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What about Data-Driven Business Models? Mapping the Literature and Scoping Future Avenues

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  • Maria Vincenza Ciasullo
  • Raffaella Montera
  • Emilia Romeo

Abstract

The paper aims to perform an assessment of the literature at the intersection of data and business models, examining the extent to which the data-driven business model (DDBM) is considered in the current literature and how it is characterised in terms of approaches, benefits and barriers. A systematic literature review (SRL) of the available body of knowledge on these topics was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach. The SRL reveals limited but rapidly growing coverage of the cutting-edge phenomenon on the part of scientific studies. In problematising the extant literature, competitive, cultural and strategic approaches are proposed together with the relative enablers fostering the adoption of each approach. Benefits and barriers to the implementation of a DDBM are also discussed across technical, organisational and financial dimensions. The insights derived from a critical review of the DDBM literature point out gaps, which may itself inform future research and theory development in this area, as well as support practitioners’ decision-making on the datatisation of business models.

Suggested Citation

  • Maria Vincenza Ciasullo & Raffaella Montera & Emilia Romeo, 2023. "What about Data-Driven Business Models? Mapping the Literature and Scoping Future Avenues," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(8), pages 1-1, February.
    • Handle: RePEc:ibn:ijbmjn:v:16:y:2023:i:8:p:1
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    References listed on IDEAS

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    2. Gimpel, Gregory, 2020. "Bringing dark data into the light: Illuminating existing IoT data lost within your organization," Business Horizons, Elsevier, vol. 63(4), pages 519-530.
    3. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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