Linking Relationship Marketing to Customer Loyalty in The E-Banking Context: The Central Role of Customer Satisfaction

This research examines the interrelationships between relationship marketing, customer satisfaction and customer loyalty in e-banking’s context. The study was conducted in two phases: In-depth interviews and a quantitative survey with a sample of 690 Vietnamese individual and corporate e-banking customers. The research results show that customer satisfaction mediates the impact of relationship marketing on customer loyalty among individual customers. Meanwhile, instead of customer satisfaction, relationship marketing significantly and directly contributes to the loyalty of the corporate customer group. The significance and magnitude of the effects that the five dimensions of relationship marketing’s effectiveness have on customer satisfaction and loyalty, which include the banks’ commitment, customer experience, process-driven approach, service reliability and application of technology, are also different between the two customer segments. This study theoretically contributes to the research stream regarding the mechanism underlying the relationship between relationship marketing’s effectiveness and customer loyalty in the e-banking context, and proposes practical implications for commercial banks to effectively apply relationship marketing in the virtual business environment

Similarities and Differences of the Dam Giong Epics (Vietnam) and Reamker (Cambodia), Ramakien (Thailand), PhraLakPhra Lam (Laos) (Note 1)

There are a lot of similarities and differences in The Dam Giong epics of Bahnar ethnic in Central Highlands-Vietnam and Reamkerepic (Cambodia), Ramakien epic (Thailand) and PhraLakPhra Lam epic (Laos). Although there are some similarities in content and themes, these epics differ in capacity, structure, character system and some other artistic elements. Reamker, Ramakien, PhraLakPhra Lam are short independent epics, deriving from Ramayana epic (Indian). Meanwhile, The Dam Giong epics, about a hero named Giong, have a large capacity of hundreds of epics. These epics derive from myths, legends and creeds of Bahnar ethnic in the Central Highlands-Vietnam, especially, they are “living” epics. Nowadays, the epics of Dam Giong are still being circulated and they are developing in the lives of Bahnar ethnic. Currently, in Central Highlands-Vietnam, the epics of Dam Giong are still composed and the number of these epics is constantly increasing

A METHOD FOOTBALL TEAM MODEL OPTIMIZATION AND APPLICATION OF THE OPTIMIZATION CONTROL

The development of the AI, IoT, and Big Data have to become strongly apply to discrete event strings systems. That are modern developments of the world. Therefore, we have to have an advanced method to develop adaptive applications, especially with MIMO discrete event systems. There is a limit while using a continuous calculation to control systems because the big calculation is an obstacle. So we have to find an optimization method to reduce the number of parameters in the calculation at any time. We could do it by choice the main parameters and except auxiliary parameters. In this paper, we introduce a Football Team Optimization (FTO) method, which is a new method to do optimization problem while control with many parameters system. The application and analysis to compare any method as PSO, traditional PID, which takes out the difference of this algorithm

ASEAN- Australia Trade Relations by Stages of Processing: Comparative Research

ASEAN and Australia became the dialogue partner in 1974. Over 46 years of cooperation and development, ASEAN- Australia relations have achieved many good results, especially in recent years when two sides participate in several free trade agreements (FTAs) at bilateral levels and multilateral levels. In 2014, Australia and ASEAN formally became strategic partners, recognizing the importance of the relationship in building mutual benefits. Participation in FTAs and relationship upgrading has helped bilateral trade growth. In 2018-2019, Australia was the seventh-largest trading partner of ASEAN and ASEAN was one of Australia's top three trading partner, however, the two sides face many challenges such as the difficulties after the global crisis since 2009, the "spaghetti bowl" phenomenon of joining many agreements at the same time. Thus, to solve these problems, the production and exporting of comparative advantage goods by the stages of processing to participate in an ideal regional supply chain are very important. Based on the comparative theory and supply chain perspectives The paper compared revealed comparative advantage indexes of ASEAN countries and Australia from 2009 through 2018 to find which country in ASEAN is Australia's suitable partner from which provided the ideal effective supply chain distribution. After that, through trade value comparison, the paper examed if ASEAN countries and Australia specialized in production by stages of processing. From the results, appropriate recommendations were provided to enhance the trade relations between ASEAN and Australia

