University of Twente Student Theses
Assessing Radicality Using Patent Content Text-Mining : A Tesla Case Study
Sigger, J.B. (2023) Assessing Radicality Using Patent Content Text-Mining : A Tesla Case Study.
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| Abstract: | In this VUCA world, companies need to be selective in which projects they do or do not invest. The radicality of those projects is of major importance in determining future success. Furthermore, radicality is a good measure of competitive advantage and can be used by investors to make decisions on future investments. Patent analysis is a good way to determine radicality. There is however a gap in the research that focuses on patent content to determine radicality. In this research, it is attempted to fill this gap by developing a method using existing techniques and frameworks to assess radicality from the content of a patent portfolio. This is done by focusing on the patent portfolio of Tesla, a company that is active in the electric vehicle and sustainable energy industry. The result of this research shows a quantified value for the radicality of Tesla, and its development over time. By doing so, this research has provided a method to assess radicality, which can be used to compare companies to each other and to the industry as a whole. Keywords: Patent analysis, text mining, radicality. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | https://purl.utwente.nl/essays/94638 |
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