Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104107 - 104107
Published: Oct. 9, 2024
Language: Английский
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104107 - 104107
Published: Oct. 9, 2024
Language: Английский
International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)
Published: July 30, 2024
Abstract As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, significant importance, particularly education. This study investigates awareness, acceptance, and adoption a state-of-the-art developed higher education institutions across China. applies partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants Technology Acceptance Model (TAM) extends it incorporating perceived as critical factor process. findings reveal that ChatGPT awareness significantly influences intention adopt ChatGPT. Perceived ease use, usefulness, mediate association between Additionally, trust moderates relationship intelligence. Moving forward, order maintain students’ thinking skills inventiveness their assessment writing, assessments must promote safe use Therefore, educators will be crucial ensuring are used ethically suitably providing clear guidelines instructions.
Language: Английский
Citations
27Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 24, 2024
Language: Английский
Citations
17Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104234 - 104234
Published: Jan. 17, 2025
Language: Английский
Citations
2Cogent Business & Management, Journal Year: 2024, Volume and Issue: 11(1)
Published: July 8, 2024
Over recent years, economic development and environmental degradation have become major challenges that pressurize organizations to adopt a green innovation culture. Therefore, human resource management (GHRM) practices are necessary improve sustainable performance in healthcare functioning Pakistan. This study literature on GHRM with supports an environment-friendly atmosphere the business world achieve performance. At same time, managing risk remains limited health sector. present intends identify execution of through organizations. Additionally, this evaluates moderating effect among toward scrutinizes following relationships from sample 400 respondents Pakistan's government non-government hospitals. The partial least structure equation modeling method (PLS-SEM) is implemented measure structural framework Results showed positively affect innovation. significantly moderates relationship between towards However, eco-friendly environment meaningful directions for top managers policy-makers develop culture mitigate boost
Language: Английский
Citations
15Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: July 13, 2024
Abstract The context of education has changed due to revolutionary developments in the information communication technology (ICT) industry post-COVID era. Innovative learning methods were introduced sector promote quality education. students find it more convenient use ICT tools integrate their knowledge-seeking. China recently paid attention developing and adopting electronic infrastructure. study assesses effect self-efficacy (TSE) on acceptance implementation China’s sector. It also analyzed role perceived trust, security, word mouth (eWOM) integrating digital sharing interaction tools. Data is collected from 382 business at Chinese universities. results revealed that trust mediates relationship between TSE actual tools, intention for information, interaction. Further, security eWOM significantly moderate trust. findings indicate essential offer assistance instruction educational so they can frequently. crucial organizations establish a supportive culture provide necessary technological resources facilitate ICT.
Language: Английский
Citations
9International Journal of Hospitality Management, Journal Year: 2024, Volume and Issue: 123, P. 103910 - 103910
Published: Sept. 6, 2024
Language: Английский
Citations
9Tourism Review, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 22, 2025
Purpose This study uses the pleasure–arousal–dominance (PAD) theory to explore how users’ emotional engagement with ChatGPT drives their continued adoption of and word-of-mouth (WOM) behaviour in context travel-related service. Design/methodology/approach obtained reliable data from 428 Chinese respondents who used for purposes. Structural equation modelling was test a series hypotheses based on PAD framework. Findings identifies three key features human–artificial intelligence (AI) interaction, namely, service ubiquity, entertainment anthropomorphism, which significantly influence responses, including pleasure, arousal dominance. Dominance pleasure are found enhance experiences, driving positive WOM recommendations ChatGPT, whereas influences but does not affect adoption. The results also confirm that perceived interacting has strongest effect. These findings advance theoretical understanding by clarifying mechanisms underlying human–AI interactions tourism context. Originality/value examines emerging trend tourists’ continuous services. highlight different emotions interaction long-term use AI-powered tool
Language: Английский
Citations
1Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 46 - 46
Published: March 10, 2025
Internet platforms and self-media have become vital online communities for promoting positive reputations hotels. Previous studies primarily focused on enhancing electronic word-of-mouth (eWOM) through improvements in hotel infrastructure staff services. As hotels deepen their digital transformation, the application of various artificial intelligence technologies service encounters significantly impacts experience. This study explores effects voice assistant (VA) attributes reputation Specifically, it examines how VAs (anytime connectivity, information association, interactivity) influence customer evaluations Utilizing a questionnaire survey method, we collected 529 valid questionnaires offline employed structural equation modeling along with PROCESS plugin SPSS to conduct path analysis, as well mediation moderation effect analyses. The results indicate that perceived value existence human–AI rapport mediate impact VA eWOM, although direct some (information association) was not supported. Furthermore, anytime connectivity enhances social presence, while privacy concerns negatively affect relationship between intentions engage eWOM. These insights are critical seeking maximize benefits transformation.
Language: Английский
Citations
1Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104085 - 104085
Published: Sept. 16, 2024
Language: Английский
Citations
6Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104028 - 104028
Published: Aug. 3, 2024
Language: Английский
Citations
5