The digital era has revolutionized the way content is created, consumed, and monetized. Content creators face new opportunities and challenges in reaching their audiences and establishing sustainable revenue streams. This research paper explores the potential of an innovative platform that leverages the power of artificial intelligence (AI) and blockchain technology to empower content creators in sharing and selling their work through Non-Fungible Tokens (NFTs). This platform integrates unique features, including text-to-image generation for creative inspiration, a recommendation engine for content discovery, and a collaborative chat room fostering direct interaction among creators and their audiences. The objective of this paper is to provide a thorough examination of the platform's architecture, functionalities, and the potential impact it can have on the content creation ecosystem, thereby offering a comprehensive understanding of its structure and design.
Cryptocurrencies have become a popular discussion in the global economy as an increasing number of people adopt these despites their recent conception. As a result, governments worldwide are racing to incorporate assets into their legal frameworks. While Sri Lanka does not have a legal framework for such assets, there is a growing base for cryptocurrency investors in the country. This study analyzes the antecedents that drive Sri Lankan investors towards cryptocurrency investments and the influence of commonly known behavioral biases among these investors to examine the validity of behavioral finance theories in cryptocurrency markets. A structured questionnaire was distributed on social media platforms, which yielded 158 responses. Descriptive analysis was used to evaluate the demographic characteristics of the respondents, and PLS-SEM was used to examine the path model analysis of associations among the study variables. The findings suggest that the majority of respondents are males under 35 years of age with high educational qualifications, and that technical, economic, social, and personal factors are their main adoption motivators. The analysis of behavioral biases suggests that heuristic-driven and frame-dependent biases influence cryptocurrency adoption decisions. As a highly discussed topic in today’s world, there is a lack of studies focusing on the adoption motivators and behavioral biases of cryptocurrency investors. These findings provide valuable insights and enrich the existing knowledge in the domain of cryptocurrency, as this study is a pioneering endeavor focusing on behavioral biases in cryptocurrency markets.
Purpose The study aims to explore the digital fashion trend within the Metaverse, characterized by non-fungible tokens (NFTs), across Twitter networks. Integrating theories of diffusion of innovation, two-step flow of communication and self-efficacy, the authors aimed to uncover the diffusion structure and the influencer's social roles undertaken by social entities in fostering communication and collaboration for the advancement of Metaverse fashion. Design/methodology/approach Social network analysis examined the critical graph metrics to profile, visualize, and cluster the unstructured network data. The authors used the NodeXL program to analyze two hashtag keyword networks, “#metaverse fashion” and “#metawear,” using Twitter API data. Cluster, semantic, and time series analyses were performed to visualize the contents and contexts of communication and collaboration in the diffusion of Metaverse fashion. Findings The results unraveled the “broadcast network” structure and the influencers' social roles of opinion leaders and market mavens within Twitter's “#metaverse fashion” diffusion. The roles of innovators and early adopters among influencers were comparable in collaborating within the competition venues, promoting awareness and participation in digital fashion diffusion during specific “fad” periods, particularly when digital fashion NFTs and cryptocurrencies became intertwined with the competition in the Metaverse. Originality/value The study contributed to theory building by integrating three theories, emphasizing effective communication and collaboration among influencers, organizations, and competition venues in broadcasting digital fashion within shared networks. The validation of multi-faceted Social Network Analysis was crucial for timely insights, highlighting the critical digital fashion equity in capturing consumers' attention and driving engagement and ownership of Metaverse fashion.
Digital Marketing and Social Media
Consumer Behavior in Brand Consumption and Identification
Daiva Abisha Sujoko, Muhammad Fariz Fahreza, Robertus Nugroho Perwiro Atmojo
This study investigated the intention to use cryptocurrency exchange among cryptocurrency investors of the young generation in Jabodetabek. Adopting the Technology Acceptance Model (TAM), a theoretical model was acquired with three cryptocurrency exchange features were taken into account: security and privacy, fiat deposit and withdrawal, and user interface and user experience. Data collected from a purposive sample of 355 young cryptocurrency investors were computed and analyzed through SmartPLS with Structural Equation Modeling (SEM) method. The findings showed that the three cryptocurrency exchange features positively affect both perceived usefulness and perceived ease of use of cryptocurrency exchange, therefore contributing a positive substantial effect on the behavioral intention to use cryptocurrency exchange.
