Antecedent variables of intentions to use an autonomous shuttle: Moving beyond TAM and TPB?

Moták, Ladislav; Neuville, Emmanuelle; Chambres, Patrick; Marmoiton, F.; Ferdinand, Monéger; Coutarel, Fabien; Izaute, Marie

doi:10.1016/j.erap.2017.06.001

Cited by 97 publications

(59 citation statements)

References 75 publications

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“…UTAUT2, which follows from UTAUT1, suggests that an individual's behavioral intention to use information technology is influenced by three additional constructs in addition to the original UTAUT, i.e., hedonic motivation, price value and habit 4 (Venkatesh, Thong, and Xu 2012, 161). The suitability of the UTAUT1/2 to predict the acceptance of ADS-DVs has been supported by Leicht et al (2018), Kaur and Rampersad (2018), Moták et al (2017), Zhang et al (2019) and Zmud and Sener (2017) who revealed that performance expectancy (or its equivalent 'perceived usefulness') was significantly associated with the intention to use AVs. In , performance expectancy and effort expectancy measuring the component 'shuttle effectiveness' , which pertained to the performance of L4 ADS-DVs in comparison with respondents' existing travel, significantly correlated with the component 'intention to use' , which corresponds with the UTAUT construct 'behavioral intention' .…”

Section: Exposure To Avs: Knowledge and Experiencementioning

confidence: 95%

“…Instead, they mainly investigate the influence of AVA factors in isolation, and through the lenses of technology acceptance (Hewitt et al 2019;Kaur and Rampersad 2018;Leicht Chtourou, and Youssef 2018;Madigan et al 2016;Madigan et al 2017;Wu et al 2019;Zhang et al 2019;Zmud and Sener 2017). The AVA factors identified by these studies encompass (1) individual characteristics (e.g., socio-demographics and differences in one's own personality; Alessandrini et al 2014;Haboucha et al 2017;Lavieri et al 2017; TNS Opinion and Social 2015), (2) instrumental domain-specific (e.g., performance and effort expectancy, physical vehicle and service characteristics; , (3) symbolic-affective (e.g., social influence and hedonic motivation; Bansal and Kockelman 2018;Madigan et al 2016), and (4) moral-normative factors of AVA (i.e., risk and benefit perception of AVs; Daziano, Sarrias, and Leard, 2017;Kyriakidis, Happee, and De Winter 2015;Moták et al 2017;Tennant et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Nordhoff

Kyriakidis

Arem

et al. 2019

Theoretical Issues in Ergonomics Science

153

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Automated vehicle acceptance (AVA) is a necessary condition for the realisation of higher-level objectives such as improvements in road safety, reductions in traffic congestion and environmental pollution. On the basis of a systematic literature review of 124 empirical studies, the present study proposes MAVA, a multi-level model to predict AVA. It incorporates a process-oriented view on AVA, considering acceptance as the result of a four-stage decision-making process that ranges from the exposure of the individual to automated vehicles (AVs) in Stage 1, the formation of favourable or unfavourable attitudes towards AVs in Stage 2, making the decision to adopt or reject AVs in Stage 3, to the implementation of AVs into practice in Stage 4. MAVA incorporates 28 acceptance factors that represent seven main acceptance classes. The acceptance factors are located at two levels, i.e., micro and meso. Factors at the micro-level constitute individual difference factors (i.e., sociodemographics, personality and travel behaviour). The meso-level captures the exposure of individuals to AVs, instrumental domain-specific, symbolic-affective and moral-normative factors of AVA. The literature review revealed that 6% of the studies investigated the exposure of individuals to AVs (i.e., knowledge and experience). 22% of the studies investigated domain-specific factors (i.e., performance and effort expectancy, safety, facilitating conditions, and service and vehicle characteristics), 4% symbolic-affective factors (i.e., hedonic motivation and social influence), and 12% moral-normative factors (i.e., perceived benefits and risks). Factors related to a person's socio-demographic profile, travel behaviour and personality were investigated by 28%, 15% and 14% of the studies, respectively. We recommend that future studies empirically verify MAVA using longitudinal or experimental studies.

