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A framework for assessing a portfolio of technologies for licensing out

Author

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  • Santiago, Leonardo P.
  • Martinelli, Marcela
  • Eloi-Santos, Daniel T.
  • Hortac, Luciana Hashiba

Abstract

Companies invest in R&D to create and exploit new opportunities. In recent years, leading innovative companies have attempted to establish a market for technologies and create leveraging opportunities through such markets. In this paper, we consider the question of how a firm can evaluate its patent portfolio for licensing purposes. To this end, we propose an approach that enables large corporations to scrutinize their portfolio of (patented) technologies and to subsequently set up royalty rate values to support the negotiation process of a particular technology. We use case-based research to develop our approach, which we illustrate with an in-depth assessment of 50 technologies. We conclude by discussing the pros and cons of our approach and its potential generalization to other companies and considering how it can be used to indicate value drivers for R&D strategy.

Suggested Citation

  • Santiago, Leonardo P. & Martinelli, Marcela & Eloi-Santos, Daniel T. & Hortac, Luciana Hashiba, 2015. "A framework for assessing a portfolio of technologies for licensing out," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 242-251.
    • Handle: RePEc:eee:tefoso:v:99:y:2015:i:c:p:242-251
    DOI: 10.1016/j.techfore.2015.07.001
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    Cited by:

    1. Gupta, Nitish & Park, Hyunkyu & Phaal, Rob, 2022. "The portfolio planning, implementing, and governing process: An inductive approach," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Shen, Huijun & Coreynen, Wim & Huang, Can, 2023. "Prestige and technology-transaction prices: Evidence from patent-selling by Chinese universities," Technovation, Elsevier, vol. 123(C).
    3. Li, Shuying & Zhang, Xian & Xu, Haiyun & Fang, Shu & Garces, Edwin & Daim, Tugrul, 2020. "Measuring strategic technological strength :Patent Portfolio Model," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    4. Mendi, Pedro & Moner-Colonques, Rafael & Sempere-Monerris, José J., 2020. "Cooperation for innovation and technology licensing: Empirical evidence from Spain," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    5. Noh, Heeyong & Seo, Ju-Hwan & Sun Yoo, Hyoung & Lee, Sungjoo, 2018. "How to improve a technology evaluation model: A data-driven approach," Technovation, Elsevier, vol. 72, pages 1-12.

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