scholarly journals Customized moodle-based learning management system for socially disadvantaged schools

2021 ◽  
Vol 10 (6) ◽  
pp. 3325-3332
Author(s):  
Ika Qutsiati Utami ◽  
Muhammad Noor Fakhruzzaman ◽  
Indah Fahmiyah ◽  
Annaura Nabilla Masduki ◽  
Ilham Ahmad Kamil

This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.

2021 ◽  
pp. 003329412199778
Author(s):  
Maria Manolika ◽  
Rigas Kotsakis ◽  
Maria Matsiola ◽  
George Kalliris

Increasing consensus among information systems researchers suggests that personality accounts for the effective use of several technologies, yet less is known about the process through which personality affects user perceptions of technology acceptance. This study, therefore, examined whether personality is associated with student perceptions of audiovisual technology acceptance, and whether general self-efficacy mediates this association. In total, 244 students completed an online survey including measures of personality, general self-efficacy, and perceptions of audiovisual technology acceptance. Canonical correlation uncovered significant associations between personality and student beliefs about technology use. Results further revealed that general self-efficacy fully mediated the effects of openness to experience and neuroticism on Perceived Ease of Use, whereas the association between agreeableness and Perceived Usefulness was partially mediated by self-efficacy beliefs. The fact that personality influences students’ perceptions of technology acceptance both directly and indirectly should not remain unnoticed, especially when designing intervention programs to enhance their academic performance.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Mingyu Liu ◽  
Jianping Wu ◽  
Chunli Zhu ◽  
Kezhen Hu

Autonomous vehicles (AVs) have been reported to improve road safety, reduce traffic congestion, and increase urban mobility. However, the high price of AVs is currently a challenge for most consumers. Robo-taxi services, with ride-sharing services and AVs, are regarded as a good approach to solving this problem. As some companies have started testing Robo-taxis on the actual road, it has become important to investigate public adoption of Robo-taxi services before they are more widely introduced to the market. This study aims to explain and predict users’ acceptance of Robo-taxis by extending the Technology Acceptance Model by including the construct of social influence. Data were collected from an online survey in China and analyzed using linear regression models. The results indicate that perceived usefulness, perceived ease of use, and social influence have significant positive correlations with people’s behavior intentions to use Robo-taxis. Perceived ease of use further has an indirect effect on intention to use via perceived usefulness. The results of this study can serve as good references for policymakers, operators, and future transport researchers.


2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.


Author(s):  
Dety Nurfadilah ◽  
Sudarmawan Samidi

The objective of this study is to investigate the factors that are affecting customers’ intention to use Islamic FinTech services during the Covid-19 crisis. It expands the technology acceptance model (TAM) by adding government support as a new variable for the context of Islamic FinTech services during the pandemic. Using TAM as a framework, we propose a model outlining the impact of government regulation, perceived usefulness, perceived ease of use, perceived trust, and user innovativeness on consumer attitude behaviour and the intention to use Islamic FinTech services, such as payment and peer-to-peer lending. 220 sets of data were collected from an online survey and analysed using partial least squares-structural equation modelling (PLS-SEM). The results show that government support for Islamic FinTech during the Covid-19 pandemic has had an indirect impact on attitude behaviour in using Islamic services through perceived ease of use and perceived usefulness. Attitude behaviour was found to have an impact on intention.


2015 ◽  
Vol 10 (4) ◽  
pp. 634-647 ◽  
Author(s):  
Ather Akhlaq ◽  
Ejaz Ahmed

Purpose – More research is needed to understand the online shopping behaviors and intentions of consumers in emerging economies. The purpose of this paper is to examine the extent to which key variables from the Technology Acceptance Model (perceived usefulness (PU) and ease of use (PEOU)), and others theoretically associated with digital engagement (distrust, perceived risk (PR), perceived enjoyment (PE) and legal framework (LF)), accounted for variation in online shopping intentions in Pakistan, focussing on affiliates of a large metropolitan university. Design/methodology/approach – Online survey using a convenience sample of university staff, students and alumni recruited through the university’s online network. A questionnaire capturing the above constructs was tested for content validity and reliability prior to dissemination. The survey results were factor analyzed to determine the degree to which the constructs were independent, and regression was used to examine their ability to predict online purchasing intentions. User characteristics were analyzed descriptively. Findings – All six independent factors, PU, PEOU, PR, PE, distrust and LF, in the model were independently predictive of intention to shop online and supported the theoretical model by demonstrating the predicted direction of the relationship. Research limitations/implications – There are limitations in the generalizability of the findings. Most of the data being collected were only from Karachi, the biggest metropolitan city and the business hub of Pakistan. Practical implications – This research may help retailers in becoming e-tailers. The model would also help existing e-tailers to streamline their business according to the research findings. In addition, government may work on policies to provide a better online business environment to the people of Pakistan. Originality/value – A new online shopping model has been discovered for an emerging market, Pakistan. Developing countries could take advantage of this model to get real insights of their e-tailing industry.


