Competency Traps Meeting
Wednesday, July 30th, 2008
Today’s meeting of the BQF Innovation Unit discussed the issue of Competency Traps. The session was led by Richard Granger of Arthur D Little. He presented a comprehensive review of the topic and then facilitated a workshop where delegates assessed their organisational competence in 7 key areas. Competency traps are skills, attributes and things we are proud of, that constrain our thinking. They break down into a Vision trap, a Routinisation trap and Technology traps. Richard advised that the best way to combat these hazards is to open the organisation up to external stimuli. This led into a discussion of many aspects of open innovation and we reviewed what P&G, Rolls-Royce and Philips Research were doing in these areas. Seven key management capabilities were identified:
- Innovation Sourcing Strategy
- Ideas Management
- Business Intelligence
- Relationship Management
- Project Management
- Competence Management
- Innovation Culture
In the workshop session delegates identified the areas of greatness weakness as being Innovation Culture, Business Intelligence and Project Management.
There followed a presentation on Innovation actitivities at EDF Energy given by Kathy Hart. She covered a range of initiatives including ‘Let’s Try it’, Dragon’s Lair, Ambassadors, Innovation Funding Incentives and E-Factor and described some of the successful innovations that have resulted.
Delegates who attended and BQF members can obtain copies of the powerpoint presentations from Pat Myles.
Our thanks go to our presenters Richard Granger and Kathy Hart for making the morning stimulating and productive.
Paul Sloane
‘It happened because during my first year at Berkeley I arrived late one day to one of Neyman’s classes. On the blackboard were two problems which I assumed had been assigned for homework. I copied them down. A few days later I apologized to Neyman for taking so long to do the homework–the problems seemed to be a little harder to do than usual. I asked him if he still wanted the work. He told me to throw it on his desk. I did so reluctantly because his desk was covered with such a heap of papers that I feared my homework would be lost there forever. About six weeks later, one Sunday morning about eight o’clock, Anne and I were awakened by someone banging on our front door. It was Neyman. He rushed in with papers in hand, all excited: “I’ve just written an introduction to one of your papers. Read it so I can send it out right away for publication.” For a minute I had no idea what he was talking about. To make a long story short, the problems on the blackboard which I had solved thinking they were homework were in fact two famous unsolved problems in statistics. That was the first inkling I had that there was anything special about them.’