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A patent-based method for monitoring the development of technological innovations based on knowledge diffusion

Wei Liu (School of Economic and Management, Hebei University of Technology, Tianjin, China, and National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin, China)
Runhua Tan (School of Economic and Management, Hebei University of Technology, Tianjin, China, National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin, China and School of Mechanical Engineering, Hebei University of Technology, Tianjin, China)
Zibiao Li (School of Economic and Management, Hebei University of Technology, Tianjin, China)
Guozhong Cao (National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin, China and School of Mechanical Engineering, Hebei University of Technology, Tianjin, China)
Fei Yu (National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin, China and School of Mechanical Engineering, Hebei University of Technology, Tianjin, China)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 20 April 2020

Issue publication date: 8 March 2021

942

Abstract

Purpose

The purpose of this paper is to investigate the diffusion patterns of knowledge in inspiring technological innovations and to enable monitoring development trends of technological innovations based on patent data analysis, thus, to manage knowledge wisely to innovate.

Design/methodology/approach

The notion of knowledge innovation potential (KIP) is proposed to measure the innovativeness of knowledge by the cumulative number of patents originated from its inspiration. KIP calculating formula is regressed in forms of two specific diffusion models by conducting a series of empirical studies with the patent-based indicators involving forward and backward citation numbers to reveal knowledge managing strategies regarding innovative activities.

Findings

Two specific diffusion models for regressing KIP formula are compared by empirical studies with the result indicating the Gompertz model has higher accuracy than the Logistic model to describe the developing curve of technological innovations. Moreover, the analysis of patent-based indicators over diffusion stages also revealed that patents applied at earlier diffusion stages normally has higher forward citation numbers indicating higher innovativeness meanwhile the patents applied at the latter stages usually requiring more knowledge inflows observed by their larger non-patent citation and backward citation amounts.

Originality/value

Although there is a large body of literature concerning knowledge-based technological innovation, there still room for discussing the mechanism of how knowledge diffuses and inspired knowledge. To the best of authors' knowledge, this study is the first attempt to quantitate the innovativeness of knowledge in technological innovation from the knowledge diffusion perspective with findings to support rational knowledge management related to innovation activities.

Keywords

Acknowledgements

Corrigendum: It has come to the attention of the publisher that the article Liu, W., Tan, R., Li, Z., Cao, G. and Yu, F. (2020), “A patent-based method for monitoring the development of technological innovations based on knowledge diffusion”, Journal of Knowledge Management, Vol. ahead-of-print No. ahead-of-print, was missing a reference. This reference has now been updated and added to the online version. The authors sincerely apologise for this.

Citation

Liu, W., Tan, R., Li, Z., Cao, G. and Yu, F. (2021), "A patent-based method for monitoring the development of technological innovations based on knowledge diffusion", Journal of Knowledge Management, Vol. 25 No. 2, pp. 380-401. https://doi.org/10.1108/JKM-09-2019-0502

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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