Assessing the Intention to Adopt Cloud Accounting during COVID-19

Electronics, Journal Year: 2022, Volume and Issue: 11(24), P. 4092 - 4092

Published: Dec. 8, 2022

The information technology (IT) revolutionization aside with the emergence of COVID-19 have catalyzed cloud-computing services and systems multiple end-user benefits for online business management, specifically in accounting discipline. For example, cloud enables significant reduction organisational IT investment flexible access to a large group scalable resources. small medium size enterprises (SMEs) independently engage fundamental bookkeeping responsibilities rather than hiring external auditors same services. As cloud-based adoption remains preliminary stage within Jordanian businesses, this study applied technology, organisation, environment model explore among SMEs. data were gathered from 156 SME owners or managers structured survey questionnaire. recommended framework encompassed seven determinants that influenced intention. Resultantly, except Perceived knowledge uncertainty factor, proposed hypotheses supported as aforementioned factors (relative advantages, security concerns, top management support, organizational readiness, competitor’s intensity suppliers computing support) positively significantly outcomes could facilitate field decision-makers practitioners by investigating an actual case based on essentiality its application.

Language: Английский

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The Role of E-Accounting Adoption on Business Performance: The Moderating Role of COVID-19

Journal of risk and financial management, Journal Year: 2022, Volume and Issue: 15(12), P. 617 - 617

Published: Dec. 19, 2022

In the last decade, information systems (ISs) have made dynamic developments in light of their ability to enhance performances businesses. relation this, an organization that is effectively and efficiently managed often displays optimum performance using financial such as electronic accounting (e-accounting). Thus, essentially, e-accounting utilized for automation operational processes improving business efficiency performance. More currently, development has laid credence businesses a way influence cannot be exaggerated. Nevertheless, past studies evidenced successful depends on critical success factors, hence this study primarily aims conduct evaluation DeLone McLean’s system model (DM ISM) among firms Jordan. specifically, determines quality, service usage, user satisfaction The current adopted quantitative method, applying self-administered survey questionnaire purpose data collection from 104 users. This employed partial least squares structural equation modeling (PLS-SEM) validate data, based findings, quality affect use; had no significant impact use, but use Moreover, positively extension IS literature, particularly those focused determining effects benefits. validated proposed context Jordanian contributes both literature practice e-accounting. provided implications, limitations, recommendations future research.

Language: Английский

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Investigating the Role of Perceived Risk, Perceived Security and Perceived Trust on Smart m-Banking Application Using SEM

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 9908 - 9908

Published: June 21, 2023

Effective security support remains a challenge, even for mobile banking applications; this is leading to the loss of many customers due limited protection customer data and privacy. Cyber threats include everything from identity theft malware email online fraud. Thus, businesses individuals should use risk assessment methods countermeasures protect their m-banking apps. With in mind, new model using Technology Acceptance Model (TAM) has been proposed. The broken down into six main countermeasure categories, namely: perceived risk, security, trust, ease use, usefulness service quality. To test model, structural equation modelling (SEM) was used. Our findings reveal that trust quality play key roles improving adoption In addition, indicate had negative impact on both clients’ attitudes toward services. proposed could increase apps by enhancing defenses against issues. enhances reduction (63.0%), (75.0%), (32.1%), (74.0%), (44.0%) (45.3%) ratios.

Language: Английский

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Exploring the Acceptance and User Satisfaction of AI-Driven e-Learning Platforms (Blackboard, Moodle, Edmodo, Coursera and edX): An Integrated Technology Model

Sustainability, Journal Year: 2023, Volume and Issue: 16(1), P. 204 - 204

Published: Dec. 25, 2023

As e-learning platforms gain traction globally, understanding students’ perceptions and intentions towards these is paramount, especially within the context of Saudi universities, where rapidly emerging as a transformative educational tool for sustainable development. This study examined influence different AI-based social learning networks, personal portfolios, environments on university perceived usefulness ease use regarding AI-driven (Blackboard, Moodle, Edmodo, Coursera edX). Furthermore, explored direct effects satisfaction to e-learning. The also delved into moderating individual characteristics like readiness self-directed e-learning, self-efficacy, innovativeness intentions. A cross-sectional design was employed, collecting self-reported data from strong sample students using stratified random sampling. targeted 500 universities in Arabia. Results underscored significant use. Both significantly positively influenced satisfaction, influencing attitudes toward but not their intention it. Student characteristics, showed notable impacts However, interaction with yielded insignificant

