196,986 research outputs found
Algorithmic Channel Design
Payment networks, also known as channels, are a most promising solution to the throughput problem of cryptocurrencies. In this paper we study the design of capital-efficient payment networks, offline as well as online variants. We want to know how to compute an efficient payment network topology, how capital should be assigned to the individual edges, and how to decide which transactions to accept. Towards this end, we present a flurry of interesting results, basic but generally applicable insights on the one hand, and hardness results and approximation algorithms on the other hand
User Value in Modern Payment Platforms: A Graph Approach
Payment platforms have signiļ¬cantly evolved in recent years to keep pace with the proliferation of online and cashless payments. These platforms are increasingly aligned with online social networks, allowing users to interact with each other and transfer small amounts of money in a Peer-to-Peer fashion. This poses new challenges for analysing payment data, as traditional methods are only user-centric or business-centric and neglect the network users build during the interaction. This paper proposes a ļ¬rst methodology for measuring user value in modern payment platforms. We combine quantitative user-centric metrics with an analysis of the graph created by usersā activities and its topological features inspired by the evolution of opinions in social networks. We showcase our approach using a dataset from a large operational payment platform and show how it can support business decisions and marketing campaign design, e.g., by targeting speciļ¬c users
Web-Based Online Booking Service System Application Design using Software Development Life Cycle Method
The purpose of this research is to design a web-based online booking service system application to become a structured booking service data management system. The information obtained will be developed towards computerization through the internet network, which so far is still done conventionally. Data management that can be done by the admin is managing admin data, customer data, booking data, mechanical data, page data and contact data. This application also supports the creation of payment invoices. This web-based online booking service system application has two application interfaces, one for the customer and the other for the administrator. Based on the results of tests carried out both offline and online, this online booking service system application can process booking service data and this application successfully displays information about car services, both booking packages, additional packages, estimated costs and payment invoices. Based on testing using a questionnaire on a web-based online booking service system application, the results obtained are that this application is quite helpful in managing vehicle service booking data and this application can assist the repair shop in providing information related to vehicle service to customers
Predicting mobile network operators users m-payment intention
Purpose ā This study aims to investigate the intention of using mobile payment (m-payment) services in Sarawak, Malaysia. Design/methodology/approach ā A total of 194 online payment users were selected to respond to the structured questionnaire. The partial least squares-structural equation modelling (PLS-SEM) was used to analyse the data by assessing the measurement and model. Findings ā Perceived usefulness(PU)and perceived ease of use mediated the relationship between perceived compatibility(PC) and the intention to use the mobile payment for mobile network operatorsā services. Research limitations/implications ā The analysis provides insights that PC is considered as a signiļ¬cant determinant for mobile payment of mobile network operatorsā services. Practical implications ā The operators can consider factors such as PC in the design of their mobile applications and the potential to expand them-payment services too theirs e-wallet such as Sarawak e-wallet. The model possesses medium prediction power, which suggests that other variables such as perceived security and personal innovativeness also can be used to predict the usage behavior of mobile payment for the mobile network services. Originality/value ā The present study contributes to them-payment usersā behavior intention literature by investigating the mobile-based predictors of using m-payment technology in an emerging digital economy state in Sarawak, Malaysia. This study also extends the knowledge of technology acceptance model by introducing the mediation effect of PU and ease of use between the mobile-based predictors and m-payment intention
Design of online transaction model on traditional industry in order to increase turnover and benefits
Online transactions are transactions made sellers and buyers online through the Internet media, there is no direct encounter between buyers and sellers. Currently with the rapid development of technology and the Internet in Indonesia, has had a great impact on the change of industrial business. That is starting from the way advertising, buying and selling, how to interact between humans, and so forth. With e-commerce has changed a lot in the process of buying and selling. Panda Alami is one of the banana chips industry established since 1998 in Cipadang Pesawaran village. This banana chips industry still uses manual way in transaction process. To increase the turnover and profit that is the purpose of this study, the transaction model is developed with SDLC (System Development Life Cycle) and software used to design and design this application is PHP programming language, MySQL Database and Adobe Photoshop CS3. Features include product search, order, delivery and payment confirmation and thus provide integration of the entire inventory unit sales network. An equally important factor is trust. In this process trust is the main capital. Because without the trust of both parties, then the process of online transactions can not happen and done
Time and Location Aware Mobile Data Pricing
Mobile users' correlated mobility and data consumption patterns often lead to
severe cellular network congestion in peak hours and hot spots. This paper
presents an optimal design of time and location aware mobile data pricing,
which incentivizes users to smooth traffic and reduce network congestion. We
derive the optimal pricing scheme through analyzing a two-stage decision
process, where the operator determines the time and location aware prices by
minimizing his total cost in Stage I, and each mobile user schedules his mobile
traffic by maximizing his payoff (i.e., utility minus payment) in Stage II. We
formulate the two-stage decision problem as a bilevel optimization problem, and
propose a derivative-free algorithm to solve the problem for any increasing
concave user utility functions. We further develop low complexity algorithms
for the commonly used logarithmic and linear utility functions. The optimal
pricing scheme ensures a win-win situation for the operator and users.
Simulations show that the operator can reduce the cost by up to 97.52% in the
logarithmic utility case and 98.70% in the linear utility case, and users can
increase their payoff by up to 79.69% and 106.10% for the two types of
utilities, respectively, comparing with a time and location independent pricing
benchmark. Our study suggests that the operator should provide price discounts
at less crowded time slots and locations, and the discounts need to be
significant when the operator's cost of provisioning excessive traffic is high
or users' willingness to delay traffic is low.Comment: This manuscript serves as the online technical report of the article
accepted by IEEE Transactions on Mobile Computin
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