Successful Payment Research Articles

Instant payments: Providing the rails for new payment solutions

In November 2023, European legislators reached an agreement on legislation to increase adoption of instant payments. Instant payments enable consumers and corporates to make transactions in real time and 24/7. These unique features allow for value-added services such as e-commerce and point-of-sale payment solutions that can compete with card payments. Through a discussion of a number of successful payment solutions built on instant payments, this paper explains how instant payments could help Europe in its quest to develop a homegrown payment solution. The analysis starts with a discussion of Brazil’s Pix and India’s Unified Payments Interface, providing interesting insights into the possibilities of instant payments. The paper then moves on to a description of the European Payments Initiative — the consortium of European banks that recently acquired iDEAL, the Dutch accountto- account e-commerce payment solution. The paper also shows how Swish — the Swedish payment solution — provides valuable lessons to Europe as regards the launch of a payment solution, notably with respect to the importance of realising network effects.

Airline Reservation and Flyer Management System

Airline reservation and flyer management system is a web-based application designed for a specific airline company. It provides a platform for frequent fliers to register and manage their flights, including the utilization of miles earned through the airline's frequent flyer program. The application allows frequent fliers to log in and input all the necessary details related to their travel within the airline company. The airline offers a range of domestic services to various locations, and users can easily search for available flights and book seats on their preferred flights. The payment for the bookings can be conveniently made online. Upon successful payment, users receive a ticket with a unique ticket number and comprehensive travel details. It is important to note that the airline company exclusively offers booking and ticketing services to individuals who have registered with their frequent flyer program. In case of any changes or cancellations, the system provides a ticket cancellation feature. Users can cancel their booked tickets, and this functionality also extends to travelers who are associated with a registered user. This ensures flexibility and convenience for all parties involved. Overall, the Magical travels streamlines the flight booking and management process for frequent fliers, while offering a secure and user-friendly interface for accessing and utilizing the airline's services.The website may utilize various technologies and frameworks, such as React, HTML, CSS, JavaScript, and server-side languages, to create a seamless and engaging user experience.

Aplikasi Pembelian Tiket Bioskop Berbasis Flutter: Integrasi Pilihan Film, Bangku, dan Pembayaran

The proliferation of mobile technology has brought about significant changes in how we interact with various aspects of daily life. In this context, mobile applications have become crucial tools for simplifying diverse processes, including the purchase of movie tickets. Amidst this evolution, the development of mobile applications has gained prominence, and the Flutter platform provides a robust framework for rapidly creating responsive and engaging applications. This study aims to present a Flutter application that allows users to purchase movie tickets with various film choices, seat selections, and payment methods. The application is designed to deliver an interactive and efficient experience for users to access film options, choose desired seats, and complete the payment process through their preferred methods. The development methodology of this study applies a user-centered approach, focusing on intuitive user interface design and implementing features that cater to user needs. Additionally, the research involves integration with payment systems and the relevant business logic associated with ticket purchasing. The outcome of this research is a Flutter movie ticket purchasing application with an appealing and responsive user interface. The application empowers users to select movies they intend to watch, opt for desired seats, and choose the most suitable payment option. Upon successful payment, the application also presents a summary of the ticket purchase data. It is anticipated that this application will contribute positively by simplifying the movie ticket purchasing process, enhancing user experiences, and providing valuable insights into how mobile application development can effectively meet user needs.

