Purpose: This paper aims to present studies related to cryptocurrency, highlight its adoption factors and supply applied methodology from recent research across various fields. Materials and Methods: In this review article, state-of-the-art of cryptocurrency adoption research are presented by merging literature from the subject of block chain, mobile banking and management information systems. Findings: Cryptocurrency exchange adoption has become increasingly widespread in various areas in recent years using both qualitative and quantitative methods. Recent research has expanded on the factors influencing the adoption of a cryptocurrency exchange such as effort expectancy, performance expectancy, facilitating conditions, social influence, privacy, security and trust. Research Limitations/Implications: Although research on cryptocurrency exchange adoption has gained attention during the last seven years, mediation or multi-group analysis still become interesting subject to be explored. Originality/Value: This article introduces cryptocurrency adoption for researchers that have not yet been exposed to the method. The article is the first to review the adoption factors of cryptocurrency.
Technological developments, includes the Internet, carries on to revolutionize the way people connect, arrange the flow of processes and manage finances. Internet is becoming increasingly vital in daily life due to its impact on both individual consumers and major economies. In 2019, about 3.97 billion people used the internet in the world. The number shows that more than 50% of the population in the world have an internet access [1].
A technology called as block chain operates by storing the data information in an account that are proved to be decentralized account [2]. Block chain performed the registration of each gadget that is part of the block chain framework. The ledger is stored using cryptographic techniques in a distributed network of nodes that any system excavators can access the intrinsic features of block chain configuration and engineering include transparency, power, ability to be audited and security. A block chain in other words is an adequate database made up of a list of requested blocks and unchangeable once submitted.
In 2009, the first Bitcoin block was extracted or in a more familiar term, was mined. Since that time, cryptocurrencies have experienced explosive development. The rapid growth of block chain techniques and the digital economic ecosystem were responsible for the expansion [3]. Thousands of various distinct cryptocurrencies, aside from Bitcoin, have periodically been launched. By mid-2021, more than 10,000 different cryptocurrencies exist and the combined market value is $1,32 trillion [4]. The GDP of 181 countries was eclipsed by this size of market capitalization [5]. Trading digital asset (for example Bitcoin) can be done through hundreds of cryptocurrency exchanges that already exists. The trade can be done using conventional flat currencies such as U.S. dollars or other crypto assets (e.g., Ethereum).
Today, there are numerous means can be done to obtain cryptocurrencies. Using peer-to-peer exchanges, using Bitcoin ATMs and signing up for cryptocurrency exchanges are one of the means. The most common approach to utilize cryptocurrencies is through the purchase on cryptocurrencies exchanges [6]. In Indonesia, there are 13 cryptocurrency exchanges with 4.2 million registered cryptocurrencies investors. A total of 126 trillion rupiahs were exchanged [7,8]. These figures demonstrate Indonesian interest in cryptocurrencies. This study aims to contribute to cryptocurrency literature in several ways. The first is to explore and analyse the current state of knowledge related to cryptocurrency.

Figure 1: Number of Internet Users 2005–2019 (in millions)
The second is exploring variables that affect its adoption across the available works. In this way, it can unite and synthesize different research streams into an enriched body of knowledge, identifying and discussing the method, frameworks and models that are applied in the field. The study concludes by summarizing the key findings and pointing out any gaps that require further research. The word "manuscript" is used in this study to refer to the unit of analysis employed in any examined study for these purposes. In this review, only variables or antecedents that affect cryptocurrency adoption, pre-adoption, or acceptance are discussed.
The following section presents a general review of cryptocurrency and its definition. In the next section, the research methodology will be presented. Furthermore, the results of analysis, several conclusions, limitations and at last the research recommendations.
Literature Review
The literature review is consists of eight parts to explain the theories and terms utilized in the study and evaluate the results of earlier, pertinent research to support the study. The literature review for this topic was compiled from a variety of academic sources, including relevant journals, books and research papers.
Cryptocurrency
Cryptocurrency is a form of money where supply and authenticity are handled by mathematical and cryptographic techniques. In order to safeguard it, cryptography is used. Cryptocurrency transactions are irreversible and the system is capable of fully recording and storing the transfer data [9]. Several cryptocurrencies are appealing for investors and the capitalizations are shown in Table 1.
