysis for interview analysis. The findings demonstrate that four major constructs are regarded as influencing factors in the Penta BIM adoption process: Performance Expectancy (PE), Effort Expectancy (EE), Resistance to Change (RC), and Behavioral Intention (BI). Other three are neither supported as the path coefficient, p-values and t-values threshold is exceed. The result of thematic analysis using Braun &amp; Clarke’s six-phase framework show three main problems arises that negatively influence the adoption process: Social influence and organizational support – unsupportive figure; Resistance to change – Penta’s employee resist to change; and facilitating condition – socialization and training importance. Based on user judgement, theories or practical article, and expert opinion; business solutions are proposed: Develop training and development system that can be used for BIM and future training; budgeting external education include seminar or bootcamp; Held internal meeting with stakeholders to increase the employee engagement and aligned goals with high management profile figure. For a long-term goal, Penta may also consider to develop BIM division in order to increase the speed of project completion. Lastly, the actionable schedule of implementation plan is proposed based on internal recommendation, project design life cycle, and working schedule to ensure the effectiveness of the program.

Comparison of nursing diagnostic accuracy when aided by Knowledge-Based Clinical Decision Support Systems with Clinical Diagnostic Validity and Bayesian Decision Models for psychiatric care plan formulation among nursing students: a quasi-experimental study

BackgroundThe most suitable and reliable inference engines for Clinical Decision Support Systems in nursing clinical practice have rarely been explored.PurposeThis study examined the effect of Clinical Diagnostic Validity-based and Bayesian Decision-based Knowledge-Based Clinical Decision Support Systems on the diagnostic accuracy of nursing students during psychiatric or mental health nursing practicums.MethodsA single-blinded, non-equivalent control group pretest–posttest design was adopted. The participants were 607 nursing students. In the quasi-experimental design, two intervention groups used either a Knowledge-Based Clinical Decision Support System with the Clinical Diagnostic Validity or a Knowledge-Based Clinical Decision Support System with the Bayesian Decision inference engine to complete their practicum tasks. Additionally, a control group used the psychiatric care planning system without guidance indicators to support their decision-making. SPSS, version 20.0 (IBM, Armonk, NY, USA) was used for data analysis. chi-square (χ2) test and one-way analysis of variance (ANOVA) used for categorical and continuous variables, respectively. Analysis of covariance was done to examine the PPV and sensitivity in the three groups.ResultsResults for the positive predictive value and sensitivity variables indicated that decision-making competency was highest in the Clinical Diagnostic Validity group, followed by the Bayesian and control groups. The Clinical Diagnostic Validity and Bayesian Decision groups significantly outperformed the control group in terms of scores on a 3Q model questionnaire and the modified Technology Acceptance Model 3. In terms of perceived usefulness and behavioral intention, the Clinical Diagnostic Validity group had significantly higher 3Q model and modified Technology Acceptance Model 3 scores than the Bayesian Decision group, which had significantly higher scores than the control group.ConclusionKnowledge-Based Clinical Decision Support Systems can be adopted to provide patient-oriented information and assist nursing student in the rapid management of patient information and formulation of patient-centered care plans.

Students’ Acceptance of Learning Management Systems at the Peak of Covid-19 Pandemic by Employing a Modified Technology Acceptance Model

Objectives: This study aimed to investigate the motivating variables that affect students’ attitudes toward using Learning Management Systems (LMS) during the Covid-19 pandemic and beyond by extending the Technology Acceptance Model (TAM) to include perceived enjoyment and perceived trustworthiness. Methods: Data were collected from 599 tertiary students from across five public universities in Ghana using online questionnaires to measure Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Towards Use (ATU), and Behavioural Intention (BI). The collected data were analyzed using PLS-SMART. Findings: The study’s findings suggest that perceived usefulness and perceived ease of use affect students’ attitudes toward LMS use (That is, PEU — > ATU [O = 0.227, t = 4.747, p = 0.000] and PU — > ATU [O = 0.430, t = 8.993, p = 0.000]), which affects students’ behavioural intention to use IT (That is, ATU — > BI [O = 0.314, t = 6.828, p = 0.000]). In addition, the most vital relationship was “perceived ease of use” as a predictor of “perceived usefulness” (That is, PEU — > PU [O = 0.440, t = 10.025, p = 0.000]). Furthermore, contrary to expectations, perceived enjoyment and perceived trustworthiness, also considered critical predictors, did not affect students’ attitudes toward LMS use (That is, PE — > ATU [O = 0.085, t = 1.776, p = 0.076] and PT — > ATU [O = 0.033, t = 0.744, p = 0.457]). Novelty: These findings provide valuable insights which can enhance education quality and students’ acceptance of LMS during mandated environments such as the COVID-19 pandemic. The framework of the study is an extension of the original TAM model, including new constructs, perceived enjoyment, and perceived trustworthiness. Keywords: Covid19; TAM; User acceptance; Tertiary institutions; LMS; Perceived enjoyment; Perceived trustworthiness