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Blockchain has been receiving growing attention from both academia and practices. This paper aims to investigate the research status of blockchain-related studies and to analyze the development and evolution of this latest hot area via bibliometric analysis. We selected and explored 2451 papers published between 2013 and 2019 from the Web of Scienc...
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Whereas the use of distributed ledger technologies has previously been limited to cryptocurrencies, other sectors—such as healthcare, supply chain, and finance—can now benefit from them because of bitcoin scripts and smart contracts. However, these applications rely on oracles to fetch data from the real world, which cannot reproduce the trustless...
Blockchain is a path-breaking paradigm, and cryptocurrencies are one of the main application areas of Blockchain technology. Bitcoin leads the cryptocurrency markets, both in terms of market capitalization and in scientific interest. In this paper, we performed a comprehensive bibliometric study of the Bitcoin-related literature. Using the Scopus d...
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The financial-technology industry has recently attracted the attention of many sectors. The financial-technology industry designs new and unusual technological financial services in many areas. It combines technology with finance and provides an alternative to the traditional financial system. In the scope of this study, 636 publications were obtai...
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... Its core principles encompass decentralization, distributed consensus, encryption algorithms, and block linking, ensuring secure data storage, immutability, and trustworthiness. Decentralization in blockchain disperses data and power across numerous network nodes, mitigating single points of failure and bolstering system reliability [31]. Encryption algorithms and consensus mechanisms fortify data security; each block contains the previous block's hash value, thwarting tampering and preserving immutability. ...
The proliferation of Internet of Things (IoT) systems has resulted in the generation of substantial data, presenting new challenges in reliable storage and trustworthy sharing. Conventional distributed storage systems are hindered by centralized management and lack traceability, while blockchain systems are limited by low capacity and high latency. To address these challenges, the present study investigates the reliable storage and trustworthy sharing of IoT data, and presents a novel system architecture that integrates on-chain and off-chain data manage systems. This architecture, integrating blockchain and distributed storage technologies, provides high-capacity, high-performance, traceable, and verifiable data storage and access. The on-chain system, built on Hyperledger Fabric, manages metadata, verification data, and permission information of the raw data. The off-chain system, implemented using IPFS Cluster, ensures the reliable storage and efficient access to massive files. A collaborative storage server is designed to integrate on-chain and off-chain operation interfaces, facilitating comprehensive data operations. We provide a unified access interface for user-friendly system interaction. Extensive testing validates the system’s reliability and stable performance. The proposed approach significantly enhances storage capacity compared to standalone blockchain systems. Rigorous reliability tests consistently yield positive outcomes. With average upload and download throughputs of roughly 20 and 30 MB/s, respectively, the system’s throughput surpasses the blockchain system by a factor of 4 to 18.
... Furthermore, research has explored the potential of Bitcoin for international trade (Ganne 2018), and financial inclusion (Mavilia and Pisani 2020), and illegal activities like money laundering (Van Wegberg, Oerlemans, and Van Deventer 2018), and regulatory challenges associated with Bitcoin adoption (Cumming, Johan, and Pant 2019), and blockchain technology adoption in developed relative to developing countries (Bhimani, Hausken, and Arif 2021), monetary policy implications (Schilling and Uhlig 2019). Wang et al. (2021) apply bibliometric analysis to examine blockchain-related research. They identify the evolution of blockchain research and propose emerging topics for future research. ...
... Furthermore, they also demonstrate indirect independence from global macroeconomic factors (Dyhrberg, 2016b;Bouri et al., 2017;Das and Kannadhasan, 2018). In their research, Wang et al. (2021) discovered that volatility, liquidity, and attention factors are highly relevant for predicting the returns of cryptocurrencies. Other risk factors capable of successfully predicting crypto-assets returns are momentum, market risk, size, and the network effect (Koutmos, 2018;Biais et al., 2019Biais et al., , 2020Sockin and Xiong, 2023;Liu et al., 2020;Cong et al., 2021;Momtaz, 2021;Routledge and Zetlin-Jones, 2021;Pagnotta, 2022;Liu et al., 2022). ...