Table 1: Cryptocurrency Market Capitalization
| Rank | Cryptocurrency | Price (in USD) | Market Capitalizations (in billions) USD) |
| 1. | Bitcoin | 33,088.16 | 614.40 |
| 2. | Ethereum | 1,932.40 | 223.17 |
| 3. | Tether | 1.00 | 62.68 |
| 4. | Binance Coin | 299.16 | 43.98 |
| 5. | Cardano | 1.36 | 41.35 |
| 6. | Dogecoin | 0.2363 | 29.98 |
| 7. | XRP | 0.6445 | 29.59 |
| 8. | USD Coin | 1.00 | 25.46 |
| 9. | Polkadot | 15.74 | 14.68 |
| 10. | Uniswap | 17.14 | 9.74 |
Source: coinmarketcap.com (accessed on June 24, 2021)
Customers can utilize the cryptocurrency exchange in order to buy cryptocurrencies. Through this, users can purchase and sell bitcoins or other cryptocurrencies. Many solely provide services for cryptocurrencies trading, meanwhile few platforms provide fiat (e.g., U.S. Dollar or Euro) to cryptocurrency transactions [3]. Similar to the stock market, users use cryptocurrency exchanges to profit on the swings in price. There are three different kinds of cryptocurrency exchanges: Decentralized Exchanges (DEX), which offer an automated mechanism for peer-to-peer trades; Centralized Exchanges (CEX), which are run by a business or organization; and hybrid exchanges, which incorporate both of the aforementioned [3].
Unified Theory of Acceptance and Use of Technology (UTAUT)
A broad range of technology adoption theories investigated many different technologies and structures in many different contexts [10]. This condition made researchers stand in a situation that pointed to some uncertainty among researchers. Researchers were pushed to choose specific characteristics from a wide variety of models and theories. The aim is to reconcile the existing literature concerning the adoption of new technology. The result is a coherent paradigm that united the different perspectives on consumer and innovation adoption was created [11]. Later it was named The Unified Theory of Acceptance and Use of Technology (UTAUT) for Information Technology and System.
The UTAUT model refers to an enhanced version of the Technology Acceptance Model (TAM) [12,13]. According to some study, UTAUT is the most precise and up-to-date TAM used to assess both intended and actual technology utilization [14]. By evaluating and incorporating eight robust theories and models, namely the Technology Acceptance Model (TAM), the Theory of Reasoned Action (TRA), the Innovation Diffusion Theory (IDT), the Social Cognitive Theory (SCT), the Theory of Planned Behaviour (TPB), the Model of P.C. Utilization, a combined TBP/TAM and the Motivational Model, the theory was developed [14]. The UTAUT proposes that performance expectancy, effort expectancy, social influence and facilitating conditions stimulate behavioral intention and usage behavior, with age, gender, voluntariness of use and experience moderating the acceptance of information technology [15].
Performance Expectancy
Performance expectancy happen to be characterized as the benefit gained in improving work performance from using the technology [11]. Performance expectancy has five dimensions based on previous models: perceived usefulness, extrinsic motivation, job fitness, relative advantages and outcome expectations. Previous research described that perceived usefulness is the degree to which an person assumes their job accomplishment shall be improved by utilizing a given system [12,13]. Extrinsic motivation is the belief that people consider doing something because it's believed to be important in obtaining desired results that are separated from the activity itself, such as enhanced job efficiency, compensation, or even promotions [16]. Job fit is how a program’s functionality improves job performance [17]. Relative benefit is the extent to which it is considered that using technology is better than using its compounds [18]. Outcome Expectations are related to outcomes in terms of change in behavior [19,20]. Performance expectancy, a construction bound to utility, has been shown to be the best predictor of behavioral intention [11].
Effort Expectancy
Effort expectancy stand as the easiness of using technology based on the device used [11]. Effort expectancy is measured by three dimensions from the existing models: perceived ease of use, ease of use and complexity. Perceived Ease of Use [12,13] is the extent to which a person assumes it will be effortless to use a device [12]. Complexity is how people perceive technology as understandable [17]. Ease of use is the level to which it is considered that using technology is hard to use [18]. The construct is analogous to the TAM’s perceived ease of use variable or ease of use variable and the variable of complexity that belongs to the diffusion of innovation theory [13].
