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Business Models for Mobility Data Sharing Platforms: Stakeholders’ Perceptions

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Information Systems (EMCIS 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 502))

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Abstract

Potential economic benefits of data sharing have been estimated and described in many reports and research. However, data sharing initiatives are limited by a lack of alignment on the business models for data sharing among stakeholders. In this research we aim specifically to investigate the perceptions of the stakeholders of such data sharing platforms on business models for data sharing to identify ways to foster alignment on business models. In our qualitative exploratory analysis (interviews and focus groups with stakeholders involved in a EU-funded project, MobiDataLab) we identify 6 criteria used by the stakeholders to compare business models and rank 5 archetypal business models according to them. We conclude with insights useful for business model design for mobility data sharing platforms and possible future research.

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Acknowledgements

This work was supported by MobiDataLab project co-funded by the European Commission, Horizon 2020, under grant agreement No. 101006879 (Research Innovation Action).

Author information

Authors and Affiliations

  1. ESCP Business School, Paris, France

    Louis-David Benyayer

  2. ESCP Business School, Berlin, Germany

    Markus Bick

Authors
  1. Louis-David Benyayer
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Corresponding author

Correspondence to Louis-David Benyayer .

Editor information

Editors and Affiliations

  1. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

  2. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  3. British University in Dubai, Dubai, United Arab Emirates

    Khalid Al Marri

  4. Dubai Blockchain Center, Dubai, United Arab Emirates

    Marwan Al Zarouni

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Benyayer, LD., Bick, M. (2024). Business Models for Mobility Data Sharing Platforms: Stakeholders’ Perceptions. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 502. Springer, Cham. https://doi.org/10.1007/978-3-031-56481-9_7

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  • DOI: https://doi.org/10.1007/978-3-031-56481-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56480-2

  • Online ISBN: 978-3-031-56481-9

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