"I Have to Use My Son's QR Code to Run the Business": Unpacking Senior Street Vendors' Challenges in Mobile Money Collection in China

Mobile payment systems have become an infrastructural component in citizens' socio-economic life in China. The rapid shift to a cashless society demands vendors of all ages to quickly adapt themselves to the ubiquitous mobile payment era. However, how this trend may impact senior vendors, a group that typically uses less technology, remains unknown despite its significance in inclusive mobile payment design. This work aims to address this gap by investigating the challenges and strategies of senior vendors in mobile payment adoption. Particularly, we focus on a traditional low-resource setting with a large volume of senior vendors: street vending. We conduct a qualitative study incorporating field observations on 33 senior street vendors and semi-structured interviews with 15 of them (aged 53-78), and take Moneywork as an analytical lens to unpack their challenges in physical and social interactions. We find that senior street vendors are a group passively adopting mobile payments due to business requirements instead of recognizing their advantages. Vendors with relatively low digital literacy have to take an alternative method - using family members' QR codes - to run the business as family-dependent money receivers. With limited considerations for senior vendors' situational vulnerabilities, unexpected difficulties of payment confirmation emerge during transactions, such as reduced confirmation efficacy under noisy surroundings and degraded hearing. Transaction security issues also appear when mobile payment-based frauds target both confirmation interfaces (e.g., fake sounds of successful payment) and trust systems (e.g., showing half-done proof to flee without paying) in street vending. Finally, we raise a less visible yet critical concern of family-dependent vendors on the lost money freedom when their income flows into their families' wallets. We propose design implications for mobile payment systems to support more secure, efficient and accessible money collection services to underrepresented groups.

Optimal pricing strategy of retailers considering speculative customers’ add-on items return behavior with cross-store full-reduction promotion

This purpose of the paper is to explore the optimal price strategy for the retailers under the cross-store full-reduction promotion mode, where speculative consumers will deliberately purchase add-on items to qualify for discounts when the purchase amount is less than the “full-reduction” threshold and then return the add-on items after successful payment. With respect to the optimal decision problem consisting of two online complementary retailers and an e-commerce platform in the face of speculative consumers’ add-on items return behavior, we construct the single-cycle sales decision models based on the revenue sharing contract. Furthermore, through the derivative function analysis method, we examine the effect of the proportion of speculative consumers, the proportion of product sharing discount amount and revenue sharing coefficient on the platform’s sale strategy and the retailers’ the optimal price strategy. The results show that whether platform implements cross-store full-reduction promotion strategy or not, the product price increases with the increase of revenue sharing coefficient. In addition, under the non-promotion sales mode, the optimal price is not affected by the speculative consumers’ behavior. Under the cross-store full-reduction promotion sales mode, the optimal price changes with the proportion of product sharing discount amount and the proportion of speculative consumers. And the price of only purchasing single product in this case is always higher than the price under the non-promotion sales mode. Finally, we compare the profits under the two scenarios, it is found that the profits under the cross-store full-reduction promotion sales mode are not always higher than that under non-promotion sales mode and the boundary conditions for the platform to adopt different modes are further given.

Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT

Dynamic off-chain routing in payment channel network (PCN)-based Internet of Things (IoT) is attracting increasing research attention. However, there are two major issues in dynamic routing in PCN-based IoT with resource-limited devices. The first issue is how to achieve high long-term transaction efficiency in PCN with dynamic channel capacities. The second issue is how to achieve a lightweight routing algorithm deployed on IoT devices while achieving high transaction efficiency, i.e., successful payment amount and success ratio. Therefore, in this paper, we propose a compact deep reinforcement learning (DRL) algorithm to learn the joint dynamic and lightweight routing policy for maximizing long-term transaction efficiency. To obtain optimal performance in dynamic routing problems for off-chain systems, a proximal policy optimization algorithm is employed to create an actor–critic learning structure for training the teacher DRL model. To obtain a compact and efficient student DRL model, an adaptive pruning technique is utilized for pruning unnecessary parameters of networks in the teacher model adaptively without affecting its learning ability. Furthermore, knowledge distillation is leveraged to improve the performance of the student network. Thus, a compact and efficient student DRL model can be developed and implemented to maximize the long-term transaction efficiency in off-chain systems on resource-limited IoT devices. The simulation results demonstrate that the proposed DRL algorithm outperforms the other baseline algorithms in PCN transaction efficiency while requiring only 10% of the computation and storage resources compared with that of the original teacher model.