Social Influence
Social influence act as the behavioral effect that the users perceive from essential others to use particular technology [11]. The influence is quantified in terms of a social context, a subjective norm and an image. Subjective norm refers to the belief of the individual that other individuals who are significant to them believe the activity in question should or should not be performed [21]. Social factors happens to be the internalization of the collective community of the reference group by the person in particular social circumstances and similar interpersonal arrangements that the person has made with others [17]. Image is the extent to which the use of advancement to improve the identity and status within one’s social structure is viewed [18]. The decision of the users to adopt technology is adversely influenced by the social construct beyond the decision thinking of an individual [22].
Facilitating Conditions
The belief that technological systems exist to facilitate people to use of technology is the definition of facilitating conditions [11]. This interpretation encompasses principles represented by three distinct dimensions: perceived behavioral control, facilitating conditions and compatibility. Perceived Behavioral Control represents perceptions of internal and external behavioral constraints and involves self-reliance, resource and technology facilitating [21]. Facilitating Conditions are objective environmental variables that the participants accept to make an act simple, including offering computer assistance [17]. Compatibility is the belief of adopters in the technology’s compatibility with their current values, experiences and desires [18]. Based on the literature review [13], facilitating conditions significantly affect behavioral intention and technology use. The researchers have outlined that the facilitating conditions are good predictors that can be used to identify technology acceptance and use of technology.
Perceived Privacy
Perceived privacy refers to an individual's capacity to manage the communication of their personal information to a platform, including when, how and to what extent such information is shared. [23]. An alternative perspective is the perceived privacy concerns, which refer to the compromise that consumers are ready to make by revealing personal information in exchange for certain advantages [24]. From those views, it can be summed up that privacy is related to giving up certain personal information to gain benefit. Earlier research on privacy has discussed the correlation between perceived privacy and intention. For example, in social media areas, perceived privacy is found to have a significant relationship with the continuance intention of using social media [25]. Besides social media settings, research in China also found that perceived privacy significantly affects digital payment applications’ continuous usage intention [26].
Trust
Using technology, including the internet, mobile applications and financial services delivered online, raises users’ concerns about trust. Trust can be defined as a person’s willingness to take risks to fulfill a need without prior experience or credible, meaningful information [27]. Trust will appear when there is enough level of ability, benevolence and integrity in a specific system [28]. The arrival of new technology such as cryptocurrency and its exchange face concerns of risk and confidence from the user. Past research on the mobile banking sector shows that trust has become a significant antecedent for predicting use intention [27,29].
Perceived Security
Perceived security pertains to the individual's perception of the measures taken by the provider to protect shared information against security breaches, both during and after its transmission through technological means. [30]. A platform is said to have a good level of security when it is able to adequately protect its users from malware, guard their private data and offer other security protections [31]. Previous research on mobile applications reveals that perceived security is a good predictor of intention to install the mobile application through perceived risk [31]. Following that, results in China also show that perceived security significantly affects digital payment application’s continuous usage intention [26].
Behavioral Intentions
Behavioral intention is the consumer’s willingness to act in specific ways to purchase, dispose and use goods or services [32].
Behavioral intention pertains to the degree to which an individual has formed deliberate intentions to either engage in or avoid future behaviors [33]. It can also be defined as the intensity of purchases from buyers devoted to a particular brand [34]. In technology terms, behavioral intention is the individual desire to use a technology system where human beings are the technology users and continue to use that mechanism [11].
Use Behaviour
Past researchers have also shown that past use habits are the antecedents of potential activities in the future [13]. The inclusion of the use behavior construct should be calculated by both the variation and the intensity. To react to the measures, researchers evaluate actions based on the amount of time spent each day, the level of use of technology products, the number of different software applications and the different job tasks enabled by the use of technology products [13].
Antecedents of Cryptocurrency Exchange Use
Over the years, there has been some investigation conducted into the usage of cryptocurrency and block chain technology. A previous study, which was published in various journals, indicated that there is a relationship between the intention to use cryptocurrency and its actual usage. Below are the findings of prior investigations gathered from selected journal articles (Table 2).
