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Determinants of cryptocurrency and decentralized finance adoption - A configurational exploration

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Abstract

Over the past three decades, scholars have studied technology adoption and its determinants in many contexts. Nevertheless, this literature has remained silent in understanding the complex interdependency among these determinants and how such interdependency determines technology adoption. In this paper, we build on previous research to focus on the technological, social, economic, cultural, and political determinants of technology adoption. Using the Fuzzy-set Qualitative Comparative Analysis (FsQCA) with samples of 101 and 43 countries, we perform a configurational analysis to explore the interdependency among these five categories of factors and their causal effect on the adoption of cryptocurrency and decentralized finance (DeFi). We obtain various causal combinations of the technological, social, economic, cultural, and political factors that are associated with a high level of cryptocurrency and DeFi adoption. In addition, our analysis highlights the key role of the social, economic, and cultural factors in influencing both crypto and DeFi adoption. Technological and political factors, nevertheless, play a less important role in driving blockchain adoption. We also find intriguing differences between cryptocurrency and DeFi adoption. Our results both support and challenge existing findings in the technology adoption literature and offer theoretical implications for future research.

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Markets for cryptocurrencies such as Bitcoin have experienced tremendous growth. Yet little research has examined why people want to buy cryptocurrencies that are risky investments. The present research studies a subset of people interested in cryptocurrencies. Specifically, we examine the effect of Dark Tetrad traits (Machiavellianism, subclinical narcissism, subclinical psychopathy, and subclinical sadism) on a person's crypto attitude and buying intention. The following mediators were examined as reasons for people buying crypto: (1) conspiracy beliefs (e.g., distrust of government), (2) positivity and (3) fear of missing out (FoMO). Importantly, we are not suggesting all crypto buyers exhibit Dark Tetrad traits. Based on a pre-registered survey of the main research question rather than hypotheses (N = 566), it was found that narcissism was positively associated with crypto attitude which was mediated by positivity. Machiavellianism was associated with buying intention which was mediated by conspiracy beliefs. Machiavellians were more distrustful of government which was associated with a greater desire to buy crypto. Psychopathy affected crypto judgments through FoMO and a negative effect on positivity. Sadism is associated with FoMO and a lack of positivity which affects crypto judgments.
Article
Technology adoption is crucial to economic growth, yet levels of technology adoption vary, with limited adoption in many countries. Countries wield considerable technology adoption power and their adoption activities can be leveraged to achieve social, economic, and environmental goals by endorsing specific technologies. To encourage greater adoption, it is vital to determine the predictors of technology adoption to design effective promotion policies, accomplished through the modification of Diffusion of Innovation theory. While there is substantial research in individual consumer adoption behavior, less is known about country level factors that impact technology adoption. To overcome these gaps in the research, we undertook an investigative study to better understand the predictors of a country's technology adoption rate. We use a random effects panel model to predict technology adoption factors for a sample of 15 countries over the period of 2010–2019 using secondary datasets. We identify a statistically significant effect of competitiveness, cybersecurity, ease of doing business, and the level of political stability/non-violence and terrorism. We thus posit that a country that is highly competitive, has enhanced cybersecurity, is easy to do business in, and has a low level of political violence and terrorism adopts new technologies more readily than others.
Article
Green energy has received extensive attention worldwide for its outstanding contributions to fighting environmental damage. However, in recent years, there have been indications that the outlook for social acceptance of green energy adoption (GEA) is not optimistic, and potential difficulties and challenges from various aspects are possible in the future. To this end, a growing body of literature explores the determinants of GEA that will push towards greater social acceptance. Taking into account the current lack of an accessible holistic overview of the knowledge structure of GEA research and its determinants, high-level insights urgently needs to be provided. Therefore, the objective of this paper is to conduct a comprehensible bibliometric review of GEA research and the determinants of GEA. First, with the help of different bibliometric analyses, an in-depth view of GEA publications, looking at active authors, highly productive countries/regions, the most relevant journals, citation structures, and GEA's thematic evolution, is visually presented. Second, further supported by a content analysis, this work sorts out and identifies the key determinants of GEA in terms of technical matters, adopter levels, corporate promotions, and environmental challenges. Finally, the existing knowledge gaps, as well as possible future research directions, are summarized based on the above findings. The work presented in this paper will help scholars to obtain systematic knowledge and a structured understanding of GEA research and its determinants.
