This paper uses data from January 2018 to early May 2024 as a sample to study the impact of macroeconomic factors on cryptocurrency returns. The empirical study finds that the price index of means of production significantly negatively impacts bitcoin returns. The US dollar exchange rate also significantly negatively impacts bitcoin returns, while Treasury yields have a positive effect.
Artificial intelligence (AI) and blockchain are two rapidly evolving technologies that have found applications across various domains as abundant data is available through the Internet of Things (IoT) technology. As a digital ledger technology, blockchain establishes a distributed platform for transparent and reliable transactions. On the other hand, AI automates and enhances decision making in business activities and personal contexts. While each technology excels in its own right, their integration mutually benefits and forms a powerful alliance that provides substantial value. This article presents a comprehensive survey of current research on the integration of AI and blockchain. Specifically, it explores how blockchain enhances AI functionality, how AI supports blockchain, the advantages derived from their convergence in securing and improving various domains, including IoT applications and beyond, as well as the challenges, opportunities, and future research directions in exploring their convergence.
Mohd Danish, Mohammad Amjad, Tanvir Ahmad, Ayodeji Olalekan Salau
Natural Language Processing (NLP) has greatly improved the ability to analyze and understand textual data, which is crucial for understanding user attitudes. Evaluating reviews from top bitcoin apps in India and Twitter data, this study applies advanced natural language processing techniques including BERT, RoBERTa, and the ChatGPT model to determine user sentiment. Using a diverse dataset consisting of 7,197 reviews, the author compared the models’ performance using metrics such as accuracy, precision, recall, and F1-score. According to the results, RoBERTa achieved the highest accurac y and F1 score (90%), followed by BERT (89.37% accuracy, 89% F1 score) and ChatGPT (90.00% accuracy, 88% F1 score). The performance metrics of conventional models, including Naive Bayes and Support Vector Machine (SVM), were poorer, showing that advanced natural language processing (NLP) models handled sentiment analysis better. Comparison bar charts and a confusio n matrix are two visualizations that help to further explain the findings. This research has real-world implications for understanding how people feel about bitcoin apps by revealing commonalities and missing features. To further enhance performance and accuracy, future research will optimize model parameters and explore sentiment analysis on a broader range of platforms.
With the advancement in technology and purchasing methods evolving, the e-commerce industry is experiencing rapid growth and development. E-commerce platforms empower businesses of all sizes to reach a broader audience by selling products and promoting their brands. However, traditional e-commerce faces challenges, including fraud, payment disputes, data security issues, and limited transparency, which, combined with unreliable product information, have weakened consumers’ confidence. This highlights the need for solutions that can enhance transactional transparency and build trust. Blockchain technology offers the feasibility to adapt e-commerce by increasing the security and efficiency of transactions. Through a decentralized network, blockchain allows users to securely store and share digital assets, enabling buyers to verify product details, such as origin and source, while reducing fraud risk. Although blockchain adoption in e-commerce is still emerging, it presents promising benefits. This paper explores the role of block-chain in ecommerce transactions and also the challenges within ecommerce transactions. The study also determines the various factors that affect the use of blockchain in e-commerce transactions. In order to achieve the research objectives, the data was collected using a structured questionnaire and was analyzed by using the statistical tool SPSS 20.0. The data was collected from 178 respondents. Factor Analysis was done using Principal Component Analysis and it was found that there were five factors: confidentiality of data, trust, transparency, willingness and privacy and intricacies which affects the blockchain technology on E commerce transactions for the consumers, with a total of 61.45% variation in the data set. The study shows that the determined factors affect the role of blockchain technology in e-commerce transactions for consumers.
As a research study, this work aims at analysing the potential of transformer networks in dealing with the interoperability issues that encompass connected autonomous vehicles multi-sector environments. In this context, by utilizing transformers to analyze sequential information and establish contextual dependency, the study’s objective is to improve the data integration process from multiple auditory and visual sensors and communication systems in CAVs. Utilizing datasets such as KITTI, Cityscapes, and ApolloScape, and implementing the model in PyTorch, the results demonstrated significant improvements: He continued: ‘Before the war, the defect rate in Soviet automobiles was around 95 percent. ’ From the results shown above it can be seen that DCS increased automation by 8% 444 Accuracy Robinson, Latency was also reduced to120ms while operational failures dropped to 2 5. These findings indicate that the use of transformer networks in the decision-making process of CAVs could significantly enhance their efficiency and reliability when it comes to autonomous driving avoiding possible risks that might occur.
