Cryptocurrencies have become one of the most traded financial assets in the last decade. The first half of 2022 will not be easily forgotten by the crypto faithful as it shifted investor sentiment after a monster cryptocurrency rally in 2021 that saw bitcoin (BTC) and altcoins scale multiple record peaks. Just as users were getting comfortable with their passive DeFi incomes, Terra and its non-collaterised stablecoin collapsed in a sensational turn of events. Three Arrows Capital (3AC), a crypto hedge fund that managed assets worth about $10bn at its peak, went bankrupt as falling crypto prices forced liquidations of collateralized loans and leveraged trading positions across the industry, aggravating the sell-off. Investor sentiment plummeted as crypto lending platforms like Celsius and Babel suspended withdrawals for clients. Investor sentiment plummeted as crypto lending platforms like Celsius and Babel suspended withdrawals for clients. The future of cryptocurrency still remains unclear. Given all these mess, we would like to know what factors could actually influence consumer adoption of cryptocurrency from here on out.The purpose of this research is to study factors influencing consumer to adopt cryptocurrency. These factors include seven independent variables: Convenience (CV), Popularity (PL), Usefulness (UF), Credibility (CD), Recommendations (RC), Price Stability (PS) and Risk (RK) and one dependent variable: Crypto Behavior (BH). 400 sample were collected using electronic questionnaire through social media. We used Structural Equation Models (SEM) for data analysis. The result shows that Since the RMSEA, which is an absolute fit index that assesses how far our hypothesized model is from a perfect model, for this model is .047 (<.05) which strongly indicates a âclose fitâ and the Goodness of Fit Index (GFI) value is .934 (>.90), the model seems to fit well according to the descriptive measures of fit. More importantly Popularity (PL), Usefulness (UF), Credibility (CD), Recommendations (RC) and Risk (RK) seem to have significant effects on influencing consumer to adopt cryptocurrency due to their p-values are both less than .05. That means as long as cryptocurrency is becoming more popular, useful, credible and highly recommended by key stakeholders (friends & family, professionals and influencers) with better risk management, consumer will be more welcome to adopt cryptocurrency as both day-to-day currency and investment alternative. One interesting finding is that Price Stability (PS) of cryptocurrency that weâve seen over and over again especially post-covid doesnât seem to significantly impact much of consumer adoption.
Non-Fungible Tokens (NFTs) have gained significant popularity as a means of ownership and authentication within the metaverse, a virtual reality space where users interact with each other using avatars.In fact, it has been considered to be the legal tender of the metaverse.As the Metaverse and NFTs continue to revolutionize various industries, their impact on Intellectual Property (IP) rights has raised critical concern especially regarding its effect on IP lawyers.It is against this backdrop that this paper delves into the intersection of NFTs and the metaverse by examining the implications, prospects and challenges faced by IP lawyers in an increasingly digitalized world.It also aims to provide valuable insights into the evolving landscape of IP law in relation to NFTs and the metaverse.
Buying and selling real estate is time consuming and labor intensive, requires many intermediaries, and incurs high fees. Blockchain technology provides the real estate industry with a reliable means of tracking transactions and increases trust between the parties involved. Despite the benefits of blockchain, its adoption in the real estate industry is still in its infancy. Therefore, we investigate the factors that influence the acceptance of blockchain technology by buyers and sellers of real estate. A research model was designed based on the combined strengths of the unified theory of technology acceptance and use model and the technology readiness index model. Data were collected from 301 real estate buyers and sellers and analyzed using the partial least squares method. The study found that real estate stakeholders should focus on psychological factors rather than technological factors when adopting blockchain. This study adds to the existing body of knowledge and provides valuable insights to real estate stakeholders on how to implement blockchain technology.
With the increasing demand of virtual currency, cryptocurrencies are gaining popularity throughout the world for transactions be it legal or illegal. The yields returned from investment in crypto currency these days are huge but their existence and reliability has always been questioned. A cryptocurrency uses cryptography for implementing security. In spite of several problems in crypto currencies, the growing success of Bitcoin since its launch has emerged in a number of organizations coming forward with substitute cryptocurrencies .This study tries to present a comparison of six famous cryptocurrencies - Bitcoin, Ethereum, Litecoin, Dash, Monero and IOTA in the light of their volatility and strengths in present times and also discusses their current trends. A thorough study of literature showed that no paper has been presented keeping in mind only these six currencies, so this article is the first of its kind to present a comparison of technicalities of these cryptocurrencies.
