Integrating intra-firm and inter-firm knowledge diffusion into the knowledge diffusion model

Knowledge value and enterprise benefits are closely related. The performance of a knowledge management system can be evaluated when the dynamic relationship between knowledge value and its corresponding enterprise benefits is identified quantitatively. This study introduces five kinds of knowledge diffusion patterns, including knowledge internalization, knowledge externalization, knowledge improvement, external knowledge acquisition, and internal knowledge release, to construct the knowledge diffusion model which integrates the intra-firm and inter-firm diffusion processes simultaneously. An illustrative case demonstrates the feasibility of the proposed model successfully. In addition to the estimation of all parameters involved in the model, the parameter analysis provides some managerial insights into the implementation of the knowledge management system. Therefore, it follows that knowledge can be managed more effectively, and as a result the appropriate knowledge strategies can also be established for enhancing competitiveness.

[1]  Mark E. Van Buren,et al.  Valuing investments in intellectual capital , 1999 .

[2]  R. de Hoog,et al.  The monetary value of knowledge assets: a micro approach , 2000 .

[3]  Pierpaolo Andriani,et al.  Managing Knowledge for Innovation , 2002 .

[4]  K. D. Joshi,et al.  Organizational knowledge resources , 2001, Decis. Support Syst..

[5]  Victor B. Kreng,et al.  The construct and application of knowledge diffusion model , 2003, Expert Syst. Appl..

[6]  Heeseok Lee,et al.  Knowledge management strategy and its link to knowledge creation process , 2002, Expert Syst. Appl..

[7]  Varun Grover,et al.  Information technology innovations: general diffusion patterns and its relationships to innovation characteristics , 2002, IEEE Trans. Engineering Management.

[8]  F. Bass A new product growth model for consumer durables , 1976 .

[9]  Yannis Caloghirou,et al.  Internal capabilities and external knowledge sources: complements or substitutes for innovative performance? , 2004 .

[10]  I. Nonaka,et al.  SECI, Ba and Leadership: a Unified Model of Dynamic Knowledge Creation , 2000 .

[11]  Linda Argote,et al.  Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes , 2003, Manag. Sci..

[12]  Bert van Wegen,et al.  Understanding and valuing knowledge assets: Overview and method , 1997 .

[13]  Antony Satyadas,et al.  Knowledge management tutorial: an editorial overview , 2001, IEEE Trans. Syst. Man Cybern. Part C.

[14]  Michael H. Zack,et al.  Developing a Knowledge Strategy , 1999 .

[15]  David Malone,et al.  Knowledge management: A model for organizational learning , 2002, Int. J. Account. Inf. Syst..

[16]  Frank M. Bass,et al.  A New Product Growth for Model Consumer Durables , 2004, Manag. Sci..

[17]  Paul R. Carlile,et al.  Into the black box: the knowledge transformation cycle , 2003, IEEE Engineering Management Review.

[18]  Laurence P. Chait,et al.  Creating a Successful Knowledge Management System , 1999 .

[19]  David William Birchall,et al.  Assessing the firm's strategic knowledge portfolio: a framework and methodology , 2002, Int. J. Technol. Manag..

[20]  Massimo Paolucci,et al.  Allocating crude oil supply to port and refinery tanks: a simulation-based decision support system , 2002, Decis. Support Syst..