One of the greatest challenges facing innovation professionals is to find the right approach to a given innovation problem. Whether that’s instilling the innovation mojo in a large corporation or simply helping teams become more innovative, the ways to do this seem to be more of an art than a science. However, during the last ten years there has been a strong push to turn this art form into more of a science.
Over 650 submitted projects from all over the world, over 70 international partners including UNESCO, governments, NGOs and media – these are the first facts and figures from the Bringing tech&science closer to people campaign, launched in November 2016. All the best projects were officially presented on Closertopeople.com last week, the effect is mind-boggling.
In the first part of a 3-part article series innovation-3’s Frank Mattes and Integrative Innovation’s Ralph-Christian Ohr worked out why successful firms need to balance radical and incremental innovation. They introduced the concept of organizational ambidexterity as an appropriate way for simultaneously conducting exploration and exploitation, the two paradigms behind radical and incremental innovation.This second part shows some best practice examples of how the most innovative firms are setting up organizational ambidexterity.
Agility, innovation, and operational excellence form the transformation triangle. Whether you’re slinging tacos or manufacturing durable glass for iPhones, your company needs all three to survive and thrive.
What do General Electric (GE), Procter & Gamble (P&G) and IBM have in common? All three companies nurture and energize talent, carving out the necessary resources to invest in recruiting, selecting and growing the people who will become their future leaders. This, in turn, provides a fertile setting for innovation to thrive.
There has been a shift from the emphasis on what people called the “information value chain” to “knowledge value chain” for quite some time. The environments are shrewd and unpredictable in this world of growing competition and rapid technological progress. The information value chain just served as a database of “best practices” whereas “knowledge value chain” emphasizes on the active sense making of human beings handling business.