Radiation Therapy Expenditures Through the First 8 Performance Periods of the Oncology Care Model at a Statewide Multispecialty Health System

Our purpose was to use real world data to assess trends in radiation therapy (RT) treatment fractionation and cost under the Oncology Care Model (OCM) through the first 8 performance periods (PPs). We identified 17,157 episodes of care from 9898 patients treated at a statewide multispecialty health system through the first 8 6-month PPs (PP1-8: July 1, 2016, to June 30, 2020) of the OCM. Spending was stratified by 10 expenditure domains (eg, Part B/D drugs, radiation oncology [RO], etc), and 21 disease sites were extracted from claims data, from which an analysis of RO expenditures was performed on 2219 episodes from 2033 patients treated with RT. Expenses are expressed in per-beneficiary, per-episode terms. RO expenditures comprised 3% ($14.7M) of total spending over the 8 periods. By primary cancer, the largest RO expenses were for breast ($2.9M; 20%), prostate ($2.9M; 19%), and lung cancer ($2.8M; 13%). For RO, total per-episode average spending remained roughly constant between PP1 ($6314) and PP8 ($6664; Ptrend > .05) and decreased ($6314-$6215) when indexed to the Consumer Price Index for July 2016. Average number of RT fractions per episode decreased from 19.2 in PP1 to 18.6 in PP8; this decrease was most notably seen for breast (-2.1), lung (-2.8), and female genitourinary (-3.5) cancers. Intensity-modulated RT (IMRT) charges accounted for $7.6M (51%) of RT spending and increased 5% from PP1 to 8, whereas conventional external beam RT made up $3.0M (21%) and decreased 8%. Expenses for image guidance ($2.5M; 17%; +2% from PP1-8) and stereotactic RT ($1.3M; 9%; +1%) increased. In inflation-adjusted terms, total RO expenditures have declined despite greater use of IMRT, stereotactic RT, and image guidance. Conversely, oncology costs have risen because of drug spending. Successful payment models must prioritize high-cost spending areas-including novel drug therapies-while accounting for high-value care and patient outcomes.

Efektivitas Penerapan Transaksi QRIS Era Covid-19 di Pasar Tradisional Kota Batam Menurut Perspektif Hukum Progresif

In the Covid-19 era, the Minister of Public Health uses non-cash transactions, non-cash transactions that reduce direct interaction are the QRIS (Quick Response Code Indonesian Standard) payment system, with a QR Code Scan of successful payment transactions. So according to researchers, traditional markets in Batam city are places that often use cash transactions, so it is good if QRIS payments can be made in traditional markets. The research used by the researcher is empirical which goes directly to the field to see the market situation and how effective the implementation of QRIS is by conducting interviews with business actors in the traditional market. The researcher obtained data from DISPRINDAG, Bank Indonesia and Conventional Banks for effective implementation of QRIS in Traditional Markets because of the 51 Traditional Markets in Batam City only 3 traditional markets have implemented QRIS, so the solution is according to Government Progressive Law, Bank Indonesia and Conventional Banks that support QRIS must conduct socialization to traditional market businesses and the community to explain more clearly and help business actors who want to implement QRIS so that the implementation of QRIS can run effectively, and can suppress the transmission of Covid-19, at the Batam City Traditional Market by utilizing the non-cash payment method using QRIS

Case Law Trends: Chargeable Events and Chargeability of VAT in the Context of Successive Payments: Comments in the Light of the Judgments in Cases C-324/20 and C-9/20

The moment of accounting for Value Added Tax (VAT) is determined by the moment when the chargeable event occurs. In some cases, this moment may be linked to the date of payment of remuneration, including when it is paid in instalments. Does splitting the remuneration into parts (instalments) always affect the moment when the chargeable event occurs, or is it relevant only for services which are by their nature performed in parts? These questions are answered by the Court of Justice of the European Union (CJEU) in the rulings presented here. Chargeable event, VAT chargeability, successive payments, instalments, one-time service, continuous services, repetitive services

