Abstract
Although blockchain technology was first introduced in 2008 and materialised in 2009, the early usage of blockchain were mainly limited to financial technologies, particularly cryptocurrencies. Later, blockchain became a widespread emerging technology, utilised in multifaceted sectors and applications. In fact, various new and innovative application of blockchain and distributed ledger technologies are still continuously being researched and explored. On the other hand, smart-contracts were first introduced in 1990s, however, it did not gain enough popularity until being integrated with blockchain technologies lately. The duo lately been seen as the key to many innovations in various industries and sectors. So, we took data from 1445 blockchain-related patent documents and tried to map out the historical and current trends in patenting activities in the blockchain field. This helps us get a better grasp of how blockchain technologies are evolving and being tracked. In addition to serving as an indicator of science and technology growth, patents are also used to judge the research potential and development of a particular technology.
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References
Szabo, N.: Building Blocks for Digital Markets through Smart Contracts (2018)
In Bitcoin: A Peer-to-Peer Electronic Cash Structure, Nakamoto, S. discusses the system's foundations. Cryptography Mailing list (2009). https://metzdowd.com
Miraz, M.H., Donald, D.C.: Atomic cross-chain swaps: development, trajectory and potential of digital token swap facilities. Ann. Emerg. Technol. Comput. 3(1), 42–50 (2019)
Hussain, A.A., et al.: An in-depth analysis of blockchain technology implementation in Bangladesh: a review based on existing literature. Ann. Progress. Technol. Comput. 6(1), 1–30 (2022)
Qu, Q., et al.: On spatio-temporal blockchain query. Futur. Gener. Comput. Syst. 98, 208–218 (2019)
Chernov, A., Chernova, V.: Global blockchain technology market analysis-current situations and forecast. In: Economic and Social Development: Book of Proceedings, pp. 143–152 (2018)
Dylan, Y., et al.: Blockchain Technology Overview. NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD (2018)
Xu, M., Chen, X., Kou, G.: A systematic review of blockchain. Financ. Innov. 5(1), 27 (2019)
Zhang, Y., et al.: Fluorene-centered perylene monoimides as potential non-fullerene acceptor in organic solar cells. Org. Electron. 21, 184–191 (2015)
Zheng, Z., et al.: An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress) (2017)
Foroglou, G., Tsilidou, A.-L.: Further applications of the blockchain. In: 12th Student Conference on Managerial Science and Technology (2015)
Gao, F., et al.: A blockchain-based privacy-preserving payment mechanism for vehicle-to-grid networks. IEEE Network 32(6), 184–192 (2018)
Peters, G.W., Panayi, E., Chapelle, A.: Crypto-currencies trends and blockchain technologies: A monetary theory and regulation perspective. arXiv preprint arXiv:1508.04364 (2015)
Kosba, A., et al.: Hawk: The blockchain model of cryptography and privacy-preserving smart contracts. In: 2016 IEEE Symposium on Security and Privacy (SP) (2016)
Akins, B.W., Chapman, J.L., Gordon, J.M.: A whole new world: Income tax considerations of the Bitcoin economy. Pitt. Tax Rev. 12, 25 (2014)
Kravitz, D.W., Cooper, J.: Securing user identity and transactions symbiotically: IoT meets blockchain. In: 2017 Global Internet of Things Summit (GIoTS) (2017)
Noyes, C., Bitav: Fast anti-malware by distributed blockchain consensus and feedforward scanning. arXiv preprint arXiv:1601.01405 (2016)
Kuo, T.-T., Kim, H.-E., Ohno-Machado, L.: Blockchain distributed ledger technologies for biomedical and health care applications. J. Am. Med. Inform. Assoc. 24(6), 1211–1220 (2017)
Mettler, M.: Blockchain technology in healthcare: the revolution starts here. In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom) (2016)
Witchey, N.J.: Healthcare transaction validation via blockchain, systems and methods. Google Patents (2019)
