Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services

The automotive industry is witnessing a major shift with the introduction of autonomous vehicles (AV) that offer improved road safety and urban mobility. However, the high cost of AV poses a challenge. Shared autonomous vehicles (SAV), particularly Robo-taxi services with ride-sharing capabilities,...

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Main Author:	Liew i, Ying We
Format:	Thesis
Language:	English
Published:	2023
Subjects:	TX1110 Recreational vehicle living
Online Access:	http://eprints.usm.my/60175/1/LIEW%20YING%20WEI%20-%20TESIS%20cut.pdf
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id	my-usm-ep.60175
record_format	uketd_dc
spelling	my-usm-ep.601752024-03-13T07:28:06Z Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services 2023-08 Liew i, Ying We TX1110 Recreational vehicle living The automotive industry is witnessing a major shift with the introduction of autonomous vehicles (AV) that offer improved road safety and urban mobility. However, the high cost of AV poses a challenge. Shared autonomous vehicles (SAV), particularly Robo-taxi services with ride-sharing capabilities, present a potential solution. While previous studies have explored factors influencing AV acceptance, little research focuses on ride-hailing users' cognitive perspectives on Artificially Intelligent (AI) based SAV in daily commutes. This study introduces the Robo-taxi Acceptance Model (RAM), integrating the Cognitive Appraisal Theory, the Artificially Intelligent Device Use Acceptance (AIDUA) model, and the Value-based Adoption Model (VAM). A survey was conducted in August 2022 with 344 respondents. The collected data was analysed using SmartPLS 4.0.8 and SPSS 27. The results indicated that perceived enjoyment, perceived policy support, relative advantage, trust, and social influence had positive effects, while perceived fee had a negative impact on perceived value. Relative advantage and self-efficacy positively influenced perceived usefulness, and trust negatively affected perceived risk. Perceived value significantly predicted emotion, and emotion influenced acceptance, even after accounting for the potential confounding effects of the control variables. These findings have practical implications for service providers and authorities in preparing for the adoption of AI-based Robo-taxi, providing insights into cognitive, affective, and psychological factors in service encounters. 2023-08 Thesis http://eprints.usm.my/60175/ http://eprints.usm.my/60175/1/LIEW%20YING%20WEI%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Siswazah Perniagaan
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TX1110 Recreational vehicle living
spellingShingle	TX1110 Recreational vehicle living Liew i, Ying We Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
description	The automotive industry is witnessing a major shift with the introduction of autonomous vehicles (AV) that offer improved road safety and urban mobility. However, the high cost of AV poses a challenge. Shared autonomous vehicles (SAV), particularly Robo-taxi services with ride-sharing capabilities, present a potential solution. While previous studies have explored factors influencing AV acceptance, little research focuses on ride-hailing users' cognitive perspectives on Artificially Intelligent (AI) based SAV in daily commutes. This study introduces the Robo-taxi Acceptance Model (RAM), integrating the Cognitive Appraisal Theory, the Artificially Intelligent Device Use Acceptance (AIDUA) model, and the Value-based Adoption Model (VAM). A survey was conducted in August 2022 with 344 respondents. The collected data was analysed using SmartPLS 4.0.8 and SPSS 27. The results indicated that perceived enjoyment, perceived policy support, relative advantage, trust, and social influence had positive effects, while perceived fee had a negative impact on perceived value. Relative advantage and self-efficacy positively influenced perceived usefulness, and trust negatively affected perceived risk. Perceived value significantly predicted emotion, and emotion influenced acceptance, even after accounting for the potential confounding effects of the control variables. These findings have practical implications for service providers and authorities in preparing for the adoption of AI-based Robo-taxi, providing insights into cognitive, affective, and psychological factors in service encounters.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Liew i, Ying We
author_facet	Liew i, Ying We
author_sort	Liew i, Ying We
title	Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
title_short	Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
title_full	Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
title_fullStr	Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
title_full_unstemmed	Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services
title_sort	understanding the acceptability of shared autonomous vehicle (sav) in ride-hailing services
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Siswazah Perniagaan
publishDate	2023
url	http://eprints.usm.my/60175/1/LIEW%20YING%20WEI%20-%20TESIS%20cut.pdf
_version_	1794024100218273792

Understanding The Acceptability Of Shared Autonomous Vehicle (Sav) In Ride-Hailing Services

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