Enhancing value in customer journey by considering the (ad) option of artificial intelligence tools

N Dhiman, M Jamwal, A Kumar - Journal of Business Research, 2023 - Elsevier
Artificial intelligence (AI) technologies are revolutionizing the customer journey remarkably.
Current research employs extended value-based adoption model (VAM) incorporating …

Factors that influence parents' intentions of using autonomous vehicles to transport children to and from school

P Jing, L Du, Y Chen, Y Shi, F Zhan, J Xie - Accident Analysis & Prevention, 2021 - Elsevier
High-level autonomous vehicles (AVs) are likely to improve the quality of children's travel to
and from school (such as improve travel safety and increase travel mobility). These expected …

Determinants and barriers of artificial intelligence adoption–A literature review

J Radhakrishnan, M Chattopadhyay - … on Transfer and Diffusion of IT, TDIT …, 2020 - Springer
Different theories, models and frameworks have been used to study technology adoption,
some explaining the determinants of adoption at the individual level, some at the …

Exploring the user acceptance of urban air mobility: extending the technology acceptance model with trust and service quality factors

YW Kim, C Lim, YG Ji - International Journal of Human–Computer …, 2023 - Taylor & Francis
The purpose of this study is to explore how trust in and the service quality of urban air
mobility (UAM) relate to the user acceptance of UAM. We hypothesized that trust directly …

Societal acceptance of urban air mobility based on the technology adoption framework

C Lee, B Bae, YL Lee, TY Pak - Technological Forecasting and Social …, 2023 - Elsevier
Urban air mobility (UAM) is regarded as a sustainable alternative for intercity and intracity
passenger transportation. The objective of this study is to identify the psychological and …

[HTML][HTML] What drives tourists to adopt self-driving cars?

M Jászberényi, M Miskolczi, A Munkácsy… - … research part F: traffic …, 2022 - Elsevier
Autonomous vehicles are expected to shape mobility and tourism. This paper introduces an
extension to the TAM to better understand the adoption of self-driving cars for tourism …

A machine learning based personalized system for driving state recognition

D Yi, J Su, C Liu, M Quddus, WH Chen - Transportation Research Part C …, 2019 - Elsevier
Reliable driving state recognition (eg normal, drowsy, and aggressive) plays a significant
role in improving road safety, driving experience and fuel efficiency. It lays the foundation for …

[HTML][HTML] Exploring the acceptance of connected and automated vehicles: focus group discussions with experts and non-experts in transport

A Duboz, A Mourtzouchou, M Grosso… - … research part F: traffic …, 2022 - Elsevier
The successful deployment of connected and automated vehicles (CAVs) will largely
depend on public opinion. Expectations and concerns are essential components driving the …

Modeling takeover behavior in level 3 automated driving via a structural equation model: Considering the mediating role of trust

M Jin, G Lu, F Chen, X Shi, H Tan, J Zhai - Accident Analysis & Prevention, 2021 - Elsevier
The takeover process in level 3 automated driving determines the controllability of the
functions of automated vehicles and thereby traffic safety. In this study, we attempted to …

[HTML][HTML] Sustainable crowdsourced delivery: A study of technological, health, value, and trust antecedents of consumer loyalty

KF Yuen, LY Koh, YQ Wong, X Wang - Journal of Cleaner Production, 2023 - Elsevier
Crowdsourced delivery has various advantages over conventional delivery methods,
including a decrease in emissions and road congestion. These benefits grow as consumer …