This article explores the concept of blockchain and its applications in customs operations, focusing on its ability to enhance efficiency, security, and transparency. The key features of blockchain, including decentralization, transparency, security, and immutability, are highlighted. The applications of blockchain in customs are discussed, including supply chain traceability, smart contracts, trade finance and payments, risk management and compliance, and intellectual property rights protection. The abstract concludes by emphasizing the transformative potential of blockchain in streamlining customs processes, mitigating risks, combating fraud, and fostering international trade with greater trust and efficiency
The investment world today is vying for profit from investing in cryptocurrencies, so this encourages young people, especially students, to invest in cryptocurrencies, but financial literacy, herding behavior, and risk perception are things that influence investment decisions. The aim of this study was to identify the factors that influence studentsâ decisions to invest in cryptocurrencies. The research method used is quantitative, using questionnaires distributed to students in Bali; the sample in this study was active students currently studying at universities in Bali, Indonesia, totaling 179 samples; questionnaires were distributed using the Google form and analyzed using Warp PLS. The results show that investment decisions, herding behavior, and risk perception are all significantly and positively influenced by financial literacy. Perceived risk and herding behavior have a significant influence on investment decisions. Perceived risk and herding behavior can partially mediate financial literacy on investment decisions. The influence of financial literacy on investment decisions will be stronger if it is through perceived risk with a coefficient value of 0.412 and herding behavior with a coefficient value of 0.422. Based on the studyâs conclusion, it is important for investors, especially students, to prioritize improving their financial literacy before investing in cryptocurrencies. Additionally, investors should be aware of the potential impact of herding behavior and perceived risk on their investment decisions and take steps to mitigate their influence.
Cryptocurrencies and financial systems have become prominent in recent years.Artificial Intelligence is needed to decrease investing risk, and anticipate price, trend, portfolio creation, and fraud.The paper highlights current AI research on Bitcoin, the most prominent cryptocurrency.The article reviews AI and IoT approaches related to cryptocurrencies and Bitcoin.In addition, a number of potential study possibilities and areas for improving the effectiveness of the findings were noted.AI and cybersecurity have grown rapidly in recent years.Its adoption has greatly benefited finance, institutions, markets, and law.AI simulates intelligent human-like devices.Finance AI is altering money communication.It optimizes credit judgements, marketing, quantitative analysis, as well as economic risk management for the financial business.This study examined artificial intelligence's current effects.It's about AI's attractiveness, conflict, possibilities, and career impact.The research study utilizes AI to help banks produce funds and deliver excellent customer service.The rising Indonesian banking sector-BRI, BNI, Mandiri, etc. has digitally incorporated chat-bots that help clients.
The aim of the article is to present a snapshot in time, of the current state in cryptocurrencies, the values and risks associated to blockchains. With emergence of over 20,000 crypto projects, the first objective of this article is to present the stage as it is in 2023, with historical overview since Satoshi presented the first paper on decentralised blockchains, until today. Second objective of the article is to review the values and risks associated to cryptocurrencies, and to clarify the differences between cryptocurrencies from blockchain technologies. The research questions that drive this article are related determining if the blockchain technology an innovation or its already obsolete technology? Are there any significant risks from cryptocurrencies? And are the potential values to society and economy worth pursuing? Would developed or developing countries benefit more from these technologies? And which blockchain projects will survive in the long run? In other words, where is the money and is there money or just hype. The review discusses the high probability that some crypto projects will fail, and given the vast number of cryptos, the article acknowledges that many of these projects are nothing more than ponzies. These are discussed and acknowledged, then the focus is shifted to the real-world use cases of blockchain projects.
