Vu Minh Ngo
Biographic Data
| ID | 5935384 |
|---|---|
| NAME | Vu Minh Ngo |
| GIVEN NAMES | Vu Minh |
| FAMILY NAME | Ngo |
| SIGNATURE | NGO V M |
| AFFILIATIONS | University of Economics Ho Chi Minh City |
| ORCID | 0000-0002-0997-4720 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Humanizing AI for trust
Balancing AI transparency
This study examines the non-linear relationship between transparency and AI use intention, challenging the assumption that increased transparency always enhances AI adoption. A web-based experiment with 491 participants across two interactions with AI systems, fake news detection (cognitive) and friending recommendations (social), are conducted to manipulate transparency (real, placebic, or absent) for this objective. Using quadratic regression a…
Are sanctions costly for the energy industry of sanctioning states? A difference‐in‐differences approach to sanctions during the Russia–Ukraine war
This study investigates the economic effects of states' implementing sanctions against Russia during the early stages of the Russia–Ukraine conflict in 2022. It specifically examines the effect of these sanctions on the stock returns of energy firms in a sample of 57 countries between August 2021 and October 2022, employing Difference‐in‐Differences imputation estimators to analyse heterogeneous event studies. The results show that sanctions init…
Does ChatGPT change artificial intelligence-enabled marketing capability? Social media investigation of public sentiment and usage
The recent advent of ChatGPT has stirred substantial attention and debates, potentially altering the dynamics across various industries, notably marketing. This pioneering study delves into the public reactions and applications of ChatGPT within marketing realms. Leveraging a text-mining methodology, a corpus of over 600,000 tweets harvested before and after ChatGPT’s launch from January 2021 to April 2023 was scrutinized to gauge public sentimen…
Energy security and the shift to renewable resources
Public sentiment towards economic sanctions in the Russia–Ukraine war
This paper introduces novel data on public sentiment towards economic sanctions based on nearly 1 million social media posts in 108 countries during the Russia–Ukraine war by using machine learning. We show the geographical heterogeneity between government stances and public sentiment. Finally, we show how political regimes, trading relationships and political instability can predict how people perceive this war
Moderating and mediating effects of switching costs on the relationship between service value, customer satisfaction and customer loyalty
Switching cost highlights the way how companies create barriers to proactively prevent customer defection which directly and significantly affects customer loyalty and then companies' performance. The purpose of this paper is to provide empirical evidences about the impact of switching cost on customer loyalty by examining its mediating and moderating effects on the relationships between service value, customer satisfaction and customer loyalty. …
Public sentiment towards economic sanctions in the Russia–Ukraine war
This paper introduces novel data on public sentiment towards economic sanctions based on nearly 1 million social media posts in 108 countries during the Russia–Ukraine war by using machine learning. We show the geographical heterogeneity between government stances and public sentiment. Finally, we show how political regimes, trading relationships and political instability can predict how people perceive this war
Moderating and mediating effects of switching costs on the relationship between service value, customer satisfaction and customer loyalty
Switching cost highlights the way how companies create barriers to proactively prevent customer defection which directly and significantly affects customer loyalty and then companies' performance. The purpose of this paper is to provide empirical evidences about the impact of switching cost on customer loyalty by examining its mediating and moderating effects on the relationships between service value, customer satisfaction and customer loyalty. …
Moderating and mediating effects of switching costs on the relationship between service value, customer satisfaction and customer loyalty
Switching cost highlights the way how companies create barriers to proactively prevent customer defection which directly and significantly affects customer loyalty and then companies' performance. The purpose of this paper is to provide empirical evidences about the impact of switching cost on customer loyalty by examining its mediating and moderating effects on the relationships between service value, customer satisfaction and customer loyalty. …
Public sentiment towards economic sanctions in the Russia–Ukraine war
This paper introduces novel data on public sentiment towards economic sanctions based on nearly 1 million social media posts in 108 countries during the Russia–Ukraine war by using machine learning. We show the geographical heterogeneity between government stances and public sentiment. Finally, we show how political regimes, trading relationships and political instability can predict how people perceive this war
Are sanctions costly for the energy industry of sanctioning states? A difference‐in‐differences approach to sanctions during the Russia–Ukraine war
This study investigates the economic effects of states' implementing sanctions against Russia during the early stages of the Russia–Ukraine conflict in 2022. It specifically examines the effect of these sanctions on the stock returns of energy firms in a sample of 57 countries between August 2021 and October 2022, employing Difference‐in‐Differences imputation estimators to analyse heterogeneous event studies. The results show that sanctions init…
Does ChatGPT change artificial intelligence-enabled marketing capability? Social media investigation of public sentiment and usage
The recent advent of ChatGPT has stirred substantial attention and debates, potentially altering the dynamics across various industries, notably marketing. This pioneering study delves into the public reactions and applications of ChatGPT within marketing realms. Leveraging a text-mining methodology, a corpus of over 600,000 tweets harvested before and after ChatGPT’s launch from January 2021 to April 2023 was scrutinized to gauge public sentimen…
Energy security and the shift to renewable resources
Balancing AI transparency
This study examines the non-linear relationship between transparency and AI use intention, challenging the assumption that increased transparency always enhances AI adoption. A web-based experiment with 491 participants across two interactions with AI systems, fake news detection (cognitive) and friending recommendations (social), are conducted to manipulate transparency (real, placebic, or absent) for this objective. Using quadratic regression a…
Humanizing AI for trust
Business (6 works) · Computer Science (4 works) · Economics (4 works) · Political science (4 works) · Economic Sanctions and International Relations (3 works) · Ethics and Social Impacts of AI (3 works) · Law (3 works) · AI in Service Interactions (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Economic sanctions (2 works)