Individual Report: Uber's Disruptive Innovation Case Study, IFN502

This report provides a comprehensive analysis of Uber as a disruptive innovation, focusing on its service innovation aspects, which include filling the gap between drivers and riders, on-demand service strategy, and instant availability. The report details Uber's core components, such as passengers, drivers, and the payment system facilitated through a smartphone app. It explores the value of Uber's innovation, highlighting how it simplifies transportation and its use of machine learning to provide better service and predict demands. The report also examines the outcomes, including business growth, stakeholder adoption, and expansion of benefits for drivers, along with the application of machine learning in improving service and predicting demands. Overall, the report provides a detailed overview of Uber's impact on the transportation sector.

Ride Sharing Service: UBER
Disruptive Innovation can be of two types:
Product Innovation & Service Innovation.
The selected one is considered to be the
Service Innovation
Aspects:
• It fills the gap between the drivers and
riders
• It follows the strategy of on-demand Service
• Provides accommodation of riders
according to the number of riders
• Instant availability
Introducing to Uber:
• It is supported in Smart Phone App and
Website
• Provide services to hire vehicles to reach to
the destination
• Availability in anytime and anywhere
• Headquarters in San Francisco and California
and U.S.
• Platform for matching drivers and passengers
• Let the drivers to earn
• Let the customers to enjoy the service and get
benefits for using
Main Components:
• Passengers
• Taxi drivers
• Payment of Fare accordingly
• They communication
through the app which is
runnable on smart phone.
Value of Innovation
• Uber offers great service to get
a ride with just tapping
buttons, from which people
gets benefitted from every
background and it makes the
transportation easier and
comfortable
• Gained $100 billion valuation
Innovation in UBER
The core of the Uber service consists
of Machine Learning, which helps to
provide better service. With a single
tap users can see the suggestion
which are provided on the basis of
frequently travelled destination.
The drivers are notified about the
upcoming demands based on
predictions which helps form earn
profit. The Customers can see the
available cabs nearer to the
customer’s location.
Outcomes
• Statistics
• A healthy growth in business can
be observed
• Strong adoption of various
stakeholders
• Expansion of benefits for the
Drivers
• Selection of restaurants by Uber