Smart Parking Management System

Now days parking are the critical issues in smart city. Due to parking problem traffic problems are increased, the proposed smart parking system implemented using the Android Application that’s provides to user an easy way of booking the parking slots through an application. Given system avoid the problem of traffic conjunction in commercial areas that unnecessarily consumes time, this paper provides the easy reservation system for parking. In this application the user can view various parking slots and check for the availability of slots. Whenever a user books a particular slot it will be marked red and all the available slots will be green. Booking can be done through credit card/net banking. This application also provides an additional feature of canceling the booked slot within 20 minutes from the time of booking. If the user fails to reach the destination on time then the reservation will be cancel and the payment is refunded. On successful payment a parking number is sent to user’s email or to his mobile number for further enquiry. Hence this application reduces the user’s effort and time of searching the parking slot and also avoids conjunction of traffic using the internet of things.

An Ubiquitous Home Based Food ordering Application

Food ordering apps generally work as mediators between restaurants and customers. It has become easy for the customers to get any food they want from a restaurant to be delivered directly to the home. But there is no option of home cooked food in those food ordering apps. There are times when people staying far from their home feel like having home cooked meals daily and not preferring restaurants. Home chef app works as a bridge between the home chef and the customers hence serving the customers the authentic meals which gives them the feel of home. The app provides them with variety of meal plans from different home cooks from the locality. They can subscribe the meal plan according to their wish. The trial pack makes it easy for one to choose the chef according to his/her need. This way of subscribing the food makes the customer to eat the local homemade food along with the health taken care of. The online mode of payment makes the subscription of meal plan easy. After the successful payment the food will be delivered to the given address according the subscribed plan. Customer feedback will help in good customer chef relationship.

Internet of Things Based Smart Vending Machine using Digital Payment System

The advent of the Internet envisions a cashless society by enabling financial transactions through digital payments. Significantly, the emergence of coronavirus (COVID-19) disrupted our traditional cash handling means and triggered an inflection point for switching towards contactless digital payments from physical cash payments. Furthermore, Internet of Things (IoT) technology escalates digital payments to the next level by enabling devices to render goods and services without requiring any human interaction. This research proposed an IoT-enabled cashless vending machine that incorporates both cloud computing and payment gateway for ordering and purchasing items through digital payment systems by using a mobile application. The system enables a pre-installed mobile application to scan the Quick Response (QR) code attached to the body of a vending machine, opens the portal of a web-based virtual machine through the code, allows user to choose and order items from the virtual vending, initiates and authorizes a digital payment through an IoT gateway installed inside the physical vending machine by establishing a connection between user's and vendor's financial entities, and finally, dispenses the ordered items by unlocking the shelves of the vending machine after the successful payment transaction. It operates in the Arduino platform with an ATmega 2560 Microcontroller and Esp8266 Wi-fi module as hardware components, mobile application software, and payment gateway API. The system performed an average response time of 14500 milliseconds to pick a product after running 150 consecutive API test calls. This result shows a satisfying time for enhancing customers' buying experiences with digital payment systems and a customizable and cost-effective IoT-based intelligent vending machine to introduce for mass production.

Factors Influencing the Use of E-Wallet among Millennium Tourist

The development of information and communication technologies changes how many industries and services operate. Those changes are also concerning all sectors of the travel industry, although some more than others. Mobile access to the internet allows consumers to purchase through transaction-based applications such as e-ticketing, QR-code services, Bitcoin, E-wallet, and using a third party like PayPal. E-Wallet is predicted to be one of the future's most successful payment modes but has achieved limited acceptance in developed countries to date. Similarly, this service is considered new in Malaysia. Utilizing Davis' Technology Acceptance Model, this study examines the factors contributing to E-Wallet's adoption among the millennial tourist in Kuala Lumpur. Using the self-administrated questionnaires, data from 100 respondents were collected and analyzed using SPSS. The finding revealed that perceived ease of use of E-Wallet among millennial tourists proved to be the most substantial cause besides the significant positive relationships found from other variables such as perceived usefulness and social influence in the context of millennium tourists. However, perceived credibility was found not related to the adoption of E-Wallet. These findings have important theoretical and practical implications, particularly for the development and marketing of E-Wallet service, which will support the long‐term success of mobile commerce.