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Section: Exposure To Avs: Knowledge and Experiencementioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Nordhoff

Kyriakidis

Arem

et al. 2019

Theoretical Issues in Ergonomics Science

153

View full text Add to dashboard Cite

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“…(Internet experience and enjoyment) forms: perceived ease of use Chang and Rizal (2010) Taiwan Perceived ease of use, perceived usefulness, personal involvement Amin (2009) Malaysia Perceived ease of use, perceived usefulness, perceived credibility, perceived enjoyment and social norm Hua (2009) China Perceived ease of use, privacy, security Celik (2008) Turkey Perceived risk, perceived playfulness, perceived usefulness and perceived ease of use Sohail and Shaikh (2008) KSA Efficiency and security, fulfillment and responsiveness Zolait and Sulaiman (2008) Yemen Relative advantage, compatibility and ease of use Lallmahamood (2007) Malaysia Security and privacy Guriting and Ndubisi (2006) Malaysia Perceived ease of use, perceived usefulness, computer self-efficacy, prior computing experience Kassim and Abdullah (2006) Qatar Ease of use, trust, secure and private who stressing the need to adjust and extend acceptability models to suit the relevant technology (Chen, 2016;Dishaw and Strong, 1999;Kim et al, 2010;Lancelot Miltgen et al, 2013;Moták et al, 2017;Venkatesh et al, 2003;Yousafzai et al, 2010). This adjustment and extension is proposed to identify as broadly as possiblebut still on a sound theoretical basisthe factors capable of predicting the acceptability of new technology, in particular an e-banking.…”

Section: Theoretical Model and Hypothesis Developmentmentioning

confidence: 99%

Factors affecting intention to use e-banking in Jordan

Anouze

Alamro

2019

IJBM

127

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Purpose -Despite the wide availability of internet banking, levels of intention to use such facilities remain variable between countries. The purpose of this paper is to focus on e-banking in a country with low intention to use e-banking -Jordanand to explain the slow uptake. Design/methodology/approach -A quantitative method employing a cross-sectional survey was used as an appropriate way of meeting the research objectives. The survey was distributed to bank customers in Amman, Jordan, collecting a total of 328 completed questionnaires. SPSS and AMOS software were used, and multiple regression and artificial neural networks were applied to determine the relative impact and importance of e-banking predictors. Findings -The statistical techniques revealed that several major factors, including perceived ease of use, perceived usefulness, security and reasonable price, stand out as the barriers to intention to use e-banking services in Jordan.Originality/value -This study theorizes a series of implications on intention to use e-banking. It draws the attention of Jordanian banks to the full functionality of their e-banking systems, emphasizing positive safety features, which could contribute to changing negative customer perceptions. It also contributes to eliciting the theory of customer value among banks by focusing on how they should properly enhance their use of shared value. Moreover, it will present to managers how e-banking predictors can send meaningful and timely information to customers.

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“…Half of the studies (7 of 14) can be found in journals and the other half (7) were published in conference proceedings. Almost all of these studies (12 of 14) were from Europe [22,[24][25][26][27][28][30][31][32][33][34][35]. Only one study focused on the United States [23], and another considered both the United States and India [29].…”

Section: Eme #2mentioning

confidence: 99%

“…In terms of service and operational characteristics, one common concern was security of autonomous buses; however, having an onboard attendant generally improved responses [23,26]. Finally, the perceived usefulness of autonomous buses was cited in numerous studies as an important factor influencing acceptance [32,35].…”

Section: Eme #2mentioning

confidence: 99%

Fully Autonomous Buses: A Literature Review and Future Research Directions

Azad

Hoseinzadeh

Brakewood

et al. 2019

Journal of Advanced Transportation

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Autonomous vehicles (AVs) represent a new, growing segment of transportation research. While there have been prior studies and deployments of AVs worldwide, full autonomy in bus transit has gained interest among researchers and practitioners within the last decade, which presents an opportunity to synthesize early trends. Therefore, the objective of this paper is to provide a review of the latest research on fully autonomous buses to summarize findings and identify gaps needing future research. Forty studies were reviewed in detail, and five main themes were identified, which are (1) technology deployment; (2) user acceptance; (3) safety; (4) social and economic aspects; and (5) regulations, policies, and legal issues. The results reveal that most prior studies have focused on technology development, and the area of regulation and policy would benefit from additional study. Noteworthy differences between research in Europe and the United States were also identified. In Europe, large funded projects involving real-world deployments have focused on user acceptance, security and safety, costs, and related legal issues, whereas in the United States, research has primarily concentrated on simulation modelling with limited real-world deployments. The results of this review are important for policy-makers and researchers as AV technology continues to evolve and become more widely available.

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Antecedent variables of intentions to use an autonomous shuttle: Moving beyond TAM and TPB?

Cited by 97 publications

References 75 publications

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

A multi-level model on automated vehicle acceptance (MAVA): a review-based study

Factors affecting intention to use e-banking in Jordan

Fully Autonomous Buses: A Literature Review and Future Research Directions

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