... However, the increased adaptation of blockchain technology and the growth of use cases indicate that more researchers will get interested in this subject and more research would be published in the near future [18]. In addition, the increased impact caused by such vulnerabilities is pushing companies to invest more and more in securing their Dapps. ...
In recent years, smart contract technology has garnered significant attention due to its ability to address trust issues that traditional technologies have long struggled with. However, like any evolving technology, smart contracts are not immune to vulnerabilities, and some remain underexplored, often eluding detection by existing vulnerability assessment tools. In this article, we have performed a systematic literature review of all the scientific research and papers conducted between 2016 and 2021. The main objective of this work is to identify what vulnerabilities and smart contract technologies have not been well studied. In addition, we list all the datasets used by previous researchers that can help researchers in building more efficient machine-learning models in the future. In addition, comparisons are drawn among the smart contract analysis tools by considering various features. Finally, various future directions are also discussed in the field of smart contracts that can help researchers to set the direction for future research in this domain.
... Gaviria-Marin et al. (2019) present an overview of research in knowledge management using bibliometric analysis. Wang et al. (2021) analyze blockchain-related research using bibliometric analysis. They summarize the hot areas in the blockchain field and recommend emerging topics for future research. ...
The field of quantitative finance has been rapidly growing in both academics and practice. This article applies bibliometric analysis to investigate the current state of quantitative finance research. A comprehensive dataset of 2,723 publications from the Web of Science Core Collection database, between 1992 to 2022, is collected and analyzed. CiteSpace and VOSViewer are adopted to visualize the bibliometric analysis. The article identifies the most relevant research in quantitative finance according to journals, articles, research areas, authors, institutions, and countries. The study further identifies emerging research topics in quantitative finance, e.g. deep learning, neural networks, quantitative trading, and reinforcement learning. This article contributes to the literature by providing a systematic overview of the developments, trajectories, objectives, and potential future research topics in the field of quantitative finance.
... The need for has been on the rise from a firm's perspective in response to the advancements in technology, e.g. blockchain (Wang et al., 2021), big data (Sorescu, 2017), the internet of things (Haaker et al., 2021), artificial intelligence (Ciasullo & Lim, 2022), and central bank digital currencies (Wang & Hausken, 2022). Johnson et al. (2008) argue that competitive pressure is a driving factor for , while Doz and Kosonen (2010) suggest that firms need to innovate in their business when their strategy is disrupted. ...
This article explores the impact of business model innovation () on firm performance by analyzing 2,970 annual reports of firms in the China Growth Enterprise Market (GEM) from 2012 to 2017. The dependent variable is constructed using crawler technology to reflect the business model innovation of the research sample. Four financial indicators, i.e. gross profit ratio total assets (), earnings per share (), return on total assets (), and return on equity (), are used to represent firm performance. The results suggest that has a positive impact on a firm's performance in China, and the robustness test confirms the findings. This study provides empirical evidence of the impacts of on firm performance in the China GEM and offers managerial implications for governments, firms, and entrepreneurs.
... We understand the key points of blockchain-based decentralized governance, which challenges to varying degrees the traditional mechanisms of State authority, citizenship and democracy. [11]Blockchain is a continuously evolving technology now from a long time and studies on it has changed from the power that blockchain had to the limitations that arises while increasing use of blockchain in various fields. [12] Considering a system for decentralized data storage we can have a custom made storage spaces (which are more secure yet very labor intensive) or can have some predefined decentralized data servers with our own codebase to cater our specific needs, both of these can be used in our case but due to lack of infrastructure we will be using premade decentralized data servers. ...
... Although there are high-level reviews of blockchain technology [18][19][20][21], a systematic comparison of blockchain platforms in the context of financial applications is still lacking. There is a considerable gap in investigating how blockchains and distributed ledger technologies are implemented and used for financial services on a technical level for various FinTech Segments. ...
