innovation data

Is Innovation Data About More Than Ideas?

Anyone who is managing their innovation program with innovation software is generally amassing a wealth of data. Many people are looking at that data on an individual idea-level, but it’s actually possible to start looking at that data and identifying new themes, trends, or topics that will inform your strategy in the coming years by grouping that information on tags, text analysis, and more. It can be a trend early-warning system if you pay attention to it.

Disruptive Innovation Methodology: K³.P.I.

How does the disruptive machine work? In this article Alex Chenevier offers a consolidated view of his previous publication, (before introducing his disruptive innovation methodology) by recording his research itinerary and extracting three intertwined progresses (the knowledge space, the path dependency and knowledge fusion), ultimately surfacing a unified model. The scientific equation of K³ey Performance Indicator℠ is perhaps the first definite, quantifiable and measurable model, and therefore applicable in business terms.

The Innovation Knowing-Doing Gap

If you scrutinize the theories on innovation they seem to conclude for example, that ambidextrous organizations are best at handling incremental innovations rather than radical, and if we would focus more on learning, experimental organizations we would be better off… So why don’t we act accordingly? Bengt Järrehult takes a closer look at the reasons why we act against better knowing regarding innovation.