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2024
Journal Article
Title

Clarifying new urban mobility services based on a threefold business model framework

Abstract
Market entrants have brought a variety of new urban mobility services over the past years, which are rooted in the sharing economy and have their origin in digitalization. Digital data serve as key resource of a business model and, accordingly, digital technologies are the basis of key activities. Building our analysis on the resource-based view and on the business model debate, we ask: what degrees of digitalization do urban mobility service business models exhibit? We perform a systematic literature review and a qualitative content analysis. As a result, we identify a continuum of highly and lowly digitalized business models. We derive a threefold business model framework, substantiated in conventional mobility, hybrid, and data-driven business models. (1) Conventional mobility business models are dominated by mobility as a key resource, digitalization is low and performed by key partners, (2) hybrid models contain both conventional mobility and data-driven key resources, and (3) data-driven models take digital data as key resources, while conventional mobility is carried out by key partners. As a first main contribution, we conceptualize conventional versus purely data-driven business models along the continuum of data-driven business model components. New urban mobility services are the group of both hybrid and data-driven business models, while conventional urban mobility stands on its own. As a second contribution, we clarify the Mobility-as-a-Service (MaaS) concept by corroborating it as a purely data-driven business model with key partners provisioning mobility
Author(s)
Metzger, Frederik M.  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Krauß, Konstantin  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Journal
Transportation research interdisciplinary perspectives  
Open Access
File(s)
Download (1.23 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1016/j.trip.2024.101207
10.24406/publica-3624
Additional full text version
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Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Business model

  • Business model innovation

  • Urban mobility

  • MaaS

  • Data-driven

  • Conventional mobility

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