Patent-based technology forecasting: case of electric and hydrogen vehicle
Autor: | Arho Suominen, Tuomo Kässi, Samira Ranaei, Matti Karvonen |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Engineering
Geography Planning and Development patents Automotive industry Energy Engineering and Power Technology text mining Field (computer science) Automotive engineering Technology life cycle hydrogen vehicles technology trajectories automotive technology patent analysis ta512 electric vehicles automobile industry business.industry technology forecasting Novelty Hydrogen vehicle Manufacturing engineering Alternative fuel vehicle Patent analysis Fuel Technology zero emission vehicles technology life cycle business Technology forecasting |
Zdroj: | Ranaei, S, Karvonen, M, Suominen, A & Kässi, T 2016, ' Patent-based technology forecasting: case of electric and hydrogen vehicle ', International Journal of Energy Technology and Policy, vol. 12, no. 1, pp. 20-40 . https://doi.org/10.1504/IJETP.2016.074490 |
ISSN: | 1741-508X 1472-8923 |
DOI: | 10.1504/IJETP.2016.074490 |
Popis: | The purpose of this paper is to study the evolution of emerging technological paths in the automotive industry. Worldwide patent data from the years 1990-2010 was collected and utilised to define the technological life cycles of the electric and fuel cell vehicle technologies. The novelty of our study is practicing the patent analysis approach using text mining techniques to collect patents according to their concepts in the automotive industry. The patent analysis results are compared to existing literature and expert opinion studies in alternative fuel vehicles field. The findings suggest that the development of electric vehicles will be quicker with a higher R&D share, compared to hydrogen vehicles. By gathering data and insights, the paper also offers general views on future automotive technology trajectories. |
Databáze: | OpenAIRE |
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