Bousselham El haddaoui, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia
Decentralized Web (Web3) and Finance (DeFi) have become the main discussion topic in research and industry fields.Cryptocurrencies, as an essential part of DeFi, enjoyed the interest of many stakeholders such as companies, professionals, researchers, and even common citizens eager to benefit from the proposed ecosystems.Although previous research studies focused on establishing price prediction systems using Sentiment Analysis (SA) techniques, the main focus of these studies was the performance of the predictive system rather than the accuracy and efficiency of the used models.In our work, we address two research questions; the predictability of cryptocurrency price based on past social and technical information, and the effect of social features on cryptocurrency price fluctuations using an SA and a Time Series approach.A combination of selected social and technical features was processed and reframed as a prediction problem, then studied to assess the ability of our model to predict the desired price.We noted that there is both an explicit correlation for some considered features and implicit for others, also social features including overall positive and neutral sentiment, and community engagement improved the performance of our model.
NFT, or non-fungible tokens, are online certificates of ownership that can be traded based on data units stored in digital ledgers belonging to blockchain technology.This is non-fungible, meaning that it cannot be exchanged and is unique.NFT has been around since 2014.But now, it is increasingly being considered as a practical method for trading digital artwork or art.To buy NFT assets, you require special coins in the form of NFT coins, which consist of various types, such as mana coins, sand, axes, and other NFT coins.The NFT coins are used to process NFT purchase transactions.The movement of NFT coins over time is relatively erratic and uncertain.This NFT coin price prediction will be very useful for investors to know how the investment flow of each price works because the price of each NFT coin will change from time to time.through the literature study stage, interviews, and viewing daily NFT coin price data where the attributes used are date, open, high, low, close, and volume.The method used in this research is k-Nearest Neighbours.Dataset collection through the website www.coinmarketcap.comfor the period January 1, 2019 to December 31, 2021.Then the data processing is carried out.An accurate NFT coin price prediction model can help investors in considering transaction decisions because NFT coin prices, which tend to be non-linear, will allow investors to make predictions.This study aims to obtain the predicted value of NFT coins using the k-Nearest Neighbours algorithm.
Businesses are keen to implement new technologies like virtual reality, artificial intelligence (AI), augmented reality, big data, etc. as they see profitable business applications. The supply chain and the larger business community have been paying attention to Metaverse as one of the technology disruptions. The metaverse is being enhanced by several variables, including mobile-based always-on access and virtual currency linkage with reality. Additionally, the growth of the Metaverse and Non-Fungible Tokens (NFT) has taken the metaverse to a new level. This paper performs a comprehensive analysis of the metaverse's attributes, uses, and prospects in global supply chains. The current metaverse-focused study discloses the state of the research and outlines future research goals by reviewing and analysing recent articles that reveal metaverse uses across multiple supply chain activities. It has been demonstrated that the metaverse has several features that help businesses improve supply chain efficiency and customer engagement, including increased visibility into operations, facilities, inventory, and capacity. These characteristics fuelling the metaverse's application in supply chain management and logistics operations. The study further found that metaverse-related research has been extremely growing in the areas of healthcare, retail, and infrastructure, while there is still scope for study in the field of supply chain security and traceability. Finally, it is emphasized that metaverse-related research in logistics, supply chain operations, and agriculture supply chains has the potential to be explored.
The study we present aims to explore several factors pertaining to Consumer Acceptance of business technology as it related to Blockchain. Identifying and developing the relevant measures is of importance to business technology managers and software development managers today. We ask the important question of âwhat measures best represent the established constructs of the technology acceptance model?â In order to address this issue, it is important to identify the key measurements that help us to understand the proposed constructs as they relate to blockchain technology as well as confirm their validity in isolation and in combination with each other. In this study, the factors we explore are perceived reputation, risk, and usefulness and transaction intentions. A survey was used whereby the methodology adapted previous measurements from related works and new measurements pertaining to usefulness and risk were developed in order to adhere to blockchainâs consumer acceptance framework. 268 students completed the questionnaire and an exploratory factor analysis was used in order to analyze the constructs and their measurements. Through the results we were able to identify and validate the relevant measurements as well as the proposed constructs
As a highly disruptive digital technology, blockchain provides new solutions for reshaping corporate governance mechanisms and improving resource allocation. We empirically examine the relationship between blockchain and corporate investment inefficiency. We find that blockchain can help improve corporate investment efficiency, and this result is valid after a series of robustness tests. Blockchain can not only significantly restrain overinvestment but also alleviate underinvestment. Reducing financing costs and alleviating agency conflicts are the two channels through which blockchain is associated with corporate investment efficiency, and financial reporting quality is the condition on which the channels depend. When the CEO holds few shares or the trade credit environment in the region where the company is located is poor, the effect of blockchain is more prominent than it is otherwise. Investment efficiency cannot be improved by blockchain for companies providing blockchain products or services to customers, only for those promoting their own operations and management with blockchain. Ultimately, blockchain can enhance companiesâ value by alleviating inefficient investment. We reveal the role of blockchain in corporate investment efficiency, furnish microeconomic evidence for the integration of digital technology and the real economy and provide implications for China to promote digital technology to drive high-quality company development.
