Results 81 to 90 of about 4,161 (218)

Prediction of Customer Engagement Response to E-wallet Content Based on Machine Learning Using Combined E-Wallet Dataset and Individual E-Wallet Dataset

open access: yesMIX: JURNAL ILMIAH MANAJEMEN
Objectives: The COVID pandemic proved that humans are not hesitant to adopt technology in the banking industry, especially as a method of payment. In Indonesia, this fact is demonstrated by the value of e-wallet transactions in 2021 which reached 18,5 billion USD.
Muhammad Ibnu Rizaldi, Sunu Widianto
openaire   +1 more source

De‐Dollarization Is a Plausible Outcome of the New Washington Consensus

open access: yesGlobal Policy, EarlyView.
ABSTRACT A trend towards de‐dollarization of the global economy in which the US dollar ceases to be used as the world's reserve currency for international transactions confronts some of the existing structures of international economic law, built upon the rules set out by US‐led organizations like the WTO, the IMF, and the World Bank. This article will
David Collins
wiley   +1 more source

E-Wallet: A Study on Cashless Transactions Among University Students. [PDF]

open access: yesF1000Res, 2022
Chelvarayan A   +3 more
europepmc   +1 more source

Customer Perception Regards E-Wallets

open access: yesInternational Journal of Recent Technology and Engineering (IJRTE), 2019
The purpose of the study was to examine customer perception regards E-wallet. The objectives of the study includes finding out the influencing factors that the customer prefer e-wallets over other mode of payment and also to analyse the customers opinion regards benefits and obstacles of E-Wallets . The researcher adopted simple random sampling method.
M. Nandhini, Dr.K. Girija
openaire   +1 more source

Understanding Digital Financial Literacy Among Older Adults in Sweden

open access: yesAccounting &Finance, EarlyView.
ABSTRACT This study examined digital financial literacy (DFL) among older adults in Sweden, with the aim of refining its conceptualisation for highly digitised welfare states. Sixteen semi‐structured interviews with individuals aged 65–93 across two municipalities were analysed inductively. While online banking and Swish were nearly universal, adoption
Fredrik Lundell, A. F. M. Jalal Ahamed
wiley   +1 more source

Perancangan E-Payment System pada E-Wallet Menggunakan Kode QR Berbasis Android

open access: yesKomputika, 2018
Sistem pembayaran uang elektronik (e-payment) adalah metode alat pembayaran nontunai yang disimpan di dalam server based (e-wallet) atau chip based (e-money).
Agus Mulyana, Hanhan Wijaya
doaj   +1 more source

Web3 and Demurrage Money

open access: yesThe American Journal of Economics and Sociology, EarlyView.
ABSTRACT This article explores the application of demurrage money, a concept developed by Silvio Gesell, into Web3. Demurrage money, designed to discourage the hoarding of currency and prevent economic stagnation and concentrations in wealth, offers a potential remedy for the problems of traditional fiat and gold‐backed monetary systems.
George Lovegrove
wiley   +1 more source

Understanding the determinants of e-wallet continuance usage intention in Malaysia. [PDF]

open access: yesQual Quant, 2022
Abdul-Halim NA   +4 more
europepmc   +1 more source

How Millennials Assess the Usability of E-Wallets

open access: yesJurnal Ilmu Keuangan dan Perbankan (JIKA)
This study investigates the impact of internet and technological advancements on millennials (born between 1981 and 2000), particularly focusing on their adoption of digital payment systems, notably the DANA platform. It examines whether millennial satisfaction with digital payment services, amidst FOMO trends, influences their loyalty to the platform.
Heri Ispriyahadi   +2 more
openaire   +3 more sources

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

open access: yesAsia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

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