Research on Aeroelasticity Phenomenon in Aeronautical Engineering

Aeroelasticity phenomena arise when structural deformations induce changes on aerodynamic forces due to airplane structures that are not completely rigid. The additional aerodynamic forces cause an increase in the structural deformations, which leads to greater aerodynamic forces in a feedback process. These interactions may become smaller until reaching a condition of equilibrium or may diverge catastrophically if resonance occurs. Flutter is an instability aeroelasticity phenomenon which is the most difficult to predict. In this chapter, a numerical method and an experimental method were realized to predict aeroelastic response and characteristic parameters of a wing structure. The numerical method was firstly developed based on the interaction between computational fluid dynamic and computational structural dynamic methods using a coupling system, fluid–solid interaction (FSI), in the ANSYS software. Then, an experiment was set up in suitable conditions to study aeroelasticity characteristics with the goal of comparing the numerical results with the experimental results on the same wing structure at low speed. After that, a developed code based on immersed boundary method (IBM) was realized to predict aeroelasticity response and characteristic parameters of the wing structure. AGARD 445.6 wing model was chosen for this developed procedure at high speed. Obtained results were compared to other numerical and experimental results

An Application of Vector Autoregressive Model for Analyzing the Impact of Weather And Nearby Traffic Flow On The Traffic Volume

This paper aims to predict the traffic flow at one road segment based on nearby traffic volume and weather conditions. Our team also discover the impact of weather conditions and nearby traffic volume on the traffic flow at a target point. The analysis results will help solve the problem of traffic flow prediction and develop an optimal transport network with efficient traffic movement and minimal traffic congestion. Hourly historical weather and traffic flow data are selected to solve this problem. This paper uses model VAR(36) with time trend and constant to train the dataset and forecast. With an RMSE of 565.0768111 on average, the model is considered appropriate although some statistical tests implies that the residuals are unstable and non-normal. Also, this paper points out some variables that are not useful in forecasting, which helps simplify the data-collecting process when building the forecasting system.Comment: International Conference on Computing and Communication Technologies (RIVF2022

Analysis of tool wear and surface roughness in high-speed milling process of aluminum alloy Al6061

In this study, the influence of cutting parameters and machining time on the tool wear and surface roughness was investigated in high-speed milling process of Al6061 using face carbide inserts. Taguchi experimental matrix (L9) was chosen to design and conduct the experimental research with three input parameters (feed rate, cutting speed, and axial depth of cut). Tool wear (VB) and surface roughness (Ra) after different machining strokes (after 10, 30, and 50 machining strokes) were selected as the output parameters. In almost cases of high-speed face milling process, the most significant factor that influenced on the tool wear was cutting speed (84.94 % after 10 machining strokes, 52.13 % after 30 machining strokes, and 68.58 % after 50 machining strokes), and the most significant factors that influenced on the surface roughness were depth of cut and feed rate (70.54 % after 10 machining strokes, 43.28 % after 30 machining strokes, and 30.97 % after 50 machining strokes for depth of cut. And 22.01 % after 10 machining strokes, 44.39 % after 30 machining strokes, and 66.58 % after 50 machining strokes for feed rate). Linear regression was the most suitable regression of VB and Ra with the determination coefficients (R2) from 88.00 % to 91.99 % for VB, and from 90.24 % to 96.84 % for Ra. These regression models were successfully verified by comparison between predicted and measured results of VB and Ra. Besides, the relationship of VB, Ra, and different machining strokes was also investigated and evaluated. Tool wear, surface roughness models, and their relationship that were found in this study can be used to improve the surface quality and reduce the tool wear in the high-speed face milling of aluminum alloy Al606