IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v196y2023ics0040162523005498.html
   My bibliography  Save this article

Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories

Author

Listed:
  • Bhatt, Priyanka C.
  • Lai, Kuei-Kuei
  • Drave, Vinayak A.
  • Lu, Tzu-Chuen
  • Kumar, Vimal

Abstract

The technological innovation period has reduced drastically in the current era giving rise to constantly new disruptive technologies, which may seem discreet; however, their evolution is also derived from the previous technological path. This study aims to identify the technology trajectory and evolution phases of disruptive technology, Blockchain, with respect to its predecessor technologies. Within the context of disruptive innovation theory, patent citation analysis employing the key-route main path method was utilized for this study. The data collection was based on keywords and IPC codes to retrieve US patents from the webpat database. The data obtained included 10,919 initial patents and 6206 final patents after simple family merge. The results acquired ranged from the year 1974 to 2021. The study identified five significant technology clusters based on the key-route main path analysis and framed the evolution path of the technology. The findings reveal the technological path dependence and knowledge flow of technological innovation. The novelty of this study lies in its approach to mapping DI theory characteristics with patent analysis to identify the path dependence of disruptive innovations, which aids researchers and decision-makers in understanding and assessing their innovation strategies.

Suggested Citation

  • Bhatt, Priyanka C. & Lai, Kuei-Kuei & Drave, Vinayak A. & Lu, Tzu-Chuen & Kumar, Vimal, 2023. "Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005498
    DOI: 10.1016/j.techfore.2023.122864
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523005498
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122864?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. Yu-Shan Chen, 2011. "Using patent analysis to explore corporate growth," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 433-448, August.
    2. Gu, Jianqiang & Gouliamos, Kostas & Lobonţ, Oana-Ramona & Nicoleta-Claudia, Moldovan, 2021. "Is the fourth industrial revolution transforming the relationship between financial development and its determinants in emerging economies?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    3. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    4. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    5. Daim, Tugrul & Lai, Kuei Kuei & Yalcin, Haydar & Alsoubie, Fayez & Kumar, Vimal, 2020. "Forecasting technological positioning through technology knowledge redundancy: Patent citation analysis of IoT, cybersecurity, and Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    7. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    8. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    9. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    10. Jee, Su Jung & Kwon, Minji & Ha, Jung Moon & Sohn, So Young, 2019. "Exploring the forward citation patterns of patents based on the evolution of technology fields," Journal of Informetrics, Elsevier, vol. 13(4).
    11. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    12. Wang, Chun-Chieh & Sung, Hui-Yun & Chen, Dar-Zen & Huang, Mu-Hsuan, 2017. "Strong ties and weak ties of the knowledge spillover network in the semiconductor industry," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 114-127.
    13. Bart Verspagen, 2007. "Mapping Technological Trajectories As Patent Citation Networks: A Study On The History Of Fuel Cell Research," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 93-115.
    14. Oscar Rodríguez-Espíndola & Soumyadeb Chowdhury & Ahmad Beltagui & Pavel Albores, 2020. "The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4610-4630, July.
    15. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    16. Shih-Chang Hung & John S. Liu & Louis Y. Y. Lu & Yu-Chiang Tseng, 2014. "Technological change in lithium iron phosphate battery: the key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 97-120, July.
    17. Abdel-Basset, Mohamed & Chang, Victor & Nabeeh, Nada A., 2021. "An intelligent framework using disruptive technologies for COVID-19 analysis," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    18. Reinhardt, Ronny & Gurtner, Sebastian, 2018. "The overlooked role of embeddedness in disruptive innovation theory," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 268-283.
    19. Schuelke-Leech, Beth-Anne, 2018. "A model for understanding the orders of magnitude of disruptive technologies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 261-274.
    20. Rico Lee-Ting Cho & John S. Liu & Mei Hsiu-Ching Ho, 2021. "The development of autonomous driving technology: perspectives from patent citation analysis," Transport Reviews, Taylor & Francis Journals, vol. 41(5), pages 685-711, September.