Cryptocurrency is receiving widespread acceptance in the international market. Unfortunately, little attention is focused on the full identification of the cryptocurrency adoption factors, especially when it comes to emerging nations like Saudi Arabia. The current investigation is aimed at investigating whether the use of dual structural equation modelling and artificial neural network (SEM-ANN) would permit a better comprehension of the determinants of cryptocurrency adoption than the single-step PLS-SEM technique and explore the predictors of cryptocurrency adoption. An extended unified theory of acceptance and use of technology (UTAUT) model was used. A sample of 344 responses from Saudi Arabian students at public universities was used to verify the model. Unlike the majority of existing studies that were based on a single-step PLS-SEM approach, this investigation employed a superior statistical approach, the dual SEM-ANN approach, considered a unique methodological approach that can recognise variables’ connections that are both linear and nonlinear and predict relationships with higher accuracy. Moreover, the dual SEM-ANN analysis revealed security as the most important factor influencing whether users would accept cryptocurrency, followed by effort expectancy and awareness. The application of the dual SEM-ANN technique and the extension of the UTAUT model with security and awareness constructs have enhanced the existing technology adoption literature. Additionally, methodological, theoretical, and practical contributions were offered by this study.
William Davin D. Perez, Yogi Tri Prasetyo, Maela Madel L. Cahigas, Satria Fadil Persada · 6 authors
The prominent form of Non-Fungible Token (NFT) is found in the gaming industry. NFT games received immense attention during the COVID-19 pandemic because of their play-to-earn model. NFT gamers can enjoy and increase their finances in their spare time. Hence, the researchers utilized Structural Equation Modeling (SEM) to investigate the intention and immersive behaviors of 1082 respondents. The modified framework from the Theory of Planned Behavior (TPB) and Hedonic Motivation System Adoption Model (HMSAM) underwent SEM tests. These theories and methods were used to analyze relationships among hypotheses and assess factors influencing NFT game engagement. The results showed that hedonic motivation produced positive and significant influences on perceived usefulness, curiosity, joy, attitude, subjective norms, and perceived behavioral control. Subjective norms significantly influenced perceived ease of use. In due course, perceived ease of use yielded positive and significant effects on perceived usefulness, joy, attitude, and perceived behavioral control. Moreover, perceived usefulness, curiosity, joy, attitude, and perceived behavioral control had significant positive effects on behavioral intention. In addition, perceived usefulness, curiosity, joy, and attitude significantly and positively affected immersion. Meanwhile, only four hypotheses were not supported by the study. These findings were translated into theoretical and managerial implications to contribute to the academe given the strong the change of behavior of users towards NFT games during the pandemic; gaming industry since they will be able to develop, improve and create a new ecosystem in the gaming space, and NFT stakeholders since they will benefit from the development that will influence this study.
Purpose The rapid increase of use of online platforms by the customers in the hospitality and tourism industry has invited the needs for using digital platforms by the concerned industry. In such a scenario, the purpose of this study is to examine how adoption of blockchain technology in hospitality and tourism industry could impact the sustainability performance of the organizations under the moderating influence of technological turbulence and senior leadership support. Design/methodology/approach With the help of existing literature, stakeholder theory and dynamic capability view (DCV), a theoretical model is proposed. It was validated using the PLS-SEM technique with 311 respondents who have different managerial positions in the hospitality and tourism industry. The proposed theoretical model is unique and effective as it has high explanatory power. Findings The study demonstrates the importance of adopting BCT in the hospitality and tourism sector and how it could improve the sustainability performance of organizations in that sector. This study also finds that there is a significant moderating impact of technological turbulence and senior leadership support on such organizations that adopt BCT. Research limitations/implications This study provides valuable inputs to practitioners in the industry by showing how adopting BCT can improve their sustainability performance. The study also demonstrates that leaders and the managers should support adopting BCT in their organizations and they can help to overcome any technological challenges that might come up while adopting it. Originality/value The present study proposes a unique theoretical model which was also validated using a statistical approach. Moreover, both stakeholder theory and dynamic capability view were integrated to propose the theoretical model, which is a novel attempt so far as adoption of BCT in hospitality and tourism industry is concerned.
