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Knowledge Flow Determinants of Patent Value: Evidence from Taiwan and South Korea Biotechnology Patents

Author

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  • Ming-Yeu Wang

    (Department of BioBusiness Management, National Chiayi University, 580 Sinmin Rd., Chiayi City 60054, Taiwan, Republic of China)

  • Hsien-Chen Lo

    (Institute of Technology Management, National Tsing Hua University, No. 101, Section 2 Guangfu Road, East District, Hsinchu, Taiwan, Republic of China)

  • Yu-Yin Liao

    (Department of BioBusiness Management, National Chiayi University, 580 Sinmin Rd., Chiayi City 60054, Taiwan, Republic of China)

Abstract

Patents are important knowledge assets that enable firms to compete successfully and earn returns. To control spending on patent renewal fees, firms carefully analyze the value of their patents to determine whether patent rights need to be maintained, thereby rendering renewal decisions an opportunity to examine patent values. This study incorporates social network analysis and traditional patent indicators to empirically investigate the determinants affecting patent valuation by firms and research institutes in the Taiwanese and South Korean biotechnology industries. Results indicate that firms and research institutes value their patents differently. Certain indicators derived from knowledge flow and traditional patent indicators significantly affect patent value. Based on the findings, this study provides suggestions for policy-making.

Suggested Citation

  • Ming-Yeu Wang & Hsien-Chen Lo & Yu-Yin Liao, 2015. "Knowledge Flow Determinants of Patent Value: Evidence from Taiwan and South Korea Biotechnology Patents," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-18.
    • Handle: RePEc:wsi:ijitmx:v:12:y:2015:i:03:n:s0219877015400040
    DOI: 10.1142/S0219877015400040
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    Cited by:

    1. Bongini, Paola & Osborne, Francesco & Pedrazzoli, Alessia & Rossolini, Monica, 2022. "A topic modelling analysis of white papers in security token offerings: Which topic matters for funding?," Technological Forecasting and Social Change, Elsevier, vol. 184(C).

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