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Market complexity evaluation to enhance the effectiveness of TRIZ outputs

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conference contribution
posted on 31.10.2018, 09:16 authored by Paolo Carrara, Davide Russo, Anna Rita BennatoAnna Rita Bennato
In the context of innovation consulting activity, it may happen working in technical fields characterized by a high competitiveness level. Although TRIZ allows reaching innovative ideas in any kind of industry, it does not suggest any tool in order to evaluate the success rate of the invention in the reference market. During the last years, TRIZ got methodological contributes to sharpen the matching between the inventive idea and the actual needs of the market, for example the market potential tool. In order to support TRIZ experts in selecting the best innovation strategy, this paper introduces a new tool for the TRIZ toolbox that takes into account the competitiveness level of the market. Several economics works disclose the correlation between the patent-citation triadic relationships and the presence of dominant positions of few competitors. A patent analysis, focused on triads in patent citation, can inform the TRIZ expert about potential critical situation able to prevent the success of an inventive solution. It can generate an important indicator that helps him in selecting the most promising innovation strategy. The method could be integrated in a classic TRIZ activity, using commercial patent searching tools. The case study shows how to extract this kind of indicator from patent citation environment in Machine Learning field.

History

School

  • Business and Economics

Department

  • Economics

Published in

18th International TRIZ Future Conference

Volume

541

Issue

IFIP Advances in Information and Communication Technology

Pages

66 - 74

Citation

CARRARA, P., RUSSO, D. and BENNATO, A.R., 2018. Market complexity evaluation to enhance the effectiveness of TRIZ outputs. IN: Cavallucci, D., De Guio, R. and Koziolek, S. (eds). Automated Invention for Smart Industries. Proceedings of the 18th International TRIZ Future Conference (TFC 2018), Strasbourg, France, 29-31 October 2018, pp.66-74.

Publisher

Springer Nature Switzerland AG © IFIP International Federation for Information Processing

Version

AM (Accepted Manuscript)

Publisher statement

This is a pre-copyedited version of a contribution published in Cavallucci, D., De Guio, R. and Koziolek, S. (eds). Automated Invention for Smart Industries. Proceedings of the 18th International TRIZ Future Conference (TFC 2018) published by Springer . The definitive authenticated version is available online via https://doi.org/10.1007/978-3-030-02456-7_6.

Acceptance date

02/05/2018

Publication date

2018-10-12

Copyright date

2018

ISBN

9783030024550;9783030024567

Book series

IFIP Advances in Information and Communication Technology;541

Language

en

Location

Strasbourg, France