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Uber used a disruptive business model driven by digital technology to trigger a ride-sharing revolution. The institutional sources of the company's platform ecosystem architecture were analyzed to explain this revolutionary change. Both an empirical analysis of a co-existing development trajectory with taxis and institutional enablers that helped to create Uber's platform ecosystem were analyzed. The analysis identified a correspondence with the "two-faced" nature of ICT that nurtures uncaptured GDP. This two-faced nature of ICT can be attributed to a virtuous cycle of decline in prices and an increase in the number of trips. We show that this cycle can be attributed to a self-propagating function that plays a vital role in the spinoff from traditional co-evolution to new co-evolution. Furthermore, we use the three mega-trends of ICT advancement, paradigm change and a shift in people's preferences to explain the secret of Uber's system success. All these noteworthy elements seem essential to a well-functioning platform ecosystem architecture, not only in transportation but also for other business institutions.Keywords: Ride-sharing revolution, ICT-driven disruptive business model, Uber's system success, Two-faced nature of ICT, Un-captured GDP The research leading to these results has received funding from the Strategic Research Council at the Academy of Finland under grant agreement no: 293446 -Platform Value Now: Value capturing in the fast emerging platform ecosystems.
Platform Value Now will focus on understanding the fast emerging platform ecosystems, their value creation dynamics and requirements of the supportive institutional environment. We will analyze ecosystems with systems tools and develop new methods for platform-centric ecosystems management. Data collection is based on active scanning of global technology and platform ecosystems and fast solution oriented case experiments with Finnish corporations and policy planners. The aim of the project is to operationalize the collected understanding into a Platform Profile framework that will enable more efficient method and tool development for ecosystem management.2
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