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BUSINESS INNOVATION ECONOMICS Introduction (A Data Constraint) Introduction (A Data Constraint) 3 New Knowledge Categories 3 New Knowledge Categories Applications in Firms Applications in Firms How to Access How to Access Acknowledgements Acknowledgements About Us About Us
Innovation Economics is held back by a data constraint that was identified by Harvard Professor Zvi Griliches in 1998. It still holds today. Why? Why did Professor Marty Feldstein, of the National Bureau of Economic Research, after touring plants of the defense contractor TRW, comment that nothing in his years of studying productivity was helpful to him in understanding what was going on there? Why has Federal Reserve Chairman Alan Greenspan found it neccessary to project so far into the future - to the year 2030 - to see an emergence of a single governing productivity? Both are implicit symptoms of Griliches’s data constraint, which occurs because the key data necessary to penetrate such productivities is mainly private, hidden in commercial reports; within factories, corporate offices and technical centers. Industry insiders – such as innovation professionals – have access to this data and are in an excellent position to understand and then articulate the economics of innovation processes from it, and have done so with far-reaching academic and practical consequences. The new knowledge is most easily explored from the navigation bar above. Then download 'Commercial Knowledge On Innovation Economics' for more study HERE
Introduction (A Data Constraint) Introduction (A Data Constraint)