<strong>ABSTRACT: </strong>Cryptocurrency, an innovative asset class that is widely adopted by investors around the world. Indonesia is no exception to this, increasing the investor adoption up to 12 million investors in 2022. This number is very significant compared to Indonesia stock market investors that is only around 7 million investors. Various literatures have covered cryptocurrency in terms of pricing strategy and technicalities, so this paper extends the understanding of cryptocurrency dynamics from a behavioral finance perspective that is still less developed in Indonesia. This paper aims to explore the relationship between financial literacy, behavioral bias as well as its implication on the investment decision making process and investment performance from the perspective of investors based on Indonesiaâs cryptocurrency investors at online communities. This paper used Structural Equation Modeling (SEM) to predict the relation between variables. Our results show that financial literacy has an impact on each behavioral bias. While the behavioral biases that investigate in this study have different result in term of impact on decision-making process and the investment performance. Overconfidence, herding and anchoring are the biases that significantly influence invertorâs decision making in scope of cryptocurrency market in Indonesia. This study outcome may help investors understand and increase the awareness of investorâs investment behavior and decision-making process, and parallel to that the regulators and other stakeholders may use the insight to improve investorâs protection.
Aims: To determine the investment feasibility of evaluating cryptocurrency opportunities as an investment product under the possibility of crypto price valuation selection. The study analyzes three indicators: asset price returns in unrelated time, selection of cryptocurrency investment price weights, and crypto price forward contract opportunities on ARCH-GARCH probability forecasts in the selection of price valuations by individual cryptocurrency prices. Study Design: Quantitative research. Place and Duration of Study: The period from 10 September 2021 to 4 September 2022 using sample data downloaded from the Yahoo Finance website database with metric data retrieval bound in amount, data quantity, or distance relative to writing opportunities to examine the distribution of the amount of research data. Methodology: This study employed Bitcoin (BTC), Ethereum (ETH), and Tether (USDT) cryptocurrencies as the research objects with used panel and multiple regression analysis methodologies and using forecasting the appropriate ARCH and GARCH methods Results: The results show that the prediction of future crypto price selection in BTC and ETH tokens has a probability of 78.6% and 59.6%, respectively. The study highlights the prediction of future BTC and ETH price selection with 79.21% and 78.64% forecast results as found in the ARCH-GARCH(1, 0, 1) technique. Meanwhile, USDT token has no possibility to be forecasted in the future, leaving a 7.3% possibility of crypto price selection under probability by investors in the form of high (or different) price fluctuation inequalities. Conclusion: Conclusions could state that the partial (combined) selection of crypto coin price assessments and individual crypto assets can reduce the expected return from the selection of the asset price so that this form of investment in crypto assets can reduce the level of observation of return on wealth from crypto assets for investors especially in expecting the chance on that investment.
21st century is a digital world, where new and improved tech is introduced on a daily basis, in short, it is an ever evolving world, Cryptocurrency latest inclusion of this trend, which was launched in 2009. In this paper you read about the emergence of Cryptocurrency, how itâs created and some of the major cons of it. Cryptocurrencies usually run on private blockchains- which are digitally distributed decentralized ledger that exist across a network and in this blockchains, every transaction is recorded and it also controls and oversees the transactions and maintains an updated data of existing users and their Crypto related digital portfolios, when ever a new unit of Crypto is created, blockchains store their unique code to avoid duplicates. Many experts believe Cryptocurrency will be a flagship currency of the digital world and because it doesnât use any third parties in transaction its considered to be a game changer and if the predictions of Analyst do come true then many investors, brads, businesses, may also join the trend due to the growing popularity and benefits.