    21. Clayton M. Christensen & Efosa Ojomo & Gabrielle Daines Gay & Philip E. Auerswald, 2019. "The Third Answer: How Market-Creating Innovation Drives Economic Growth and Development," Innovations: Technology, Governance, Globalization, MIT Press, vol. 12(3-4), pages 10-26, Winter-Sp.
    22. Benzidia, Smaïl & Luca, Ruxandra Monica & Boiko, Sergiy, 2021. "Disruptive innovation, business models, and encroachment strategies: Buyer's perspective on electric and hybrid vehicle technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    23. Peter Dombrowski & Eugene Gholz, 2009. "Identifying Disruptive Innovation: Innovation Theory and the Defense Industry," Innovations: Technology, Governance, Globalization, MIT Press, vol. 4(2), pages 101-117, April.
    24. Liu, Jiajia & Li, Xuerong & Wang, Shouyang, 2020. "What have we learnt from 10 years of fintech research? a scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    25. Wu, Ching-Yan & Mathews, John A., 2012. "Knowledge flows in the solar photovoltaic industry: Insights from patenting by Taiwan, Korea, and China," Research Policy, Elsevier, vol. 41(3), pages 524-540.
    26. Hultman, Johan & Corvellec, Hervé & Jerneck, Anne & Arvidsson, Susanne & Ekroos, Johan & Gustafsson, Clara & Lundh Nilsson, Fay & Wahlberg, Niklas, 2021. "A resourcification manifesto: Understanding the social process of resources becoming resources," Research Policy, Elsevier, vol. 50(9).
    27. Kenneth G Huang & Jiatao Li, 2019. "Adopting knowledge from reverse innovations? Transnational patents and signaling from an emerging economy," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(7), pages 1078-1102, September.
    28. Catalina Martínez, 2011. "Patent families: When do different definitions really matter?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 39-63, January.
    29. Choe, Hochull & Lee, Duk Hee & Seo, Il Won & Kim, Hee Dae, 2013. "Patent citation network analysis for the domain of organic photovoltaic cells: Country, institution, and technology field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 492-505.
    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. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
    2. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
    3. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
    4. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    5. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    6. Alessandri, Enrico, 2023. "Identifying technological trajectories in the mining sector using patent citation networks," Resources Policy, Elsevier, vol. 80(C).
    7. Ichiro Watanabe & Soichiro Takagi, 2021. "Technological Trajectory Analysis of Patent Citation Networks: Examining the Technological Evolution of Computer Graphic Processing Systems," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 1-25, June.
    8. Ichiro Watanabe & Soichiro Takagi, 2022. "NK model-based analysis of technological trajectories: a study on the technological field of computer graphic processing systems," Evolutionary and Institutional Economics Review, Springer, vol. 19(1), pages 119-140, April.
    9. Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
    10. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    11. Xiaorui Jiang & Junjun Liu, 2023. "Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 546-569, May.
    12. Kim, Erin H.J. & Jeong, Yoo Kyung & Kim, YongHwan & Song, Min, 2022. "Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction," Journal of Informetrics, Elsevier, vol. 16(1).
    13. Chen, Liang & Xu, Shuo & Zhu, Lijun & Zhang, Jing & Xu, Haiyun & Yang, Guancan, 2022. "A semantic main path analysis method to identify multiple developmental trajectories," Journal of Informetrics, Elsevier, vol. 16(2).
    14. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2020. "The overlooked citations: Investigating the impact of ignoring citations to published patent applications," Journal of Informetrics, Elsevier, vol. 14(1).
    15. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    16. Lai, Kuei-Kuei & Chen, Yu-Long & Kumar, Vimal & Daim, Tugrul & Verma, Pratima & Kao, Fang-Chen & Liu, Ruirong, 2023. "Mapping technological trajectories and exploring knowledge sources: A case study of E-payment technologies," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    17. 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.
    18. 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.
    19. Shih-Chang Hung & John S. Liu & Louis Y. Y. Lu & Yu-Chiang Tseng, 2014. "Technological change in lithium iron phosphate battery: the key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 97-120, July.
    20. Qu, Guannan & Chen, Jin & Zhang, Ruhao & Wang, Luyao & Yang, Yayu, 2023. "Technological search strategy and breakthrough innovation: An integrated approach based on main-path analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    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:tefoso:v:196:y:2023:i:c:s0040162523005498. 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.sciencedirect.com/science/journal/00401625 .

    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.