Yaxin Ming
Biographic Data
| ID | 9638708 |
|---|---|
| NAME | Yaxin Ming |
| GIVEN NAMES | Yaxin |
| FAMILY NAME | Ming |
| SIGNATURE | MING Y |
| AFFILIATIONS | Beihang University |
| ORCID | 0000-0003-1420-0057 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The effect of anger on online review helpfulness
This paper investigates the effect of anger emotion embedded in online reviews on perceived helpfulness in the hotel industry. Utilising Las Vegas hotel reviews data collected from TripAdvisor.com as well as a laboratory experiment, we first show anger emotion extracted using Linguistic Inquiry and Word Count (LIWC) and a Large Language Model (LLM) positively influence hotel review helpfulness. We further find the positive effect is more pronounc…
Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
This study investigates how cultural traits play a role regarding the effect of attribute-level experiences on tourist satisfaction. Adopting Deep Learning algorithm, we proposed Attribute-Level Sentiment Analysis Model (ASAM) to extract tourists’ attribute-level experiences from online reviews. Then, based on nearly 50000 online reviews collect from TripAdvisor, we empirically find that positive attribute-level experiences exert the greater infl…
What contributes to online communities' prosperity? Understanding value co-creation in product-experience-shared communities (Pescs) from the view of resource integration
Purpose The purpose of this paper is to understand the factors influencing content generation and community initiative in PESCs. Taking advantage of an emerging PESC – Xiaohongshu APP, the study identifies three antecedent resources, including customer-owned knowledge, harmonious passion to shopping and perceived information usefulness, that affect content generating and further community initiative. Design/methodology/approach Based on the servi…
Political uncertainty in the tourism industry
In this paper, we investigate the political uncertainty in China’s tourism industry using China’s anti-corruption campaign as an exogenous shock. We find that when the Chinese government launched its anti-corruption campaign, firms in the tourism industry experienced a significant decline in firm value, and the effect was stronger for companies majoring in high-end tourism products. In addition, we found that tourism companies’ long-term financia…
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Political uncertainty in the tourism industry
In this paper, we investigate the political uncertainty in China’s tourism industry using China’s anti-corruption campaign as an exogenous shock. We find that when the Chinese government launched its anti-corruption campaign, firms in the tourism industry experienced a significant decline in firm value, and the effect was stronger for companies majoring in high-end tourism products. In addition, we found that tourism companies’ long-term financia…
What contributes to online communities' prosperity? Understanding value co-creation in product-experience-shared communities (Pescs) from the view of resource integration
Purpose The purpose of this paper is to understand the factors influencing content generation and community initiative in PESCs. Taking advantage of an emerging PESC – Xiaohongshu APP, the study identifies three antecedent resources, including customer-owned knowledge, harmonious passion to shopping and perceived information usefulness, that affect content generating and further community initiative. Design/methodology/approach Based on the servi…
Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
This study investigates how cultural traits play a role regarding the effect of attribute-level experiences on tourist satisfaction. Adopting Deep Learning algorithm, we proposed Attribute-Level Sentiment Analysis Model (ASAM) to extract tourists’ attribute-level experiences from online reviews. Then, based on nearly 50000 online reviews collect from TripAdvisor, we empirically find that positive attribute-level experiences exert the greater infl…
The effect of anger on online review helpfulness
This paper investigates the effect of anger emotion embedded in online reviews on perceived helpfulness in the hotel industry. Utilising Las Vegas hotel reviews data collected from TripAdvisor.com as well as a laboratory experiment, we first show anger emotion extracted using Linguistic Inquiry and Word Count (LIWC) and a Large Language Model (LLM) positively influence hotel review helpfulness. We further find the positive effect is more pronounc…
Business (4 works) · Digital Marketing and Social Media (3 works) · Political science (3 works) · Psychology (3 works) · Social Psychology (3 works) · Customer Service Quality and Loyalty (2 works) · Economics (2 works) · Marketing (2 works) · Sociology (2 works) · Tourism (2 works)