This study is based on the Expectation Confirmation Model and the Information System Success Model to evaluate the influence of perceived usefulness and satisfaction towards online cryptocurrency exchanges. Therefore, this study deconstructs the “confirmation” component of the information system continuous use model into three different components: confirmation of information quality, confirmation of system quality, and confirmation of service quality, to investigate the factors that influence the desire to use online cryptocurrency exchanges continuously. This research used a questionnaire methodology, with data collected from 248 users of cryptocurrency platforms. This study found that perceived usefulness and satisfaction significantly correlated with continuance intention. Furthermore, information quality, system quality, and service quality significantly correlated with perceived usefulness and satisfaction. Finally, perceived usefulness was found to be significantly correlated with satisfaction.
Purpose Cryptocurrency has emerged as a significant component on the surface of the financial industry. With its growing popularity and blockchain as an underlying technology, cryptocurrency has the potential to disrupt the digital payments market. In light of this, this study aims to identify and empirically validate factors that influence the continuous intention of customers toward the adoption of cryptocurrency. Design/methodology/approach The study extends consumption value theory by incorporating additional variables – monetary value, perceived trust and perceived risk – to enhance the predictive power of the proposed model. The data were analyzed using the partial least square technique on the sample of 285 customers. Findings The results indicate that trust is the most significant factor to influence customers’ intention to use cryptocurrency, followed by conditional value, epistemic value, emotional value and monetary value. The authors also found the significant moderating effect of personal innovativeness on behavioral intention and actual usage of cryptocurrency. Practical implications The analysis of the study gives policymakers valuable information for the establishment of the regulatory framework that supports innovation while protecting the rights of the consumer. Originality/value The study embeds great theoretical and practical significance by generating a new technical thread that will facilitate multiple players to use their resources optimally.
Purpose This paper explores sports consumer interest in virtual environments (VE) and Web3 activations, specifically how the level of psychological involvement, consumers' generational cohorts and previous experience with VE and Web3 activations influence consumer interest in VE and Web3 products and services related to their favorite sports team. Design/methodology/approach A survey instrument was developed and distributed online resulting in a sample size of n = 526. The survey was designed to measure consumers' psychological involvement with their favorite sports team based on the Psychological Continuum Model, and to determine respondents' interest in potential VE and Web3 activations. Finally, the survey collected demographical information and data regarding respondents' previous experience with VE and Web3 applications. Multiple regression analysis was subsequently conducted to predict the impact of (1) psychological involvement, (2) consumers' generational cohorts and (3) previous experience with VE and Web3 activations on the dependent variable consumer interest in VE and Web3 activations. Findings The regression model showed a significant impact of the independent variables on consumer interest in VE and Web3 activations with consumer involvement exerting the highest influence. Consumers' previous experience with VE and Web3 applications also seems to trigger interest, in line with the consumption capital theory. This study also suggests that younger generational cohorts are not intrinsically more attracted to VE and Web3 activations but their interest seems to depend on the type of activation. Research limitations/implications This study is intended as a first assessment of independent variables that may have an impact on sports consumer interest in VE and Web3 activations. Further research is needed to assess the impact these variables combined with other indicators may have on consumer interest, for instance by employing a Structural Equation Modelling (SEM) approach. This research included selected VE and Web3 applications comprising online games, NFTs and cryptocurrencies, to calculate a VE and Web3 Literacy Score for the purpose of this paper. However, the “umbrella term Web3” (Wang et al. , 2022) could indicate a number of additional applications not considered in this research. Future studies could examine sports consumer experience with additional Web3 activations when assessing VE and Web3 Literacy. Practical implications The results of this research imply the need for a diversification of the VE and Web3 portfolio offered by sports teams to cater to different consumer segments. Upcoming challenges for sports teams include motivating younger consumers to take an interest in Web3 activations beyond gaming. Additionally, sports teams should encourage loyal supporters in the advanced stages of the PCM who possess limited VE and Web3 experience, to engage in VE and Web3 activations through simplified offers complementing their overall fan experience. Originality/value VE and Web3 activations currently offered by sports teams are still in their early stages and data underpinning their success is scarce. This is the first study examining variables that may influence consumer interest in a sports context.
