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This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

In this study, we focus on consumer perceptions of cryptocurrencies. We hypothesize that knowledge of cryptocurrencies, trust in government, and the speed of transactions are the main factors contributing to consumers' trust in cryptocurrencies.

451 MTurk workers, a convenient sample incentivized with a small monetary payment, participated in a cross-sectional online study with cryptocurrencies serving as the focal product category.

We obtained support for our hypothesized notion that knowledge of cryptocurrencies, trust in government, and the speed of transactions are the main factors contributing to consumers' trust in cryptocurrencies. Our research makes several important theoretical contributions. First, we demonstrate that consumers who understand and know how cryptocurrencies work are more likely to trust and invest in the currency. Next, we demonstrate that consumers are more likely to trust cryptocurrencies and their peer-to-peer transactions if, preferably, they take place via a central issuer and are regulated by their respective governments.

This study is the first known paper to focus on cryptocurrencies from the consumers' perspective. Next, we identify key antecedents of trust towards cryptocurrencies. Second, we reveal the role of government concerning cryptocurrencies. Finally, FinTech firms and banks (should they choose to enter the cryptocurrency market) need not spend time and money on marketing, advertising, and promotions in order to try to allay consumers' anxiety when it comes to their uptake in the different digital currencies. Rather, this would allow the FinTech firms and banks to allocate resources to focus their attention on marketing, advertising and promoting the factors (i.e. knowledge, trust in government, and speed of transaction) that drive intent to invest in cryptocurrencies.

Cryptocurrencies put consumers at the heart of a potential revolution by shifting central authority to a distributed peer-to-peer monetary system. This study aims to perform a systematic literature review and bibliometric analysis within the topic of cryptocurrencies and consumer trust.

The Web of Science database has been selected, and the analyses performed allowed us to identify five research trends obtained from the bibliographic coupling analysis: (1) Understanding consumer's (non)acceptance of cryptocurrencies, (2) Ethical aspects and trust in cryptocurrencies, (3) Blockchain technology as a trust-free technology, (4) The blockchain/trust economy, and (5) Blockchain technology: challenging trust.

Findings uncover the intellectual structure in the field of cryptocurrencies and consumers' trust and offer insights on the pros and cons of consumers' willingness to trust the digital currency.

The study proved a great gap in the current literature in linking cryptocurrencies and trust theories in a consumer context. The authors also outline several gaps that allowed us to propose future research guidelines.

Cryptocurrencies are becoming increasingly attractive as alternatives to traditional currencies. Although many retailers accept cryptocurrencies as a means of payment in online shopping, consumers’ cryptocurrency adoption intention in online shopping (CCAI) is still low. This study aims to investigate the influence of attitudes, subjective norms, consumer trust, financial literacy and fear of missing out (FOMO) on CCAI.

A quantitative research approach was followed using a consumer survey. Hypothesized relationships were tested through regression and mediation analyses.

The results revealed that consumers could accept cryptocurrencies as a means of payment in online shopping. Attitudes, subjective norms, consumer trust and financial literacy directly and positively influence CCAI, while they indirectly affect CCAI through the mediating impact of FOMO.

Marketing managers should improve consumers’ knowledge about cryptocurrencies and trust in online shopping to increase CCAI. Social media marketing can be appropriate, while the advertising content can address keeping up with others and staying connected.

This study addresses a critical gap in the literature by empirically examining the antecedents of CCAI within an original conceptual model based on the theoretical framework provided by the theory of planned behavior. Attitudes, subjective norms, trust and financial literacy influence CCAI, where FOMO plays a significant role as a mediator.

At present, the adoption of cryptocurrency investment has brought consideration to the globe. The present paper attempts to investigate the intention to adopt cryptocurrency (IACR) among the potential investors of Pakistan.

The theory of planned behavior (TPB) is applied to underpin the conceptual framework. The study uses a quantitative approach. The study collects cross-sectional data through an online survey questionnaire. In the last, the authors utilized 334 samples for outcomes.

Findings of the SEM reveal a significant positive effect of attitude, subjective norms (SNs), perceived behavioral control (PBC) and trust on IACR.

The outcomes of an investigation would develop further intention and trust towards cryptocurrency adoption. The results would support developing favorable policies regarding the reduction of the ban on cryptocurrency in Pakistan to make easier transactions of the investors further. Possibly, it brings several opportunities in all segments of society in making the digital transaction modes through cryptocurrency. Finally, the findings would further validate the TPB in the context of cryptocurrency.

The study provides a better understanding of cryptocurrency and investors IACR. The empirical evidence further develops the other individuals' intentions towards cryptocurrency usage.

This study aims to investigate the influence of perceived government control (PGC) on cryptocurrency adoption and continuance intention among Indians through an integrated model of the extended Unified Theory of Acceptance and Use of Technology (UTAUT) with the Information System Success Model (ISSM).

This study examined the items of cryptocurrency adoption, continuance intention and PGC adopted from the information systems and cryptocurrency literature. The survey was administered to 391 Indians through an online questionnaire. Partial least squares structural equation modeling was used to analyze data.

