The Autonomous Car, a Disruptive Business Model?

Attias, Danielle

doi:10.1007/978-3-319-45838-0_7

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…Driverless vehicles are currently being developed in a number of commercial and research projects worldwide [1,2]. Shuttles that function as shared transport systems are a promising business case [3]. Such shuttles may contribute to environmentally friendly mobility and tackle the inefficiencies of today's transport systems [4,5].…”

Section: Introductionmentioning

confidence: 99%

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

Nordhoff

Winter

Kyriakidis³

et al. 2018

Journal of Advanced Transportation

244

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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Section: Introductionmentioning

confidence: 99%

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

Nordhoff

Winter

Kyriakidis³

et al. 2018

Journal of Advanced Transportation

244

118

View full text Add to dashboard Cite

show abstract

“…Thus, AVs represent a potentially disruptive and beneficial change to the transportation system business model, since they will facilitate driving; increase road safety; reduce pollutants' emissions; reduce traffic jams; as well as allow drivers to choose to do different things other than driving. AVs will also improve mobility for those who cannot or do not want to drive and will provide significant economic, environmental and social benefits (Attias, 2016;Mutz et al, 2016).…”

Section: Autonomous Vehicles Overviewmentioning

confidence: 99%

“…The development of society is driving these changes, "these developments are being driven by both technology-push and demand-pull factors" (Enoch, 2015:p.922). In view of the digitization context, many industries are gradually being transformed, with AVs as the translation of the digitization of the automotive industry, including the arrival of new players such as Google and Uber (Attias, 2016).…”

Section: Transport Planningmentioning

confidence: 99%

“…The author believes that the AVs will be accelerated from this process, to a single autonomous universal service of higher quality and cheaper. Attias (2016) proposes that in a mediumterm perspective, this evolution will not stop in the AVs and opens the field for the design of similar technical objects (e.g. trucks, buses) and later boats and autonomous planes.…”

Section: Transport Planningmentioning

confidence: 99%

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Management and business of autonomous vehicles: a systematic integrative bibliographic review

Cavazza

Gandia

Antonialli

et al. 2019

IJATM

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This paper aims at characterizing the Autonomous Vehicles (AVs) research field in the areas of management and business in its bibliometric context; identifying strategies, practices and management tools specified in the scope of the investigated publications; summarizing existing evidence, pointing to gaps within this study area. Methodologically, the research is characterized as qualitative and descriptive, drawn by a bibliometric review on the databases; ISI Web of Science, Scopus and Science Direct, followed by a systematic integrative bibliographic review. All the titles and abstracts of the identified articles were analyzed allowing for a research refinement, adopting the exclusion criteria for; a) duplicates; b) not obtained references; and c) misaligned references. The main results pointed out that, in the near future AVs will certainly be inserted in our society, however the way in which this innovation might be established is still surrounded by uncertainties, impacting directly on governments' lack of planning for such arrival (Guerra, 2016). The absence of work related to the business area can be a driving factor, considering that business models plays an extremely important role in the events that precede the AVs' advancement (Yun et al., 2016). Nevertheless, among the analyzed papers, a studies' trend is highlighted, especially in European countries (e. g. U.K. and Germany), related to AVs' business model of "car-sharing" (Zakharenko, 2016; Geldmacher, 2016); presenting such as a great substitute for traditional transportation models (cars, taxis and buses) (Enoch, 2015). In this way, it was observed a study gap related to business models and platforms, radical and responsible innovation theories, in order to minimize the risks, impacts and uncertainties of the eminent arrival of AVs and provide the necessary tools to guide governmental and organizational spheres.

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“…CAVs will change the way the automotive industry functions and this will make necessary the establishment and adoption of a different business model approach. Car-makers will need to compete and collaborate with their new competitors, actors outside the traditional vehicle manufacturers, such as Google, Tesla, Uber, and impose new business models that fit the challenge of the driverless vehicle (Attias, 2017). These business models and their respective policy paths should be flexible and resilient to uncertainties as suggested by Lyons (2016), while their viability should be primarily evaluated based on the competitiveness of their cost structures (Bösch et al, 2018).…”

Section: Myth Eleven: Business Models For Cavs Have Been Establishedmentioning

confidence: 99%

Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm

Dani

Nikitas

Njoya

2019

IJATM

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Connected and autonomous vehicles (CAVs) could become the most powerful mobility intervention in the history of human race; possibly greater than the conception of the wheel itself or the shift from horse-carriages to automobiles. Despite CAVs' likely traffic safety, economic, environmental, social inclusion and network performance benefits their full-scale implementation may not be as predictable, uncomplicated, acceptable and risk-free as it is often communicated by a large share of automotive industries, policy-makers and transport experts. Framing an 'unproven', 'disruptive' and 'life-changing' intervention, primarily based on its competitive advantages over today's conventional automobile technologies, may create misconceptions, overreaching expectations and room for errors that societies need to be cautious about. This article 'tests' eleven myths referring to an overly optimistic CAVs' development and adoption timeline. This approach highlights unresolved issues that need to be addressed before an inescapable CAV-based mobility paradigm transition takes place and provides relevant policy recommendations of how to achieve that.

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The Autonomous Car, a Disruptive Business Model?

Cited by 10 publications

References 5 publications

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

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

Management and business of autonomous vehicles: a systematic integrative bibliographic review

Examining the myths of connected and autonomous vehicles: analysing the pathway to a driverless mobility paradigm

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