Focusing on revolution of Supply Chain Finance (SCF) through the help of smart contracts and blockchain technology, this work aims to identify the potential of this field. Global supply chain finance management using smart contracts can help in improving efficiency, transparency and security of the key process, thus minimizing transaction time and cost. I choose both qualitative and quantitative data collection methods as a research approach to elicit information about the benefits and difficulties of blockchain implementation in SCF. The results also highlighted that considerable performances such as speed, cost, and accuracy of the transactions are enhanced when undertaken through smart contracts and the impact of applying smart contract in supply chain. The results have highlighted the need for additional research in terms of scalability and the regulation of polycentric platforms.
Due to the current day's financial landscape, which is data-driven and changing rapidly, the latest use of technology has become an order of the day to further increase efficiency in the decision-making process within accounting environments. This paper explores edge computing combined with artificial intelligence (AI) in redefining the financial decision-making process. On one side, edge computing is decentralized data processing much closer to its source; therefore, it reduces latency and increases efficiency. On the other side, artificial intelligence is an overarching term that refers to a collection of a number of different techniques that allow machines to imitate human cognitive functions. This coupled with AI presents vast opportunities for the revolution in accounting environments through real-time insights, accuracy, and efficient resource utilization. In this regard, it is thereby established how these two technologies complement one another in an attempt to make these capabilities strong relative to financial decisions in the different areas. Another benefit of the integration of edge computing with AI in the accounting environment is its ability to process huge loads of financial data with very little to zero latency. Edge computing reduces the latencies between the data generation, processing of the data, and decision-making process by moving the computation closer to where data is created, enabling almost real-time analysis and decision-making. This is complemented by AI algorithms that autonomously analyze patterns in the data, detect anomalies, and generate actionable insights toward empowering the professionals of finance to take informed decisions promptly.
Blockchain technology has rapidly emerged with a multitude of applications, among which smart contracts have garnered considerable attention. Smart contracts represent a promising solution for streamlining trade and business transactions between untrusted parties without intermediaries. These self-executing pieces of code automatically execute predefined actions when specific conditions are met. Despite the growing enthusiasm for blockchain and smart contracts, researchers believe this powerful combination has not yet reached its full potential. Hence, a systematic study is conducted to explore the various facets of blockchain-based smart contracts comprehensively. The research follows the PRISMA framework and employs two primary approaches: bibliometric analysis and systematic literature review. The process was initiated by formulating targeted search queries within the Scopus database, identifying a total of 1,949 publications spanning from January 2019 to August 2023. Subsequently, a bibliometric analysis was conducted on these publications using VOSviewer and Biblioshiny. Further, the full text of these publications was meticulously screened to isolate those with a significant focus on smart contracts. This led to the identification of 48 publications, each offering unique insights into various smart contract applications. Upon further examination, it was observed that the majority of these publications held rankings within the China Computer Federation, which refers to the qualitative research work in this domain. The study concludes with the current state of blockchain-based smart contracts, their platforms, applications, and challenges and reveals the substantial potential in handling tasks with predefined conditions and security requirements.
Digital certificate forgery is becoming increasingly common and impacting information security. This research develops a framework and system for verifying digital document signing certificates by applying blockchain technology and smart contracts. Smart contracts are created on the Ethereum network to define various conditions in developing information systems that support adding digital certificates to the blockchain, verifying digital certificates, and accessing digital certificates. The research tested the security of smart contracts using the Slither tool and analyzed the shortcomings of smart contract development using the Solhint tool. The research results indicate that smart contracts can function correctly without security risks and can be used to verify digital certificate forgery. Additionally, smart contracts can be utilized in developing information systems and further developed with other related research in the future.
Monitoring a company's efficiency is one of its primary responsibilities. There are many approaches in our contemporary society that either use IT or the conventional technique. Methods for measuring efficiency fall into three primary categories: parametric, nonparametric, and ratio indicators. We prioritize a firm's inputs and outputs when choosing metrics to measure efficiency. Establishing objectives and goals in entrepreneurship necessitates a thorough comprehension, appreciation, and knowledge of sustainability, and assessing the economic growth quality of a corporation is an essential task for theoretical and empirical sustainability assessment. When measuring the efficiency of entrepreneurship in terms of achieving desired values of macroeconomic indicators (e.g., sustainable economic growth objectives), data envelopment analysis (DEA), a widely used technique in efficiency analysis, has taken into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. The objective of this paper is to test the influence of FinTech/Blockchain adoption on corporate ESG and DEI performances using a novel DEA approach for sustainable development assessment. It highlights the significance of using a scalable technique for ESG efficiency study and gives scholars a more thorough viewpoint on the subject. In a collection of 50 enterprises, a DEA model was utilized for the analysis. For sustainable performance assessment using the proposed DEA technique, we defined as inputs six financial metrics, and as outputs 11 ESG/Blockchain adoption, and four DEI quality metrics to measure the firm’s efficiency. The annual business data was gathered between 2017 and 2023. In all country situations we discovered that, when DEI initiatives mediate, there is a strong correlation between ESG corporate performance and the quality of economic growth (particularly in the innovation and integrity blockchain adoption performance success metrics). Our study provides additional in-depth details on the FinTech/blockchain adoption environment in comparison to the findings of previous researchers. The sustainable entrepreneurship performance (a latent variable regarded as a dependent target factor) is calculated using eight (8) factors as observed variables, which is the first to consider the dynamics of ESG/BCA and DEI quality metrics as DEA outputs. The study also examines the mediating role of DEI corporate initiatives. By conducting an empirical investigation, the suggested scalable framework makes it evident which company is more efficient in moving toward sustainability, assisting corporate management in increasing the effectiveness of economic growth.