Digital Marketing and Social Media
Technology Adoption and User Behaviour
Consumer Behavior in Brand Consumption and Identification
Abstract Cryptocurrency has become a hot area of global investment. Despite the increasing regulation of cryptocurrencies, some investors are still obsessed with investing in cryptocurrencies, and the reasons behind this are worth exploring. Emerging studies from a cryptocurrency behavioural perspective demonstrate that investments in cryptocurrency are influenced by a variety of factors, but ignore the objective factor of the political environment. Based on social norms theory, this article explores the impact of group norms and policy norms on Chinese investors’ autonomous motivation to invest in cryptocurrencies. This article adopts a questionnaire and investigates 727 Chinese investors. Research has found that: (1) Cryptocurrency investment is influenced by group norms and policy norms, and autonomous motivation serves as a mediator in the process. Group norms promote autonomous motivation among investors, thereby increasing cryptocurrency investment. Conversely, policy norms inhibit investors’ autonomous motivation and reduce cryptocurrency investment. (2) Cryptocurrency knowledge plays a moderating role between social norms and autonomous motivation. The moderating effects of investors’ subjective and objective knowledge of cryptocurrency in the model have no significant differences, showing a consistent suppressing effect on autonomous motivation. The findings suggest governments should focus on both regulations and public opinion. On the one hand, the government needs to strengthen and improve the laws and regulations related to cryptocurrencies. On the other hand, the government also needs to strengthen social supervision and exercise necessary control in the dissemination of cryptocurrency information.
Abstract This research investigates the extent to which sponsorships can be utilised to foster trust and reduce barriers to adopting new technologies. Using Crypto.com's sponsorship of the 2022 FIFA World Cup as the context, this mixed‐methods study utilises innovation resistance theory (IRT) and trust transfer theory (TTT) to investigate the extent to which such a sponsorship can increase trust and reduce barriers in innovative technologies such as cryptoassets, while also filling a research gap concerning consumer resistance to innovations in digital financial products and services. The findings of study 1, using a survey ( n = 1081), and study 2 using interviews ( n = 24) reveal that a positive image of sponsorship significantly influences favourability and interest, and trust of the product of the sponsor which subsequently reduces psychological barriers to adoption. Integrating the theoretical viewpoints of IRT and TTT, this study enhances our conceptual understanding regarding the psychological dimension of sponsorship and the extent to which a sponsorship generates interest, giving assurance and trust in the sponsor's product, and removing uncertainty; thus, reducing barriers to adoption.
