Measurement Method and Application of a Deep Learning Digital Economy Scale Based on a Big Data Cloud Platform

In recent years, with the acceleration of the process of economic globalization and the deepening of my country's financial liberalization, the scale of international short-term capital flows has been extremely rapid. This article mainly studies the deep learning digital economy scale measurement method and its application based on the big data cloud platform. This article uses the indirect method to estimate the stock of renminbi circulating abroad. The results show that the application of big data cloud platforms can increase the development share of digital media and digital transactions in the digital economy, and optimize the structure of China's digital economy.

UPI Challenges and Direction in Fund Management with Special Reference Banking Sector

After demonetization, there was a massive requirement for currency notes, but the government was unable to provide the required quantity of currency notes, and also Indian government wanted to promote cashless transactions. UPI is built over Immediate Payment Service (IMPS) for transferring funds using Virtual Payment Address (a unique ID provided by the bank). Unified Payments Interface is a payment system launched by (NPCI), which is National Payments Corporation of India, and is regulated by the (RBI) Reserve Bank of India, which provides the facility of instant fund transfer between two bank accounts online through payment apps. Digital transactions by UPI have been made very easy. The UPI service is available 24X7, and it is not like RTGS and NEFT, which do not work on holidays and non-banking hours. This will bring tremendous efficiency to the system and help India become a cashless economy. Keywords: Digital illiteracy, Online payments, cashless economy UPI, Mobile phone, digital payment mode

Analisis potensi pembayaran non tunai pada pedagang di Kota Langsa

The study aims to look at the potential and barriers to non-cash payments in Langsa City. Using qualitative methods and the number of respondents as many as 6 people. The results of this study show that the city of Langsa has great potential in the application of non-cash payments along with the rapid increase of merchant development in the city of Langsa, and in the application has several obstacles including frequent network errors, lack of socialization about the use of digital transactions

Financial inclusion in the digital banking age: Lessons from rural India

In the digital age, financial inclusion continues to be connected to social inclusion. While most personal financial transactions are shifting from cash currency to digital transactions, we must ensure that marginalized members of society are not unbanked and excluded from financial opportunities. Many countries are declaring their intention to transform to cashless societies. India is one such country. As a case study, we investigated rural Indian villages that declared themselves as cashless to assess the financial reality of villagers. We conducted a survey of households (N=3,159) within villages across seven Indian states. In each state, we studied a village that was officially declared cashless and a nearby comparison village. Our findings suggest that the comparison villages did as well as the cashless villages, as financial inclusion via digital banking was minimal to nonexistent. Alongside significant state variations, we found that financial literacy and online access were the best predictors of performing any digital banking activity. This study concludes with a warning against rushing toward digital banking and the formation of cashless societies, as marginalized populations may be excluded.

Predictive Analytics with Machine Learning for Fraud Detection

The popularity of online shopping is growing day by day. In financial year 2021, over 40 billion digital transactions worth more than a quadrillion Indian rupees were recorded across the country. As the number of credit card users rise world- wide, the opportunities for attackers to steal credit card details and subsequently, commit fraud are also increasing. Since humans tend to exhibit specific behavioristic profiles, every cardholder can be represented by a set of patterns containing information about the typical purchase category, the time since the last purchase, the amount of money spent etc. So these frauds can be detected through various algorithms mainly random forest and logistic regression. To enhance the boost and build model with much more efficiency adaboost is also added. Keywords: Fraud detection, behavioristic profile, random forest, logistic regression, adaboost

Explaining the Factors Influencing Consumer Perception, Adoption Readiness, and Perceived Usefulness toward Digital Transactions: Online Retailing Experience of Millennials in India

The present study intends to identify and evaluate the factors affecting the perception and readiness of young online shoppers regarding digital transactions. Thirty variables were identified through systematic literature review that can influence consumers’ perception of digital transactions. Data were collected from 525 millennials from north India. After performing factor analysis, five broad factors were identified namely (a) personal characteristics and incentives, (b) knowledge technical capability, (c) perceived usefulness, (d) sense of security, and (e) transaction risk, which affect the perception and intention as well as adaption of young consumers regarding the digital transactions. Using regression analysis, factors affecting consumer’s perception and readiness regarding digital transactions are modeled out. The study also examines the influence on intention to adopt digital transactions and the actual adaption of digital transactions. Further, the study concludes that consumer intention to make digital transactions mediates the relationship between factors of digital transactions and digital transaction adaption behavior.

Evolution of Cryptocurrency: Changes in the Use and Consumer Demand for Digital Transactions

The quick advancement of cryptographic forms of money has caused to notice this specific market, with financial backers attempting to comprehend its conduct and analysts attempting to clarify it. The development of digital currencies' costs showed a sort of air pocket and an accident toward the finish of 2017. In view of this occasion, and on the way that Bitcoin is the most perceived digital currency, we propose to assess the infection impact among Bitcoin and other significant cryptographic forms of money. Utilizing the Detrended Cross-Correlation Analysis connection coefficient and looking at the period after and before the accident, we discovered proof of an infection impact, with this specific market being more incorporated now than in the past something that ought to be considered by current and likely financial backers. Cryptocurrency like Bitcoin have developed from being related only with geeks and revolutionaries to being considered by national banks as an innovation to carry out advanced cash. Digital forms of money exist just in computerized shape and can be moved totally between advanced addresses. This is both not normal for traditional electronic cash as perceived by laypersons which goes about as an obligation guarantee on a store with a confided in monetary foundation, for example, a private bank and dissimilar to ordinary bodily cash which might be truly moved by. This implies that any lawful rights related with holding digital forms of money should be diverse in spite of it being staying not entirely clear. In this , we take a gander at the different medicines of cash in the lawful detect and talk about the dangers related with each by drawing on genuine models. We presume that extortion through hacking might actually represent an issue to broad reception of cryptographic forms of money as the shortfall of plan of action against an outsider, for example, a bank amasses hazard in holders of digital currencies. Clients should hence practice alert and comprehend the dangers prior to putting resources into digital currencies. This admonition requires accentuation as many gatherings misunderstand the cryptography inside the innovation as shielding them from such misrepresentation when truth be told it does nothing of the sort. Keywords: Cryptocurrency, Cryptography, Digital Currencies, Bitcoin, Blockchain.

Enhancing the Speed of Response in Digital Money Transactions using Distributed Blockchain System

Waiting for anything is undesirable by most of the human beings. Especially in the case of digital money transactions, most of the people may have doubtful thoughts on their mind about the success rate of their transactions while taking a longer processing time. The Unified Payment Interface (UPI) system was developed in India for minimizing the typographic works during the digital money transaction process. The UPI system has a separate UPI identification number of each individual consisting of their name, bank name, branch name, and account number. Therefore, sharing of account information has become easier and it reduces the chances of typographic errors in digital transaction applications. Sharing of UPI details are also made easy and secure with Quick Response (QR) code scanning methods. However, a digital transaction like UPI requires a lot of servers to be operated for a single transaction same as in National Electronic Fund Transfer (NEFT) and Immediate Payment Services (IMPS) in India. This increases the waiting time of digital transactions due to poor server communication and higher volume of payment requests on a particular server. The motive of the proposed work is to minimize the server communications by employing a distributed blockchain system. The performance is verified with a simulation experiment on BlockSim simulator in terms of transaction success rate and processing time over the traditional systems.