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High administrative costs and associated operational inefficiencies present multiple challenges for pension industries across different countries. Although blockchain is considered a potential solution for these concerns, the pension industry has not fully leveraged this disruptive technology. This paper provides a blueprint for a blockchain-based end-to-end digital transformation of the pension industry. First, we identified the pre-requisites for blockchain adoption in pension. Then, we developed an architectural design of blockchain-based re-designed pension business processes. Subsequently, we elaborated on how smart contracts can make pension transactions in such redesigned processes optimized, automated, and error-free. Finally, we presented how blockchain can be integrated with the existing pension IT systems, using an API layer, to enable seamless onboarding of all pension participants to a single digital platform – a critical ask for any blockchain implementation. We concluded with an elucidation of the potential of such blockchain-based digital transformation of the pension industry in reducing turnaround time, lowering operating expenses, and facilitating the achievement of other pension reform agendas. This architecture of a blockchain-enabled pension network represents a flexible and scalable knowledge construct that can act as a foundation for further investigations by pension regulators or pension industry participants interested in achieving technology-driven pension operations reforms.
Article
During the recent COVID-19 pandemic, many commonalities shared by Bitcoin and gold raise the question of whether Bitcoin can hedge inflation or provide a safe haven as gold often does. By estimating a Vector Autoregression (VAR) model, we provide systematic evidence on the relationship among inflation, uncertainty, and Bitcoin and gold prices. Bitcoin appreciates against inflation (or inflation expectation) shocks, confirming its inflation-hedging property claimed by investors. However, unlike gold, Bitcoin prices decline in response to financial uncertainty shocks, rejecting the safe-haven quality. Interestingly, Bitcoin prices do not decrease after policy uncertainty shocks, partly consistent with the notion of Bitcoin's independence from government authorities. We also find an interesting asymmetry in the drivers of Bitcoin price dynamics between the bullish and bearish market. The main findings hold with or without the COVID-19 pandemic episode.
Article
The issues of excessive CEO compensation and gender pay gaps garner much attention from management scholars and the general public. In this study, we integrate these topics and explore the complex interdependent nature of how CEOs influence directors’ evaluative perceptions about appropriate levels of CEO compensation and whether female and male CEOs do so in different ways. Drawing from role congruity theory and previous research on executive compensation, we use a configurational approach to identify how CEOs achieve high levels of compensation through different combinations of influence arising from their power, origin, tenure, similarities with evaluators, and organizational conditions. Using fuzzy set qualitative comparative analysis with a matched pair sample of female and male CEOs from 2010 to 2016, we find there are multiple configurations of influence conditions by which female and male CEOs achieve high compensation. Our inductive analysis, unpacking how these configurations differ between female and male CEOs, shows four distinct influence mechanisms: leveraging power and role empathy, trailblazer responsibility, leveraging power and similarity, and leveraging role empathy. These mechanisms highlight the ways influence conditions complement or mutually reinforce one another in different ways for female and male CEOs. Implications for theory and research about the unique challenges female executives face in achieving equitable treatment in the workplace are also discussed.
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Building on the latent-emergent entrepreneurship framework, we investigate how different type of skills and combination of skills within entrepreneurial founding teams (EFTs) affect the adoption of latent vs emergent technologies (ICTs). We also examine the role of knowledge spillovers on the firm's adoption of different types of technologies and how their effect is moderated by the set of skills that are present within the EFT. We contribute by showing that latent and emergent entrepreneurs decide differently when it comes to whether they should adopt a latent or an emergent version of a technology, by identifying what type or combinations of skills differentiate between latent and emergent entrepreneurs when it comes to ICT adoption, and finally by showing how entrepreneurs, depending on their set of skills, are able to take advantage of the knowledge gathered from external spillovers to adopt different types of technologies.
