The consequences of artificial intelligence and deep learning in a world of persuasive business models

Per Valter · Peter Lindgren · Ramjee Prasad

23 citations0/0 files storedIEEE Aerospace and Electronic Systems Magazine

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Digital Innovation in Industries Artificial Intelligence Applications AI in Service Interactions

Abstract

Sensors, wireless, and persuasive technologies in our everyday life have increased and developed exponentially [8]. Today and increasingly over the last 5-10 years, business and academia are once again standing at “the foot of the mountain” while new technology is “racing” ahead. While practitioners are playing with these technologies, business, and academia are still struggling to decide what to do and where to climb the mountain next? They are wondering how and where to embed these technologies into their business models and how to use them in their communications with their customers, employees, and network partners. How and where do these new technologies fit into the business model?

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References

2011The Business Model: Recent Developments and Future Research 2010Complex Business Models: Managing Strategic Paradoxes Simultaneously 2014Business models for open innovation: Matching heterogeneous open innovation strategies with business model dimensions 2013The St.Gallen Business Model Navigator

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