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Impact of Theory of Inventive Problem Solving (TRIZ) on Innovation Portfolio Development

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Towards AI-Aided Invention and Innovation (TFC 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 682))

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Abstract

Innovation portfolio management (IPM) is a critical planning phase for organisations to visualise all possible growth opportunities and strategically allocate resources. However, to maximise the probability of business growth, it is necessary to follow a robust structured portfolio process. This paper analyses research and highlights several success dimensions of innovation product portfolios by a systematic literature review and outlines nine success criteria. Additionally, it examines all the portfolio methods that significantly influence the portfolio’s “innovation” aspect. Secondly, we evaluate and discuss the impact of TRIZ tools and approaches on innovation portfolios and explore their relationships with business growth. Thirdly, the research presents modern TRIZ approaches, and the types of TRIZ-based innovation projects organisations can execute to build robust, innovative product portfolios. Finally, the article summarises critical information on the different types of innovation projects and TRIZ tools utilised for these projects.

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Acknowledgements

We would like to thank Mr Shree M Phadnis, TRIZAsia and GENTRIZ LLC for providing valuable inputs to the research.

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Authors and Affiliations

  1. Lappeenranta-Lahti University of Technology, 53850, Lappeenranta, Finland

    Nikhil Phadnis & Marko Torkkeli

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  1. Nikhil Phadnis
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  2. Marko Torkkeli
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Correspondence to Nikhil Phadnis .

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Editors and Affiliations

  1. ICube-CSIP/INSA Strasbourg, Strasbourg, France

    Denis Cavallucci

  2. Offenburg University of Applied Sciences, Offenburg, Germany

    Pavel Livotov

  3. Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Stelian Brad

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Phadnis, N., Torkkeli, M. (2023). Impact of Theory of Inventive Problem Solving (TRIZ) on Innovation Portfolio Development. In: Cavallucci, D., Livotov, P., Brad, S. (eds) Towards AI-Aided Invention and Innovation. TFC 2023. IFIP Advances in Information and Communication Technology, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-031-42532-5_27

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  • DOI: https://doi.org/10.1007/978-3-031-42532-5_27

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