Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 369, С. 122277 - 122277
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
13Sustainable Futures, Год журнала: 2024, Номер unknown, С. 100386 - 100386
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
6Energy, Год журнала: 2024, Номер 308, С. 132922 - 132922
Опубликована: Авг. 22, 2024
Язык: Английский
Процитировано
4Technology in Society, Год журнала: 2025, Номер unknown, С. 102902 - 102902
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 136503 - 136503
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2025, Номер 17(7), С. 3214 - 3214
Опубликована: Апрель 4, 2025
This study aims to determine the effects of variables within UTAUT 2 model on intention use a Fully Electric Car. In this context, data were collected through survey forms from 401 white-collar workers who are considered have higher economic status. Initially, validity and reliability analyses conducted scales used in Smart PLS program, subsequently, hypotheses interpreted using results obtained structural equation modeling. study, it was found that effort expectancy, social influence, perceived ease use, hedonic motivation, habit had positive significant impact electric vehicles. Performance expectancy has negative effect cars, while price no effect. It determined vehicles mediate relationship between actual usage behavior. research can offer contributions literature, particularly by examining influence behavioral motivation vehicle intention. By testing context acceptance, supports universality applicability various technologies. Emphasizing role such as acceptance adds new dimension model. Thus, makes an important contribution technology research.
Язык: Английский
Процитировано
0Energy, Год журнала: 2025, Номер unknown, С. 136230 - 136230
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Sustainability, Год журнала: 2024, Номер 16(19), С. 8467 - 8467
Опубликована: Сен. 29, 2024
Electric aircraft are seen as a key option for reducing the environmental footprint of aviation industry. This research aims to identify factors that influence Turkish air travellers’ intentions adopt electric by building upon theory planned behaviour (TPB). A structured online survey was developed gather cross-sectional data from 217 travellers using convenience sampling. The were analysed through multi-method approach, including structural equation modelling (SEM) sufficiency analysis and necessary condition (NCA) necessity analysis. findings reveal attitudes, subjective norms, perceived behavioural control, personal moral green trust positively correlate with intention aircraft, whereas risk has negative correlation. Moreover, NCA indicates knowledge, conditions reinforcing these results. study is first empirical attempt investigate formation built on both logics.
Язык: Английский
Процитировано
2Journal of Environmental Management, Год журнала: 2024, Номер 370, С. 122936 - 122936
Опубликована: Окт. 16, 2024
Язык: Английский
Процитировано
2Journal of risk and financial management, Год журнала: 2024, Номер 17(10), С. 470 - 470
Опубликована: Окт. 17, 2024
Financial institutions are currently undergoing a significant shift from traditional robo-advisors to more advanced generative artificial intelligence (GenAI) technologies. This transformation has motivated us investigate the factors influencing consumer responses GenAI-driven financial advice. Despite extensive research on adoption of robo-advisors, there is gap in our understanding specific contributors to, and differences in, attitudes reactions GenAI-based guidance. study aims address this by analyzing impact personalized investment suggestions, human-like empathy, continuous improvement GenAI-provided advice its authenticity as perceived consumers, their utilitarian attitude toward use GenAI for advice, GenAI-generated suggestions. A comprehensive model was developed based service-dominant logic (SDL) Artificial Intelligence Device Use Acceptance (AIDUA) frameworks. The subsequently employed structural equation modeling (SEM) analysis survey data 822 mobile banking users. findings indicate that GenAI’s recommendations positively influence consumers’ perception authenticity. Moreover, we discovered positive correlation between authenticity, which ultimately influences advisory solutions. manifested either willingness engage or resistance communication. contributes GenAI-powered services underscores significance integrating guidance into routine operations institutions. Our work builds upon previous offering practical insights seeking leverage technologies enhance customer experiences.
Язык: Английский
Процитировано
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