Blockchain Papers

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821 papersLast indexed Aug 31, 2026
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Jan 1, 2022ยทKurdish Studies
2 cites
The Future of Payments: A Comprehensive Review of AI, ML, and Cloud Technologies in Finance

Jai Kiran Reddy Burugulla, Ramesh Inala

The financial industry continues to evolve, specifically in payment processing. Payment processing is at the forefront of technological advancements, significant growth, and constant change. Companies desiring to grow their consumer base must remain current with trends and developments in payment processing. Payment processing has entered a new era of technology advancements inspired by AI, ML, and cloud computing, impacting operations and transforming businesses in todayโ€™s marketplace. The banking industry faces fierce competition from agile Fintech players that leverage technology to deliver services and new offerings faster and cheaper. Significant public sector funding catalyzed the growth of open and responsive payments ecosystems. Innovative combination models like Buy now, pay later (BNPL) and crypto-currency are springing forth, shifting risks from the lenders as well as intermediaries to the consumers, end-users, and providers. In blue-ocean areas such as e-Commerce, instant, cross-border payments, and digital assets, competition is not only intense, but the playing field is constantly growing and redefining itself. Vendors in on-and-off line electronic payments across different ecosystem parametersโ€”service provider, regulation, traffic, payment formatโ€”have the latitude to partner or compete with each other, creating a complex environment defined by misaligned incentives on legacy systems, incomplete data, and bureaucratic inertia. On the other hand, irrespective of the payment type, frauds are nearing pre-global-financial-crisis levels, and direct losses are growing exponentially. Payment vulnerabilities translating into cyber risks and data breaches loom large, and hacking the supply chain has become a top concern for enterprises. Federated Financial Institutions, Private Sector Players, Financial Data Exchanges, and RegTech will need to collaborate and invest in differentiated technology capabilities to secure their pieces of a slim pie. It would require immediate injections of cash upfront, time To Income (TTI) on legacy IT assets, acquisitions of technology providers, setting up scalable and proactive test environments, and a radical shift in the approach to assessing partners and vendors. Growing customer expectations for payments to flow instantly are forcing banks to intensify their innovation programs and invest in real-time payment systems. There are dedicated task forces at supervisors and regulators worldwide Engineering Distributed-control and Self-governed Payment Systems; Global Consensus Standardization of Payment Internet Protocols; and morphing payment systems into programmable platforms. Banks are even incentivized to capture new geographies and market segments by embracing Public Open Payment Protocols, Distributed-ledger Technology, and Edge-based Devices for Processing Payment Signals with control residing at the edge.

Impact of AI and Big Data on Business and Society
FinTech, Crowdfunding, Digital Finance
Insurance and Financial Risk Management
Original source
Jan 1, 2022ยทSSRN Electronic Journal
6 cites
The Information Content of Blockchain Fees

Agostino Capponi, Ruizhe Jia, Shihao Yu

Decentralized exchanges DEXs allow traders to express their willingness to pay for quick execution through a public priority fee bidding mechanism. We provide empirical evidence that high-fee DEX trades are more informative and contribute more to price discovery. Using address-level blockchain transaction data, we show that informed traders persistently bid higher fees to secure early execution, revealing a strong willingness to pay for execution priority. Further, analysis of Ethereum mempool data demonstrates that informed traders employ a "jump bidding" strategy, placing high initial bids to deter potential competitors.

Open access
2 source records
Blockchain Technology Applications and Security
Impact of AI and Big Data on Business and Society
Original source
Jan 1, 2022ยทIBEROAMERICA
1 cites
Factors associated with investing in cryptocurrencies in millennials

Marรญa Camila Bermeo-Giraldo, Alejandro Valencia-Arias, Orfa Nidia Patiรฑo-Toro

Resumen.Este estudio tiene como objetivo identificar los factores asociados a la inversin en criptomonedas en Millennials aplicando 136 encuestas llevando a cabo bajo un anlisis factorial exploratorio, con un enfoque cuantitativo y alcance exploratorio-descriptivo.El anlisis de los datos recolectados se realiz midiendo el grado de asociacin entre los constructos del modelo conceptual propuesto y mediante el coeficiente V de Cramer para el contraste de hiptesis.Los resultados validaron el modelo propuesto para explicar la intencin de invertir en criptomonedas por parte de los Millennials.Se evidencia que hay una fuerte relacin entre los factores facilidad percibida de uso y confianza percibida; utilidad percibida con facilidad de uso percibida y facilidad de uso percibida con la actitud de uso de los Millennials frente a las criptomonedas.De igual manera, se observ Factores asociados a la inversin en criptomonedas en Millennials Iberoamrica, 2022, nm. 1, pp. 38-61 39 una asociacin intermedia entre los factores actitud de uso, confianza y seguridad percibida y el factor intencin de uso.

