Study on initial adoption of advanced driver assistance system: integrated model of PMT and UTAUT 2

Jun, Jaehyeon; Park, Heejun; Cho, Insu

doi:10.1080/14783363.2019.1665820

Cited by 20 publications

(15 citation statements)

References 43 publications

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“…Moreover, several studies considered SEM for determining factors affecting human behavior. An integration of UTAUT2 and PMT was considered by Jun et al [48] regarding advanced driver assistance. In addition, Duarte and Pinho [49] considered SEM for evaluating mobile health adoption in Portugal.…”

Section: Structural Equation Modelingmentioning

confidence: 99%

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

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COVID-19 contact-tracing mobile applications have been some of the most important tools during the COVID-19 pandemic. One preventive measure that has been incorporated to help reduce the virus spread is the strict implementation of utilizing a COVID-19 tracing application, such as the MorChana mobile application of Thailand. This study aimed to evaluate the factors affecting the actual usage of the MorChana mobile application. Through the integration of Protection Motivation Theory (PMT) and Unified Theory of Acceptance and Use of Technology (UTAUT2), latent variables such as performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), habit (HB), perceived risk (PCR), self-efficacy (SEF), privacy (PR), trust (TR), and understanding COVID-19 (U) were considered to measure the intention to use MorChana (IU) and the actual usage (AU) of the mobile application. This study considered 907 anonymous participants who voluntarily answered an online self-administered survey collected via convenience sampling. The results show that IU presented the highest significant effect on AU, followed by HB, HM, PR, FC, U, SEF, PE, EE, TR, and SI. This is evident due to the strict implementation of using mobile applications upon entering any area of the vicinity. Moreover, PCR was not seen to be a significant latent factor affecting AU. This study is the first to have evaluated mobile contact tracing in Thailand. The integrated framework can be applied and extended to determine factors affecting COVID-19 tracing applications in other countries. Moreover, the findings of this study could be applied to other health-related mobile applications worldwide.

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Section: Structural Equation Modelingmentioning

confidence: 99%

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Yuduang

Ong

Prasetyo

et al. 2022

IJERPH

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“…adaptive cruise control), while other driving tasks are performed by the driver, which is driving assistance (or Level 1 system according to the SAE). Studies have considered the implications of acceptance for such ADAS features previously, where one paper found expected convenience to be a larger motivator for ADAS consumers than safety itself (Jun et al, 2019). Some car manufacturers can also achieve partial automation (L2) for example, Autopilot 2.0 launched by Tesla can complete both longitudinal and lateral driving control simultaneously under certain conditions.…”

Section: Introductionmentioning

confidence: 99%

Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework

Smyth

Chen

Donzella

et al. 2021

Transportation Research Part F: Traffic Psychology and Behaviou

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“…Te questions in the survey are based on the items used in Venkatesh et al [23], and hence designed with the intent to generate latent constructs in UTAUT2. Te questions are listed in Appendix A. Tese questions have been studied and tested in a range of diferent settings, establishing the validity of the questions used in the survey for constructing the latent variables (Nordhof et al [26]; Zheng and Gao [27]; Jun et al [28]); Tamilmani et al [29]). We, therefore, use only confrmatory factor analysis to determine which questions are to be included in the latent constructs.…”

Section: Methodological Approachmentioning

confidence: 99%

Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe

Skjeret¹,

Bjorvatn²,

Innamaa

et al. 2023

Journal of Advanced Transportation

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This study aims to investigate the willingness to pay for conditionally automated cars (CACs) among 8,084 respondents in seven European countries by segmenting potential buyers of CACs. Future deployment of CACs depends on a sufficient willingness to pay among a sufficient large part of the population. Latent profile analysis was employed to identify the variables with the highest loadings on the latent factor “willingness to pay,” based on latent constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. In addition, we analyzed which factors were associated with willingness to pay for different automated systems in CACs, i.e., for driving on urban roads, motorways, congested motorways, and parking areas. We find that a large share of respondents indicates a generally high willingness to pay for CACs, but classes with a high share of conservatives and young respondents have the lowest willingness to pay.

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Study on initial adoption of advanced driver assistance system: integrated model of PMT and UTAUT 2

Cited by 20 publications

References 43 publications

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application “MorChana” in Thailand: UTAUT2 Approach

Public acceptance of driver state monitoring for automated vehicles: Applying the UTAUT framework

Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe

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