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Emerging firms in an emerging field: an analysis of patent citations in electronic-paper display technology

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  • Show-Ling Jang

    (College of Social Sciences, National Taiwan University)

  • Yun-Chen Yu

    (College of Social Sciences, National Taiwan University)

  • Tzu-Ya Wang

    (College of Social Sciences, National Taiwan University)

Abstract

USPTO patent data covering the years 1994–2008 is used in this study to examine the citation networks of electronic-paper display technology. Our primary aim is to provide a better understanding of the ways in which emerging firms interact with, and learn from, technology diffusers. Two implications can be drawn from our analysis. Firstly, emerging firms within an emerging industry can enhance their technological capabilities through positive external learning activity. Secondly, despite the fact that technology diffusers have clear technological advantages, with the emergence of a new field, their influence within the network could potentially be decayed if they fail to remain proactive in terms of the absorption of available external knowledge.

Suggested Citation

  • Show-Ling Jang & Yun-Chen Yu & Tzu-Ya Wang, 2011. "Emerging firms in an emerging field: an analysis of patent citations in electronic-paper display technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 259-272, October.
    • Handle: RePEc:spr:scient:v:89:y:2011:i:1:d:10.1007_s11192-011-0448-0
    DOI: 10.1007/s11192-011-0448-0
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    References listed on IDEAS

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    4. Show-Ling Jang & Shihmin Lo & Wen Hao Chang, 2009. "How do latecomers catch up with forerunners? Analysis of patents and patent citations in the field of flat panel display technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 563-591, June.
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    Cited by:

    1. Yuandi Wang & Xiongfeng Pan & Yantai Chen & Xin Gu, 2013. "Do references in transferred patent documents signal learning opportunities for the receiving firms?," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 731-752, May.
    2. Ansgar Moeller & Martin G. Moehrle, 2015. "Completing keyword patent search with semantic patent search: introducing a semiautomatic iterative method for patent near search based on semantic similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 77-96, January.
    3. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    4. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    5. Yuandi Wang & Jason Li-Ying, 2014. "How do the BRIC countries play their roles in the global innovation arena? A study based on USPTO patents during 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1065-1083, February.
    6. Hamidreza Eslami & Ashkan Ebadi & Andrea Schiffauerova, 2013. "Effect of collaboration network structure on knowledge creation and technological performance: the case of biotechnology in Canada," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 99-119, October.
    7. Jason Li-Ying & Yuandi Wang & Søren Salomo & Wim Vanhaverbeke, 2013. "Have Chinese firms learned from their prior technology in-licensing? An analysis based on patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 183-195, April.

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