Open access
Digital Marketing and Social Media
Technology Adoption and User Behaviour
Consumer Behavior in Brand Consumption and Identification
Conspicuous and inconspicuous consumption of luxury goods in a digital world: implications for advertisers this special issue focuses on the very intriguing types of luxury consumption that are shaping industry paradigms and trends, especially given the digital marketing revolution that is impacting the way luxury firms create and implement strategies to engage customers and drive sales.luxury brands communicate style, exclusivity, identity, uniqueness, superior quality, and hedonic value, all of which signal status to extended networks (Shukla and Purani 2012;Pangarkar, Patel, and Kumar 2023).While recent events, such as the CoVid-19 pandemic and the economic recession have impacted economic conditions, as per a Euromonitor international report, the luxury industry continued its impressive growth to reach USd 1.2 trillion in 2022, with a steady growth rate of around 6% (roberts 2022).according to a Kearney (2022), Chinese luxury consumers were at the forefront of this recovery, followed by US and German consumers, which led to many luxury brands such as Kering, lVMH, and Herms experiencing resurgence after a temporary setback.Most luxury brands were skeptical initially as the digital landscape started evolving and social media surge transformations were observed (Heine and Berghaus 2014).However, through being flexible and adaptive, luxury brands have employed a number of most advanced digital tools and techniques to target, attract, engage, and retain customers through digital marketing strategies and technologies such as phygital, artificial intelligence, virtual reality, augmented reality, influencer advertising, and non-fungible tokens (NFts).For instance, Gucci has created a virtual world on roblox, a popular game among young generation and also develop Gucci Vault which is an experimental online concept space that holds its NFts and other Web3 projects.Similarly, Balenciaga, made a pioneering move by unveiling their 2020 collection through a video game fashion show and dressed Fortnite game characters in the new Fall 2021 collection, which demonstrates their readiness to adopt themselves in the metaverse.against the backdrop of this digital marketing revolution, luxury advertisers need to create, adapt, and introduce innovative new strategies targeted at the various segments of luxury consumers.While luxury has long been associated with conspicuous consumption reflecting ostentatious behavior targeted at earning social recognition and signaling of wealth (Shukla 2012;Pangarkar, arora, and Shukla 2022), there are other types of consumers, such as inconspicuous consumption consumers (Berger and Ward 2010) and inconspicuous minimalism consumers (Pangarkar, Shukla, and taylor 2021) that are rapidly gaining attention, experiencing growth, and therefore warranting further exploration.in particular, the focus of such luxury consumers is on muted designs, subtle logos, discreet styles and fashions, and simple cuts, all of which signal distinction and differentiation to insiders or those in the know (Han, Nunes, and drze 2010; Pangarkar, Shukla, and taylor 2021).While luxury scholars have conducted research in these areas, it is important to explore, investigate, and analyze the impact of these different types of consumption on
Open access
Consumer Retail Behavior Studies
Consumer Behavior in Brand Consumption and Identification
Purpose Access to media is more available now than ever before, both physically and digitally. This study was used to investigate the underlying personality traits that influence the decision to purchase either physical or digital books, and extend theory on access to art and provide a unique lens through which marketers can sell digital media. Design/methodology/approach Study 1 is a field study in which data were collected from several comic book readers and collectors to look at the role that psychological ownership plays in influencing the likelihood of buying physical or digital comics. Specifically, study 1 includes consumers' need for uniqueness and tech savviness as potential influencers. Study 2 extends the findings of study into a new context and manipulates, rather than measures, the identity of the participants. Study 2 looks at the effects of turning a digital object into a non-fungible token (NFT). Findings This paper demonstrates that consumers who have a high consumer need for uniqueness (CNFU) are more likely to prefer physical media to digital media. Further, it is shown that preference for physical media leads, on average, to more purchases and that the consumer's psychological ownership mediates the effects of CNFU. In addition, this paper shows that higher degrees of tech savviness led to a preference for digital media. Finally, this paper shows that when consumers identify with a collector identity, turning a digital item into an NFT increases their preference for that object. Originality/value This work builds off recent research into physical and digital media and is one of the first to examine the specific personality types that prefer each.
Digital Marketing and Social Media
Consumer Behavior in Brand Consumption and Identification
Despite its relatively brief history, cryptocurrency has already had a profound impact on the economy, with some predicting that it will eventually replace traditional fiat currencies. Historically, it had dark associations with illegal activities in the early days, although perceptions and associations likely have, in recent years, changed for the better. Thus, understanding how people perceive the morality of cryptocurrency currently forms the motivation of the current research. We, in particular, examine associations dependent on political ideology. Across both a large-scale analysis of Twitter posts ( N = 959,393) and controlled survey research ( N = 487), we find that cryptocurrency is currently best understood as being more strongly linked to conservative vs. liberal moral foundations. Cryptocurrency-related posts were more likely to express conservative moral foundations (Authority, Purity, and Loyalty) rather than liberal moral foundations (Fairness and Care), and individual endorsement of these conservative moral foundations was associated with increased interest in crypto investment.
