Case Study

Design Thinking in Lima Peru

Silicon Valley's Innovatioship recently three days leading an open-invitation workshop in design thinking. It attracted a wide range of participants from Lima and other parts of Peru, from local CEOs wanting inspiration to students looking to increase their innovation skills.

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7 Social Myths that Hold Organizations Back

When Tony Bingham and Marcia Conner, co-authors of The New Social Learning, began talking with organizations about benefiting from the natural powers of employees learning from one another, they heard more about their obstacles than their opportunities. While some were genuine issues leaders needed to face to move their organizations forward, several were myths, perpetuated by old school practices and a fear of losing control.

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Why is Jack Ma More Inspiring than Steve Jobs?

Steve Jobs and Jack Ma have a lot in common. Both are drop-outs, Steve Jobs left college and spent some time collecting trash cans for money, while Jack Ma failed the university entrance exam twice and most of his job applications were rejected, including KFC. However, one thing sets them apart, one thing which has been the cornerstone of many of Jack Ma’s interviews: failure.

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Opening Up Innovation at Tata Steel

Open Innovation (OI) is a well-established way to increase options for innovation. It is quite prominent in areas such as Fast Moving Consumer Goods (CPG), but much less so in manufacturing industries. Kevin McFarthing recently find out more from Pete Longdon, who runs the OI programme at Tata Steel and details them in this post.

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Opening Data to Innovation: stories, takeaways and twists

There's lot of discussion now about "big data" and "open data". I've hunted stories from Britain and Japan that fall into three groups: using patterns in visitor behaviour to redesign their experience; using social data and peer benchmarking to help individuals; and using crowdfunding to measure demand for innovative new products. Distilling takeaways and twists on each set of stories, I suggest four principles for working with data that relate to curiosity, empathy and generosity.

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