2021 ◽  
Vol 17 (4) ◽  
pp. 118-137
Author(s):  
Junrie B. Matias

This study investigates the factors affecting the usage behavior and intention towards online purchasing platforms in purchasing agriculture and fisheries products online based on the technology acceptance model. External factors adapted from current literature were integrated with the model to understand the consumer intention and behavior towards online purchasing. An online survey with 318 respondents was used to test the hypotheses of the theoretical model using partial least squares component-based structural equation modeling. Results show that trust is a significant predictor of usage behavior. Furthermore, the factors visibility, perceived risk, perceived value, and enjoyment have directly or indirectly influenced intention and usage behavior through trust, perceived ease of use, and perceived usefulness. The researcher considers this work to have contributed essential inputs to other researchers interested in studying the adoption of online purchasing in fisheries and agriculture products.


Author(s):  
Kamaljeet Sandhu ◽  
Hadeel Alharbi

The aim of this article is to present the multivariate analyses results of the factors that influence students' acceptance and the continuance usage intention of e-learning analytics recommender systems in higher education institutions in Saudi Arabia. Data was collected from 353 Saudi Arabian university students via an online survey questionnaire. The research model was then used to examine the hypothesised relationships between user experiences of an e-learning analytics recommender system and their intentions for long-term adoption of the system. The research model was primarily based on the Technology Acceptance Model (TAM) developed by Davis (1989) – the variables ‘perceived usefulness,' ‘perceived ease of use,' and ‘acceptance,' particularly – with ‘continuance usage intention' added as an endogenous construct, and with ‘service quality' and ‘user experience' added as external variables.


Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 3
Author(s):  
Audrey Dumbura ◽  
Esma Ergüner Özkoç

In this study, Zimbabwe Electricity Supply Authority (ZESA), which is the only electricity producer and supplier of public grid products (prepaid meters, mobile payment) in Zimbabwe, was evaluated according to the Technology Acceptance Model (TAM) for perceived usefulness, perceived ease of use and attitude toward using technology. The objective of the study was to examine consumers’ technology acceptance of ZESA’s new technology-dependent products. In this context, an online survey was conducted with 262 participants. The results obtained in the study were in parallel with the theory. In addition, consumers from different ages and educational backgrounds were able to purchase their electricity tokens without difficulty.


Author(s):  
Wei-Min Huang

Due to an aging population and the impact of chronic disease, health insurance costs in Taiwan have increased year by year. In order to allow people access to great medical care from home or within their community, the Taiwanese government has promoted a number of telehealthcare policies. Most related research emphasizes the technology involved in such policies, but this study considers instead the combination of a technology acceptance model, a health belief model, and measures of trust within the community to probe the Taiwanese telehealthcare system. This study was developed to examine factors that affect the usage, attitudes, and intentions of healthcare consumers within a telehealthcare system. 284 responses were collected via an online survey and analyzed using SPSS 23 and smart PLS2.0. The results showed that perceived ease of use and usefulness were affected by social trust, perceived usefulness was affected by perceived ease of use, users’ attitudes were affected by perceived ease of use and perceived usefulness, and user intention was affected by perceived usefulness, perceived seriousness, perceived benefits, and cues to action.


2021 ◽  
Vol 13 (16) ◽  
pp. 9043
Author(s):  
Jo-Hung Yu ◽  
Gordon Chih-Ming Ku ◽  
Yu-Chih Lo ◽  
Che-Hsiu Chen ◽  
Chin-Hsien Hsu

The purpose of the study is to explore the antecedents of university students’ fitness application usage behaviours by combining the theory of planned behaviour and the technology acceptance model. An anonymous questionnaire survey was adopted to address the objectives of the study. Purposive and snowball sampling was used to select eligible students from six universities in Zhanjiang City. An online survey was used to collect data from 634 eligible subjects, and partial least squares structural equation modelling was used to analyse the collected data. The results indicated that the students’ perceived usefulness (β = 0.17, p < 0.05) and perceived ease of use (β = 0.32, p < 0.05) concerning the application and their attitude (β = 0.31, p < 0.05) toward it significantly influenced their usage intentions. Furthermore, perceived usefulness (β = 0.11, p < 0.05) and perceived ease of use (β = 0.38, p < 0.05) fully mediated the relationship between subjective norms and usage intentions. However, subjective norms and perceived behavioural control did not enhance the students’ intentions to use fitness applications. That is, students’ attitudes and fitness application design are the determinants of usage intention. Accordingly, improving students’ fitness applications usage intention requires strategies that involve customised services, social networking, and collaboration with schools; this would further increase students’ engagement in physical exercise.


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