Inventors are not alike: the distribution of patenting output among industrial R&D personnel

From theoretical work, as well as from empirical findings on the distribution of scientific performance, we can deduce that there are also great variations in the output of industrial research and development personnel. By analyzing the patenting output from research and development personnel, we are able to measure their technological performance. The inventor portfolio provides a method to measure and identify key inventors. Key inventors are characterized by a large number of patent applications which are of high quality. This paper presents the results from an empirical study that analyzes the distribution of the patenting output of inventors working in the chemical, electrical, and mechanical engineering industry in 43 German companies. The findings of this study suggest that the technological performance of inventors defined by the number and quality of filed patents is highly concentrated. In particular, a very small group of key inventors is responsible for the major part of the company's technological performance, and thus for the company's competitiveness. These findings, in turn, have major practical implications for human resource management in industrial R&D departments.

[1]  D. Harhoff,et al.  Citation Frequency and the Value of Patented Inventions , 1999, Review of Economics and Statistics.

[2]  Holger Ernst,et al.  Patent portfolios for strategic R & D planning , 1998 .

[3]  J. Vitt.  Schlüsselerfinder in der industriellen Forschung und Entwicklung , 1998 .

[4]  Holger Ernst,et al.  The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry , 1997 .

[5]  K. Brockhoff.  Ist die kollektive Regelung einer Vergütung von Arbeitnehmererfindungen wirksam und nötig , 1996 .

[6]  H. Ernst,et al.  Patentinformationen für die strategische Planung von Forschung und Entwicklung , 1996 .

[7]  A. Chester.  Measurements and Incentives for Central Research , 1995 .

[8]  Holger Ernst,et al.  Patenting strategies in the German mechanical engineering industry and their relationship to company performance , 1995 .

[9]  Incentives for employed inventors: an empirical analysis with special emphasis on the German Law for Employee's Inventions , 1995 .

[10]  I. Nonaka,et al.  The Knowledge Creating Company , 2008 .

[11]  Arvind Singhal,et al.  Managing Human Resources for Innovation and Creativity , 1993 .

[12]  Francis Narin,et al.  Technology Indicators and Corporate Strategy , 1993 .

[13]  Warren B. Brown,et al.  Observations on the measurement of R&D productivity: a case study , 1992 .

[14]  Klaus Brockhoff,et al.  Instruments for patent data analyses in business firms , 1992 .

[15]  F. Narin,et al.  Direct validation of citation counts as indicators of industrially important patents , 1991 .

[16]  Jacques Mairesse,et al.  R&D Productivity: A Survey of Econometric Studies at the Firm Level , 1991 .

[17]  Walter L. Robb.  How Good Is Our Research , 1991 .

[18]  Amram R. Shapiro,et al.  Responding to the Changing Patent System , 1990 .

[19]  Ove Granstrand,et al.  The Acquisition of Technology and Small Firms by Large Firms , 1990 .

[20]  Rene Cordero,et al.  The measurement of innovation performance in the firm: An overview , 1990 .

[21]  Z. Griliches.  Patent Statistics as Economic Indicators: a Survey , 1990 .

[22]  M. Trajtenberg.  A Penny for Your Quotes : Patent Citations and the Value of Innovations , 1990 .

[23]  R. Sen,et al.  Using Patent Information in Technology Business Planning—I , 1988 .

[24]  J. T. Wallmark,et al.  Measurement of output from university research: a case study , 1988 .

[25]  Raynold A. Svenson,et al.  Measuring R&D Productivity , 1988 .

[26]  J. Walsh.  Top management turnover following mergers and acquisitions , 1988 .

[27]  Keith Pavitt,et al.  USES AND ABUSES OF PATENT STATISTICS , 1988 .

[28]  F. Narin,et al.  Patents as indicators of corporate technological strength , 1987 .

[29]  Bjørn L. Basberg,et al.  Patents and the measurement of technological change: A survey of the literature☆ , 1987 .

[30]  Luc Soete,et al.  The impact of technological innovation on international trade patterns: The evidence reconsidered* , 1987 .

[31]  J. T. Wallmark,et al.  Quality of research measured by citation method and by peer review — A comparison , 1986, IEEE Transactions on Engineering Management.

[32]  Z. Griliches,et al.  Patents and R and D: Is There a Lag? , 1986 .

[33]  Ariel Pakes,et al.  Estimates of the Value of Patent Rights in European Countries During Thepost-1950 Period , 1985 .

[34]  Francis Narin,et al.  Technological performance assessments based on patents and patent citations , 1984, IEEE Transactions on Engineering Management.

[35]  Zvi Griliches,et al.  Patents and R&D: is There a Lag? , 1984 .

[36]  Z. Griliches,et al.  Who Does R&D and Who Patents? , 1982 .

[37]  Robert T. Keller,et al.  The measurement of performance among research and development professional employees: A longitudinal analysis , 1982, IEEE Transactions on Engineering Management.

[38]  Francis Narin,et al.  Citation rates to technologically important patents , 1981 .

[39]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

[40]  Hans-Horst Schröder,et al.  Forschung und Entwicklung in der Unternehmung , 1977 .

[41]  Thomas J. Allen,et al.  Managing the flow of technology: technology transfer and the dissemination of technological informat , 1977 .

[42]  Derek de Solla Price,et al.  A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..

[43]  Stephen I. Cohen,et al.  Information Flow in Research and Development Laboratories. , 1969 .

[44]  Commerzbank.  Wer gehört zu wem : Mutter- und Tochtergesellschaften von A--Z , 1966 .

[45]  William Shockley,et al.  On the Statistics of Individual Variations of Productivity in Research Laboratories , 1957, Proceedings of the IRE.

[46]  H. Simon,et al.  ON A CLASS OF SKEW DISTRIBUTION FUNCTIONS , 1955 .

[47]  Alfred J. Lotka,et al.  The frequency distribution of scientific productivity , 1926 .