In the first section, the main drawbacks of traditional problem solving platform were presented. These drawbacks are
- the difficulty to attract and engage sufficient number of qualified experts,
- the difficulty to efficiently match seeker problems with potential experts,
- the difficulty to give the seeker convincing incentives to reward all promising solutions and
- the difficulty to manage confidentiality and to ensure a reliable transfer of intellectual property.
In the second section, we presented the disruptive approach that we have developed and implemented. The Multistep Dynamic Expert Sourcing approach relies on both an innovative Expert Search Engine technology and a three-step process for the actual problem solving phase. The Expert Search Engine ensures a relevant matching between experts and problems and avoids the necessity to get experts to register on a platform. The multistep process reduces the risks of losing time, money and intellectual property for all the parties.
We believe that this innovative and disruptive approach has a high potential to leverage expertise and intelligence through problem solving, and that it can contribute significantly to the success of online Open Innovation.
The present article is after the chapter we wrote in the book “A Guide to Open Innovation and Crowdsourcing: A Compendium of Best Practice, Advice and Case Studies from Leading Thinkers, Commentators and Practitioners“.
We create on-demand multicorporate & multiexpertise task forces for innovation & Intelligence.