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Identification of the technology life cycle of telematics: A patent-based analytical perspective

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  • Chang, Shu-Hao
  • Fan, Chin-Yuan

Abstract

Identifying technology life cycles (TLCs), particularly TLCs that relate to promising technology, is crucial to managers, technological product investors, and inventors. Telematics technology has gained prevalence in the information and communication technology fields and been increasingly applied. This study determined the current TLC of telematics and investigated using a mainstream technology and development focus at each TLC stage. A supervised assessment method and the indicator pattern of current anchoring technology were employed, and a significance test of the results generated from a curve matching analysis was used to identify the TLC stages of telematics. The results revealed that telematics is in the maturity stage, and the technological focus of each of its TLC stages is distinct. At the maturity stage, telematics emphasizes wireless communication networks and diversified market applications. We assessed the development stage of telematics; governments can refer to this assessment to facilitate strategic development in technological industries.

Suggested Citation

  • Chang, Shu-Hao & Fan, Chin-Yuan, 2016. "Identification of the technology life cycle of telematics: A patent-based analytical perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 1-10.
    • Handle: RePEc:eee:tefoso:v:105:y:2016:i:c:p:1-10
    DOI: 10.1016/j.techfore.2016.01.023
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    Cited by:

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    5. Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Wang, Xiaoli & Daim, Tugrul & Huang, Lucheng & Li, Zhiqiang & Shaikh, Ruqia & Kassi, Diby Francois, 2022. "Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology," Technology in Society, Elsevier, vol. 71(C).
    7. Lin, Deming & Liu, Wenbin & Guo, Yinxin & Meyer, Martin, 2021. "Using technological entropy to identify technology life cycle," Journal of Informetrics, Elsevier, vol. 15(2).
    8. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    9. Xuan Shi & Lingfei Cai & Hongfang Song, 2019. "Discovering Potential Technology Opportunities for Fuel Cell Vehicle Firms: A Multi-Level Patent Portfolio-Based Approach," Sustainability, MDPI, vol. 11(22), pages 1-22, November.
    10. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    11. Vesselkov, Alexandr & Hämmäinen, Heikki & Töyli, Juuso, 2018. "Technology and value network evolution in telehealth," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 207-222.
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