Showing 1 - 10 of 10
, Vietnam against the related algorithms. …
Persistent link: https://www.econbiz.de/10012044819
Growing in the competitive environment, organizations need to find ways to improve their performance even better by ensuring that all key drivers are being developed and utilized effectively. Thai and Vietnamese food industries are rapidly growing sectors. This study investigates the...
Persistent link: https://www.econbiz.de/10012045799
been conducted on four metro construction projects in Vietnam to assess the knowledge transfer in practice. The process and …
Persistent link: https://www.econbiz.de/10012046265
, customer satisfaction and customer loyalty in the context of Vietnam - emerging as a new potential market. The findings of this …
Persistent link: https://www.econbiz.de/10012047486
The purpose of this study is to explore expectations in information technology skills for organizations in Vietnam, a … developing country in South East Asia. Previous research in Vietnam has mainly focused on information technology adoption; this … study offers an insight into the demands of information technology skills in Vietnam. A theoretical framework consisting of …
Persistent link: https://www.econbiz.de/10012049029
Stock price forecasting is a classic problem facing analysts. Forecasting models have been developed for predicting individual stocks and stock indices around the world and in numerous industries. According to a literature review, these models have yet to be applied to the restaurant industry....
Persistent link: https://www.econbiz.de/10012043160
This study has examined the IPO performance in India from 2007 to 2013. Results show that under-pricing exists in the first day of trading during the particular period, but results show that the degree of under-pricing is dramatically decreased in comparison with what is shown in previous...
Persistent link: https://www.econbiz.de/10012043615
This article proposes an approach to constructing sentiment lexicons in the financial domain. The approach takes advantages of news bulletins and a given financial variable, such as stock prices, to generate candidates of sentiment expressions by fusing the two data sources. The candidates are...
Persistent link: https://www.econbiz.de/10012046534
The present article predicts the movement of daily Indian stock market (S&P CNX Nifty) price by using Feedforward Neural Network Model over a period of eight years from January 1st 2008 to April 8th 2016. The prediction accuracy of the model is accessed by normalized mean square error (NMSE) and...
Persistent link: https://www.econbiz.de/10012047543
Social media-based forecasting has received significant attention from academia and industries in recent years. With a focus on Twitter, this paper investigates whether sentiments of the tweets regarding the 7 largest US financial service companies (in U.S. dollars) are related to the stock...
Persistent link: https://www.econbiz.de/10012049204