New technology foresight method based on intelligent knowledge management

Abstract

The increasing importance of technology foresight has simultaneously raised the significance of methods that determine crucial areas and technologies. However, qualitative and quantitative methods have shortcomings. The former involve high costs and many limitations, while the latter lack expert experience. Intelligent knowledge management emphasizes human–machine integration, which combines the advantages of expert experience and data mining. Thus, we proposed a new technology foresight method based on intelligent knowledge management. This method constructs a technological online platform to increase the number of participating experts. A secondary mining is performed on the results of patent analysis and bibliometrics. Thus, forward-looking, innovative, and disruptive areas and relevant experts must be discovered through the following comprehensive process: Topic acquisition → topic delivery → topic monitoring → topic guidance → topic reclamation → topic sorting → topic evolution → topic conforming → expert recommendation.

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Correspondence to Lingling Zhang.

Additional information

The work is supported by the National Natural Science Foundation of China (Grant Nos. 71471169, 91546201 and 71071151).

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Zhang, L., Huang, S. New technology foresight method based on intelligent knowledge management. Front. Eng. Manag. 7, 238–247 (2020). https://doi.org/10.1007/s42524-019-0062-z

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Keywords

  • technology foresight
  • intelligent knowledge management
  • technological online platform