Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM)

Sarwar, Dilshad; Chrysoulas, Christos; Banissi, Ebad; Ubakanma, George

doi:10.1007/978-3-030-45688-7_51

Cited by 11 publications

(11 citation statements)

References 6 publications

(8 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1985). Many researchers found that behavioural intentions have a significant influence on the user adoption intention of a new technology (Seuwou P et al (2020), Jin-Soo Lee et al ( 2010), (Patel, 2021). In this paper behavioural intention refers to how a person feels to having a crypto in his portfolio.…”

Section: E Behavioural Intentionsmentioning

confidence: 97%

Perception of investing in crypto in India using UTAUT model

Shah¹

2021

IJRASET

View full text Add to dashboard Cite

This research was conducted to gather data and understand the perception what the Indian population holds when it comes to investing in cryptocurrency. To do so, a survey was designed using the UTAUT model and was circulated by the means of google forms. A wide range of parameters were considered to avail the maximum possible accuracy for the data collected. Parameters like, the ease of investing crypto, short term and long term benefits, monetary benefits, social benefits were considered. All of these parameters were supposed to be answered on a scale of 5. After collecting all the data, the results were analyzed and evaluated using which the hypothesis made were proved. Keywords: Cryptocurrency, UTAUT, performance expectancy, effort expectancy, perceived monetary benefits, perceived safety, social influence, adoption intension.

show abstract

Section: E Behavioural Intentionsmentioning

confidence: 97%

Perception of investing in crypto in India using UTAUT model

Shah¹

2021

IJRASET

View full text Add to dashboard Cite

show abstract

“…Support refers to "the degree of support provided by the organization and policy environment for the digital adoption". Previous research has shown that support from the organization, government, and legislation can positively impact employees' perceived usefulness and perceived ease of use of digital technology [73,74]. Furthermore, support plays a crucial role in determining users' intention to use technology [75].…”

Section: Internal Factorsmentioning

confidence: 99%

What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors

Qiu,

Wang,

Hou

et al. 2023

Sustainability

View full text Add to dashboard Cite

Given the potential of digital technologies in value-adding and decision support in infrastructure projects, the promotion of digital technologies, how factors of government promotion, technological development, and the organization’s technology capability and capacity influence digital technology adoption is necessary but still unclear. This research aims to identify the environmental, technological, and organizational factors, as well as the interactive relationships among them, for infrastructure participants’ intention to adopt digital technologies. The extended Technology Acceptance Model (e-TAM) was used as a theoretical base to develop a hypothesis of the influencing paths of internal and external factors, with perceived usefulness (PU), perceived ease of use (PEU), and perceived image improvement (PII) as critical internal factors, and technological and environmental factors as external factors. The questionnaire survey collected 172 valid responses and structural equation modeling was applied for the hypothesis testing. The model fitting results indicated that intentions of digital adoption are directly influenced by PU as internal factors and environmental factors, while PEU, PII, and technological factors play indirect roles. As the interaction of external and internal factors, environmental factors directly affect PEU, and technological factors significantly correlate with PU. The findings supported most of the hypothesis and contributed to providing guidance for infrastructure participants’ digital adoption practice.

show abstract

“…Now those rules may begin to change [31]. In this scenario, it is difficult to identify who to blame [38]. Is it the car owner, or the AV manufacturer?…”

Section: Legal Implicationsmentioning

confidence: 99%

“…These AVs also learn from their mistakes and improve their accuracy faster than any probable human driver. Today, it is recognised that more than 50% of innovations in vehicles are on electronic components [38]. Most cars are now equipped with some level of automation to assist drivers when parking their vehicles or following other vehicles.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Factors Influencing Consumers’ Behaviour Towards Autonomous Vehicles Adoption

Sarwar

2021

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

In this study, the key determinants or factors influencing consumers' behavioural intention to accept autonomous vehicles (AVs) have been explored and tested. Although, there is a plethora of studies in the literature evaluating various technologies, most of the models of technology acceptance and theories selected are applied on barriers of successful IT implementation in organisations or generally on technologies that have long been deployed. There are very few studies conducted on disruptive technologies such as AV. In this paper, this issue has been addressed with the identification of context-related constructs partly retrieved from existing literature, that describe a modelling process for a technology acceptance attempting to explain the main factors influencing people behavioural intention to adopt autonomous vehicle technology. Constructs such as trust, self-efficacy, anxiety, perceived safety and legal regulation have been considered. The main contribution of the study is the detailed exploration on the users' acceptance of AV. We propose a theoretical model called Autonomous Vehicle Technology Acceptance Model (AVTAM) that gives us a better understanding of what will eventually influence future AV customers. The main findings of this work suggest that users' safety on the road, the cost associated to the technology and the trust on car manufacturers will play a very important role for large scale AV adoption.

show abstract

Measuring Consumer Behavioural Intention to Accept Technology: Towards Autonomous Vehicles Technology Acceptance Model (AVTAM)

Cited by 11 publications

References 6 publications

Perception of investing in crypto in India using UTAUT model

Perception of investing in crypto in India using UTAUT model

What Drives Infrastructure Participants to Adopt Digital Technology: A Nexus of Internal and External Factors

Understanding the Factors Influencing Consumers’ Behaviour Towards Autonomous Vehicles Adoption

Contact Info

Product

Resources

About