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What do patent-based measures tell us about product commercialization? Evidence from the pharmaceutical industry

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Cited by:

  1. Wagner, Stefan & Sternitzke, Christian & Walter, Sascha, 2022. "Mapping Markush," Research Policy, Elsevier, vol. 51(10).
  2. Mariia Shkolnykova, 2021. "On the way from invention to innovation: the role of applicant and inventor team characteristics," Bremen Papers on Economics & Innovation 2110, University of Bremen, Faculty of Business Studies and Economics.
  3. Bel, Germà & Joseph, Stephan, 2018. "Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector," Energy Policy, Elsevier, vol. 117(C), pages 434-444.
  4. Hu, Mei-Ying & Lu, You-Xun & Lai, Ching-chong, 2023. "Patent term extensions and commercialization lags in the pharmaceutical industry: A growth-theoretic analysis," Journal of Macroeconomics, Elsevier, vol. 76(C).
  5. Qin Ye, 2021. "The impact of knowledge depth and breadth on the geography of analytical industry technological networks: Evidence from China’s biotechnology industry," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2238-2255, December.
  6. Fabian Gaessler & Stefan Wagner, 2022. "Patents, Data Exclusivity, and the Development of New Drugs," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 571-586, May.
  7. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
  8. Thakur-Wernz, Pooja & Bruyaka, Olga & Contractor, Farok, 2020. "Antecedents and relative performance of sourcing choices for new product development projects," Technovation, Elsevier, vol. 90.
  9. Billette de Villemeur, Etienne & Ruble, Richard & Versaevel, Bruno, 2019. "Dynamic competition and intellectual property rights in a model of product development," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 270-296.
  10. Shaobo Li & Jie Hu & Yuxin Cui & Jianjun Hu, 2018. "DeepPatent: patent classification with convolutional neural networks and word embedding," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 721-744, November.
  11. Achim Walter & Nicole Coviello & Monika Sienknecht & Thomas Ritter, 2024. "Leveraging the Lab: How Pre-Founding R&D Collaboration Influences the Internationalization Timing of Academic Spin-Offs," Entrepreneurship Theory and Practice, , vol. 48(1), pages 71-103, January.
  12. Watal, Jayashree & Dai, Rong, 2019. "Product patents and access to innovative medicines in a post-trips-era," WTO Staff Working Papers ERSD-2019-05, World Trade Organization (WTO), Economic Research and Statistics Division.
  13. Wang, Xiaozhen & Zou, Honghui, 2018. "Study on the effect of wind power industry policy types on the innovation performance of different ownership enterprises: Evidence from China," Energy Policy, Elsevier, vol. 122(C), pages 241-252.
  14. Moaniba, Igam M. & Lee, Pei-Chun & Su, Hsin-Ning, 2020. "How does external knowledge sourcing enhance product development? Evidence from drug commercialization," Technology in Society, Elsevier, vol. 63(C).
  15. Catalina Martinez & Pluvia Zuniga, 2017. "Contracting for technology transfer: patent licensing and know-how in Brazil," Industry and Innovation, Taylor & Francis Journals, vol. 24(6), pages 659-689, August.
  16. Piperopoulos, Panagiotis & Wu, Jie & Wang, Chengqi, 2018. "Outward FDI, location choices and innovation performance of emerging market enterprises," Research Policy, Elsevier, vol. 47(1), pages 232-240.
  17. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  18. Yuanyuan Dong & Zepeng Wei & Tiansen Liu & Xinpeng Xing, 2020. "The Impact of R&D Intensity on the Innovation Performance of Artificial Intelligence Enterprises-Based on the Moderating Effect of Patent Portfolio," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
  19. Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
  20. Dai, Rong & Watal, Jayashree, 2021. "Product patents and access to innovative medicines," Social Science & Medicine, Elsevier, vol. 291(C).
  21. Caviggioli, Federico & De Marco, Antonio & Montobbio, Fabio & Ughetto, Elisa, 2020. "The licensing and selling of inventions by US universities," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  22. Kravtsov, A., 2017. "Development of the Patent-Based Researches on Innovation Processes: Analytic Review," Journal of the New Economic Association, New Economic Association, vol. 35(3), pages 144-167.
  23. Zhenfu Li & Yixuan Wang & Zhao Deng, 2022. "Research on Evolution Characteristics and Factors of Nordic Green Patent Citation Network," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
  24. Hassan Heidari & Arash Refah Kahriz & Yousef Mohammadzadeh, 2019. "Stock market behavior of pharmaceutical industry in Iran and macroeconomic factors," Economic Change and Restructuring, Springer, vol. 52(3), pages 255-277, August.
  25. Wang, Chengqi & Piperopoulos, Panagiotis & Chen, Shihua & Ming, Alan Au Kai & Herbert, Kendall, 2022. "Outward FDI and Innovation Performance of Chinese Firms: Why Can Home-Grown Political Ties Be A Liability?," Journal of World Business, Elsevier, vol. 57(3).
  26. Yang, Guancan & Lu, Guoxuan & Xu, Shuo & Chen, Liang & Wen, Yuxin, 2023. "Which type of dynamic indicators should be preferred to predict patent commercial potential?," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  27. Li, Kai & Yan, Yaxue & Zhang, Xiaoling, 2021. "Carbon-abatement policies, investment preferences, and directed technological change: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
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