This research examines the intersection of disruptive technologies specifically blockchain, AI, and Big Data with corporate governance, synthesizing insights from a diverse range of scholarly works. This research employed a comprehensive literature review methodology. We sourced and analyzed scholarly articles and papers from prominent databases, focusing on key themes such as the impact of these technologies on corporate governance, potential benefits, and associated challenges. We investigate the implications of these technologies on corporate governance, scrutinizing potential benefits and associated challenges. Our findings reveal that blockchain, with its potential to enhance transparency and reduce information asymmetry, promises to transform accounting and auditing practices. Nevertheless, the successful integration of blockchain into mainstream financial systems necessitates addressing technical and regulatory challenges. AI's potential to augment decision-making capabilities offers opportunities for improved auditing efficiency, yet raises ethical concerns and implementation complexities. Lastly, Big Data presents opportunities for driving sustainable innovation and informed decision-making, while posing significant challenges concerning data privacy and security. This study's findings carry implications for practitioners, policy-makers, and academics alike, providing critical insights into the dynamic interplay between disruptive technologies and corporate governance. Future research may extend this work through empirical studies and comparative analyses across industries and regions.
Aim/Purpose: The study we present aims to explore several factors pertaining to Consumer Acceptance of business technology as it relates to cryptocurrencies. Identifying and developing the relevant measures is of importance to business technology managers and soft-ware development managers today. We ask the important question of âwhat measures best represent the established constructs of the technology acceptance model?â To address this issue, it is important to identify the key measurements that help us to under-stand the proposed constructs as they relate to cryptocurrencies as well as confirm their validity in isolation and in combination with each other. In this study, the factors we explore are perceived reputation, risk, and usefulness and transaction intentions. Methodology: A survey was used whereby the methodology adapted previous measurements from related works and new measurements pertaining to usefulness and risk were developed to adhere to cryptocurrencyâs consumer acceptance framework. 202 students completed the questionnaire, and an exploratory factor analysis was used to analyze the constructs and their measurements. Contribution: To address this issue, it is important to identify the key measurements that help us to under-stand the proposed constructs as they relate to cryptocurrencies as well as confirm their validity in isolation and in combination with each other. In this study, the factors we explore are perceived reputation, risk, and usefulness and transaction intentions. Findings: Through the results, we were able to identify and validate the relevant measurements as well as the proposed constructs.
Cryptocurrencies have emerged as a popular investment option in recent years. This paper aims to identify and analyse the factors that determine the pricing of cryptocurrencies. The existing problem is the lack of a comprehensive framework for understanding cryptocurrency pricing. The study is necessary to help investors make informed decisions about investing in cryptocurrencies. To examine determinants of cryptocurrency prices, the study used five cryptocurrencies and employs the GMM techniques. The study used multiple variables (coin prices; coins issued per day; difficulty and market capitalisation) to test how they can determine cryptocurrency prices. Findings showed that coins that uses higher hash rate, which has higher difficulty, higher market capitalisation and has lower number of coins that are mined on daily basis, is likely to have its pricing improved over short to medium terms. Overall, this research work provides valuable insights into the factors that determine the pricing of cryptocurrencies.
Mohammed Abdullah Alhumayzi, Luciano Batista, Vladlena Benson
Blockchain technology is a distributed digital ledger that boosts decentralised applications. This technology has many potential applications in the Higher Education Institutions (HEIs) industry. Yet, blockchain technology adoption is still low in HEIs. Within the adoption process, neglecting employeesâ acceptance of blockchain technology might cause a failure in adopting blockchain. To address the blockchain acceptance problem, this study aims to determine the factors that impact employeesâ acceptance of blockchain technology within HEIs. To accomplish this aim, this paper proposes a framework that extends the unified theory of acceptance and use of technology (UTAUT) with blockchain characteristics to determine the factors that affect blockchain acceptance among HEIsâ employees. Specifically, the proposed model includes UTAUT constructs: effort expectance, performed expectancy, social influence, facilitating conditions, behavioural intention and technology use, and blockchain characteristics, including security and trust. Also, this study investigates HEIs employeesâ awareness as a moderator of UTAUT factors. This paper contributes to academia as it proposes a new theoretical framework that contains factors that might facilitate or hinder the implementation of blockchain technology applications among employees. The present paper also contributes to practitioners in HEIs as it informs decision-makers about potential factors concerning employeesâ acceptance of the blockchain technology.