Assessing public a priori acceptance of fully automated vehicles using an extended technology acceptance model and importance-performance analysis DOI Creative Commons
Sina Rejali, Kayvan Aghabayk, Nirajan Shiwakoti

et al.

IATSS Research, Journal Year: 2024, Volume and Issue: 48(4), P. 537 - 549

Published: Nov. 8, 2024

Language: Английский

Cybersecurity Regulations for Automated Vehicles: A Conceptual Model Demonstrating the "Tragedy of the Commons" DOI Open Access
Shah Khalid Khan, Nirajan Shiwakoti, Peter Stasinopoulos

et al.

Transportation research procedia, Journal Year: 2025, Volume and Issue: 82, P. 3729 - 3751

Published: Jan. 1, 2025

Language: Английский

Citations

1

Encouraging Residents to Save Energy by Using Smart Transportation: Incorporating the Propensity to Save Energy into the UTAUT Model DOI Creative Commons
Bożena Gajdzik, Marcin Awdziej, Magdalena Jaciow

et al.

Energies, 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

5

Investigating the adoption of AI in higher education: a study of public universities in Indonesia DOI Creative Commons

Helmiatin,

Anto Hidayat,

Muhammad Ridwan Kahar

et al.

Cogent 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

3

Psychosocial predictors of downloading a mobile app promoting healthy and sustainable eating DOI Creative Commons
Italo Azzena, Sara Pompili, Simone Festa

et al.

Cogent 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

0

The Acceptance of m-health by Public Safety Officers in Brazil: A Multigroup SEM Study DOI
Luiz Philipi Calegari, Diego Castro Fettermann, Antonio Borriello

et al.

Journal of Technology in Behavioral Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Language: Английский

Citations

0

Unraveling Interrelationships and Moderators Influencing the Acceptance of Shared Autonomous Vehicles, an End Users' Perspective DOI Creative Commons
Mohammadhossein Abbasi,

Mahsa Aboutorabi Kashani,

Amir Reza Mamdoohi

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2025, Volume and Issue: 113, P. 158 - 173

Published: May 7, 2025

Language: Английский

Citations

0

Assessing public a priori acceptance of fully automated vehicles using an extended technology acceptance model and importance-performance analysis DOI Creative Commons
Sina Rejali, Kayvan Aghabayk, Nirajan Shiwakoti

et al.

IATSS Research, Journal Year: 2024, Volume and Issue: 48(4), P. 537 - 549

Published: Nov. 8, 2024

Language: Английский

Citations

2