Results have shown that social influence, effort expectancy and perceived trust are the major drivers for cryptocurrency adoption. All paths leading to cryptocurrency adoption were found to be significant in the hypothesized directions. The study also found that PGC moderates the relationship between adoption and continuance intention.

This study advances existing literature by empirically verifying the integrated UTAUT and ISSM in the context of cryptocurrency adoption for investment purposes. The findings offer crypto-developers and crypto-exchange insight into how adoption is diffusing in emerging markets. The findings provide policymakers with meaningful insights into the role of government regulations in cryptocurrency continuance intention.

Using a recent philosophical account of trustworthiness, the author evaluates whether Bitcoin can be considered trustworthy in each of its three most common uses: as a medium of exchange, as a store of value, and as a speculative investment. Primarily because the entity that controls Bitcoin, its community of users, does not take actions to stabilize and secure the cryptocurrency – that is, in the manner that nations’ monetary policies can stabilize and secure national currencies – the author evaluates Bitcoin as untrustworthy. The author then offer an argument that its untrustworthiness undermines Bitcoin’s ability to serve both as medium of exchange and as store of value. Bitcoin’s untrustworthiness does not, however, undermine its usefulness as a speculative investment. Finally, the author discuss the extent to which – and how – other cryptocurrencies can avoid the evaluation that they are untrustworthy.

This paper aims to create and evaluate a model for cryptocurrency adoption by investigating how age, education, and gender impact Behavioural Intention. A hybrid approach that combined partial least squares structural equation modeling (PLS-SEM) and artificial neural network (ANN) was used for the purpose.

This study uses a multi-analytical hybrid approach, combining PLS-SEM and ANN to illustrate the impact of various identified variables on behavioral intention toward using cryptocurrency. Multi-group analysis (MGA) is applied to determine whether different data groups of age, gender and education have significant differences in the parameter estimates that are specific to each group.

The findings indicate that Social Influence (SI) has the greatest impact on Behavioral Intention (BI), which suggests that the viewpoints and recommendations of influential and well-known individuals can serve as a motivating factor to invest in cryptocurrencies. Furthermore, education was found to be a moderating factor in the relationship found between behavioral intention and design.

Prior studies on technology adoption have utilized superficial SEM and ANN methods, whereas a more effective outcome has been suggested by implementing a dual-stage PLS-SEM and ANN approach utilizing a deep neural network architecture. This methodology can enhance the accuracy of nonlinear connections in the model and augment the deep learning capacity.

The research is based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and expands upon this model by integrating elements of design and trust. This is an important addition, as design can influence individuals' willingness to try new technologies, while trust is a critical factor in determining whether individuals will adopt and use new technology.

Cryptocurrencies are a relatively new phenomenon in India, and their use and adoption have grown significantly in recent years. However, this development has not been without controversy, as the implications of cryptocurrencies for society, the economy and governance remain uncertain. The results reveal that social influence is an important predictor for the adoption of cryptocurrency in India, and this can help financial institutions and regulators in making policy decisions accordingly.

Given the emerging nature of cryptocurrency adoption in India, there is certainly a need for further empirical research in this area. The current study aims to address this research gap and achieve the following objectives: (a) to determine if a dual-stage PLS-SEM and ANN analysis utilizing deep learning techniques can yield more comprehensive research findings than a PLS-SEM approach and (b) to identify variables that can forecast the intention to adopt cryptocurrency.

This paper examines the factors which impact the behavioral intentions toward cryptocurrency based on signaling theory.

Data were collected through online questionnaire, and responses from 223 individuals in Lebanon were analyzed through SEM technique using Amos 24.

The outcomes portrayed the positive effect of perceived benefits and trust in cryptocurrency on behavioral intentions toward cryptocurrency; while not supporting the hypothesized influence of herd behavior and regulatory support.

This paper is among the first studies to adopt Signaling Theory (ST) in the cryptocurrency behavioral intentions research. Moreover, it is of the initial efforts in Lebanon and Middle East in evaluating behavioral intentions to use cryptocurrency, and it provide insights for future researchers, crypto project owners, crypto investors and crypto trading platforms.

The purpose of this paper is to investigate the antecedents of individuals’ behavioral intention to transact in blockchain cryptocurrency through the theoretical lens of the expanded theory of planned behavior (TPB).

This study investigated the antecedents of a blockchain cryptocurrency adoption framework by adapting well-established items from the information systems (IS) and psychology literature to produce a survey instrument to measure individuals’ intention to engage in blockchain cryptocurrency transactions. The survey was administered to 492 individuals through Amazon Mechanical Turk.

This study resulted in a research model of an individual’s intention to transact with a blockchain cryptocurrency. Results indicated that the expanded TPB model explains 63.5% of the variance in intention to adopt cryptocurrency for transactional usage. In this study, all paths leading to behavioral intention were found to be significant in the hypothesized directions. In addition, all paths leading to attitude, subjective norms and perceived behavioral control were found to be significant in the hypothesized directions.

This study furthers prior literature by empirically validating the expanded TPB in the context of individuals’ intention to use cryptocurrency for transactional purposes. This study can better inform practitioners on individual attitudes and behaviors toward transactional cryptocurrency use. The findings provide regulators meaningful insights toward the development of a regulatory framework which encourages innovation while safeguarding the interests of individual citizens.