FinTech has proven its true potential in traditional financial offerings by delivering digital financial services to individuals worldwide. The pandemic has accelerated how people interact with financial services and has resulted in long-term changes to societies and economies. FinTech has expanded access to financial services and has made such changes possible. FinTech or Financial Technology refers to using new technologies for financial services. Artificial Intelligence, Blockchain, and cloud computing are a few technologies currently being applied to FinTech. In this paper, we consider FinTech, which partly uses blockchain technology. Blockchain technology plays a vital role in the financial sector as it ultimately lifts trust and the need for third-party verification by using consensus-based verification. This survey provides a comprehensive summary of the most relevant blockchain-based FinTech implementations and an overview of FinTech sectors and segments. For each segment, we provide a critique and a discussion on how each blockchain implementation contributes to solving the majority of problems faced by FinTech companies and researchers. This research aims to direct the future of financial solutions by providing an outline of the applications of blockchain technology and distributed ledger technology (DLT) for FinTech. We discuss various implementations, limitations, and challenges of blockchain-based FinTech applications. We conclude this work by exploring possible strengths, weaknesses, opportunities, and threats (SWOT) analysis and future research directions.
... Due to the high level of utility and unique characteristics of blockchain, it has become a topic of discussion and study among national and international entities such as WorldBank, International Monetary Fund (IMF), European Parliament, European Central Bank (ECB), and Interpol that are investigating the potential and challenges facing blockchain (Wang et al., 2021). Despite all the attention and hype surrounding blockchain, the actual legal implications of this technology have not yet been adequately explored and clarified by most governments and legal scholars through their publications due to blockchain's rapid and extensive development, the complicity of such technology and its high level of utility. ...
Blockchain has proven to be one of the most influential technologies of all time due to its capabilities and applicability in virtually every industry and business. Blockchain has attracted both individuals and organisations and has continued to grow and spread across numerous industries and business types. Despite this unprecedented growth in popularity, there are a number of legal issues that must be addressed in order to encourage and support the safe use of this technology by all individuals and organisations for a variety of purposes, while adhering to the legal rules and regulations issued by the authoritative bodies. This research is devoted to conducting an in-depth examination of blockchain from a legal standpoint in order to identify the areas of law that should be amended or improved in order to better accommodate blockchain within its domain. The research employs the qualitative legal research and a library-based approach to collect and analyse data. Due to blockchain's unique nature and characteristics, research has uncovered a number of legal issues, such as implementation and other related actions such as cryptocurrencies and smart contracts, that must be addressed in order to maximise the technology's ultimate utility while ensuring legal compliance and avoiding any unanticipated risks. Therefore, the research has generated several recommendations or actions to be taken to resolve the legal complexities that would guarantee the safe use of such cross-border technology and prevent any illegal attempts, such as terrorism financing and money laundering, which pose a threat to both the national and international level.
... 1 . G. Wang, Zhang, Yu, and Ning (2021) provide a holistic picture of cryptocurrencies and blockchain research. Bhimani, Hausken, and Arif (2022) assess cryptocurrency adoption. ...
Central bank digital currencies (CBDCs) give rise to many possibilities including those of negative interest rates. A two-period decision model is presented between one central bank and one representative household. The central bank applies the Taylor (1993) rule to choose its interest rate. The household allocates its resources strategically to production, consumption, CBDC holding, and non-CBDC holding. The results are determined analytically and illustrated numerically by varying 19 parameter values. Interesting novelties of the article are that the central bank may choose negative CBDC interest rates when the household holds far more CBDC than non-CBDC, for low inflation rates, low real interest rates, low household’s potential production, low weight assigned to inflation in the Taylor (1993) rule, high target inflation rate, and high household’s production parameter. That usually causes the household to decrease its CBDC holding and increase its non-CBDC holding, production and consumption. The central bank may increase its CBDC interest rate to compete with an increasing non-CBDC interest rate if the household’s transaction efficiencies for CBDC and non-CBDC increase, or the household’s transaction efficiency for consumption decreases. Shocks to production, inflation and interest rates are analyzed.
