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Digital Business Models A Literature-Based Taxonomy And Research Avenues

Author

Listed:
  • BERND W. WIRTZ

    (German University of Administrative Sciences Speyer, Germany)

  • WILHELM M. MÃœLLER

    (German University of Administrative Sciences Speyer, Germany)

  • PAUL F. LANGER

    (German University of Administrative Sciences Speyer, Germany)

Abstract

Digital technologies and connectivity offer unprecedented opportunities for businesses to adapt and reinvent themselves to gain and sustain competitive advantage. Digital transformation and business model innovation have generated a large body of research in recent years due to their great practical importance. This study critically evaluates this extensive literature and aims to capture different understandings of digital business models (DBMs), identify knowledge gaps and highlight perspectives for further research. To achieve this, the literature review deductively filters out the most relevant 626 studies. For this purpose, the literature is clustered into the areas of “definition and terminology†, “classification and taxonomy†, “technology†, “configuration, structures and processes†, “drivers and determinants†and “results and impacts†. The most important scientific results and approaches are discussed and corresponding implications are derived from previous research in order to summarise the most important findings and perspectives for science and practice.

Suggested Citation

  • Bernd W. Wirtz & Wilhelm M. Mãœller & Paul F. Langer, 2023. "Digital Business Models A Literature-Based Taxonomy And Research Avenues," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 27(07n08), pages 1-76, October.
  • Handle: RePEc:wsi:ijimxx:v:27:y:2023:i:07n08:n:s1363919623300039
    DOI: 10.1142/S1363919623300039
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