Purpose The purpose of this study is to provide a literature review of the past literature on the use of blockchain for attaining sustainability in start-ups, covering major characteristics of current findings, limitations and prospective study possibilities. Design/methodology/approach Papers that included the term “Blockchain,” “Sustainability” and “Start-ups” were considered for the analysis. Biblioshiny package under the R programming tool was considered for a detailed paper analysis. Findings Numerous sectors are quickly adopting blockchain technology, which has enormous potential to remove middlemen and boost sustainability in start-ups. Research limitations/implications This research is limited to 147 papers from the Scopus database through 2022. Practical implications This paper stresses the crucial part that blockchain technology has played in igniting a conversation about innovation and technology. This research will aid in advancing the researcher’s knowledge of blockchain technology in start-ups. Social implications Blockchain technology will give transparency and sustainable product or services to consumers of the start-ups. Originality/value The novelty of this research is based on its presentation of an organized and thorough literature evaluation, which defines the current state of the art concerning the use of blockchain for sustainability in start-ups. To create a sustainable start-up, a thorough study of how the information gained in respect of its implementation might be spread into the start-ups is presented.
Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Social implications 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. Originality/value 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.
Wei Quan, Seongseop Kim, Tadesse Bekele Hailu, Wisal Ahmad · 5 authors
Mobile payment is already the main financial transaction method for travellers, whereas cryptocurrency payment has emerged more recently. This study aimed to compare and reveal the intentions and research implications of the adoption of the two payment methods. The novelty of this study lies in the inclusion of the technological dimensions, perceived security, perceived risk, and perceived convenience that influence Korean and Chinese consumers’ behavioural intentions in the technology acceptance model (TAM). The results of this empirical study will help expand the industry's perspective on and understanding of this innovation in technology, and facilitate the development of related policies in the tourism and hospitality industry.
Nils Augustin, Andreas Eckhardt, Alexander Willem de Jong
Abstract Blockchain technology is argued to drastically change the way we operate within an organizational context, with decentralized autonomous organizations (DAOs) representing a first manifestation of this ongoing trend. DAOs are characterized by an online community that builds the organization’s backbone by providing knowledge and human resources in a transparent, virtual manner, as well as the use of blockchain technology to coordinate their endeavor. Nevertheless, current research highlights the conceptual ambiguity of this emerging phenomenon, leading to potential issues for practitioners and researchers. To provide further clarity on the phenomenon, we study DAOs through the perspective of their members with a two-staged approach by combining elements of a netnographic approach and structural topic modeling. Our findings highlight several contextual features surrounding DAOs, such as their members’ underlying beliefs and views, helping to embed DAOs in existing research streams.
Ayman Abdalmajeed Alsmadi, Ahmed Shuhaiber, Khaled Saleh Al-Omoush
Purpose The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies. Design/methodology/approach A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses. Findings The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective. Originality/value This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.
Abdou Illia, Assion Lawson‐Body, Simon Lee, Gurkan Akalin
Cryptocurrencies have become a global phenomenon, and the number of registered users of cryptocurrency exchange platforms has grown worldwide. However, only a small number of the registered users are active users that engage in actual transactions. In this study, the authors used a multi-theory approach to identify the key factors of the adoption of cryptocurrency exchanges and to develop a conceptual model that would have a potentially high explanatory power. The proposed model emphasizes the role of psychological innovation resistance, functional innovation resistance, technology readiness and trust, perceived risk and risk propensity, subjective norms, and critical mass of users. The authors discuss the model along with the research propositions it implies and the theoretical and practical implications of the study.
Blockchain, also known as Distributed Ledger Technology (DLT), has attracted a considerable lot of attention from academics and industry professionals. When it comes to the tourism industry, the exploitation of blockchain technology could result in significant gains. Among the possible uses are digital identity management, tokenization of frequent flyer programs, accommodation, and transportation. After conducting a comprehensive review of the scientific literature published in this field over the past five years, we identify the most significant blockchain-enabled services and uses of this technology within the context of smart tourism. We analyze the benefits of blockchain technology for the travel industry, local economies, and tourists, laying the groundwork for future studies. Moreover, we present a novel context-aware mobile application that uses artificial intelligence and blockchain to create a hybrid cyber-smart tourist application.