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A dynamic capability evaluation of emerging business models for new mobility

Cabanelas, Pablo; Parkhurst, Graham; Thomopoulos, Nikolas; Lampón, Jesús F.

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Pablo Cabanelas

Nikolas Thomopoulos

Jesús F. Lampón


The ‘new mobility’ is claimed to promise improved transport services with reduced socioeconomic and environmental impacts whilst at the same time creating high-value business opportunities. The present article contributes to understanding the latter part of this promise through analysing the sources of value creation in the new mobility industry. It makes a novel application of a business model concepts - the Dynamic Capabilities approach - to transport research. Drawing on findings from expert interviews with professionals in innovation clusters, the findings reveal that new mobility companies benefit from an inherent dynamism and a continuous learning culture. The participation in networks and alliances let companies reach broader market solutions through cross-regional collaboration. These ecosystems are well equipped to address wider mobility needs founded on managing data. For managers in the new mobility, key conclusions are that establishing a concise value proposition and expanding key resources such as staff skills or data management procedures are crucial for business sustainability.


Cabanelas, P., Parkhurst, G., Thomopoulos, N., & Lampón, J. F. (2023). A dynamic capability evaluation of emerging business models for new mobility. Research in Transportation Business and Management, 47, Article 100964.

Journal Article Type Article
Acceptance Date Feb 16, 2023
Online Publication Date Feb 27, 2023
Publication Date Mar 1, 2023
Deposit Date Mar 7, 2023
Publicly Available Date Mar 7, 2023
Journal Research in Transportation Business & Management
Print ISSN 2210-5395
Electronic ISSN 2210-5409
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 47
Article Number 100964
Keywords Management Science and Operations Research; Strategy and Management; Tourism, Leisure and Hospitality Management; Economics, Econometrics and Finance (miscellaneous); Transportation; Business and International Management; General Decision Sciences
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