Open access
Blockchain Technology Applications and Security
FinTech, Crowdfunding, Digital Finance
Impact of AI and Big Data on Business and Society
Original source
Jan 1, 2022ยทInternational Journal of Multidisciplinary Research and Growth Evaluation
6 cites
Optimizing Smart Contract Development: A Practical Model for Gasless Transactions via Facial Recognition in Blockchain

Bright Chibunna Ubamadu, Damodar Bihani, Andrew Ifesinachi Daraojimba, Grace Omotunde Osho ยท 6 authors

The advent of blockchain technology has revolutionized the way decentralized applications (dApps) and smart contracts are developed and deployed. However, the barrier of gas fees continues to hinder mass adoption, especially in resource-constrained environments. This paper proposes a novel, practical model for gasless smart contract transactions by integrating facial recognition technology within blockchain ecosystems. Our approach leverages zero-knowledge proofs and meta-transaction protocols to enable trustless authentication and transaction signing through biometric facial data, thereby eliminating the need for users to maintain a cryptocurrency balance for transaction execution. The proposed model is built on a multi-layered architecture that incorporates a decentralized identity (DID) framework, a biometric verification engine, and a relayer network that pays the gas on behalf of the user. Using facial recognition as a biometric key, users can trigger and authorize smart contract functions without direct wallet interaction or private key exposure. The system enhances security by utilizing advanced liveness detection and encrypted facial signature hashing, preventing spoofing and ensuring that only legitimate users gain access to the network. Furthermore, it supports user onboarding via identity verification processes that comply with global KYC (Know Your Customer) standards, thus bridging the gap between user accessibility and regulatory requirements. A simulation environment was developed using Solidity, OpenZeppelin libraries, AWS Rekognition for facial analysis, and the Biconomy SDK for meta-transactions. Performance metrics indicate significant improvements in user onboarding time, cost-efficiency, and fraud prevention compared to traditional models. The model also reduces environmental impact by lowering the computational overhead associated with repeated gas-based authentication. This paper provides a blueprint for developers, policymakers, and fintech stakeholders to adopt gasless blockchain frameworks supported by biometric security. It presents a scalable and user-friendly solution that could unlock broader blockchain adoption in finance, healthcare, and identity management sectors. The fusion of facial recognition with smart contract automation signifies a leap towards a more inclusive, secure, and cost-efficient decentralized future.

Open access
Blockchain Technology Applications and Security
Impact of AI and Big Data on Business and Society
FinTech, Crowdfunding, Digital Finance
Original source
Jan 1, 2022ยทSSRN Electronic Journal
5 cites
Role of Blockchain Smart Contract in Insurance Industry

Vaishali Kalsgonda, Raja Kulkarni

Blockchain smart contracts are emerging research area among Industrial communities and academics. Blockchain enabled Smart contracts provide automatic processing, security in decentralized environment and removes the barrier of trusted third party. Insurance industry is one of the targeted areas for hackers, and takes more time for processing. The Insurance industry will change dramatically when integrating with Blockchain technology, with high degree of security, real time working and minimum processing cost. Writing smart contracts are very challenging task as Blockchain is secure itself, but sometimes blockchain enabled smart contracts leads to vulnerabilities, have to face scalability & privacy issues also. Authors gives overview of Hyperledger Fabric as it is standard platforms for implementing smart contracts for permissioned blockchain, and proposed a research framework for smart contracts use cases in insurance sector. Second, the technical and legal challenges, as well as the current research are discussed. This paper is aimed to provide guidance for future research in Blockchain smart contracts in insurance industry.

Open access
2 source records
FinTech, Crowdfunding, Digital Finance
Impact of AI and Big Data on Business and Society
Digital Transformation in Law
Original source
Jan 1, 2022ยทFrontiers in Blockchain
85 cites
Block chain technology for digital financial inclusion in the industry 4.0, towards sustainable development?