Language: Английский

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AI Adoption and Educational Sustainability in Higher Education in the UAE

Studies in big data, Journal Year: 2024, Volume and Issue: unknown, P. 201 - 229

Published: Jan. 1, 2024

Language: Английский

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Green environmental management system and environmental performance: Results from PLS-SEM and fsQCA

Sustainable Futures, Journal Year: 2024, Volume and Issue: 8, P. 100276 - 100276

Published: Aug. 15, 2024

Language: Английский

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Exploring the relationship of psychological factors and adoption readiness in determining university teachers’ attitude on AI-based assessment systems

The International Journal of Management Education, Journal Year: 2024, Volume and Issue: 22(2), P. 100967 - 100967

Published: March 18, 2024

Language: Английский

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An explanatory study of factors influencing engagement in AI education at the K-12 Level: an extension of the classic TAM model

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 17, 2024

Abstract Artificial intelligence (AI) holds immense promise for K-12 education, yet understanding the factors influencing students’ engagement with AI courses remains a challenge. This study addresses this gap by extending technology acceptance model (TAM) to incorporate cognitive such as intrinsic motivation (AIIM), readiness (AIRD), confidence (AICF), and anxiety (AIAX), alongside human–computer interaction (HCI) elements like user interface (UI), content (C), learner-interface interactivity (LINT) in context of using generative (GenAI) tools. By including these factors, an expanded is presented capture complexity student education. To validate model, 210 Chinese students spanning grades K7 K9 participated 1 month artificial course. Survey data structural equation modeling reveal significant relationships between HCI perceived usefulness (PU) ease use (PEOU). Specifically, AIIM, AIRD, AICF, UI, C, LINT positively influence PU PEOU, while AIAX negatively affects both. Furthermore, PEOU significantly predict attitudes toward curriculum learning. These findings underscore importance considering design implementation education initiatives. providing theoretical foundation practical insights, informs development aids educational institutions businesses evaluating optimizing AI4K12 strategies.

Language: Английский

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Developing and Validating a Scale of Artificial Intelligence Anxiety Among Chinese EFL Teachers

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Jan. 7, 2025

ABSTRACT As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading increasing levels of anxiety, including that in education. Nonetheless, terms current knowledge, the literature lacks a valid scale measure AI anxiety among EFL teachers, particularly university teachers. Moreover, underlying dimensions this construct yet be clarified. Against these gaps, study aims develop and validate assess teachers China. We used qualitative interviews quantitative surveys combined identify key In so doing, 251 Chinese completed newly designed scale. The result exploratory factor analyses indicated five 21 items questionnaire. Five were identified: technical proficiency, job displacement, technological support, student experience research development. Next, another 415 participated validating confirmatory analysis demonstrated strong reliability, validity an acceptable model fit. This new provides useful tool for assessing highlights unique challenges they face adapting AI, offering basis future targeted support.

Language: Английский

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Artificial intelligence in compulsory level of education: perspectives from Namibian in-service teachers

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(10), P. 12569 - 12596

Published: Dec. 7, 2023

Abstract With the push to integrate Artificial Intelligence (AI) from kindergarten twelfth-grade levels comes a need for equipped teachers. However, there needs be more initiative in professional learning opportunities, which demands required effort ensure teachers learn AI content they will teaching. To design an effective development program, understanding teachers' existing knowledge, interest and disposition towards is crucial devise strategies that could best support As result, this study aims investigate in-service perspectives of teaching schools perspective planned behavior theory. Using 7-factor scale Anxiety, Readiness, Relevance, Attitude using AI, Social Good, Confidence Behavioral Intention. This sampled 159 Namibia. The responses were analyzed with SmartPLS Structural Equation Modelling various Multigroup Analysis techniques. found behavioral intention teach depends on combination factors, including relevance attitude use social good confidence. Meanwhile, Anxiety readiness not linked AI. We discussed our findings, highlighted implication, suggested future directions.

Language: Английский

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