Table 2: Previous Study
| Author | Objectives | Findings |
| (Venkatesh, Thong and Xu, 2012 [35]) | Enhance the unified theory of acceptance and use of technology (UTAUT) to gather insights into the acceptance and utilization of technology among consumers. |
|
| (Krombholz, Judmayer, Gusenbauer and Weippl, 2017 [36]) | Examine how consumers perceive security, privacy and anonymity in the Bitcoin ecosystem. |
|
| (Mendoza-Tello, Mora, Pujol-Lopez and Lytras, 2018 [37]) | Examine how social media has influenced people's trust in and desire to use cryptocurrency for electronic payments. |
|
| (Shahzad, Xiu, Wang and Shahbaz, 2018 [38]) | Study on how popular cryptocurrencies, especially Bitcoin, are in China's mainland. |
|
| Arias-Oliva, Pelegrín-Borondo and Matías-Clavero [39] | Examine the crucial elements from the standpoint of customer behavior for the successful development of a cryptocurrency. |
|
| (Merhi, Hone and Tarhini, 2019 [40]) | Investigate the main elements that could help or hinder the use of mobile banking services in different cultural contexts. |
|
| (Sobhanifard and Sadatfarizani, 2019 [9]) | Investigate a mixed model for the elements that encourage cryptocurrency use. |
|
| (Albayati, Kim and Rho, 2020 [41]) | To determine the value of the technology, research the behavioral elements that affect users' intents for blockchain-based cryptocurrency transactions. |
|
| (Gil-Cordero, Cabrera-Sánchez and Arrás-Cortés [42], | Establish the key determinants of cryptocurrency use by presenting a model in which trust is a key component. |
|
| (Saif Almuraqab, 2020 [43]) | Examine how the UAE's population feels about the use of digital currency. |
|
| (Sohaib, Hussain, Asif, Ahmad and Mazzara, 2020 [44]) | Investigate the use of a two-step approach that combines analysis of artificial neural networks (ANNs) and partial least squares structural equation modelling (PLS-SEM), new technology acceptance-based research can be improved. |
|
| (Steinmetz, von Meduna, Ante and Fiedler, 2021 [45]) | Examine the socioeconomic and demographic factors that influence awareness of cryptocurrencies and blockchains, as well as present and past ownership and the degree of faith in cryptocurrencies. |
|
| (Almarashdeh et al., 2021 [46]) | Examine the attempts to address the issues surrounding the adoption of bitcoin. |
|
| (Nadeem, Liu, Pitafi, Younis and Xu, 2021 [47]) | Analyse how perceived usability, transaction processing, security and control affect perceptions of value and intention to use Bitcoin. |
|
| (Stix, 2021 [48]) | Examine the characteristics of consumers who possess crypto-assets and their related motivations. |
|
Table 2: Continued
| Author | Objectives | Findings |
| (Ter Ji-Xi, Salamzadeh and Teoh, 2021 [49]) | Investigate empirically the variables that affect consumers' behavioral intentions (B.I.) to adopt cryptocurrencies as a means of exchange. |
|
Literature Synthesis Analysis
The study begins with problem identification, determining research objectives and establishing research questions. Defining concepts are essential steps to ensure aligned understanding related to the terminology used in this research. Following that, constructing the research will be done through a literature review. The primary aim of a literature review is to offer a detailed summary of technology adoption and research on cryptocurrency. Other than that, the literature review also helps to clarify the logical continuity between earlier and current studies. Literature for this study is gathered from books, journal articles and research papers. Based on the examined literature, research findings will be obtained through analysis. In the end, the conclusion will be drawn based on the findings of the research. Suggestions related to future research are also offered.
The literature review shows the relationship between researched variables. The first relationship is between behavioral intention and use behavior. They have a significant and positive relationship. Other than that, behavioral intention is also affected by performance expectancy, effort expectancy, social influence and facilitating conditions. The suggested framework is depicted below to illustrate the anticipated connection among each variable.
Additional variables such as perceived privacy, trust and perceived security were added as the variable that influences cryptocurrency exchange use behavior. This addition of variables is based on the fact that financial activity has a higher risk of fraud, scams and other criminal activities (Figure 2).

Figure 2: Theoretical Framework
Source: Author
This research has successfully reviewed the literature related to cryptocurrency exchange usage. The variables that were found to affect user behavior are performance expectancy, effort expectancy, social influence, facilitating conditions, perceived privacy, trust and perceived security. This research can be used as the foundation to develop further research related to the factors affecting cryptocurrency exchange adoption. Besides, this research also adds literature related to cryptocurrency exchange adoption and provides views for the provider of a cryptocurrency exchange to understand what factors affect the adoption of cryptocurrency in general.
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