David Mhlanga

There is a lot of hope that blockchain technology may be used to standardize money transactions and increase access to banking. It is believed that regulators and industry professionals have looked into the possibility of using blockchain technology to modernize and even replace the infrastructure that currently supports international payments and remittances, such as correspondent banking, in order to ensure that transactions can be verified and recorded using blockchain technology in a distributed ledger. The purpose of this study was to analyze how blockchain technology has helped to include previously underserved populations in the mainstream financial system, and to remark on the best practices and lessons learned from sustainable development. Using a systematic literature review, the study discovered the many ways in which blockchain technology can facilitate digital financial inclusion, including its application in financial transactions, its utility as a tool for increasing financial savings, its use in the provision of credit, and its application in the provision of insurance. According to the findings, even though the global goals do not specifically target financial inclusion, providing access to financial services for the majority of the population is a critical enabler for several of the global goals. Therefore, the study concluded that sustainable development can be ensured on many fronts if the technology behind blockchains can be successfully used to improve financial inclusion. If governments, especially in developing countries, are serious about increasing citizensโ€™ access to financial services, they must prioritize blockchain investment.

Open access
2 source records
Blockchain Technology Applications and Security
FinTech, Crowdfunding, Digital Finance
COVID-19 Pandemic Impacts
Original source
Jan 1, 2022ยทSSRN Electronic Journal
12 cites
Role of Smart Contract Technology Blockchain Services in Finance and Banking Systems: Concept and Core Values

Ahmed Muayad Younus, Mohanad Abumandil**

Abstract:\n\n \n\nSo far, blockchain has been well acknowledged for its potential uses in the financial and banking industries. As a decentralized and distributed technology, blockchain, on the other hand, may be used as a powerful tool for a wide range of everyday applications. Among the many applications sectors where blockchain is expected to have a significant influence, finance and banking is one of the most important. In the contemporary financial and banking systems, it produces a broad variety of options and possibilities. As a result, the purpose of this paper is to investigate the possible uses of blockchain technology in present financial and banking systems, as well as to emphasize the most critical needs for such systems, such as trust less and transparent financial and banking systems. In addition, this article outlines the hurdles and roadblocks that must be overcome before blockchain technology can be successfully used in financial and banking institutions. In addition, we present the smart contract for blockchain-based financial and banking systems, which is critical for setting pre-defined agreements among multiple customers.

Open access
2 source records
Digital Transformation in Law
FinTech, Crowdfunding, Digital Finance
Impact of AI and Big Data on Business and Society
Original source
Jan 1, 2022ยทUniversal Journal of Accounting and Finance
42 cites
Determinants of Investment Decision in Cryptocurrency: Evidence from Indonesian Investors

Bella Siti Nurbarani, Gatot Soepriyanto

This study aimed to determine the effect of behavior factors and social demography on the investment decision in cryptocurrency in the Greater Jakarta area. The method used in this study is partial least square (PLS) using the SmartPLS software application. The behavior factor variables used in this study are overconfidence, herd behavior, subjective norm, and awareness variables. This study also used social demography moderating variables in age, gender, occupation, education, and investment experience on 400 respondents in the Greater Jakarta area. The test results show that only overconfidence and awareness variables have a significant positive effect on decisions to invest in cryptocurrency and subjective norms variables that have no significant positive effect but can be moderated by social demographic factors such as age and investment experience. In addition, other variables have no significant positive effect. They cannot be moderated by social demographic factors such as age, gender, occupation, and investment experience on the decisions of cryptocurrency investors in Greater Jakarta area. Our study contributes to developing knowledge, insight, skills and analyzing researchers, especially regarding the influence of behavioral factors and social demography on investment decisions in cryptocurrency.