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Can targeting information to network-central farmers induce more adoption of a new agricultural technology? By combining social network data and a field experiment in 200 villages in Malawi, we find that targeting central farmers is important to spur the diffusion process. We also provide evidence of one explanation for why centrality matters: a diffusion process governed by complex contagion. Our results are consistent with a model in which many farmers need to learn from multiple people before they adopt themselves. This means that without proper targeting of information, the diffusion process can stall and technology adoption remains perpetually low. (JEL O13, O18, O33, Q12, Q16)
Article
With the rapid development of emerging technologies, research on technology adoption is valuable for improving the reception efficiency of new technologies. This paper uses bibliometric analysis methods and visualization software to explore the research stages, the hot issues, the limitations of the research and the future fronts. A total of 11,706 documents were collected as the original data using the retrieval formulas. Sorted by the numbers of citations, the top 10% of the documents are extracted as the top-cited documents. First, combining software and bibliometric analysis, we obtain the annual development trends and identify the productive countries/regions, the influential institutions and the high-yielding authors. In addition, we overview the representative authors and their works in the development of technology adoption. Then, we conduct keyword analysis and burstiness analysis to identify the academic hotspots, research fronts and limitations in this field. The results show that increasingly more researches have shifted from theories to applications. Technology adoption has multiple applications in the fields of online shopping, mobile learning, mobile banking, e-learning and health care delivery. Finally, we draw conclusions on the bibliometric findings and forecast the future research trends of technology adoption. In the future, more researches will focus on the impacts of age, gender, culture, and the environment on technology adoption.
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The purpose of the paper is to investigate the challenges and implications related to blockchain adoption in the private and public sectors, and from the entrepreneurs’ perspective. Based on 46 semi-structured interviews, a data-driven conceptual framework is proposed focussing on the environmental, organizational and technological challenges of blockchain adoption. The framework includes expected socio-economic value of blockchain adoption at the ecosystem level from a multi-stakeholder perspective: organizations and industries, end-users and society, public sector, and start-ups and entrepreneurs. The paper highlights the differences between permissioned and permissionless blockchains and identifies new constructs in blockchain technology adoption.
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We address the determination of bitcoin prices and decentralized security. Users forecast the transactional and resale values of holdings, pricing the risk of systemic attacks. Miners contribute resources to protect against attackers and compete for block rewards. Bitcoin’s design leads to multiple equilibria: the same blockchain technology is consistent with sharply different price and security levels. Bitcoin’s monetary policy can lead to welfare losses and deviations from quantity theory. Price-security feedback amplifies fundamental shocks’ volatility impact and leads to boom and busts unconnected to fundamentals. We characterize how viability versus fiat currency depends on bitcoin’s relative acceptability and inflation protection.
Article
This study explored factors affecting acceptance of news articles written by robot journalists. Until now, there has been little discussion about robot journalism in the perspective of user behavior, especially in terms of psychological and cultural factors influencing users’ intention to continue or discontinue consumption of news articles produced by robot journalists. According to the results of this study, perceived quality and positive disconfirmation on news by robot journalists raised satisfaction, which led to an increase in intention to accept robot journalism. Also, the role of prior expectation and uncertainty avoidance were explored. The lower the prior expectation, the stronger the effect of positive disconfirmation on satisfaction, and the higher uncertainty avoidance, the weaker the effect of satisfaction on intention to accept news by robot journalists.
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The annual electricity consumption of cryptocurrency transactions has grown substantially in recent years, partially driven by the increasing difficulty in mining, but also driven by the large number of new market participants that have been attracted by the elevated prices of this developing financial asset. Total carbon production from mining now likely exceeds that generated by individual developed nations. This is now a prevailing and accepted feature in cryptocurrency markets, however unsustainable it may be. This paper investigates as to how Bitcoin's price volatility and the underlying dynamics of cryptocurrency mining characteristics affect underlying energy markets and utilities companies. Further analysis of potential side-effects within the market for Exchange Traded Funds are considered. The results show a sustained and significant influence of cryptocurrency energy-usage on the performance of some companies in the energy sector as separated by jurisdiction, emphasising the importance of further assessment of environmental impacts of cryptocurrency growth. Robustness testing presents evidence that dynamic correlations peaked during the sharp Bitcoin price appreciation of late-2017 as investors re-evaluated how this increased energy usage would influence the profitability of utility companies.
Article
The objective of this research is to addresses the effects of digital transformation on value creation through the study of technology entrepreneurship and technological market expansion. This is particularly important since both of these concepts are part of the dynamic capabilities that help in embracing digital innovation at a national level. Relevant data from 28 European countries representing development indicators and ease of doing business over a timeframe of 7 years from 2009 to 2015 were analysed to formulate and investigate a new perspective of digital entrepreneurship driven by the concepts of digital transformation and entrepreneurship. To do this, digital transformation has been broken into three categories, namely technology readiness (e.g. ICT investments), digital technology exploration (e.g. research and development) and digital technology exploitation (e.g. patents and trademarks). This research identifies several significant relationships between such constructs, which contribute to the literature and provide key implications for business management and practitioners.
