Mayomi's Blog

Great paper  on Open Collaborative innovation, pushed by organizationsandmarkets.com.  Written by two researchers from Harvard Business School and Sloan School of Management, it clearly shows the importance of bottom up innovation. They try to demonstrate how bottom up innovation is more and more competitive to former models. Cost efficicient, with an accelerated time to market. A research paper that will become a reference in the innovation industry.  Mayomi.com has been build on such  convictions: modern companies should leverage their customers and employees to find and sell the right innovations !

There is a great article from McKinsey on Prizes: a winning strategy for innovation. One could agree on many points, except when it comes to employees? Giving prizes to employees for any good idea or innovation is just a way to transform them into bounty hunters or move to a “win-lost” situation where employees try to steal ideas to others, reduce their imagination at work just to concentrate on the competition…. Mayomi.com will let companies decide if they want to give prizes to their users, but it must be carefully studied when it comes to employees. Recognition from peers or management, reputation or just pride are much more powerful -and collective- drivers than money.

Interesting post on the potential of Yammer or CubeTree for bottom-up innovation. Yammer and CubeTree are perfect tools to mobilize people. We’ll make Mayomi the perfect tool to complement Yammer to tap into collective intelligence.

Ideas are shaping the world.

Here we are. In 12 weeks we will release our first private beta round. It will be an iPhone app. Why the iPhone? Because Mayomi.com will help people get more results with their ideas when they are on the move. And because, shame on us, open source lovers, we are mad about the iPhone . If you are an iPhone user willing to private test, we would be honored to have you on board. Just drop us a mail with a short explanation of why you are interested and the kind of iPhone apps you are using. We’ll select a few users based on geographic spread and, well, a few secret variables .