Remove 2014 Remove Big Data Remove Design Remove LEAN
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So Where Is Innovation Heading?

Paul Hobcraft

I have written a fair amount about the new innovation era, offering a view on its future design. One that is jumping to a fresh cycle of innovative design. We are in the middle of it, some of you may not have noticed its impact and change but it is significant on the understanding of innovation, in it’s future design.

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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

Tim’s Comment: There’s one other way that this idea plays out too – figuring out how to use lean startup techniques inside of established organisations. As of the first quarter of 2014, 30 percent of Fortune 500 companies did not have a mobile app, and less than half had a mobile website.

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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Adapted from: https://nbry.wordpress.com/2014/06/27/massive-platforms-for-cocreation-the-new-normal-22/. It requires a more deliberated approach, such as the lean startup process, design thinking or a combination thereof. Winner-takes-all dynamics play out. These will be major rules, most upcoming 21 C businesses will play by.

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7 Habits of Highly Innovative Companies

ITONICS

The term comes from the English and is based on the Lean Startup Model by Eric Ries. Companies have already started linking innovation to data analytics to solve a variety of problems. There is still some negative feeling and judgment behind the word failure.

Company 57
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50 what-if questions to reimagine the future

Board of Innovation

Airbnb and Ryanair originally designed a service with only B2C customers in mind. Can you design services where no humans are involved? This tracker is interesting because it combines big data management with a photographic memory. In 2014, you could start by organizing your own intrapreneurship program.

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A New Way of Thinking About the Automotive Industry

Qmarkets

Windows - innovations in this department can lead to aesthetic design innovation. Furthermore, as one billion people get in and out of cars every single day, McKinsey forecasts that aggregating and selling data from these vehicles could grow into a $450 to 750 billion market by 2030. Key Challenge: Self-Disruption.