Abeyratne, S.A., Monfared, R.P.: Blockchain ready manufacturing supply chain using distributed ledger. Int. J. Res. Eng. Technol. 05, 1–10 (2016)
Korpela, K., Hallikas, J., Dahlberg, T.: Digital supply chain transformation toward blockchain integration (2017)
Moosavi, J., et al.: Blockchain in supply chain management: a review, bibliometric, and network analysis. Env. Sci. Pollut. Res. 1–15 (2021)
Tian, F.: An agri-food supply chain traceability system for China based on RFID & blockchain technology. In: 2016 13th international conference on service systems and service management (ICSSSM). IEEE (2016)
Turk, Ž, Klinc, R.: Potentials of blockchain technology for construction management. Procedia Eng. 196, 638–645 (2017)
Casino, F., Dasaklis, T.K., Patsakis, C.: A systematic literature review of blockchain-based applications: current status, classification and open issues. Telematics Inform. 36, 55–81 (2019)
Adamuthe, A.C., Thampi, G.T.: Technology forecasting: a case study of computational technologies. Technol. Forecast. Soc. Chang. 143, 181–189 (2019)
Altuntas, S., Dereli, T., Kusiak, A.: Forecasting technology success based on patent data. Technol. Forecast. Soc. Chang. 96, 202–214 (2015)
Abbas, A., Zhang, L., Khan, S.U.: A literature review on the state-of-the-art in patent analysis. World Patent Inf. 37, 3–13 (2014)
Baumann, M., et al.: Comparative patent analysis for the identification of global research trends for the case of battery storage, hydrogen and bioenergy. Technol. Forecast. Soc. Chang. 165, 120505 (2021)
Cho, Y., Daim, T.: Technology forecasting methods, in research and technology management in the electricity industry: methods, tools and case studies, In: Daim, T., Oliver, T., Kim, J. (eds.), pp. 67–112. Springer, London (2013)
Choi, J., et al.: A study on the patent analysis for effective technology forecasting. In: Proceedings – ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology, pp. 88–91. [6269232] (Proceedings – ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology; vol. 1) (2012)
Dou, H., et al.: Patent analysis for competitive technical intelligence and innovative thinking. Data Sci. J. 4, 209–236 (2005). https://doi.org/10.2481/dsj.4.209
Firat, A., Woon, W., Madnick, S.: Technological forecasting–A review. Composite Information Systems Laboratory (CISL). Massachusetts Institute of Technology (2008)
Li, X., et al.: Forecasting technology trends using text mining of the gaps between science and technology: the case of perovskite solar cell technology. Technol. Forecast. Soc. Chang. 146, 432–449 (2019)
Choi, Y., Hong, S.: Qualitative and quantitative analysis of patent data in nanomedicine for bridging the gap between research activities and practical applications. World Patent Inf. 60, 101943 (2020)
Geum, Y., et al.: Technological convergence of IT and BT: evidence from patent analysis. ETRI J. 34(3), 439–449 (2012)
Trappey, C.V., et al.: Using patent data for technology forecasting: China RFID patent analysis. Adv. Eng. Inform. 25(1), 53–64 (2011)
Bamakan, S.M.H., et al.: Blockchain technology forecasting by patent analytics and text mining. Blockchain: Rese. Appl. 2(2), 100019 (2021). https://doi.org/10.1016/j.bcra.2021.100019
Yang, C.B.: Role of patent analysis in corporate R&D. Pharm. Pat. Anal. 1(1), 5–7 (2012)
Yoon, B., Park, Y.: Development of new technology forecasting algorithm: hybrid approach for morphology analysis and conjoint analysis of patent information. IEEE Trans. Eng. Manage. 54, 588–599 (2007)
Acknowledgement
This work was funded by Xiamen University Malaysia Research Fund (XMUMRF) under grant numbers XMUMRF/2021-C8/IECE/0025 and XMUMRF/2022‐C10/IECE/0043.
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Tareq, M.A., Tripathi, P., Issa, N.M., Miraz, M.H. (2024). Exploring the Emerging Technologies Within the Blockchain Landscape. In: Miraz, M.H., Southall, G., Ali, M., Ware, A. (eds) Emerging Technologies in Computing. iCETiC 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-031-50215-6_13
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DOI: https://doi.org/10.1007/978-3-031-50215-6_13
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