Intellectual capital: from intangible assets to fitness landscapes

Abstract Intellectual Capital (IC) has been proposed by Edvinsson and Malone (Intellectual capital, Harper, 1997) as a technique for quantifying a company's intangible assets. A careful analysis can result in hundreds of variables, and extracting knowledge from these measurements can be difficult. We introduce a knowledge management technique called IC mapping that attempts to synthesize this data into a fitness landscape. Using the map, managers can query the surrounding landscape, view the company's trajectory across the landscape, and calculate what parameters need to be changed to reach new locations. IC mapping provides a novel knowledge management tool for understanding, managing, and representing a company's intangible knowledge assets.

[1]  Teuvo Kohonen,et al.  Self-Organizing Maps, Second Edition , 1997, Springer Series in Information Sciences.

[2]  Danny Coomans,et al.  Comparative Performance Analysis of Non-Linear Dimensionality Reduction Methods , 1995 .

[3]  Danny Coomans,et al.  Non-Linear Dimensionality Reduction: A Comparative Performance Analysis , 1995, AISTATS.

[4]  R. Kaplan,et al.  The Balanced Scorecard: Translating Strategy into Action , 1996 .

[5]  John Mark,et al.  Introduction to radial basis function networks , 1996 .

[6]  F. Girosi,et al.  From regularization to radial, tensor and additive splines , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[7]  R. V. Scott,et al.  Wal-Mart : a history of Sam Walton's retail phenomenon , 1994 .

[8]  Brendan Kitts,et al.  Visualizing Company Fitness in High-Dimensional Parameter Space , 1999 .

[9]  Nathaniel Bowditch,et al.  The new American practical navigator , 1802 .

[10]  Tim R.V. Davis,et al.  How virtual corporations manage the performance of contractors: The super bakery case , 1995 .

[11]  A. Naud.  Simplexes Multi Dimensional Scaling and Self Organized Mapping , 1996 .

[12]  D. Betteridge,et al.  Reflections on the modified simplex-I. , 1985, Talanta.

[13]  Susan L Handy,et al.  The Future of Telecommuting , 1996 .

[14]  L. Jennergren.  A Tutorial on the McKinsey Model for Valuation of Companies , 2002 .

[15]  F. Girosi,et al.  From regularization to radial, tensor and additive splines , 1993, Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE-SP Workshop.

[16]  Roman Bek,et al.  Discourse on one way in which a quantum-mechanics language on the classical logical base can be built up , 1978, Kybernetika.

[17]  Forrest W. Young.  Multidimensional Scaling: History, Theory, and Applications , 1987 .

[18]  nicola harrison,et al.  Teleworking from Home , 1998 .

[19]  Kagan Tumer,et al.  Error Correlation and Error Reduction in Ensemble Classifiers , 1996, Connect. Sci..

[20]  Herman Chernoff,et al.  The Use of Faces to Represent Points in k- Dimensional Space Graphically , 1973 .

[21]  T. Kohonen,et al.  Exploratory Data Analysis by the Self-Organizing Map: Structures of Welfare and Poverty in the World , 1996 .

[22]  A. Damodaran.  Investment Valuation: Tools and Techniques for Determining the Value of Any Asset , 1995 .

[23]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[24]  D. Betteridge,et al.  Reflections on the modified simplex-II. , 1985, Talanta.

[25]  Antoine Naud,et al.  Multidimensional scaling and kohonen?s self-organizing maps , 1996 .

[26]  R. Shepard.  Representation of structure in similarity data: Problems and prospects , 1974 .

[27]  Hans-Peter Kriegel,et al.  Visualization Techniques for Mining Large Databases: A Comparison , 1996, IEEE Trans. Knowl. Data Eng..

[28]  David L. Thompson,et al.  High-Tech Society , 1988 .

[29]  Sriganesh R. Karur,et al.  Augmented Thin Plate Spline Approximation in DRM , 1995 .