What Does it Take to Trigger Intention to Use Artificial Intelligence among Students in Higher Education Institutions? DOI Open Access
Zahir Osman,

Ratna Khuzaimah Mohamad,

Nadzurah Kasbun

et al.

International Journal of Academic Research in Business and Social Sciences, Journal Year: 2024, Volume and Issue: 14(7)

Published: July 17, 2024

The increasing integration of Artificial Intelligence (AI) in higher education institutions necessitates a student prepared for this transformative change. This study investigates the factors influencing students' intention to use AI tools their study. Drawing upon Technology Acceptance Model (TAM), research aims understand how perceived ease use, and usefulness impact with attitude, self-efficacy as mediators. Data collection employed survey instrument distributed sample 319 students from public private institutions. measured participants' perceptions usefulness, attitude towards AI, self-efficacy, Statistical analysis utilized Partial Least Squares (PLS) assess relationships between proposed variables test formulated hypotheses. results hypothesis testing confirmed positive influence on tools, aligning TAM principles. Furthermore, revealed that act mediating factors, bridging gap use. These findings suggest beyond just technical aspects perceptions, attitudes, confidence levels significantly willingness study's implications are significant organizations implementing AI. By prioritizing user-centered design emphasizing training skill development enhance communicating benefits address can foster more Additionally, promoting culture learning support boost student's ultimately encourage wider usage within organization.

Language: Английский

Exploring the use of artificial intelligence in Indonesian accounting classes DOI Creative Commons

Fachrurrozie Fachrurrozie,

Ahmad Nurkhin, Jarot Tri Bowo Santoso

et al.

Cogent Education, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 4, 2025

This study aims to reveal the use of artificial intelligence (AI) in accounting classes, analyze factors that influence educators AI continuously learning, and describe challenges ethics developing AI. The research population is (teachers lecturers) Indonesia who are members Professional Alliance Accounting Educators throughout Indonesia. sampling method used was purposive sampling. data collection a questionnaire distributed online via Google form platform, which gathered 230 responses, including 146 teachers 84 lecturers. descriptive analysis structural equation model were data. findings show Canva most widely tool, followed by ChatGPT. Teachers lecturers primarily create learning materials write academic articles. results only performance expectancy gender significantly impact intention education. Conversely, competence key affecting actual usage behavior learning. In addition, various exist using AI, issues related effectiveness efficiency, IT ethics, fostering student engagement interaction.

Language: Английский

Citations

1

Factors influencing Chinese college students’ intention to use AIGC: a study based on the UTAUT model DOI
Kai Guo,

Chengyuan Zhan,

Xiang Li

et al.

International Journal of Systems Assurance Engineering and Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Festivals in Age of AI: Smarter Crowds, Happier Fans DOI Creative Commons
Jo�ão M. Lopes, Ilda Massano‐Cardoso,

Camila Granadeiro

et al.

Tourism and Hospitality, Journal Year: 2025, Volume and Issue: 6(1), P. 35 - 35

Published: Feb. 21, 2025

Artificial intelligence (AI) stands out as a transformative force in various sectors, offering both new opportunities and challenges. In tourism music events, AI has proven to be powerful tool for improving the attendee experience, personalizing artist recommendations, optimizing event logistics real time, enhancing audience interaction through virtual assistants immersive visual effects, thus highlighting its potential. This study aims analyze impact of applying experience consumers at festivals. particular, research examines on quality information delivered, extent consumer engagement with brands event, level trust technology. A quantitative methodology was used, collecting 400 responses from Portuguese who attended The results show that positively influence customer brand. Greater engagement, turn, increases willingness use solutions. Trust is significantly shaped by reliability system, which further promotes electronic word-of-mouth (eWOM) adopt AI. addition, eWOM plays key role encouraging technologies. Finally, memorable tourist experiences AI, underlining importance experiential factors promoting adoption. These highlight interconnected roles quality, trust, involvement, user shaping attitudes toward artificial applications. expands literature analyzing how AI-driven influences emphasizing need optimize these better festival strategies. It highlights link between positive eWOM, showing based high-quality enhances festival’s reputation attracts participants. contribution exploration adoption future festivals, offers insights boost credibility acceptance. Lastly, it provides strategic guidelines improve management.

Language: Английский

Citations

0

Sustainable Development through Fintech: Understanding the Adoption of Buy Now Pay Later (BNPL) Applications by Generation Z in Saudi Arabia DOI Open Access
Salma S. Abed, Rotana S. Alkadi

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6368 - 6368

Published: July 25, 2024

Sustainable development has emerged as a paramount priority globally, with the fintech services playing crucial role in achieving these goals. Although previous research explored consumer perceptions of novel services, including Buy Now Pay Later (BNPL) applications, there remains knowledge gap regarding factors influencing adoption among young consumers. This study addresses this limitation by investigating determinants BNPL app usage Saudi Arabian Generation Z consumers, integrating Unified Theory Acceptance and Use Technology DeLone McLean’s Information Systems Success model. A survey 380 consumers from was conducted, their responses were analyzed using structural equation modeling. The findings reveal that performance expectancy, effort social influence positively impact intention to continue apps. Furthermore, system quality, service information quality exhibit significant correlations satisfaction within IS study’s outcomes are expected inform developers designing effective apps engage digital-native provide policymakers insights enhance services. contributes significantly existing body on adoption, intentions, satisfaction.

Language: Английский

Citations

2

What Does it Take to Trigger Intention to Use Artificial Intelligence among Students in Higher Education Institutions? DOI Open Access
Zahir Osman,

Ratna Khuzaimah Mohamad,

Nadzurah Kasbun

et al.

International Journal of Academic Research in Business and Social Sciences, Journal Year: 2024, Volume and Issue: 14(7)

Published: July 17, 2024

The increasing integration of Artificial Intelligence (AI) in higher education institutions necessitates a student prepared for this transformative change. This study investigates the factors influencing students' intention to use AI tools their study. Drawing upon Technology Acceptance Model (TAM), research aims understand how perceived ease use, and usefulness impact with attitude, self-efficacy as mediators. Data collection employed survey instrument distributed sample 319 students from public private institutions. measured participants' perceptions usefulness, attitude towards AI, self-efficacy, Statistical analysis utilized Partial Least Squares (PLS) assess relationships between proposed variables test formulated hypotheses. results hypothesis testing confirmed positive influence on tools, aligning TAM principles. Furthermore, revealed that act mediating factors, bridging gap use. These findings suggest beyond just technical aspects perceptions, attitudes, confidence levels significantly willingness study's implications are significant organizations implementing AI. By prioritizing user-centered design emphasizing training skill development enhance communicating benefits address can foster more Additionally, promoting culture learning support boost student's ultimately encourage wider usage within organization.

Language: Английский

Citations

0