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Journal ArticleDOI: 10.1007/S11192-021-03876-4

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

02 Mar 2021-Scientometrics (Springer International Publishing)-Vol. 126, Iss: 5, pp 3775-3806
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.

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Topics: Blockchain (62%), Bibliometrics (51%), Scientometrics (51%)
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Open accessJournal ArticleDOI: 10.3390/SU13147585
Yunmei Liu1, Shuai Zhang1, Min Chen2, Yenchun Jim Wu  +1 moreInstitutions (3)
02 Jul 2021-Sustainability
Abstract: Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

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Topics: FinTech (60%), Blockchain (56%), Financial innovation (53%)

4 Citations


Journal ArticleDOI: 10.1016/J.TECHSOC.2021.101709
Priyanka C. Bhatt1, Vimal Kumar1, Tzu-Chuen Lu1, Tugrul U. Daim2  +1 moreInstitutions (2)
Abstract: Technological evolutions are leveraged by organizations to assess and formulate their strategic goals for achieving market dominance. Disruptive technologies have challenged organizations to address and transform their technological infrastructure and operational processes anew based on the market dynamics. Blockchain is considered as the disruptive technology of the decade, which has led incumbents to reassess their business models. Various applications of Blockchain have been explored by previous researchers. However, fourth industrial revolution (IR 4.0) technologies have also paved way towards the disruptive technological landscape. The purpose of this research is to identify the convergence across Blockchain and IR 4.0 technologies. This research conducts the bibliometric analysis approach, including performance analysis and network analysis to identify the research trends and themes for the convergence of select technologies. The results indicate four major thematic clusters for the convergence trends with basic, established, niche, and emerging technologies. Furthermore, the citation analysis reveals four clusters based on basic Blockchain technology domain, Blockchain and IR 4.0 technology domains, supply chain management (SCM), and healthcare applications of the convergence of select technologies. This article provides a novel approach by identifying the bibliometric trends across the concept of technological convergence of Blockchain and IR 4.0 technologies.

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2 Citations



Open accessPosted Content
Abstract: Significant attention in the financial industry has paved the way for blockchain technology to spread across other industries, resulting in a plethora of literature on the subject. This study approaches the subject through bibliometrics and network analysis of 6790 records extracted from the Web of Science from 2014-2020 based on blockchain. This study asserts (i) the impact of open access publication on the growth and visibility of literature, (ii) the collaboration patterns and impact of team size on collaboration, (iii) the ranking of countries based on their national and international collaboration, and (iv) the major themes in the literature through thematic analysis. Based on the significant momentum gained by the blockchain, the trend of open access publications has increased 1.5 times than no open access in 2020. This analysis articulates the numerous potentials of blockchain literature and its adoption by various countries and their authors. China and the USA are the top leaders in the field and applied blockchain more with smart contracts, supply chain, and internet of things. Also, results show that blockchain has attracted the attention of less than 1% of authors who have contributed to multiple works on the blockchain and authors also preferred to work in teams smaller in size.

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Topics: Blockchain (61%), Bibliometrics (51%)

Journal ArticleDOI: 10.1007/S11356-021-15298-Z
Xueguo Xu1, Meizeng Gui2Institutions (2)
Abstract: Technology prediction is an important technique to help new energy vehicle (NEV) firms keep market advantage and sustainable development. Under fierce competition in the new energy industry, there is an urgent necessity for innovative technology prediction method to effectively identify core and frontier technologies for NEV firms. Among the various methods of technology prediction, one of the most frequently used methods is to make technology prediction from patent data. This paper synthesizes the frequent pattern growth (FP-growth) algorithm and input-output analysis to construct a new technology prediction method based on the knowledge flow perspective, takes the data of NEV patent family in 1989–2018 the Derwent patent database as a sample, divides the data according to the 5-year standard, and uses the method to identify the core and frontier technologies in the NEV field during different periods. Furthermore, the multiple co-occurrence method applies to analyze the technology layout and evolution patterns in China’s NEV field. The results show that the technology prediction method proposed in this paper can effectively identify core and frontier technologies to achieve NEV technology prediction.

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Open accessBook
30 Dec 1991-
Abstract: This paper reports on the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work. It is argued...

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Topics: Social network (68%), Mathematical sociology (66%), Social complexity (61%) ... read more

6,358 Citations


Open accessJournal ArticleDOI: 10.1007/S11192-009-0146-3
01 Jan 2010-Scientometrics
Abstract: We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.

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3,786 Citations


Open accessJournal ArticleDOI: 10.1109/ACCESS.2016.2566339
10 May 2016-IEEE Access
Abstract: Motivated by the recent explosion of interest around blockchains, we examine whether they make a good fit for the Internet of Things (IoT) sector. Blockchains allow us to have a distributed peer-to-peer network where non-trusting members can interact with each other without a trusted intermediary, in a verifiable manner. We review how this mechanism works and also look into smart contracts—scripts that reside on the blockchain that allow for the automation of multi-step processes. We then move into the IoT domain, and describe how a blockchain-IoT combination: 1) facilitates the sharing of services and resources leading to the creation of a marketplace of services between devices and 2) allows us to automate in a cryptographically verifiable manner several existing, time-consuming workflows. We also point out certain issues that should be considered before the deployment of a blockchain network in an IoT setting: from transactional privacy to the expected value of the digitized assets traded on the network. Wherever applicable, we identify solutions and workarounds. Our conclusion is that the blockchain-IoT combination is powerful and can cause significant transformations across several industries, paving the way for new business models and novel, distributed applications.

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2,377 Citations



Open accessJournal Article
Topics: Bibliometrics (65%)

1,906 Citations


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No. of citations received by the Paper in previous years
YearCitations
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20214
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