Open access
2 source records
FinTech, Crowdfunding, Digital Finance
Impact of AI and Big Data on Business and Society
Digital Marketing and Social Media
Original source
Jan 1, 2022ยทIEEE Access
27 cites
Proof of Delivery Smart Contract for Performance Measurements

Yash Madhwal, Yari Borbon-Galvez, Niloofar Etemadi, Yury Yanovich ยท 5 authors

The growth of the enterprise blockchain research supporting supply chain management calls for investigations of their impact and mindfulness of their design, use cases, and pilots. With a blockchain design for the Proof of Delivery (PoD) process management, this paper contributes to learning about performance measurement and the transaction costs implications during the development and application of smart contracts. An experimental design science approach is applied to develop an open-source blockchain to explore ways to make the delivery processes more efficient, the proof of delivery more reliable, and the performance measurements more accurate. The theory of Transaction Costs is applied to evaluate the cost implications of the adoption of smart contracts in the management of the PoD. The findings show that smart contracts make the delivery processes more efficient and proof of delivery more reliable. Yet, the methods and metrics are too complex and qualitative, limiting the smart contract’s capability to measure performance. Our findings indicate potential transaction costs reduction by implementing a blockchain-based performance measurement. The complexities of the delivery process and proof of delivery call for pre-contractual steps to identify the processes and performance metrics to design blockchains. Smart contracts need further development and digital aids to handle qualitative inspections and proof of delivery generation during the delivery process. The blockchain requires the system’s capacity to record off-chain transactions, such as in case of disputes resolutions. The authors extended blockchain research beyond the theoretical level, designing an open-source blockchain for supply chain management within the use case, pilot design, and case study.

Open access
Blockchain Technology Applications and Security
Supply Chain and Inventory Management
Impact of AI and Big Data on Business and Society