Arvind Nain, Preeti Tyagi, M. C. Pant, Devesh Chand · 6 authors
Study examines positions assumed by Artificial Intelligence, Blockchain, and Green Finance to see how each separately and collectively might play a role in the inventory management systems to contribute to sustainability and financial efficiency. AI, in its data-driven predictive power, optimizes the processes of inventory through improved demand forecasting, reduced waste, and resource usage. Blockchain ensures much-needed transparency, traceability, and accountability throughout value chains, enabling the verifiability of more precise sustainability metrics via smart contracts, which can automate Green Finance agreements. Integration of these technologies serves to align inventory management toward sustainability goals of reduced carbon footprint and energy efficiency. The paper reviews the literature, examines key models and frameworks, and discusses the potentials of AI and Blockchain to influence sustainable practices and financial outcomes in inventory management. Future research opportunities are outlined to address current gaps and enhance the adoption in real-world applications of the subject technologies.
Bitcoin is one of the many advanced monetary standards used overall for electronic trades and money-related targets. Bitcoin has piqued the interest of both financial backers and scientists ever since Nakamoto first proposed it in 2008. Bitcoin is a decentralized mechanized cash that utilizes encryption techniques, decentralized arrangements, and various cycles to approve trades and guarantee security. Bitcoin can function as a digital asset and payment system, serving as a form of virtual currency. The recent surge in Bitcoin's prices has garnered significant attention from both the media and the general public. Because of its standing and eccentricity in cost changes, Bitcoin has received a lot of attention from monetary patrons, markets, examiners, and the media. The primary goal of our article is to dissect the typical fluctuations in bitcoin prices. We hypothesize that artificial intelligence strategies will aid in comprehending the excessively complex components of bitcoin. The goal of our paper is to develop an artificial intelligence model that can identify examples from verifiable data and make calculations to predict Bitcoin's price.
Rahul Diliprao Tamhane, Aman Grewal, Ishan Sandhu, Prof. Vivek Rastogi · 6 authors
The integration of Artificial Intelligence (AI) and blockchain technologies into Customer Relationship Management (CRM) systems has the potential to revolutionize how organizations engage with their customers, streamline business processes, and ensure data integrity. This review synthesizes recent literature and market reports to highlight the emerging trends, benefits, and challenges of using AI and blockchain in CRM. We explore the capabilities of AI-driven data analytics, predictive modeling, and personalized customer engagement features, as well as the trust and transparency offered by distributed ledger technology. Furthermore, we identify technical, regulatory, and organizational hurdles that must be overcome for successful adoption. The review concludes by suggesting avenues for future research, including the development of standardized protocols, improved interoperability, and ethical frameworks for responsible AI and blockchain use in CRM ecosystems.
Muhammed Zakir Hossain, Fatema Tuj Johora, Mamunur R. Raja, Latul Hasan
This research paper uses qualitative analysis to examine the profound influence of artificial intelligence (AI) and blockchain technologies on accounting practices. The study utilizes case studies and semi-structured interviews with industry experts to identify central themes, including efficiency and automation, accuracy and data integrity, fraud detection and security, professional roles and skills, and ethical and regulatory considerations. The results demonstrate that AI increases efficiency by automating repetitive tasks and enhancing fraud detection, while blockchain guarantees the precision and reliability of financial records. Nevertheless, incorporating these technologies into existing systems poses difficulties, including technical obstacles, adherence to regulatory requirements, and ethical considerations such as safeguarding data privacy and addressing algorithmic bias. Due to these findings, accounting professionals must acquire new skills in data analytics and technology management. It is recommended that educators integrate artificial intelligence (AI) and blockchain into accounting curricula. At the same time, policymakers are advised to establish well-defined regulatory frameworks to facilitate the adoption of these technologies. The study also identifies areas for future investigation, such as the enduring effects of AI and blockchain on accounting methods, the factors that influence user adoption, and the creation of efficient regulatory structures. The research thoroughly analyzes how AI and blockchain are transforming the accounting profession, providing insights into the opportunities and challenges they bring.
