Consumer Behavior, Attitude and Perception Toward Modern Trade Stores in Rural Vietnam

Modern trade stores have been very successful in Vietnamese retail industry, espe-cially in some big cities. However, the popularity of such stores is still lagging behindthe traditional stores. In regard with this issue, many studies have been done overtime, but very few have been focused on rural regions in emerging countries likeVietnam. Thus, this study aims at exploring the reasons why Vietnamese consumersin the remote area prefer to shop at traditional stores instead of modern stores. Fur-thermore, this study attempts to fill the gap between these two types of formats. Theresearch uses quantitative method with the aid of SPSS software to analyze the data.The results show that consumers in the remote areas are still not willing to quit theirtraditional shopping habits for a new choice of store based on the current situation.Therefore, it is not the right time for investors to expand their modern business intothe country's rural areas

The impact of social media in business growth and performance: A scientometrics analysis

The purpose of this research is to investigate the status and the evolution of the scientific studies on the applications of social media in the business. The present research is an applied scientific method based on quantitative approach by using library method and scientometrics indicators. With the use of bibliometric library of R software, scientific products in the field of social media applications in business from 2005 to the end of January 2019, the study overviews trends and achievements of this field. The results show that from the beginning of 2005 through January 2019, 2682 articles have been indexed in Web of Science in the field of social media and business; however, since 2009, scientific productions in this topic have grown rapidly and in 2017, there was a substantial increase in the number of studies. The findings also show that the United States with 1269 published articles and the Business Horizons Magazine with the publication of 73 articles, pioneered in the publications of this topic. Analyzing the content of the works produced in the applications of the social media and businesses can help us better understand the growth trend in this area

Dynamic association between technological advancement, green finance, energy efficiency and sustainable development: evidence from Vietnam

GHG emissions growth of Vietnam is highest all over the globe and the carbon intensity of this economy is considered second highest in Asian economies. As the energy intensity level is rising constantly, thereby, the predictions indicate that Vietnam will become highest GHG emission in the region. In order to address the issue, the current article aims to investigate the impact of green finance, technology advancement, energy efficiency, industrialization, and population growth on sustainable development in Vietnamese context. The time chosen for the study is 1991 to 2020. The study has used the Dynamic Auto-regressive Distributed Lags (DARDL) and the Bayesian Auto-regressive Distributed Lags (BARDL) model for data analysis. Findings exposed that green finance, technology advancement, REO, REC, industrialization, and population growth all are positively connected with sustainable development. The study guides the regulators in establishing regulations related to sustainable development through the adoption of green finance, energy, and technolog

Automated Adaptive Mobile Learning System using Shortest Path Algorithm and Learning Style

A directed graph represents an accurate picture of course descriptions for online courses through computer-based implementation of various educational systems. E-learning and m-learning systems are modeled as a weighted, directed graph where each node represents a course unit. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose a system prototype that implements a propose adaptive learning path algorithms that uses the student’s information from their profile and their learning style in order to improve the students’ learning performances through an m-learning system that provides a suitable course content sequence in a personalized manner.https://doi.org/10.3991/ijim.v12i5.818

Confucius and herding behaviour in the stock markets in China and Taiwan

It has been argued in the literature that financial markets with a Confucian background tend to exhibit herding behaviour, or correlated behavioural patterns in individuals. This paper applies the return dispersion model to investigate financial herding behaviour by examining index returns from the stock markets in China and Taiwan. The sample period is from 1 January 1999 to 31 December 2014, and the data were obtained from Thomson Reuters Datastream. Although the sample period finishes in 2014, the data are more than sufficient to test the three hypotheses relating to the stock markets in China and Taiwan, both of which have Confucian cultures. The empirical results demonstrate significant herding behaviour under both general and specified markets conditions, including bull and bear markets, and high-low trading volume states. This paper contributes to the herding literature by examining three different hypotheses regarding the stock markets in China and Taiwan, and showing that there is empirical support for these hypotheses

Confucius and herding behaviour in the stock markets in China and Taiwan

It has been argued in the literature that financial markets with a Confucian background tend to exhibit herding behaviour, or correlated behavioural patterns in individuals. This paper applies the return dispersion model to investigate financial herding behaviour by examining index returns from the stock markets in China and Taiwan. The sample period is from 1 January 1999 to 31 December 2014, and the data were obtained from Thomson Reuters Datastream. Although the sample period finishes in 2014, the data are more than sufficient to test the three hypotheses relating to the stock markets in China and Taiwan, both of which have Confucian cultures. The empirical results demonstrate significant herding behaviour under both general and specified markets conditions, including bull and bear markets, and high-low trading volume states. This paper contributes to the herding literature by examining three different hypotheses regarding the stock markets in China and Taiwan, and showing that there is empirical support for these hypotheses

Applying DEA to assess English writing progress of university students using MyAccess in Taiwan.

[[conferencetype]]國際[[conferencedate]]20120426~20120428[[booktype]]電子版[[conferencelocation]]Osaka, Japa

Circulatory System Based Optimization (CSBO) : an expert multilevel biologically inspired meta-heuristic algorithm

202309 bcvcVersion of RecordOthersNational Research Foundation of Korea; Korea government; Chung-Ang UniversityPublishe