Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States DOI Creative Commons
Mahmoud Sayed Mohamed Ali, Khaled Zaki AbuElkhair Wasel, Amr Mohamed Mahmoud Abdelhamid

и другие.

Journalism and Media, Год журнала: 2024, Номер 5(4), С. 1624 - 1645

Опубликована: Ноя. 6, 2024

This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) among Arabian users of generative artificial intelligence (GenAI) applications in context media content creation. The study’s theoretical framework is grounded unified theory acceptance use technology (UTAUT2). A sample 496 was analysed using partial least squares structural equation modelling technique (PLS-SEM). results revealed BI significantly influenced by performance expectancy, effort social influence, hedonic motivation, habit, trust, with motivation having greatest impact. In terms UB, facilitation conditions, were all found have a positive significant study contributes existing on utilisation GenAI organising findings pertaining AI for

Язык: Английский

Exploring international students' perceptions of adopting generative artificial intelligence (GenAI) technologies in learning DOI Creative Commons

C.-M. Cho,

Duke Ofosu-Anim

Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101418 - 101418

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Students' behavioural intention to use content generative AI for learning and research: A UTAUT theoretical perspective DOI Creative Commons
Mohammed Nasiru Yakubu,

N. Gnanamalar David,

Naima Hafiz Abubakar

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0
Evolutionary Game Analysis of Universities and Enterprises in Empowering Vocational Education with Artificial Intelligence DOI
W.-C. Fang

Опубликована: Дек. 6, 2024

Язык: Английский

Процитировано

0
Generative AI and Media Content Creation: Investigating the Factors Shaping User Acceptance in the Arab Gulf States DOI Creative Commons
Mahmoud Sayed Mohamed Ali, Khaled Zaki AbuElkhair Wasel, Amr Mohamed Mahmoud Abdelhamid

и другие.

Journalism and Media, Год журнала: 2024, Номер 5(4), С. 1624 - 1645

Опубликована: Ноя. 6, 2024

This article aims to investigate the factors that affect behavioural intention (BI) and user behaviour (UB) among Arabian users of generative artificial intelligence (GenAI) applications in context media content creation. The study’s theoretical framework is grounded unified theory acceptance use technology (UTAUT2). A sample 496 was analysed using partial least squares structural equation modelling technique (PLS-SEM). results revealed BI significantly influenced by performance expectancy, effort social influence, hedonic motivation, habit, trust, with motivation having greatest impact. In terms UB, facilitation conditions, were all found have a positive significant study contributes existing on utilisation GenAI organising findings pertaining AI for

Язык: Английский

Процитировано

0