Article
Platform-based payment services such as mobile wallets (Mwallet) provide a unique value proposition to both customers and firms over other digital payment methods. Interestingly, the story of platform-based mobile payments adoption is unfolding differently across countries, with some emerging countries (China and India) outperforming developed countries. Using extant literature in International Business/International Marketing, industry reports, and qualitative interviews, we present a conceptual framework for mobile payments adoption at an aggregate level for customers and retailers. We present a set of hypotheses and derive the explanations using the literature on network effects and institutional theory. We test our framework on a diverse set of 30 countries and confirm the presence of network effects and the differential impact of perceived value, inertia, and culture on the adoption level of innovators and imitators. Importantly, we find a significant level of within- and between-country heterogeneity for mobile payment adoption, which provides further evidence for leapfrogging by emerging countries in the context of the mass adoption of mobile payments. These findings have significant implications for theory and practice in multinational organizations.
Article
For the past century economists have proposed a suite of theories relating to industrial dynamics, technological change and innovation. There has been an implication in these models that the institutional environment is stable. However, a new class of institutional technologies—most notably blockchain technology—lower the cost of institutional entrepreneurship along these margins, propelling a process of institutional evolution. This presents a new type of innovation process, applicable to the formation and development of institutions for economic governance and coordination. This paper develops a replicator dynamic model of institutional innovation and proposes some implications of this innovation for innovation policy. Given the influence of public policies on transaction costs and associated institutional choices, it is indicated that policy settings conductive to the adoption and use of blockchain technology would elicit entrepreneurial experiments in institutional forms harnessing new coordinative possibilities in economic exchange. Conceptualisation of blockchain-related public policy an innovation policy in its own right has significant implications for the operation and understanding of open innovation systems in a globalised context.
Article
Given the stagnant agricultural productivity and persistent food insecurity in low‐income countries—notably in sub‐Saharan Africa (SSA)—there has been continued interest in the adoption of new technology and its impact on productivity in these regions. Interestingly, there are signs of Green Revolution in maize and rice in SSA, reflected in sharply increasing yield trends in advanced regions. To increase crop yields and sustain yield gains, recent case studies of technology adoption unanimously recommend the adoption of integrated farm management systems, particularly in SSA. On the other hand, there have been increasing numbers of studies on social network or farmer‐to‐farmer technology extension. These studies explore more efficient extension systems than traditional public‐sector extension approaches. This article reviews both recent case studies of technology adoption and its productivity impacts as well as studies on agricultural extension to identify common findings, shortcomings, and major remaining issues. This article is protected by copyright. All rights reserved
Article
Purpose The purpose of this paper is to identify the applications and contributions of blockchain technology in finance in general, and to identify areas where the technology can make a larger impact in payment systems. Design/methodology/approach The authors do an exhaustive review of blockchain technology and cryptocurrency, and examine the successful applications of blockchain technology in several finance disciplines including cryptocurrency. The authors critically evaluate the technical studies on behaviors in cryptocurrency prices. Findings Cryptocurrency is the first successful application of blockchain technology and can be used as the main fuel of the global money transfer network. Research limitations/implications Blockchain is a revolutionary technology that can change the world with its convenience, transparency, accuracy and efficiency in speed and cost. The growth of blockchain usage in finance depends on further familiarization and trust gained by an increasing number of proven successful usage cases and testimonials as well as appropriate legislative changes. Originality/value This paper provides a comprehensive review of the contributions that blockchain technology has made and is expected to make in the field of finance with the aim of adding value to corporate executives, investors, policy makers and a general audience.
