Generative AI and AI-Based Business Model Innovation

Authors

  • Naomi Haefner University of St. Gallen
  • Oliver Gassmann University of St. Gallen

Abstract

A conversation with Oliver Gassmann and Naomi Haefner – interviewed by Christian Nielsen

References

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Haefner, N., J. Wincent, V. Parida, and O. Gassmann (2021). Artificial intelligence and innovation management: A review, framework, and research agenda, in: Technological Forecasting and Social Change, Volume 162, 2021, 120392.

Haefner, N., V. Parida, O. Gassmann and J. Wincent. Artificial intelligence: A review, framework, and further research agenda for implementing and scaling. Forthcoming in Technological Forecasting and Social Change.

Massa, L. (2023), Why uncertainty and sustainability will be key drivers of business model innovation, Journal of Business Models, Vol. 11, No. 3, pp. 24-29

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Schmück, K. (2023), How Blockchain disrupts business model innovation counting on lock-in effects, Journal of Business Models, Vol. 11, No. 3, pp. 57-61

Schuhmacher, A., A. Gatto, M. Hinder, M. Kuss and O. Gassmann (2020), The upside of being a digital pharma player, in Drug Discovery Today, Volume 25, Issue 9, p. 1569-1574,

Schuhmacher, A., N. Haefner, K. Honsberg, J. Goldhahn and O. Gassmann (2023), The dominant logic of Big Tech in healthcare and pharma, in: Drug Discovery Today, Volume 28, Issue 2, 2023, 103457.

Silvi, R., C. Nielsen and A. Pia (2023), From Insights to Business Model Innovation and Results: Using the Digital Transformation Canvas, Journal of Business Models, Vol. 11, No. 3, pp. 30-45

Published

17-11-2023

Issue

Section

Special issue: The Future of Business Model Innovation, Core Themes and Pivotal Technologies