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Exploring Technology Evolution Using Patent Classification: A Case of Cochlear Implant Technology Patents

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  • Srigowtham Arunagiri

    (Department of Management Studies, Indian Institute of Science, Bangalore 560012, Karnataka, India)

  • Mary Mathew

    (Techlink, Toronto, Canada)

Abstract

Understanding technology evolution through periodic landscaping is an important stage of strategic planning in R&D management. In fields like that of healthcare, where initial R&D investment is huge and good medical products serve patients better, activities of periodic landscaping become crucial for planning. Approximately 5% of the world’s population has hearing disabilities. Current hearing aid products meet less than 10% of the global needs. Patent data and classifications on cochlear implants from 1977–2010 show the technology evolution in the area of such an implant. We attempt to highlight emergence and disappearance of patent classes over a period of time indicating changes in growth of cochlear implant technologies. Using network analysis technique we explore and capture the technology evolution in patent classes by showing what emerged or disappeared over time. Dominant classes are identified. The sporadic influence of university research in cochlear implants is also discussed.

Suggested Citation

  • Srigowtham Arunagiri & Mary Mathew, 2017. "Exploring Technology Evolution Using Patent Classification: A Case of Cochlear Implant Technology Patents," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(01), pages 1-19, February.
  • Handle: RePEc:wsi:ijitmx:v:14:y:2017:i:01:n:s0219877017400028
    DOI: 10.1142/S0219877017400028
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    References listed on IDEAS

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    1. Pao-Long Chang & Chao-Chan Wu & Hoang-Jyh Leu, 2010. "Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 5-19, January.
    2. Han, Yoo-Jin & Park, Yongtae, 2006. "Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries," World Patent Information, Elsevier, vol. 28(3), pages 235-247, September.
    3. Pier P. Saviotti, 1996. "Technological Evolution, Variety and the Economy," Books, Edward Elgar Publishing, number 727.
    4. Lee, Kyungpyo & Lee, Sungjoo, 2013. "Patterns of technological innovation and evolution in the energy sector: A patent-based approach," Energy Policy, Elsevier, vol. 59(C), pages 415-432.
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