Article
The aim of the article is to verify whether bitcoin can act as a hedge, diversifier or safe haven on various stock markets, depending on the economic situation in the countries. To diversify the sample, we include five very different countries in our study: Japan, Venezuela, China, Estonia, and Sweden. Using daily data over the period 2014–2017, we estimate the dynamic conditional correlation model between main stock indices and bitcoin price in local currencies (Bitflyer – in the case of the yen, Kraken – in the case of the euro, Huobi in the case of yuan and LocalBitcoins in all the remaining cases), as well as between main stock indices and the bitcoin price in the US dollar (Bitfinex exchange). We apply the Stochastic Volatility Model with the Dynamic Conditional Correlation. We add binary variables into the dynamic correlation equation, indicating the occurrence of extreme return on the stock-exchange index in the lower 1%, 5% and 10% quantile. The conclusions vary, depending whether we consider trade on the local bitcoin exchanges or in the global one. We conclude that bitcoin was treated as a safe haven asset only in the case of Venezuela and investments in bolivars. In the case of local investments in Japan and China bitcoin behaved as a diversifier. In the bitcoin-friendly economies of Sweden and Estonia it acted as a weak hedge. In the case of the USD trade, the results suggest that bitcoin is a weak hedge with respect to all of the analyzed markets. Available at: https://authors.elsevier.com/a/1Yz~h1M2-24ENN
Article
Using a large representative sample of retailers active in e-commerce, we find that acceptance of crypto-payments is modest (2%), but there is substantial interest among online retailers to adopt them. Regression analysis shows that consumer demand, net transactional benefits and perceived accessibility of accepting crypto-payments influence adoption intention and actual acceptance. Our findings also suggest that service providers who act as intermediaries in e-commerce play a crucial role as facilitators of competition and innovation by increasing accessibility. The most serious barrier for crypto-acceptance is a lack of consumer demand. It seems therefore unlikely that crypto adoption by online retailers will increase substantially in the near future.
Article
We examine the extent to which financial market development impacts the diffusion of 16 major technologies, looking across 17 countries, from 1870 to 2000. We find that greater depth in financial markets leads to faster technology diffusion for more capital-intensive technologies, but only in periods closer to the invention of the technology. In fact, we find no differential effect of financial depth on the diffusion of capital-intensive technologies in the late stages of diffusion or in late adopters. Our results are consistent with a view that local financial markets play a critical role in facilitating the process of experimentation that is required for the initial commercialization and diffusion of technologies.
Article
This paper provides a systematic review of the empirical literature based on the major topics that have been associated with the market for cryptocurrencies since their development as a financial asset in 2009. Despite astonishing price appreciation in recent years, cryptocurrencies have been subjected to accusations of pricing bubbles central to the trilemma that exists between regulatory oversight, the potential for illicit use through its anonymity within a young under-developed exchange system, and infrastructural breaches influenced by the growth of cybercriminality. Each influences the perception of the role of cryptocurrencies as a credible investment asset class and legitimate of value.
Article
Social networks can shape many aspects of social and economic activity: migration and trade, job-seeking, innovation, consumer preferences and sentiment, public health, social mobility, and more. In turn, social networks themselves are associated with geographic proximity, historical ties, political boundaries, and other factors. Traditionally, the unavailability of large-scale and representative data on social connectedness between individuals or geographic regions has posed a challenge for empirical research on social networks. More recently, a body of such research has begun to emerge using data on social connectedness from online social networking services such as Facebook, LinkedIn, and Twitter. To date, most of these research projects have been built on anonymized administrative microdata from Facebook, typically by working with coauthor teams that include Facebook employees. However, there is an inherent limit to the number of researchers that will be able to work with social network data through such collaborations. In this paper, we therefore introduce a new measure of social connectedness at the US county level. Our Social Connectedness Index is based on friendship links on Facebook, the global online social networking service. Specifically, the Social Connectedness Index corresponds to the relative frequency of Facebook friendship links between every county-pair in the United States, and between every US county and every foreign country. Given Facebook’s scale as well as the relative representativeness of Facebook’s user body, these data provide the first comprehensive measure of friendship networks at a national level.
Article
Innovation adoption is of utmost importance for company survival. That is why it is important to develop a thorough understanding of this research domain and the themes it encapsulates. Since the early work of Everett Rogers, the adoption of innovation literature has attracted considerable attention and has continued to grow rapidly, resulting in a large but fragmented body of literature. The goal of this study is to provide a coherent overview of the theoretical cornerstones as well as recent research trends in the innovation adoption literature. To this end, we conducted a bibliometric review and performed bibliographic coupling and co-citation analysis. First, based on co-citation analysis, we illustrate that innovation adoption research is built on four theoretical cornerstones including: institutional theory; theory of reasoned action; theory concerning the determinants of adoption, and; diffusion theory. Second, bibliographic coupling was used to assess the current research trends. This review is the first to identify thematic areas in an exhaustive manner revealing five clusters of thematic related publications or “research trends”: determinants of IT adoption; adoption of technological standards; organizational rationales associated with adoption; modelling diffusion, and; adoption of agricultural innovations. We conclude this review with the limitations and future research orientations in the field of innovation adoption.