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Mining research and invention activity for innovation trends: case of blockchain technology

Author

Listed:
  • Haydar Yalcin

    (Izmir Katip Celebi University)

  • Tugrul Daim

    (Portland State University)

Abstract

The blockchain was first discussed in the financial sector. However, it has been the subject of debate in many different sectors today due to several advantages such as data security, privacy, and auto control. The records that are linked together by the encryption technologies form blocks and these blocks form the blockchain. Each block has a hash code that allows its connection to the previous block. In this way, it is ensured that the subject and context can be stored without being broken. With this structure, it is possible to say that the blockchain has many advantages in data storage, organization, and management. Due to these advantages, there is an increased interest in blockchain technology both in academia and in the private sector. However, there is still a gap in blockchain information related to blockchain inventions, therefore the aim of this paper is to describe the social and intellectual structure of blockchain research over scientific papers and patent analysis. To do that, we have extracted 4502 research papers from scientific databases. Data was gathered from the Web of Science. Bibliometrics and scientometrics methods were used to analyze the data. Network theory and social network analysis metrics were used in the creation of visuals, and collaborations in the context of authors, countries, and institutions were examined. H-index, dominance ranking, and citation analysis was used to reveal the intellectual structure of the area. Our objective is to understand the current research topics, challenges, and future directions regarding Blockchain technology from the intellectual, social structure, and intellectual property perspectives. In this context, the research questions we seek to answer in our research are to stimulate theory and understanding about blockchain studies by combining the main bibliometrics indicators and patent analytics. Finally, the basic dynamics for the patenting status and commercialization of blockchain technology have been assessed in terms of developed sectors and sectors open to development. The aspects of social, intellectual, and commercialization of the area were determined through these visuals and analysis, which will help researchers and other practitioners of the field. In terms of Low Aggregate Constraint Values, it is seen that the G05D1 is the most open area for improvement in blockchain technologies. On the other hand, it has been observed that the technology class with the highest saturation level is the technologies in the field of general-purpose storage technologies and programs such as G06F1.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:5:d:10.1007_s11192-021-03876-4
    DOI: 10.1007/s11192-021-03876-4
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    2. Chand Bhatt, Priyanka & Kumar, Vimal & Lu, Tzu-Chuen & Daim, Tugrul, 2021. "Technology convergence assessment: Case of blockchain within the IR 4.0 platform," Technology in Society, Elsevier, vol. 67(C).
    3. Yalcin, Haydar & Daim, Tugrul & Moughari, Mahdieh Mokhtari & Mermoud, Alain, 2024. "Supercomputers and quantum computing on the axis of cyber security," Technology in Society, Elsevier, vol. 77(C).
    4. Kumar, Shashank & Raut, Rakesh D. & Agrawal, Nishant & Cheikhrouhou, Naoufel & Sharma, Mahak & Daim, Tugrul, 2022. "Integrated blockchain and internet of things in the food supply chain: Adoption barriers," Technovation, Elsevier, vol. 118(C).
    5. Yalcin, Haydar & Daim, Tugrul U., 2022. "Logistics, supply chain management and technology research: An analysis on the axis of technology mining," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Garza Ramos, Alejandro & Daim, Tugrul & Gaats, Lukas & Hutmacher, Dietmar W. & Hackenberger, David, 2022. "Technology roadmap for the development of a 3D cell culture workstation for a biomedical industry startup," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    8. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    9. Podrecca, Matteo & Culot, Giovanna & Tavassoli, Sam & Orzes, Guido, 2024. "Artificial intelligence for climate change: a patent analysis in the manufacturing sector," Papers in Innovation Studies 2024/12, Lund University, CIRCLE - Centre for Innovation Research.
    10. Ghaffari, Mohsen & Aliahmadi, Alireza & Khalkhali, Abolfazl & Zakery, Amir & Daim, Tugrul U. & Yalcin, Haydar, 2023. "Topic-based technology mapping using patent data analysis: A case study of vehicle tires," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. 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).

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