Digital Business Model Innovation: Empirical insights into the drivers and value of Artificial Intelligence


  • Johannes Winter Head of Department Technological Sovereignty and Industrial Value Creation, National Academy of Science and Engineering (acatech), Germany



Artificial Intelligence, Data Analytics, Data Management, Business Model, Business Model Innovation, Business Process Reengineering, Digital Transformation, Digitalization, Smart Manufacturing, Smart Mobility, Smart Farming, Empirical study, Survey


The business activities of traditional industrial companies have commonly focused on products and product-related services. Digital pioneers have evolved their offerings into product-service systems that are networked, intelligent, personalized, and adaptable. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players better today than tomorrow to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business model innovation in industry and the service sector and to enrich it with practical examples of the successful implementation of artificial intelligence in products and services.


Download data is not yet available.


acatech – National Academy of Science and Engineering (2016): Industrie 4.0 in a global context. Berlin.

acatech – National Academy of Science and Engineering (2021): Platform Learning Systems. URL:

Brynjolfsson, E. & Kahin, B. (2002): Understanding the Digital Economy: Data, Tools, and Research. MIT Press.

Christensen, C. M. & Raynor, M. E. & McDonald, R. (2015): What Is Disruptive Innovation? In: Harvard Business Review, Special Feature.

Cooper, R. G. & Friis Sommer, A. (2020): New-Product Portfolio Management with Agile Challenges and Solutions for Manufacturers Using Agile Development Methods. In: Research Technology Management 63 (1), pp. 29-38.

Cusumano, M., Gawer, A. & Yoffie, D. B. (2019): The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power. New York City, Harper Collins.

Daugherty, P. & Wilson, H. J. (2018): Human + Machine. Reimagining Work in the Age of AI. Cambridge, Ingram Publisher Services.

Falk, S. & Winter, J. (2020): Turning data into value. In: NEO, 04/2020, pp. 14-17.

Kagermann, H. & Winter, J. (2017): Industrie 4.0 und plattformbasierte Geschäftsmodellinnovationen, in: Lucks, K. (Hrsg.): Praxishandbuch Industrie 4.0, Stuttgart, pp. 21-32.

Kagermann, H. & Winter, J. (2018): The second wave of digitalization. In: Mayr, S., Messner, D. & Meyer, L. (eds.), Germany and the World 2030: What will change. How we must act. Berlin, Econ.

McAfee, A. & Brynjolfsson, E. (2017): Machine, Platform, Crowd. New York, Norton & Company.

Mundie, C. (2014): Privacy Pragmatism. Focus on data use, not data collection. In: Foreign Affairs, 93, 28pp.

Muro, M., Maxim, R. & Whiton, J. (2019): Automation and Artificial Intelligence: How machines are affecting people and places. URL:

Nicholson, J., Gimmon, E. & Felzensztein, C. (2017): Economic Geography and Business Networks: Creating a Dialogue between Disciplines: An Introduction to the Special Issue. In: Industrial Marketing Management, Vol. 61, pp. 4-9.

Parker, G. G., Van Alstyne, M. W. & Choudary, S. P. (2016): Platform Revolution: How Networked Markets Are Transforming the Economy. New York, Norton & Company.

Platform Learning Systems / acatech – National Academy of Science and Engineering (2020): Creating data into value. München.

Platform Learning Systems / acatech – National Academy of Science and Engineering (2021): Map on AI. URL:

Porter, M. E. & Heppelmann, J. E. (2015): How Smart, Connected Products Are Transforming Competition. Harvard Business Review (October 2015), pp. 97-114.

Rochet, J.-C. & Tirole, J. (2016): Two-sided markets: a progress report. In: RAND Journal of Economics, Vol. 37, No. 3.

Rysman, M. (2009): The Economics of Two-Sided Markets, in: Journal of Economic Perspectives, Vol. 23, No. 3, pp. 125–143

Tiwana, Amrit (2013): Platform Ecosystems: Aligning Architecture, Governance, and Strategy. Waltham/Massachusetts, Morgan Kaufmann.

Winter, J. (2010): Upgrading of TNC subsidiaries: The case of the Polish automotive industry, in: International Journal of Automotive Technology (IJATM), 10 (2/3), pp. 145-160.

Winter, J. (2017): Europe and the platform economy (Europa und die Plattformoekonomie). In: Bruhn M., Hadwich, K. (eds): Services 4.0 (Dienstleistungen 4.0). Springer Gabler, Wiesbaden, pp. 71-88.

Winter, J. (2019): Added Value 4.0 (Wertschoepfung 4.0). In: Steven, M.; Grandjean, L. (eds.): Market Opportunities 4.0 (Marktchancen 4.0), Stuttgart, pp. 40-62.

Winter, J. (2020): The evolutionary and disruptive potential of Industrie 4.0. In: Hungarian Geographical Bulletin, Special Issue on Industry 4.0, Vol. 69, No. 2, pp. 1-15.




How to Cite

Winter, J. (2021). Digital Business Model Innovation: Empirical insights into the drivers and value of Artificial Intelligence. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 21, 63–75.



Research Articles