ABSTRACT
The COVID-19 pandemic has had a massive impact on the global aviation industry. As a result, the airline industry has been forced to embrace new technologies and procedures in order to provide a more secure and bio-safe travel. Currently, the role of smart technology in airport systems has expanded significantly as a result of the contemporary Industry 4.0 context. The article presents a novel construction of an intelligent mobile robot system to guide passengers to take the plane at the departure terminals at busy airports. The robot provides instructions to the customer through the interaction between the robot and the customer utilizing voice communications. The usage of the Google Cloud Speech-to-Text API combined with technical machine learning to analyze and understand the customer's requirements are deployed. In addition, we use a face detection technique based on Multi-task Cascaded Convolutional Networks (MTCNN) to predict the distance between the robot and passengers to perform the function. The robot can guide passengers to desired areas in the terminal. The results and evaluation of the implementation process are also mentioned in the article and show promise.
ABSTRACT
Digital channels (websites, bank apps, mobile banking) are incrementally improving as a result of technology innovation and changing customer behavior. The unprecedented Covid-19 pandemic has just added to this trend by urging people to work and make all financial transaction through the Internet. In this context, the question arises of whether banks should revive their physical branches or take the opportunity to shift to mainly digital platform? This research focuses on the branch network trend of Vietnamese commercial banks during the period 2012–2019 to answer the question, what is the contribution of bank branch networks to the banks’ profits. Panel data from 22 largest Vietnamese commercial banks in terms of owners’ capital has been analyzed, using Random Effect Model (REM) regression models. The results show that Vietnamese banks are still expanding their branch networks, despite the fact that bank customers are increasingly engaging in digital bank services. The number of branches has a positive correlation with the banks’ profits, although there is a disparity between large network banks and the rest. The research suggests some implications that can help optimize the branch network in the context of digitalization in an emerging market. © Thuy Thu Pham, Hien Thi Thu Hoang, Ha Thi Thu Do, 2022.
ABSTRACT
Foreign direct investment (FDI) and export are now often regarded as two of the most important drivers of economic growth on a worldwide scale. The impact of foreign direct investment on Vietnam's exports is investigated in this study. The data for the time period 1985-2020 was obtained from the World Bank and the Vietnam General Statistics Office. The years 1985 to 2020 were chosen to evaluate the evolution of macroeconomic parameters since 1986. The impact of the Covid-19 epidemic on renovation reform. The Johansen co-integration test proved that FDI and domestic investment (DI) had a long-term positive impact on Vietnam's export growth. The Granger causality test revealed that there is a one-way relationship between FDI and export in the near term, but no such relationship exists between DI and export. The result of the variance decomposition study demonstrates that the FDI sector has a bigger impact on Vietnam's export growth than the DI sector. Furthermore, export activities are vulnerable to FDI sector shocks. As a result, in recent years, FDI has been regarded as the most important factor of export growth in Vietnam.