Transaction-based Services Research Articles

NFC-Enabled ATM Transaction Using Mobile Apps

Near-field communication (NFC) is a rising remote, short-extended correspondence innovation that is taking into account existing standards of the radio-frequency identification (RFID) framework. In combination with NFC-capable advanced mobile, it empowers instinctive application situations for contactless transactions, specifically ATM cash withdrawal and balance. To increase the breadth and depth of their relationships with advanced mobile-enabled users, banks must go beyond providing custom-made information services and offer transaction-based services. This requires two areas of prime: the development of technologies like NFC and the mobile-banking ecosystem. This mobile smartcard-reader implementation enables ubiquitous, secure and convenient two-aspect authentication, the advance mobile being a very personal device which guards users in a very secure way and with that use they feel very familiar. This paper presents the ATMs contactless with their advanced mobiles via NFC challenges and security issues.

A customer lifetime value model for the banking industry: a guide to marketing actions

Purpose – The aim of this study is to develop an applicable and detailed model for customer lifetime value (CLV) and to highlight the most important indicators relevant for a specific industry – namely the banking sector. Design/methodology/approach – This study compares the results of the least square estimation (LSE) and artificial neural network (ANN) in order to select the best performing forecasting tool to predict the potential CLV. The performances of the models are compared by the hit ratio, which is calculated by grouping the customers as “top 20 per cent” and “bottom 80 per cent” profitable. Findings – Due to its higher performance; LSE based linear regression model is selected. The results are found to be highly competitive compared with the previous studies. This study shows that, beside the indicators mostly used in the literature in measuring CLV, two additional groups, namely monetary value and risk of certain bank services, as well as product/service ownership-related indicators, are also significant factors. Practical implications – Organisations in the banking sector have to persuade their customers to use certain routine risk-bearing transaction-based services. In addition, the product development strategy has a crucial role to increase the CLV of customers because some of the product-related variables directly increase the value of customers. Originality/value – The proposed model predicts potential value of current customers rather than measuring current value considered in the majority of previous studies. It eliminates the limitations and drawbacks of the majority of models in the literature through simple and industry-specific method which is based on easily measurable and objective indicators.

Optimal configuration of fault-tolerance parameters for distributed replicated server access

Server replication is a common fault-tolerance strategy to improve transaction dependability for services in communications networks. In distributed architectures, fault-diagnosis and recovery are implemented via the interaction of the server replicas with the clients and other entities such as enhanced name servers. Such architectures provide an increased number of redundancy configuration choices. The influence of a (wide area) network connection can be quite significant and induce trade-offs between dependability and user-perceived performance. This paper develops a quantitative stochastic model using stochastic activity networks (SAN) for the evaluation of performance and dependability metrics of a generic transaction-based service implemented on a distributed replication architecture. The composite SAN model can be easily adapted to a wide range of client-server applications deployed in replicated server architectures. In order to obtain insight into the system behaviour, a set of relevant environment parameters and controllable fault-tolerance parameters are chosen and the dependability/performance trade-off is evaluated.

Context-oriented and transaction-based service provisioning

This paper presents our approach for service provisioning in pervasive computing environments. The presented approach is based on the usage of context-aware features and transactions during the discovery and the deployment of composite services. Context ensures that the best service offers are selected to participate in a service composition. Transactions help in improving the reliability and efficiency of the composite services.

The Future of Self-Service Technologies in Retail Banking

Self-service technologies have had a large impact on retail banking. The central objective of this study was to profile the future diffusion levels for a number of these self-service technologies: some of which are established and some of which are still in the pilot stage. To achieve this objective, a Delphi study was conducted with leading experts from both banks and technology supplying companies in New Zealand. This sample was split into five relevant panels. The results suggested that transaction-based services, for which banks traditionally charged a relatively low fee, are moving away from human tellers and towards selfservice technology. This is freeing up time for human tellers, who are now being trained in the giving of advice related to high involvement banking services, and cross-selling. Fees for this new service have increased, and will increase, accordingly. Surprisingly, there were few major differences in the diffusion estimates across the panels -although the technology suppliers were consistently more optimistic than the bankers when it came to their estimates of the implementation and acceptance of self-service technology.

Analysis of the link error monitoring protocols in the common channel signaling network

Motivated by the excessive link status changes observed in some field operations of the common channel signaling (CCS) network, the authors provide a detailed analysis of the signaling link error monitoring algorithms in the Signaling System No. 7 (SS7) protocol. These algorithms determine when to fail a link due to excessive error rates and when to put a failed link back into service. The analysis shows that, under current SS7 specifications of the error monitoring algorithms, the probability of a signaling link oscillating in and out of service could be high, depending on the traffic load, signal unit size, and the statistical nature of errors (bursty or random). The link oscillation phenomenon could become worse as longer Transaction Capability Application Part (TCAP) messages for transaction-based services (e.g., 800 Service) are carried in the CCS networks. While the risk to the existing network may not be high due to the light loads carried at present, there is still a need to study the error monitoring issues thoroughly.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>