
IATSS Research, Journal Year: 2024, Volume and Issue: 48(4), P. 537 - 549
Published: Nov. 8, 2024
Language: Английский
IATSS Research, Journal Year: 2024, Volume and Issue: 48(4), P. 537 - 549
Published: Nov. 8, 2024
Language: Английский
Transportation research procedia, Journal Year: 2025, Volume and Issue: 82, P. 3729 - 3751
Published: Jan. 1, 2025
Language: Английский
Citations
1Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5341 - 5341
Published: Oct. 27, 2024
The rapid urbanization and technological advancements of the recent decades have increased need for efficient sustainable transportation solutions. This study examines acceptance smart systems (STSs) among residents in Polish cities explores impact these on energy-saving behaviors. Using extended Unified Theory Acceptance Use Technology (UTAUT2) model, which includes propensity to save energy, this research seeks understand determinants STS adoption. primary was conducted using Computer-Assisted Web Interviewing (CAWI). sample controlled gender place residence. A 471 individuals meeting criteria living a city with over 200,000 solutions Poland were selected from panel. SmartPLS 4 software used analyze collected data. findings reveal that energy significantly influences perceived usefulness, ease use, social influence, hedonic motivation toward STSs. Perceived usefulness use found be strong predictors intention STSs, while costs had negative it. also identified moderating role personal innovativeness mitigating cost concerns. These insights underscore importance emphasizing conservation benefits user-friendly features promoting concludes aligning innovations user motivations can enhance adoption solutions, contributing smarter more urban environments.
Language: Английский
Citations
5Cogent Education, Journal Year: 2024, Volume and Issue: 11(1)
Published: July 22, 2024
Artificial Intelligence (AI) influences many activities and aspects of daily life including the higher education environment. AI in has become vital for educators researchers. There is a rising debate regarding positive advantages how institutions adapt to changes learning perspectives students. Educators use implementation guide teachers, improve instructional systems, make administrative decisions that shape policy. The purpose this research investigate policymakers can utilize it aspect. A total 351 respondents participated an online survey, proposed hypotheses were evaluated using structural equation model (SEM-PLS). study revealed (1) users' attitudes toward adoption are positively influenced by performance expectancy effort expectancy, negatively perceived risk; (2) Facilitating Conditions exert influence on Effort Expectancy, but negative Behavioral Intention; (3) Users' have impact behavioral intention; (4) intention education. expected assist accelerating acceptance Moreover, still new needs be researched further academics its sector.
Language: Английский
Citations
3Cogent Psychology, Journal Year: 2025, Volume and Issue: 12(1)
Published: Feb. 11, 2025
To reduce the environmental impact of food production has spurred development digital tools to promote sustainable eating, yet little research examined psychosocial predictors their adoption. This study addresses this gap by applying Unified Theory Acceptance and Use Technology, including performance expectancy, effort social influence, facilitating conditions as technology use. enhance model's predictiveness, we included variables from Model Goal-Directed Behavior—attitude, anticipated emotions, desire— well sociodemographic factors. 511 participants completed an online survey in which they evaluated a customized app designed eating. Results showed that expectancy was strongest predictor attitude, intention, whereas not. Social influence predicted desire, turn thus led download. Facilitating emotions were more influencial for women, older higher desire despite high expectation, those with education levels downloaded due its perceived ease These findings suggest developers should focus on enhancing emotional appeal value while addressing users' diverse needs based gender, age, education.
Language: Английский
Citations
0Journal of Technology in Behavioral Science, Journal Year: 2025, Volume and Issue: unknown
Published: March 25, 2025
Language: Английский
Citations
0Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2025, Volume and Issue: 113, P. 158 - 173
Published: May 7, 2025
Language: Английский
Citations
0IATSS Research, Journal Year: 2024, Volume and Issue: 48(4), P. 537 - 549
Published: Nov. 8, 2024
Language: Английский
Citations
2