IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v306y2023i3p1349-1363.html
   My bibliography  Save this article

To copatent or not to copatent: An agent-based model for firms facing this dilemma

Author

Listed:
  • Ponta, Linda
  • Puliga, Gloria
  • Lazzarotti, Valentina
  • Manzini, Raffaella
  • Cincotti, Silvano

Abstract

Firm performance is an important output that managers should control. Of the several perspectives taken to analyse performance within companies, innovation performance and economic performance are especially relevant. Joint patents are an important but overlooked strategy that firms can use to improve their performance. In this paper, an agent-based model and simulator (PABIM) is developed to investigate the impact of noncopatenting and copatenting strategies on economic and innovation performance. Economic performance is evaluated by observing turnover, whereas innovation performance is evaluated using the Innovation Patent Index (IPI). IPI is based on five patent features, each of them defined using machine learning algorithms. The results show that, depending on the innovation intensity of the sector, both noncopatenting and copatenting strategies can be effective to improve both the economic and innovation performance.

Suggested Citation

  • Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    • Handle: RePEc:eee:ejores:v:306:y:2023:i:3:p:1349-1363
    DOI: 10.1016/j.ejor.2022.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221722005562
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ejor.2022.07.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Masao Nakamura & John Hagedoorn & Hans van Kranenburg & Richard N. Osborn, 2003. "Joint patenting amongst companies - exploring the effects of inter-firm R&D partnering and experience," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(2-3), pages 71-84.
    2. Audretsch, David B., 1995. "Innovation, growth and survival," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 441-457, December.
    3. William Rand & Christian Stummer, 2021. "Agent‐based modeling of new product market diffusion: an overview of strengths and criticisms," Annals of Operations Research, Springer, vol. 305(1), pages 425-447, October.
    4. Teglio, Andrea & Mazzocchetti, Andrea & Ponta, Linda & Raberto, Marco & Cincotti, Silvano, 2019. "Budgetary rigour with stimulus in lean times: Policy advices from an agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 59-83.
    5. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
    6. Dahlander, Linus & Gann, David M., 2010. "How open is innovation?," Research Policy, Elsevier, vol. 39(6), pages 699-709, July.
    7. Ernst, Holger, 2001. "Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level," Research Policy, Elsevier, vol. 30(1), pages 143-157, January.
    8. Valentina Meliciani, 2000. "The relationship between R&D, investment and patents: a panel data analysis," Applied Economics, Taylor & Francis Journals, vol. 32(11), pages 1429-1437.
    9. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
    10. Antoine Dechezleprêtre & Yann Ménière & Myra Mohnen, 2017. "International patent families: from application strategies to statistical indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 793-828, May.
    11. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    12. Erica Mazzola & Manfredi Bruccoleri & Giovanni Perrone, 2012. "The Effect Of Inbound, Outbound And Coupled Innovation On Performance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-27.
    13. Delerue, Hélène, 2018. "Shadow of joint patents: Intellectual property rights sharing by SMEs in contractual R&D alliances," Journal of Business Research, Elsevier, vol. 87(C), pages 12-23.
    14. Donald C. Hambrick & Ian C. MacMillan & Ricardo R. Barbosa, 1983. "Business Unit Strategy and Changes in the Product R&D Budget," Management Science, INFORMS, vol. 29(7), pages 757-769, July.
    15. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2006. "Innovation in industrial districts: An agent-based simulation model," International Journal of Production Economics, Elsevier, vol. 104(1), pages 30-45, November.
    16. Christensen, Jens Froslev, 1995. "Asset profiles for technological innovation," Research Policy, Elsevier, vol. 24(5), pages 727-745, September.
    17. Ma, Tieju & Nakamori, Yoshiteru, 2005. "Agent-based modeling on technological innovation as an evolutionary process," European Journal of Operational Research, Elsevier, vol. 166(3), pages 741-755, November.
    18. Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
    19. Linda Ponta & Gian Carlo Cainarca & Silvano Cincotti, 2020. "Monetary Incentives in Italian Public Administration: A Stimulus for Employees? An Agent-Based Approach," Complexity, Hindawi, vol. 2020, pages 1-13, May.
    20. Jinhyo Joseph Yun & EuiSeob Jeong & YoungKyu Lee & KyungHun Kim, 2018. "The Effect of Open Innovation on Technology Value and Technology Transfer: A Comparative Analysis of the Automotive, Robotics, and Aviation Industries of Korea," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    21. John Hagedoorn, 2003. "Sharing intellectual property rights--an exploratory study of joint patenting amongst companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 12(5), pages 1035-1050, October.
    22. Linda Ponta & Silvano Cincotti, 2018. "Traders’ Networks of Interactions and Structural Properties of Financial Markets: An Agent-Based Approach," Complexity, Hindawi, vol. 2018, pages 1-9, January.
    23. Herrera-Restrepo, Oscar & Triantis, Konstantinos, 2019. "Enterprise design through complex adaptive systems and efficiency measurement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 481-497.
