Empirical Study on the Acceptance of Mobility as a Service (MaaS) Based on the UTAUT2 Model

Toyama, Masaki

doi:10.53728/2765-6500.1593

Cited by 4 publications

(2 citation statements)

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“…For example, in the work of Kamargianni and Goulding (2018), they construct a MaaS index for the city's readiness and include citizen familiarity and willingness as a factor. The price factor mentioned by I10 is also an important aspect, as the results of Toyama (2022) show that the price value significantly impacts the intention to use MaaS.…”

Section: Discussion Of Cross-case Actor-network Barriersmentioning

confidence: 99%

“…Social and Cultural (SD) describes social and cultural barriers in the MaaS business ecosystem (Alyavina et al, 2022;Toyama, 2022). It consists of six subthemes (SD1) acceptance of users, travel behaviour and lack of user trust, (SD2) competition, losing monopoly position, control and influence, (SD3) difficulties for users related to technologies, (SD4) missing collaboration, (SD5) missing leadership and vision and (SD6) skills and knowledge gaps.…”

Section: Identified Barriers In the Maas Business Ecosystemmentioning

confidence: 99%

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Analysing Barriers in the Business Ecosystem of European MaaS Providers: An Actor-Network Approach

Gebhart,

Schlick,

Marvell

EPiC Series in Computing

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As new Mobility as a Service (MaaS) platforms are being established in Europe, researchers and practitioners seek evidence on the barriers experienced by the MaaS providers in their evolving business ecosystem. This paper conceptualises the MaaS business ecosystem using a Systematic Literature Review (SLR) combined with Actor- Network Theory (ANT) by constructing an actor-network of key actors. This actor- network, along with the identified MaaS business ecosystem barriers, is then used for Multiple Case Study Research, interviewing 18 European MaaS experts. The cross-case analysis revealed how MaaS providers problematise, interest, enrol and mobilise their business ecosystems. Furthermore, the paper outlines and amends key barriers in the areas of (1) technology and data, (2) social and cultural, and (3) policy and regulation. Researchers and practitioners can use the findings of this study to formulate policies, create best practices or conduct further research on the development of MaaS.

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Section: Discussion Of Cross-case Actor-network Barriersmentioning

confidence: 99%

Section: Identified Barriers In the Maas Business Ecosystemmentioning

confidence: 99%