This study aims to investigate the impact of the digital economy on consumer preferences in the Metaverse era, focusing on the role of Non-Fungible Tokens (NFTs) and tokenization in changing purchase intentions. Using a mixed-methods approach, this study combines quantitative and qualitative analysis to gain a comprehensive understanding of the key determinants of consumer purchase intentions in a rapidly evolving digital context. The results of the quantitative analysis show that perceived value, trust in blockchain technology, and user experience significantly influence consumer purchase intentions towards NFTs. Qualitative analysis through in-depth interviews reveals that scarcity, digital ownership, and community involvement are the main factors driving NFT adoption, while lack of technological understanding and regulatory uncertainty are the main barriers. This study also introduces novelty through the use of machine learning-based sentiment analysis and social network analysis to explore the role of social interactions in the formation of purchase intentions. These findings make important contributions to the literature on the digital economy by offering new insights into consumer dynamics in the Metaverse and highlighting the need for marketing strategies that focus on creating community value and immersive user experiences. Practical implications of this study include the need for consumer education and clear regulations to increase NFT adoption, as well as marketing strategies that leverage the emotional value and scarcity of digital assets. This research contributes to a better understanding of consumer behavior in the digital age and offers recommendations for further research in this area.
Abstract Background/Objectives Blockchain technology is revolutionizing various industries by enhancing security, transparency, and efficiency. In healthcare, its small-scale application demonstrates the potential to transform healthcare. This study explores how cryptocurrency and blockchain technology enhance healthcare financial stability, secure medical information exchange, increase payment recovery and interoperability. Methods Guided by the Diffusion of Innovations (DOI) Theory, this study reviews 34 articles on blockchain and cryptocurrency adoption in healthcare. We performed a thematic analysis focusing on empirical data, theoretical analyses, and existing implementations. Data were categorized by DOI elements: relative advantage, compatibility, complexity, trialability, observability, and social system. The findings were synthesized into a detailed framework for adopting these technologies in healthcare. Results Our analysis shows that cryptocurrency offers a secure, decentralized payment platform, eliminating the need for third-party intermediaries. Blockchain adoption enhances payment and patient record protection. Cryptographic methods ensure data integrity, transparency, and security, preventing modifications once recorded. Altering data requires consensus from the network majority, protecting healthcare providers from ransomware attacks. Conclusions Evidence suggests that cryptocurrency and blockchain will disrupt healthcare payments, data management, and accommodate interoperability within the next decade. These technologies promise improved security, improved public health research, and increased trust in the healthcare system. Key messages • Our research will be assessing the challenges of integrating digital coins and blockchain technology into the healthcare system. • Examine the potential benefits and risks of implementing blockchain technology in healthcare settings.
The cryptocurrency market, known for its volatility and rapid growth, is influenced by various actors, including investors, speculators, and volunteers. Investors and speculators often seek short-term profits, sometimes disregarding the long-term fundamentals of projects, leading to significant market instability and reputational damage. Conversely, volunteers contribute consistently to the development, governance, and sustainability of crypto projects, focusing on long-term value creation. This paper examines the contrasting roles of these groups and provides real-world examples where speculators and investors have caused harm to the market, while volunteers have played a vital role in building and preserving value.
Current autonomous building research primarily focuses on energy efficiency and automation. While traditional artificial intelligence has advanced autonomous building research, it often relies on predefined rules and struggles to adapt to complex, evolving building operations. Moreover, the centralized organizational structures of facilities management hinder transparency in decision-making, limiting true building autonomy. Research on decentralized governance and adaptive building infrastructure, which could overcome these challenges, remains relatively unexplored. This paper addresses these limitations by introducing a novel Decentralized Autonomous Building Cyber-Physical System framework that integrates Decentralized Autonomous Organizations, Large Language Models, and digital twins to create a smart, self-managed, operational, and financially autonomous building infrastructure. This study develops a full-stack decentralized application to facilitate decentralized governance of building infrastructure. An LLM-based artificial intelligence assistant is developed to provide intuitive human-building interaction for blockchain and building operation management-related tasks and enable autonomous building operation. Six real-world scenarios were tested to evaluate the autonomous building system's workability, including building revenue and expense management, AI-assisted facility control, and autonomous adjustment of building systems. Results indicate that the prototype successfully executes these operations, confirming the framework's suitability for developing building infrastructure with decentralized governance and autonomous operation.