Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model

Madigan, Ruth; Louw, Tyron; Dziennus, Marc; Graindorge, Tatiana; Ortega, Erik; Graindorge, Matthieu; Merat, Natasha

doi:10.1016/j.trpro.2016.05.237

Cited by 236 publications

(198 citation statements)

References 11 publications

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“…This finding is consistent with the results in some previous studies (e.g. Madigan et al, 2016;Tarhini, El-Masri, Ali, and Serrano, 2016).…”

Section: Discussionsupporting

confidence: 94%

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Yang

Chen

2017

IJIKM

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Aim/PurposeThis study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. BackgroundThe Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members' re-use intentions becomes important for firms. MethodologyThrough an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. ContributionThis study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for PractitionersThis study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Re-usage Intentions of Virtual Communities 18 Recommendation for ResearchersFuture researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

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“…This finding is consistent with the results in some previous studies (e.g. Madigan et al, 2016;Tarhini, El-Masri, Ali, and Serrano, 2016).…”

Section: Discussionsupporting

confidence: 94%

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Yang

Chen

2017

IJIKM

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“…Two types of shared mobility services based on AVs are considered to replace individual car use providing occasionally a door-to-door but mostly a feeder service: shared minivan with 8 seats and shared minibus with 16 seats [19]. In other studies, small capacity autonomous pods are considered also as a feeder service [10], [12]. Furthermore, autonomous cars may provide last-mile service with or without seat capacity sharing [11].…”

Section: Methodsmentioning

confidence: 99%

“…User's acceptability towards services based on AVs has been analyzed by several surveys. Acceptability is predominantly influenced by the perceived usefulness, effort expectancy, ease of use and social influence [10]. There is a strong correlation between individual's modal split and willingness to choose a shared service based on an AV [11].…”

Section: State Of the Artmentioning

confidence: 99%

Framework for planning the mobility service based on autonomous vehicles

Földes

Csiszár

2018

2018 Smart City Symposium Prague (SCSP)

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Abstract-Autonomous vehicles (AVs) facilitate alteration in the passenger transportation. Shared, demand-driven mobility services based on small-capacity AVs emerge in urban areas. In order to provide highly personalized services and to enhance the acceptance of AVs, the user expectations are to be revealed. The research question is what kind of information is needed to plan various service types with the consideration of user expectations and operational constraints. Accordingly, the planning functions, as well as their input and output data have been identified. Then, the connections between the functions have been explored. In order to provide input data for planning functions, we have elaborated a data collection method applying a questionnaire survey with stated preferences. Based on the survey data correlations could be revealed between socio-demographic characteristics or mobility habits and expected mobility service attributes. The results can be used as a framework for planning mobility services based on AVs.

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“…Several researchers [22][23][24] have studied the role of personality-related attitudes as predictors of acceptance. For example, Bansal et al [13] found that technology-savvy individuals were more positive towards automated vehicles, which is in agreement with Zmud and Sener [24] who found that individuals with a higher intent to use automated vehicles were the ones using smartphones, text messaging, Facebook, and transportation apps, and with Lavieri et al [25] who found that tech-savvy individuals are likely to be early adopters of automated vehicles.…”

Section: Individual Predictors Of Acceptancementioning

confidence: 99%

Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study

Nordhoff

Winter

Kyriakidis³

et al. 2018

Journal of Advanced Transportation

239

118

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Shuttles that operate without an onboard driver are currently being developed and tested in various projects worldwide. However, there is a paucity of knowledge on the determinants of acceptance of driverless shuttles in large cross-national samples. In the present study, we surveyed 10,000 respondents on the acceptance of driverless vehicles and sociodemographic characteristics, using a 94item online questionnaire. After data filtering, data of 7,755 respondents from 116 countries were retained. Respondents reported that they would enjoy taking a ride in a driverless vehicle (mean = 4.90 on a scale from 1 = disagree strongly to 6 = agree strongly). We further found that the scores on the questionnaire items were most appropriately explained through a general acceptance component, which had loadings of about 0.7 for items pertaining to the usefulness of driverless vehicles and loadings between 0.5 and 0.6 for items concerning the intention to use, ease of use, pleasure, and trust in driverless vehicles, as well as knowledge of mobility-related developments. Additional components were identified as thrill seeking, wanting to be in control manually, supporting a car-free environment, and being comfortable with technology. Correlations between sociodemographic characteristics and general acceptance scores were small (<0.20), yet interpretable (e.g., people who reported difficulty with finding a parking space were more accepting towards driverless vehicles). Finally, we found that the GDP per capita of the respondents' country was predictive of countries' mean general acceptance score ( = −0.48 across 43 countries with 25 or more respondents). In conclusion, self-reported acceptance of driverless vehicles is more strongly determined by domain-specific attitudes than by sociodemographic characteristics. We recommend further research, using objective measures, into the hypothesis that national characteristics are a predictor of the acceptance of driverless vehicles.

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Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model

Cited by 236 publications

References 11 publications

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

Framework for planning the mobility service based on autonomous vehicles

Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study

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