    24. Cristina Ponsiglione & Ivana Quinto & Giuseppe Zollo, 2018. "Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    25. Catalina Martínez, 2011. "Patent families: When do different definitions really matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 39-63, January.
    26. Laursen, Keld & Salter, Ammon J., 2014. "The paradox of openness: Appropriability, external search and collaboration," Research Policy, Elsevier, vol. 43(5), pages 867-878.
    27. Kazakov, Rossen & Howick, Susan & Morton, Alec, 2021. "Managing complex adaptive systems: A resource/agent qualitative modelling perspective," European Journal of Operational Research, Elsevier, vol. 290(1), pages 386-400.
    28. Jiang, Guoyin & Tadikamalla, Pandu R. & Shang, Jennifer & Zhao, Ling, 2016. "Impacts of knowledge on online brand success: an agent-based model for online market share enhancement," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1093-1103.
    29. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2007. "Supply chain cooperation in industrial districts: A simulation analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 261-280, February.
    30. Belderbos, René & Cassiman, Bruno & Faems, Dries & Leten, Bart & Van Looy, Bart, 2014. "Co-ownership of intellectual property: Exploring the value-appropriation and value-creation implications of co-patenting with different partners," Research Policy, Elsevier, vol. 43(5), pages 841-852.
    31. Ramesh Chandra Das, 2020. "Interplays among R&D spending, patent and income growth: new empirical evidence from the panel of countries and groups," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-22, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vincent Frigant & Stéphane Miollan & Maëlise Presse & David Virapin, 2019. "Quelles frontières géographiques pour les systèmes d’innovation technologique ?. Une analyse par les co-brevets appliquée au véhicule à pile à combustible," Innovations, De Boeck Université, vol. 0(1), pages 243-273.
    2. Vincent Frigant & Stéphane Miollan & M. Presse, 2016. "Is the Fuel Cell Vehicle’s Technological Innovation System built at a global or national scale? An analysis of carmakers' co-patents’ portfolios," Post-Print hal-02150385, HAL.
    3. Cappa, Francesco & Oriani, Raffaele & Pinelli, Michele & De Massis, Alfredo, 2019. "When does crowdsourcing benefit firm stock market performance?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    4. Schäper, Thomas & Jung, Christopher & Foege, Johann Nils & Bogers, Marcel L.A.M. & Fainshmidt, Stav & Nüesch, Stephan, 2023. "The S-shaped relationship between open innovation and financial performance: A longitudinal perspective using a novel text-based measure," Research Policy, Elsevier, vol. 52(6).
    5. Gianluca Murgia, 2021. "The impact of collaboration diversity and joint experience on the reiteration of university co-patents," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1108-1143, August.
    6. van Criekingen, Kristof & Freel, Mark & Czarnitzki, Dirk, 2021. "Open innovation deficiency: Evidence on project abandonment and delay," ZEW Discussion Papers 21-006, ZEW - Leibniz Centre for European Economic Research.
    7. Lixin Zhou & Jie Lin & Yanfeng Li & Zhenyu Zhang, 2020. "Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    8. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    9. Yindan Ye & Thomas Crispeels, 2022. "The role of former collaborations in strengthening interorganizational links: evidence from the evolution of the Chinese innovation network," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1343-1372, October.
    10. Takashi Iino & Hiroyasu Inoue & Yukiko U. Saito & Yasuyuki Todo, 2021. "How does the global network of research collaboration affect the quality of innovation?," The Japanese Economic Review, Springer, vol. 72(1), pages 5-48, January.
    11. Buss, Philipp & Peukert, Christian, 2015. "R&D outsourcing and intellectual property infringement," Research Policy, Elsevier, vol. 44(4), pages 977-989.
    12. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
    13. Yildirim, Ercan & AR, Ilker Murat & Dabić, Marina & Baki, Birdogan & Peker, Iskender, 2022. "A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach," Journal of Business Research, Elsevier, vol. 147(C), pages 379-391.
    14. Mazzola, Erica & Perrone, Giovanni & Kamuriwo, Dzidziso Samuel, 2015. "Network embeddedness and new product development in the biopharmaceutical industry: The moderating role of open innovation flow," International Journal of Production Economics, Elsevier, vol. 160(C), pages 106-119.
    15. Sengupta, Abhijit & Sena, Vania, 2020. "Impact of open innovation on industries and firms – A dynamic complex systems view," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    16. Alessandro Comai, 2020. "A new approach for detecting open innovation in patents: the designation of inventor," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1797-1822, December.
    17. Fábio Gama, 2019. "Managing collaborative ideation: the role of formal and informal appropriability mechanisms," International Entrepreneurship and Management Journal, Springer, vol. 15(1), pages 97-118, March.
    18. Mario Barchi & Marco Greco, 2018. "Negotiation in Open Innovation: A Literature Review," Group Decision and Negotiation, Springer, vol. 27(3), pages 343-374, June.
    19. Lu, Qinli & Chesbrough, Henry, 2022. "Measuring open innovation practices through topic modelling: Revisiting their impact on firm financial performance," Technovation, Elsevier, vol. 114(C).
    20. Hurmelinna-Laukkanen, Pia & Yang, Jialei, 2022. "Distinguishing between appropriability and appropriation: A systematic review and a renewed conceptual framing," Research Policy, Elsevier, vol. 51(1).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:306:y:2023:i:3:p:1349-1363. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.