Original source
Jan 1, 2022ยทInternational Review of Financial Analysis
133 cites
The illusion of the metaverse and meta-economy

David Vidal-Tomรกs

No abstract is available for this record.

Open access
3 source records
Blockchain Technology Applications and Security
Virtual Reality Applications and Impacts
Impact of AI and Big Data on Business and Society
Original source
Dec 31, 2021ยทThe Korean Data Analysis Society
0 cites
Is Cryptocurrency Market, an Efficient Market?

Daehyoung Cho

์ตœ๊ทผ ๊ฐ€์ƒํ™”ํ ๊ฑฐ๋ž˜๊ฐ€ ํ™œ๋ฐœํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๊ณ  ๊ฒฐ์ œ ์ˆ˜๋‹จ์œผ๋กœ ์ด์šฉ์ด ํ™•๋Œ€๋˜๋ฉด์„œ ๋””์ง€ํ„ธ ํ†ตํ™”์— ๋Œ€ํ•œ ์ •๋ถ€์™€ ํˆฌ์ž์ž์˜ ๊ด€์‹ฌ์ด ํ™•๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ˜„์žฌ ๊ตญ๋‚ด์™ธ ๋งŽ์€ ๋ฌธํ—Œ๋“ค์ด ๋น„ํŠธ์ฝ”์ธ์˜ ๋ฒ•์ , ์ œ๋„์ ์ธ ์ธก๋ฉด๊ณผ ๋ธ”๋ก์ฒด์ธ ๊ธฐ์ˆ  ๋“ฑ ์ด์šฉ์˜ ์ธก๋ฉด์—์„œ ์ดˆ์ ์„ ๋งž์ถ”๊ณ  ์žˆ๋‹ค. ๋ฐ˜๋ฉด ๊ธˆ์œต์‹œ์žฅ์˜ ๊ด€์ ์—์„œ ๊ฐ€์ƒํ™”ํ ์‹œ์žฅ์˜ ํšจ์œจ์„ฑ์„ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋งค์šฐ ๋ถ€์กฑํ•œ ์ƒํ™ฉ์ด๋‹ค. ์ด์— ์ฐฉ์•ˆํ•˜์—ฌ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฐ€์ƒํ™”ํ ๊ฐ€๊ฒฉ์˜ ์‹œ๊ณ„์—ด์ ์ธ ํŠน์„ฑ์„ ์ž˜ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด ์žฅ๊ธฐ๊ธฐ์–ต๊ณผ ์‹œ์žฅํšจ์œจ์„ฑ์„ ๋ถ„์„ํ•˜๊ณ  ์žˆ๋‹ค. ํ˜„์žฌ ๊ฐ€์žฅ ๋„๋ฆฌ ์•Œ๋ ค์ง„ ๊ฐ€์ƒํ™”ํ ์ค‘์˜ ํ•˜๋‚˜์ธ ๋น„ํŠธ์ฝ”์ธ, ์ด๋”๋ฆฌ์›€, ์นด๋ฅด๋‹ค๋…ธ, ํ…Œ๋”, ๋„์ง€์ฝ”์ธ ๋“ฑ 5๊ฐœ ๊ฐ€์ƒํ™”ํ๋ฅผ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. Variance Ratio, Conventional R/S, Modified R/S, GPH ๊ฒ€์ • ๋“ฑ์„ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ, ๋น„ํŠธ์ฝ”์ธ, ์ด๋”๋ฆฌ์›€์€ ์‹œ์žฅ์˜ ํšจ์œจ์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ์ฆ๊ฑฐ๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ์ง€๋งŒ ์นด๋ฅด๋‹ค๋…ธ, ํ…Œ๋”, ๋„์ง€์ฝ”์ธ์€ ์‹œ์žฅ์˜ ๋น„ํšจ์œจ์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ๊ฒฐ๊ณผ๊ฐ€ ์ผ๋ถ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•˜์ง€๋งŒ, ๋ถ„์„ ๊ธฐ๊ฐ„์„ ์ฝ”๋กœ๋‚˜19 ํŒฌ๋ฐ๋ฏน ์ดํ›„๋กœ ํ•œ์ •ํ•˜๋ฉด ์นด๋ฅด๋‹ค๋…ธ, ํ…Œ๋”, ๋„์ง€์ฝ”์ธ์˜ ๊ฒฝ์šฐ์—๋„ ๋ชจ๋‘ ํšจ์œจ์ ์ธ ์‹œ์žฅ์œผ๋กœ ๋ณผ ์ˆ˜ ์žˆ๋Š” ์ฆ๊ฑฐ๋“ค์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ํ˜„์žฌ ์นด๋ฅด๋‹ค๋…ธ, ํ…Œ๋”, ๋„์ง€์ฝ”์ธ์˜ ๊ฒฝ์šฐ์—๋„ ์ ์ฐจ ํšจ์œจ์ ์ธ ์‹œ์žฅ์œผ๋กœ ๋ณ€ํ™”ํ•˜๋Š” ๊ณผ์ •์— ์žˆ๋‹ค๋Š” ์ ์„ ์‹œ์‚ฌํ•œ๋‹ค.

