A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach

Computers and Education Artificial Intelligence, Journal Year: 2022, Volume and Issue: 3, P. 100052 - 100052

Published: Jan. 1, 2022

The metaverse is a kind of imagined world with immersive digital spaces that increase, allowing more interactive environment in educational settings. an expansion the synchronous communication embraces effective number users to share different experiences. study aims investigate students' perceptions towards system for purposes Gulf area. conceptual model comprises adoption properties, namely trialability, observability, compatibility, and complexity, users' satisfaction, personal innovativeness, Technology Acceptance Model (TAM) constructs. novelty paper lies its correlates both personal-based characteristics technology-based features. In addition, novel approach hybrid analysis will be used current perform deep-learning-based structural equation modelling (SEM) artificial neural network (ANN). Moreover, importance-performance map (IPMA) evaluate involved factors their importance performance. identified Perceived Usefulness (PU) essential predictor factor Users’ Intention Use Metaverse System (MS). fact was discovered during ANN IPMA analysis. Furthermore, this practically significant, as it helped concerned authorities sector understanding significance each allowed them make efforts plans according order factors. Another important implication methodological nature. It validates deep architecture can offer insight into non-linear relationships shared by various theoretical model.

Language: Английский

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The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

Informatics, Journal Year: 2021, Volume and Issue: 8(4), P. 83 - 83

Published: Nov. 24, 2021

The purpose of this study is to investigate students’ intention continue using online learning platforms during face-to-face traditional classes in a way that parallel their usage virtual (during the pandemic). This investigation based on conceptual model uses newly used external factors addition technology acceptance (TAM) contrasts; hence, it takes into consideration users’ satisfaction, factor information richness (IR) and quality educational system disseminated. participants were 768 university students who have experienced teaching environments both pandemic. A structural equation modelling (SEM) test was conducted analyse independent variables, including situation awareness (SA), perceived ease use, usefulness, IR, education quality. An questionnaire explore perceptions use accessibly environment. results showed (a) prefer higher level content richness, be able implement three dimensions (perception, comprehension projection); (b) there significant effects TAM constructs satisfaction acceptance; (c) are favour platform characterised by high (d) with more positive attitude willingness system.

Language: Английский

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Factors affecting social TV acceptance among Generation Z in Jordan

Acta Psychologica, Journal Year: 2022, Volume and Issue: 230, P. 103730 - 103730

Published: Aug. 30, 2022

The integration of television screens to become a new media interaction is one the most significant shifts that technology has brought us. Today, Social TV developed source communication, education, and entertainment through interactive platforms. This study examines factors influencing acceptance among Generation Z in Jordan. We employed cross-sectional design obtained data from n = 304 respondents. Findings attained Structural Equation Modelling revealed different (e.g., personal beliefs, attitude towards behaviour, intention behaviour) predicted respondents' attitudes behaviour regarding behavioural acceptance. However, was not linked subjective norms, with latter correlated behaviour. proposed mediation role perceived ease-of-use usefulness had influence, indicating how deeply associated patterns habits. Thus, we conclude terms explaining human motivational accelerating one's intention, their impacts, complex phenomenon.

Language: Английский

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Factors Determining Consumer Acceptance of NFC Mobile Payment: An Extended Mobile Technology Acceptance Model

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3664 - 3664

Published: Feb. 16, 2023

The demand for mobile payments using smartphones to substitute the need cash, credit cards, or checks is swiftly increasing in Pakistan. This study investigates factors determining consumers’ behavioral intention adopt near-field communication payment from a developing country’s viewpoint. A conceptual framework was adopted based on technology acceptance model (MTAM), integrating self-efficacy theory, critical mass flow and system service quality elucidate intention. Data were collected through self-administered questionnaire applied 310 nonusers of analysis performed SmartPLS3.0. results demonstrated that other independent variables are main predictors besides self-efficacy, perceived mass, ease use. concludes with key implications future work directions concerning limitation this study.

