Blockchain Papers

Timothy Peterson

No abstract is available for this record.

Vladimir Soloviev, Andriy Belinskiy

No abstract is available for this record.

Won-jun Lee, Taeki Min, Seongtae Hong

No abstract is available for this record.

Thomas Dimpfl, Franziska J. Peter

No abstract is available for this record.

Camilo Mora, Randi L. Rollins, Katie Taladay, Michael B. Kantar · 7 authors

No abstract is available for this record.

Тatiana Antipova, Irina Emelyanova

No abstract is available for this record.

Mark van Rijmenam, Philippa Ryan

Blockchain is a disruptive technology and it will have a massive impact on how we live, work, and build our societies. Distributed ledgers facilitate trustless, peer-to-peer transactions, removing the need for intermediaries and making data immutable, verifiable, and traceable. Blockchain technology will do for transactions what the internet has done for the sharing of information. Leaders, organisations, and societies that want to innovate and lead the pack should be aware of Blockchain and how it will change everything. Chapter 10 summarises how it can contribute to solving some of the world’s biggest challenges and offers a road map for business adoption.

Vladimir Soloviev, Victoria Solovieva

From positions, attained by modern theoretical physics in understanding of the universe bases, the methodological and philosophical analysis of fundamental physical concepts and their formal and informal connections with the real economic measuring is carried out. Procedures for heterogeneous economic time determination, normalized economic coordinates and economic mass are offered, based on the analysis of time series, the concept of economic Plank's constant has been proposed. The theory has been approved on the real economic dynamic's time series, related to the cryptocurrencies market, the achieved results are open for discussion. Then, combined the empirical cross-correlation matrix with the random matrix theory, we mainly examine the statistical properties of cross-correlation coefficient, the evolution of average correlation coefficient, the distribution of eigenvalues and corresponding eigenvectors of the global cryptocurrency market using the daily returns of 15 cryptocurrencies price time series across the world from 2016 to 2018. The result indicated that the largest eigenvalue reflects a collective effect of the whole market, practically coincides with the dynamics of the mean value of the correlation coefficient and very sensitive to the crisis phenomena. It is shown that both the introduced economic mass and the largest eigenvalue of the matrix of correlations can serve as quantum indicator-predictors of crises in the market of cryptocurrencies.

Jerry Li

Identifying and quantifying the drivers for adopting blockchain technologies are important for developing effective launch plan. Technology Acceptance Model (TAM) and its derivatives have been used for this purpose. However, some of these models only use a few standardized, predetermined independent variables to collectively represent the drivers. Low predictive power of TAM leads to questions on whether this restriction may detrimentally constrain the exploration of other driving factors. Some other extended models with higher R2 are considered impractical and lack of theoretical foundations. This paper demonstrates that reasonable predictive power can be achieved even with simple, practically implementable model when research targets are sampled and segmented properly. By employing a more fundamental theory, this study has also included additional variable that would normally not be considered in TAM.

Jamil Civitarese

No abstract is available for this record.

Matthijs Berkhout, Fons van den Brink, Mart van Zwienen, Paul van Vulpen · 5 authors

No abstract is available for this record.

Jacob Wood, Haejin Jang, Artem Lenskiy, Gohar F. Khan

As an emerging form of cryptocurrency, Bitcoin has become increasingly prevalent in today’s financial marketplace. As a new technological instrument, this study examines Bitcoin by utilizing the technology adoption model and innovation diffusion theory. By utilizing such a framework, this study examines the factors that are associated with a decision to adopt Bitcoin as a means of financial exchange. By employing structural equation modeling and the partial least squares method, a research model was developed and tested using an international study that surveyed 121 global cryptocurrency community members. From our analysis we found that relative advantage and ease of use had a significant positive effect on bitcoin use intention while visibility and compatibility were also found to have a statistically positive impact. The results from this study have important implications to the finance and business sectors.

Christian Catalini, Catherine E. Tucker

How do bitcoin early adopters seed the adoption S curve?

Fefie Dotsika, Andrew Watkins

No abstract is available for this record.

Antonio T. F. Lou, Eldon Y. Li

Financial technology (FinTech) is the new business model and technology which aims to compete with traditional financial services and blockchain is one of most famous technology use of FinTech. Blockchain is a type of distributed, electronic database (ledger) which can hold any information (e.g. records, events, transactions) and can set rules on how this information is updated. The most well-known application of blockchain is bitcoin, which is a kind of cryptocurrencies. But it can also be used in many other financial and commercial applications. A prominent example is smart contracts, for instance as offered in Ethereum. A contract can execute a transfer when certain events happen, such as payment of a security deposit, while the correct execution is enforced by the consensus protocol. The purpose of this paper is to explore the research and application landscape of blockchain technology acceptance by following a more comprehensive approach to address blockchain technology adoption. This research is to propose a unified model integrating Innovation Diffusion Theory (IDT) model and Technology Acceptance Model (TAM) to investigate continuance intention to adopt blockchain technology.

Ben Van Vliet

No abstract is available for this record.

Jarunee Wonglimpiyarat

No abstract is available for this record.

Michel Rauchs

No abstract is available for this record.

Daniel Folkinshteyn, Mark M. Lennon

The Technology Acceptance Model (TAM) is an important analysis tool in the study of the social mechanisms of technology adoption, and has received considerable attention and study in the literature. Though empirical support for the model has varied depending on situation specifics, it remains a popular and useful conceptual framework for analysis of factors contributing to technology acceptance or rejection by the relevant constituencies. In this paper we use the TAM framework to analyze aspects of the technology acceptance process in the case of Bitcoin. Bitcoin is an entirely digital distributed currency whose disruptive and disintermediating nature has fueled the tremendous growth of the financial technology space over the past few years. Bitcoin's distributed, verifiable, and immutable public transaction ledger, the blockchain, holds out the promise of fast, cheap, peer-to-peer financial transactions, as well as significant efficiencies in the transfer of other assets via overlay networks. In this study, we break down, describe, and analyze the various factors affecting the past and future adoption curve for Bitcoin in the context of the Technology Acceptance Model.

J Wonglimpiyarat

This paper is concerned with the new Darwinism of the payment system. The researcher discusses the payment system to understand if Bitcoin would replace our cash-based society. The analysis is based on the technology S-curve and Schumpeter’s model of economic development. At present, there are problems hindering Bitcoin innovation to achieve a wide adoption as the innovation is not well received by the government central banks around the world. It is interesting to see that the swing of S-curves is not strong enough to cause a paradigm shift according to the Schumpeterian concept of creative destruction. The results have shown parallel S-curve trajectories of electronic money innovations signifying a move from a cash-based economy towards a less cash society. The study provides useful implications to support the diffusion of Bitcoin innovation.

Steve Y. Yang, Jinhyoung Kim

Bit coin, as the foundation for a secure electronic payment system, has drawn broad interests from researchers in recent years. In this paper, we analyze a comprehensive Bit coin transaction dataset and investigate the interrelationship between the flow of Bit coin transactions and its price movement. Using network theory, we examine a few complexity measures of the Bit coin transaction flow networks, and we model the joint dynamic relationship between these complexity measures and Bit coin market variables such as return and volatility. We find that a particular complexity measure of the Bit coin transaction network flow is significantly correlated with the Bit coin market return and volatility. More specifically we document that the residual diversity or freedom of Bit coin network flow scaled by the total system throughput can significantly improve the predictability of Bit coin market return and volatility.

Max-Olivier Hongler, Olivier Gallay, Michael Hülsmann, Philip Cordes · 5 authors

No abstract is available for this record.