RETRACTED: Research on Fintech development issues based on embedded cloud computing and big data analysis

Financial technology will be widespread attention. It is growing rapidly. As a result of its continued development, new regulations have already been introduced in this field. The word "fintech" is one such word. Financial technology will be used in the field for various activities. Usually, these procedures are performed by the company or organization that provides information technology-based service that is requested by using an application. Various other important issues, such as network attack security restrictions and privacy threat accounts, should not be left unattended. It integrates various state-of-the-art technologies such as mobile, embedded systems, mobile networks, mobile computing, cloud, big data, data analysis technology, and embedded cloud computing, including FinTech development. It is important to Embedded Finance (EF) for its seamless integration and finance of its customers' business services, just as ride-sharing companies Uber and Lyft have integrated very successful payments. Refers to the provision of services. Embedded finance is a financial service on the terms of the customer, from anywhere, anytime. There is no longer a need to visit banks that have access to their money. In some cases, embedded finance (in more specifically embedded banks) eliminates traditional banks.

Implementation of Universal Health Management and Monitoring System in Resource-Constrained Environment Based on Internet of Things

The physiological health and chronic diseases of humans can be monitored by linking up health management and monitoring (HMM) system with the Internet of things (IoT), which transcends the restrictions of time and space. However, the IoT network faces several resource constraints, such as limited storage and initial energy of nodes, long delay of response to system transmission, and low rate of successful payments. To solve these problems, this paper explores the IoT-based implementation of universal HMM system in resource-constrained environment. Firstly, the forwarding utility of the communication between adjacent IoT nodes was estimated, and an incentive strategy was prepared for the IoT nodes in the resource-constrained environment. Next, a universal HMM system was designed, and the scheme for denoising, baseline drift filtering, and feature point detection was introduced step by step. After that, the authors presented the design process of the communication protocol, and the workflow of the cloud server. Through experiments, the measurements of the detection modules in the proposed universal HMM system were proved effective, and our algorithm was confirmed superior in the success rate of message delivery, the mean residual energy of nodes, and the delay of system response.

Intelligent Bus Fare Management System using Naive Bayes Algorithm

In India, Buses are considered to be one of the cheapest mode of Public Transportation. Everyday thousands of people travel by bus to reach their offices, Amusement park, malls etc. The project has it’s use in providing an efficient transportation system in India. We are proposing such a system due to increase in traffic in recent days and to promote for public transportation among daily travellers. In this system, we are proposing QR reader for generating bus ticket. Users can scan QR code reader and make payment instead of taking tickets from conductor. Whenever a person decides to travel from one place to another, they have to select from and to location. It will then display all the buses moving in that particuar route. The user can then select the bus whichever suits him and then it will display amount details for per person and seat gets booked for the user. Then to generate the actual ticket, the users have to scan the QR code which is placed in the bus and make the required payment. After the successful payment, the conductor and traveller gets notified through SMS. Using this application, the user can also track the location of any bus with the help of GPS (Global Positioning System) and get to know the estimated arrival time(ETA) of a particular bus. The Application reduces passenger waiting time and make their travelling smooth and efficient. Also, we are using Naive bayes algorithm for classification of various attributes such as no of tickets booked every hour, no of person travelling in day, frequency of buses moving etc. Based on these attributes we can predict the probability of Buses required in a particular route, a single person travelling number of times in a day etc and help the public transport companies in increasing the usage while reducing the operational cost.

Getting Incentives Right in Payment Reform: Thinking Beyond Financial Risk.