Language: Английский

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Extended Model of Expectation Confirmation Model to Examine Users’ Continuous Intention Toward the Utilization of E-Learning Platforms

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 40752 - 40764

Published: Jan. 1, 2024

The utilization of E-learning platforms has attracted considerable attention recently. Universities are increasingly adopting diverse that offer a range features to enhance student satisfaction and promote their sustained platforms. task consistently engaging encouraging students use remains persistent challenge. Many tend discontinue participation in E-Learning platform courses, showing reluctance towards engagement with the platform. Therefore, this research analyses essential factors impacting students' inclination sustain present study uses "Expectation Confirmation Model" (ECM) four factors: "interactivity", "social influences", "computer self-efficacy", "perceived enjoyment". A survey was administered college via online Google Forms, resulting 362 respondents. data analysis is conducted using Smart-PLS 4 Programme. Based on its findings, presented "conceptual framework" for Results show perceived enjoyment, satisfaction, interactivity, computer self-efficacy, social influences impact continuing intention. This indicates most substantial consequence intention persist utilizing model prediction power (R2) 70 %, which can explain users' continuous

Language: Английский

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How Artificial Intelligence can leverage Project Management Information system (PMIS) and data driven decision making in project management

International Journal of Business Analytics and Security (IJBAS), Journal Year: 2023, Volume and Issue: 3(1), P. 180 - 191

Published: May 7, 2023

This article focuses on the opportunities of utilizing Artificial intelligence in project management general. Special emphasis to data driven decision making and relevant tools represented processes, techniques PMIS. The used support this research is collected from primary secondary sources emphasize paper results. approach collection was a qualitative method where interviews conducted. Advanced projects cases Dubai UAE were also investigated. results showed that with creation big data, AI can now be more than just technology capable performing complex tasks using advanced algorithms. helps effectively through integrating phases entire lifecycle process. Bringing domain across world provide sustainable for future generations. It assists faster smarter decisions. recommended monitor until users are satisfied trust systems outcome. will have tremendous growth as smart cities growing bigger , demanding.

Language: Английский

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Artificial Intelligence Methodologies for Data Management

Symmetry, Journal Year: 2021, Volume and Issue: 13(11), P. 2040 - 2040

Published: Oct. 29, 2021

This study analyses the main challenges, trends, technological approaches, and artificial intelligence methods developed by new researchers professionals in field of machine learning, with an emphasis on most outstanding relevant works to date. literature review evaluates methodological contributions through learning. The methodology used documents was content analysis; basic terminology corresponds intelligence, big data between years 2017 2021. For this study, we selected 181 references, which 120 are part review. conceptual framework includes 12 categories, four groups, eight subgroups. management using AI methodologies presents symmetry learning groups: supervised unsupervised semi-supervised reinforced Furthermore, more all groups neural networks, Support Vector Machines, K-means, Bayesian Methods. Finally, five research avenues presented improve prediction

Language: Английский

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Adoption of e-payment platforms amidst Pandemic

International Journal of Innovations in Science Engineering and Management., Journal Year: 2025, Volume and Issue: unknown, P. 01 - 06

Published: April 7, 2025

Cash has been the major means of transaction among people but after spread COVID-19, cash become a potential carrier disease. There is high risk associated with usage as it passes on from one hand to other. In such case e payment platforms comes rescue. These not only reduce spreading COVID-19 also make transactions convenient. A large number e-payment are available in country. People had using even before pandemic populations was reluctant because perceived risks its usage. But, inspired consider benefits payments comparison risks. The paper deals relation that how usefulness have impacted adoption and amidst COVID-19. study done help questionnaire sample size 219 people.

Language: Английский

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Enhancing Sustainability of E-Learning with Adoption of M-Learning in Business Studies

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3487 - 3487

Published: April 14, 2025

The rapid development of information technologies has significantly transformed education, making digital tools and e-learning platforms essential for modern learning processes. This research study examines mobile (m-learning) adoption among higher education students, emphasising the importance user acceptance implementing in education. Using a model based on UTAUT framework analysed via PLS–SEM, investigates business students’ behavioural intention to adopt m-learning (in our case, Microsoft Teams), offering valuable insights into their efficacy long-term viability, explicitly focusing use devices version Teams application educational purposes. study’s findings indicate that all four examined factors influence applications, with “performance expectancy” having most substantial impact. survey highlights sustained even after pandemic. These results reinforce expectations improved performance play crucial role adopting apps m-learning. also suggest increasing rates requires improving system usability, minimising reliance external support through intuitive design training, leveraging peer enhance engagement environments.

Language: Английский

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Learners’ engagement assessment in e-learning during the COVID-19 pandemic: nation-wide exploration

Education and Information Technologies, Journal Year: 2022, Volume and Issue: 27(8), P. 10647 - 10663

Published: April 19, 2022

Language: Английский

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