A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT

Kaye, Sherrie-Anne; Lewis, Ioni; Forward, Sonja; Delhomme, Patricia

doi:10.1016/j.aap.2020.105441

Cited by 97 publications

(37 citation statements)

References 26 publications

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“…Madigan et al (2017) surveyed Greek drivers and found that facilitating conditions had a significant effect on their intentions to use automated road transport systems. Similarly, Kaye et al (2020) found perceived behavioural control (capability and controllability) to be a significant predictor of intentions to use highly automated cars for participants residing in Australia and France. Both the AVAM and the CTAM conceptual frameworks propose that facilitating conditions will have a direct effect on the use behavior towards a self-driving vehicle.…”

Section: Facilitating Conditionsmentioning

confidence: 85%

“…(2018) both conclude that attitudes towards self-driving technology can significantly impact the adoption of self-driving vehicles. Finally, Kaye et al (2020) found that the attitude towards using conditionally automated cars was the strongest predictor of intentions to use conditionally automated cars. Based on prior research, and as shown in Figure 1, the following hypothesis is proposed: H6: Attitude Towards a Self-Driving Vehicle has a positive effect on Intention to Use a Self-Driving Vehicle.…”

Section: Attitude Towards a Self-driving Vehiclementioning

confidence: 94%

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An Integrated Approach for Predicting Consumer Acceptance of Self-Driving Vehicles in the United States

2021

JMDC

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Recent advances in automotive automation technology have made self-driving vehicles technically feasible.As automotive technology continues to evolve, self-driving vehicles are projected to be available for purchase within the United States by 2030. This study proposes and tests an integrated consumer adoption model in an effort to better understand factors that may influence a consumer's intention to use a selfdriving vehicle. An 18-item questionnaire was developed for this study. A survey was then conducted using Qualtrics (n = 1,050). Results show that facilitating conditions significantly impact both performance expectancy and effort expectancy of self-driving vehicles. The resulting performance expectancy and effort expectancy subsequently have a strong influence on attitude towards a self-driving vehicle. Attitude then directly impacts the intention to use a self-driving vehicle. Implications are discussed that should be beneficial to marketers of self-driving vehicles.

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Section: Facilitating Conditionsmentioning

confidence: 85%

Section: Attitude Towards a Self-driving Vehiclementioning

confidence: 94%

An Integrated Approach for Predicting Consumer Acceptance of Self-Driving Vehicles in the United States

2021

JMDC

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“…Khazaei and Khazaei [91] extended the UTUAT theory with the moderating effect of voluntariness of use and driving experience to examine consumer EV adoption factors. Kaye, et al [92] investigated the acceptance of automated cars with the help of UTAUT and the Theory of Planned Behavior. UTAUT was also extended with trust in safety towards the EV behavioral intention and was found to be significant [80].…”

Section: Unified Theory Of Acceptance and Use Of Technology (Utaut)mentioning

confidence: 99%

“…PE is defined as "the extent to which users believe that using this system will help them to use innovative technologies in voluntary situations" [33,88,92]. This construct has been driven by perceived usefulness described in TRA and TAM.…”

Section: Performance Expectancy (Pe)mentioning

confidence: 99%

Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles

et al. 2021

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The transport sector is the leading source of growing greenhouse gas (GHG) emissions globally. To consider environmental degradation aspects due to transport, electric vehicles (EVs) have the prospect to lead road transport to electric mobility from conventional petroleum vehicles. Despite various eco-friendly benefits, the EV market penetration ratio is very low, especially in developing countries. The primary reason for low penetration is consumer limited motivation and knowledge about the EVs features. This paper uses a unified theory of acceptance and technology (UTAUT) model to assess consumer motivation and environmental knowledge towards EVs. This research used convenience random sampling to collect data and analyzed the results using the Partial Least Squares (PLS) method on the example of 199 respondents from Malaysia. The study results revealed that factors identified in the motivational context significantly influence consumer intentions to purchase EVs. Perceived environmental knowledge and technophilia have been included in UTAUT from a motivational perspective. Furthermore, a significant relationship between effort expectancy, social influence, technophilia, perceived environmental knowledge, and purchase intention towards electric vehicles has been observed, without performance expectancy. The study findings serve to inform policymakers and automakers to formulate effective marketing strategies to enhance consumer motivation, knowledge, and value creation for EVs in a sustainable era. Ultimately, the policies will help to encourage consumers to buy eco-friendly vehicles that will help reduce transport carbon emissions and attain sustainable development goals (SDGs).

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“…However, introduction of AVs is connected with multiple challenges such as safety, legal liability, ethical questions and regulatory issues, which result in consumers’ fear towards this tech [ 16 – 18 ]. AVs also are a challenge to the traditional role of drivers and driving pleasure [ 19 ]. Even though the benefits of AVs seem to significantly outweigh the risks associated with them, consumer acceptance of this technology is still uncertain.…”

Section: Introductionmentioning

confidence: 99%

How different autonomous vehicle presentation influences its acceptance: Is a communal car better than agentic one?

Hryniewicz

Grzegorczyk

2020

PLoS ONE

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Public acceptance of autonomous vehicles (AVs) is still questionable. Nevertheless, it can be influenced by proper communication strategy. Therefore, our research focuses on (1) the type of information concerning AVs that consumers seek and (2) how to communicate this technology in order to increase its acceptance. In the first study (N = 711) topic modeling showed that the most sought for information concern the communion and the agency of AVs. In the second, experimental study (N = 303) we measured the participants' fear and goal-orientation in relation to AVs. Then, after the manipulation of the AV advertisement (imbued with communal vs agentic content), technology acceptance components (perceived ease of use, perceived usefulness and behavioral intention) were verified. The comparative analysis of the structural model estimates showed that the both participants' fear and goal-orientation in relation to AVs were associated much more with the acceptance components of the communal AV rather than the agentic one. Therefore, people want to know both whether AVs are communal and agentic, but they are more prone to accept a communal AV than agentic one.

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A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT

Cited by 97 publications

References 26 publications

An Integrated Approach for Predicting Consumer Acceptance of Self-Driving Vehicles in the United States

An Integrated Approach for Predicting Consumer Acceptance of Self-Driving Vehicles in the United States

Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles

How different autonomous vehicle presentation influences its acceptance: Is a communal car better than agentic one?

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