Forecasting emerging technologies of low emission vehicle

S Ranaei, M Karvonen, Arho Suominen, T Kässi

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)

Abstract

The aim of this paper is to propose a patent search strategy in the case of emerging technology fields and to study the development patterns of the low emission vehicle (LEV) technologies. An Automatic Patent Classification (APC) system has been developed based on text mining techniques to facilitate the patent retrieval process. The data was collected from the Global Patent Index (GPI) database, and interviews were conducted to involve experts' opinions. The technology forecasting method utilized the collected patent data to define the technological life cycles of LEV technology. The growth curves estimates steady growth in LEV technologies including hybrid and battery electronic vehicles, and appar- ently reaching the saturation point in few decades is inevitable. Plus, patenting activity of hydrogen fuel cell vehicle technology was experiencing the infancy period so far, and further it is anticipated to reach higher growth rate in line with other energy alternatives. The proposed method can help patent researchers in terms of retrieving accurate patents based on their technology target. Moreover, the technology forecasting techniques provide an insight to investors, assisting them to allocate their resources properly. The results can benefit car industry stakeholders to anticipate the most promising technology areas in an uncertain dynamic market
Original languageEnglish
Title of host publicationProceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages2924-2937
ISBN (Electronic)978-1-890843-29-8
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventPortland International Conference on Management of Engineering & Technology, PICMET 2014 - Kanazawa, Japan
Duration: 27 Jul 201431 Jul 2014

Conference

ConferencePortland International Conference on Management of Engineering & Technology, PICMET 2014
Abbreviated titlePICMET 2014
CountryJapan
CityKanazawa
Period27/07/1431/07/14

Fingerprint

Hydrogen fuels
Fuel cells
Life cycle
Railroad cars
Industry

Keywords

  • Patents
  • vehicles
  • market research
  • industries
  • technology forecasting
  • search problems
  • hydrogen

Cite this

Ranaei, S., Karvonen, M., Suominen, A., & Kässi, T. (2014). Forecasting emerging technologies of low emission vehicle. In Proceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration (pp. 2924-2937). Institute of Electrical and Electronic Engineers IEEE.
Ranaei, S ; Karvonen, M ; Suominen, Arho ; Kässi, T. / Forecasting emerging technologies of low emission vehicle. Proceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. Institute of Electrical and Electronic Engineers IEEE, 2014. pp. 2924-2937
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Ranaei, S, Karvonen, M, Suominen, A & Kässi, T 2014, Forecasting emerging technologies of low emission vehicle. in Proceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. Institute of Electrical and Electronic Engineers IEEE, pp. 2924-2937, Portland International Conference on Management of Engineering & Technology, PICMET 2014, Kanazawa, Japan, 27/07/14.

Forecasting emerging technologies of low emission vehicle. / Ranaei, S; Karvonen, M; Suominen, Arho; Kässi, T.

Proceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. Institute of Electrical and Electronic Engineers IEEE, 2014. p. 2924-2937.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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N2 - The aim of this paper is to propose a patent search strategy in the case of emerging technology fields and to study the development patterns of the low emission vehicle (LEV) technologies. An Automatic Patent Classification (APC) system has been developed based on text mining techniques to facilitate the patent retrieval process. The data was collected from the Global Patent Index (GPI) database, and interviews were conducted to involve experts' opinions. The technology forecasting method utilized the collected patent data to define the technological life cycles of LEV technology. The growth curves estimates steady growth in LEV technologies including hybrid and battery electronic vehicles, and appar- ently reaching the saturation point in few decades is inevitable. Plus, patenting activity of hydrogen fuel cell vehicle technology was experiencing the infancy period so far, and further it is anticipated to reach higher growth rate in line with other energy alternatives. The proposed method can help patent researchers in terms of retrieving accurate patents based on their technology target. Moreover, the technology forecasting techniques provide an insight to investors, assisting them to allocate their resources properly. The results can benefit car industry stakeholders to anticipate the most promising technology areas in an uncertain dynamic market

AB - The aim of this paper is to propose a patent search strategy in the case of emerging technology fields and to study the development patterns of the low emission vehicle (LEV) technologies. An Automatic Patent Classification (APC) system has been developed based on text mining techniques to facilitate the patent retrieval process. The data was collected from the Global Patent Index (GPI) database, and interviews were conducted to involve experts' opinions. The technology forecasting method utilized the collected patent data to define the technological life cycles of LEV technology. The growth curves estimates steady growth in LEV technologies including hybrid and battery electronic vehicles, and appar- ently reaching the saturation point in few decades is inevitable. Plus, patenting activity of hydrogen fuel cell vehicle technology was experiencing the infancy period so far, and further it is anticipated to reach higher growth rate in line with other energy alternatives. The proposed method can help patent researchers in terms of retrieving accurate patents based on their technology target. Moreover, the technology forecasting techniques provide an insight to investors, assisting them to allocate their resources properly. The results can benefit car industry stakeholders to anticipate the most promising technology areas in an uncertain dynamic market

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Ranaei S, Karvonen M, Suominen A, Kässi T. Forecasting emerging technologies of low emission vehicle. In Proceedings of PICMET '14 Conference: Portland International Center for Management of Engineering and Technology; Infrastructure and Service Integration. Institute of Electrical and Electronic Engineers IEEE. 2014. p. 2924-2937