Framework for the Identification of Fields of Innovation in the Product Environment Via Text Mining and Semantic Networks

Author:

Riesener Michael,Kuhn Maximilian,Lauf Hendrik,Schuh Günther

Publisher

Springer International Publishing

Reference37 articles.

1. Verein Deutscher Ingenieure: Entwicklung technischer Produkte und Systeme. Gestaltung individueller Produktentwicklungsprozesse, 1993rd edn. 03.100.40(VDI 2221 Blatt 2) (2019)

2. Chang, W., Taylor, S.A.: The effectiveness of customer participation in new product development: a meta-analysis. J. Mark. (2016). https://doi.org/10.1509/jm.14.0057

3. Riesener, M., Dölle, C., Becker, A., Schuh, G.: Modeling of usage hypotheses for the identification of innovation potential. In: 9th International Conference on Mass Customization and Personalization, pp. 191–198 (2020)

4. Andersen, N., Boersch, A., Blohmke, J.: Innovation in Europe. A Deloitte survey on European companies and how digital technologies can strategically enhance innovation. Deloitte Insights. https://www2.deloitte.com/de/de/pages/innovation/contents/innovationsreport-2019.html (2019)

5. Peter, M.K., Jarratt, D.G.: The practice of foresight in long-term planning. Technol. Forecast. Soc. Chang. (2015). https://doi.org/10.1016/j.techfore.2013.12.004

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1. Application of Topic Modeling for the Identification of Innovation Potentials in the Product Environment;2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM);2023-12-18

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