Value creation and value capture for AI business model innovation: a three-phase process framework
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DOI: 10.1007/s11846-022-00521-z
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- Teece, David J., 2018. "Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world," Research Policy, Elsevier, vol. 47(8), pages 1367-1387.
- Mirella Muhic & Lars Bengtsson, 2021. "Dynamic capabilities triggered by cloud sourcing: a stage-based model of business model innovation," Review of Managerial Science, Springer, vol. 15(1), pages 33-54, January.
- Henry Chesbrough & Richard S. Rosenbloom, 2002. "The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 529-555, June.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018.
"Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics,"
NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57,
National Bureau of Economic Research, Inc.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2017. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Working Papers 24001, National Bureau of Economic Research, Inc.
- Ricarda B. Bouncken & Sascha Kraus & Norat Roig-Tierno, 2021. "Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations," Review of Managerial Science, Springer, vol. 15(1), pages 1-14, January.
- Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019.
"Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction,"
Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
- Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," NBER Working Papers 25619, National Bureau of Economic Research, Inc.
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 115-146, National Bureau of Economic Research, Inc.
- Mahka Moeen & Rajshree Agarwal, 2017. "Incubation of an industry: Heterogeneous knowledge bases and modes of value capture," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 566-587, March.
- Sven M. Laudien & Robin Pesch, 2019. "Understanding the influence of digitalization on service firm business model design: a qualitative-empirical analysis," Review of Managerial Science, Springer, vol. 13(3), pages 575-587, June.
- Sascha Kraus & Norat Roig-Tierno & Ricarda B. Bouncken, 2019. "Digital innovation and venturing: an introduction into the digitalization of entrepreneurship," Review of Managerial Science, Springer, vol. 13(3), pages 519-528, June.
- Jay Pil Choi & Chaim Fershtman & Neil Gandal, 2010.
"Network Security: Vulnerabilities And Disclosure Policy,"
Journal of Industrial Economics, Wiley Blackwell, vol. 58(4), pages 868-894, December.
- Fershtman, Chaim & Gandal, Neil & Choi, Jay Pil, 2007. "Network Security: Vulnerabilities and Disclosure Policy," CEPR Discussion Papers 6134, C.E.P.R. Discussion Papers.
- Visnjic, Ivanka & Jovanovic, Marin & Neely, Andy & Engwall, Mats, 2017. "What brings the value to outcome-based contract providers? Value drivers in outcome business models," International Journal of Production Economics, Elsevier, vol. 192(C), pages 169-181.
- Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
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Keywords
Business models; Artificial intelligence (AI); Value creation; Value capture; Process framework;All these keywords.
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