Abstract
The systematic observing and evaluation of the technology to obtain early information about the opportunities and risks of new technological developments is a key objective of technology forecasting and product foresight. The technology evaluation articulates the technology-related knowledge to assess the identified technologies’ potential use in products and processes. In this paper, the focus will be on existing forecasting methods and combinations. Moreover, the paper will figure out, if TRIZ and combinations of its methods support the forecasting process and which value it has been created. The paper provides a case study how TRIZ tools can be applied for an innovative, and more digital product like the Tesla car and derives future potential for the product and the embedded technologies. After that, it is compared with available expert view on the future to outline the differences in comparison to the TRIZ-based approach. As a result, implications for practice and research are summarized based on the developed TRIZ framework and its applicability to industry.
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Kiesel, M., Hammer, J., Kiesel, A. (2021). Applying TRIZ Tools in Product Foresight and Technology Forecasting: A Case Study from Industry. In: Mayer, O. (eds) TRIZ-Anwendertag 2020. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-63073-0_2
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DOI: https://doi.org/10.1007/978-3-662-63073-0_2
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