Impact of AI and Big Data on Business and Society
Cultural and Historical Studies
Innovation in Digital Healthcare Systems
Original source
Dec 31, 2021ยทKorean Accounting Journal
4 cites
imitations of Current Cryptocurrency Accounting Methods and Suggested Improvements

Kyoung-Won Kim, Suโ€Min Lee, Seo-Yeong Kim, Dawoon Jung ยท 5 authors

๋ณธ ์—ฐ๊ตฌ๋Š” ํ˜„ํ–‰ ์•”ํ˜ธํ™”ํ ํšŒ๊ณ„์ฒ˜๋ฆฌ์˜ ๋ฌธ์ œ์ ์„ ๊ตญ๋‚ด์™ธ ๊ธฐ์—…๋“ค์˜ ์‚ฌ๋ก€๋กœ ํŒŒ์•…ํ•˜๋Š” ์‚ฌ๋ก€์—ฐ๊ตฌ์ด๋‹ค. ์ตœ๊ทผ ์•”ํ˜ธํ™”ํ์— ๋Œ€ํ•œ ๊ธฐ์—…๋“ค์˜ ๊ด€์‹ฌ์ด ๋Š˜๊ณ  ์žˆ์œผ๋‚˜, ์•”ํ˜ธํ™”ํ์˜ ์‹ค์งˆ์„ ์ ์ ˆํžˆ ๋ฐ˜์˜ํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์ค€์„œ์˜ ์ œ์ • ๋ฐ ๊ฐœ์ •์€ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š๊ณ  ์žˆ๋‹ค. IFRS ํ•ด์„์œ„์›ํšŒ๋Š” ์•”ํ˜ธํ™”ํ๋ฅผ ์žฌ๊ณ ์ž์‚ฐ ํ˜น์€ ๋ฌดํ˜•์ž์‚ฐ์œผ๋กœ ๋ถ„๋ฅ˜ํ•˜๊ณ  ๊ธฐ์กด์˜ ๊ธฐ์ค€์„œ์— ๋”ฐ๋ผ ํšŒ๊ณ„์ฒ˜๋ฆฌ ํ•˜๋„๋ก ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ํ•ด์„์€ ๊ธฐ์กด ๊ธฐ์—…๋“ค์ด ๊ฒฝ์˜์ง„์˜ ํŒ๋‹จ์— ๋”ฐ๋ผ ๊ฐœ๋ฐœํ•ด ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋˜ ํšŒ๊ณ„์ฒ˜๋ฆฌ์™€๋Š” ์ƒ์ดํ•˜๊ณ , ๊ฑฐ๋ž˜์˜ ์‹ค์งˆ์„ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•œ๋‹ค. ์„ ํ–‰์—ฐ๊ตฌ์— ๋”ฐ๋ฅด๋ฉด ์•”ํ˜ธํ™”ํ๋Š” ๊ทธ ์‹ค์งˆ์— ์žˆ์–ด์„œ ํ†ต์ƒ์ ์ธ ํŒ๋งค๋ชฉ์ ์œผ๋กœ ๋ณด์œ ํ•  ๊ฒฝ์šฐ ์žฌ๊ณ ์ž์‚ฐ, ๊ทธ ์ค‘์—์„œ๋„ ํŠนํžˆ ์ผ๋ฐ˜์ƒํ’ˆ๊ณผ ์œ ์‚ฌํ•˜๋‹ค. ๋ฐ˜๋ฉด ํˆฌ์ž๋ชฉ์ ์œผ๋กœ ๋ณด์œ ํ•  ๊ฒฝ์šฐ ํŒŒ์ƒ์ƒํ’ˆ์˜ ๊ธฐ์ดˆ๊ฐ€ ๋˜๋Š” ์ผ๋ฐ˜์ƒํ’ˆ์ด๋‚˜ ๊ธˆ์œต์ž์‚ฐ ์ค‘ ๋‹น๊ธฐ์†์ต-๊ณต์ •๊ฐ€์น˜์ธก์ •(FVTPL) ๊ธˆ์œต์ž์‚ฐ๊ณผ ์œ ์‚ฌํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์‚ฌ๋ก€์—ฐ๊ตฌ๋Š” ์‹ค์ œ ๊ธฐ์—…๋“ค์˜ ๋ถ„์„์„ ํ†ตํ•ด ํ˜„ํ–‰ ์•”ํ˜ธํ™”ํ ํšŒ๊ณ„์ฒ˜๋ฆฌ ์ ์šฉ ์‹œ ๋ฐœ์ƒ ๊ฐ€๋Šฅํ•œ ํ•œ๊ณ„ ๋ฐ ๋ฌธ์ œ์ ๋“ค์„ ํŒŒ์•…ํ•œ๋‹ค. ์‚ฌ๋ก€๋ถ„์„ ๋Œ€์ƒ๊ธฐ์—…์€ ๋ฏธ๊ตญ์˜ ๋งˆ์ดํฌ๋กœ์ŠคํŠธ๋ž˜ํ‹ฐ์ง€, SPDR ๊ธˆ ์‹ ํƒ, ๋ฒˆ์ง€, ๊ทธ๋ฆฌ๊ณ  ํ•œ๊ตญ์˜ ํ•œ๋น›์†Œํ”„ํŠธ์™€ ๋‘๋‚˜๋ฌด์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‚ฌ์—…๋ชฉ์ ๊ณผ ํˆฌ์ž๋ชฉ์ ์— ๋”ฐ๋ฅธ ์•”ํ˜ธํ™”ํ ํšŒ๊ณ„์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•ด โ€˜ํˆฌ์ž์ž๋ณธ์ž์‚ฐโ€™์˜ ๊ฐœ๋…์„ ์ œ์•ˆํ•˜๊ณ , ๋ฌดํ˜•์ž์‚ฐ ๊ธฐ์ค€์„œ ๊ฐœ์ • ์—ญ์‹œ ์ œ์•ˆํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์œ„ ์—ฐ๊ตฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์•”ํ˜ธํ™”ํ ๋ณด์œ ๊ธฐ์—… ๊ฐ์‚ฌ ์‹œ ํ˜„์žฌ ๊ณ ๋ คํ•ด์•ผ ํ•  ์‚ฌํ•ญ๋“ค์„ ์ œ์‹œํ•œ๋‹ค.

Impact of AI and Big Data on Business and Society
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