Successful payment reform requires strong incentives for provider organizations to limit health care spending. Often overlooked in the debate over how to strengthen global budget models is that inc...

Long-Term Impact of China’s Returning Farmland to Forest Program on Rural Economic Development

The Returning Farmland to Forest Program (RFFP) is widely known as one of China’s largest and most successful payment schemes for ecosystem service projects for the achievement of both environmental and economic sustainability. By sponsoring afforestation activities and compensating farmers for converting cropland to forest, the project was designed to achieve multiple goals. Ecologically, the program aims to expand forest cover and to reduce flood and soil erosion. Economically, it aims to alleviate poverty and improve rural livelihoods. Although the official metrics indicate successful program outcomes in the short term, researchers have reported mixed and controversial results for long-term outcomes. We combined the difference-in-difference (DID) with instrumental variables (IVs) regression to examine the long-term effects of China’s RFFP on local economic development. We found that (1) the RFFP has had a remarkably positive impact on local economic growth in the primary sector, but considerably limits the growth of enterprises above a designated size by 16.8%; (2) the RFFP is unable to promote the development of the secondary industry because it cannot effectively promote the transfer of rural laborers to the secondary industry sector; and (3) in addition to increasing the general budgetary expenditure of local finance by 7.50%, this program has significantly reduced local fiscal revenue by 35.50%. We suggest that eco-compensation should consider the performance of the RFFP in its evaluation criteria.

Easy Payout, Advanced shopping, and Security in Super Market

Nowadays there is a very common issue among the general public that is lack of time. This lack of time has let the consumers to be impatient. Another most important threat to the shop or supermarket owners are theft. Many cases persist in robbery or theft in this modern era. Despite having security systems, alarms and security guards there exists the cases of theft. This leads to a huge loss to the market as well as the shop owners. They face a great challenge due to this. This idea is capable of reducing or rather preventing these issues to occur. This will provide consumers with an easy and time- efficient way. The idea if the project is to deduce a method for smart super-market stores that operate efficiently by reducing the time a customer spends at the billing desk. The target can be achieved by the use of smart bands designed especially for use by the super-market which will keep accumulating the price of the products taken off the racks by the customer. The total system will work on sensors and cloud monitoring which while the shopping will get updated by the user. When the customer is done with shopping, they can request an electronic bill that will allow payment in any of the available formats and will enable the customer to collect the physical bill after the successful payment of the total bill. This payment will be directly made by scanning the code in the billing counter through the band which will directly reflect the amount from the temporary cart and the payment will be proceeded in anyways according to the shopper.

Factors Influencing Revenue Collection for Preventative Maintenance of Community Water Systems: A Fuzzy-Set Qualitative Comparative Analysis

This study analyzed combinations of conditions that influence regular payments for water service in resource-limited communities. To do so, the study investigated 16 communities participating in a new preventive maintenance program in the Kamuli District of Uganda under a public–private partnership framework. First, this study identified conditions posited as important for collective payment compliance from a literature review. Then, drawing from data included in a water source report and by conducting semi-structured interviews with households and water user committees (WUC), we identified communities that were compliant with, or suspended from, preventative maintenance service payments. Through qualitative analyses of these data and case knowledge, we identified and characterized conditions that appeared to contribute to these outcomes. Then, we employed fuzzy-set qualitative comparative analysis (fsQCA) to determine the combinations of conditions that led to payment compliance. Overall, the findings from this study reveal distinct pathways of conditions that impact payment compliance and reflect the multifaceted nature of water point sustainability. Practically, the findings identify the processes needed for successful payment compliance, which include a strong WUC with proper support and training, user perceptions that the water quality is high and available in adequate quantities, ongoing support, and a lack of nearby water sources. A comprehensive understanding of the combined factors that lead to payment compliance can improve future preventative maintenance programs, guide the design of water service arrangements, and ultimately increase water service sustainability.