Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
Bibliographic Data
| ID | 21698254 |
|---|---|
| Authors | Zihan Wei (0000-0001-9234-3497, Beihang University), Mingli Zhang (0000-0003-4989-5936, Beihang University), Yaxin Ming (0000-0003-1420-0057, Beihang University, corresponding author) |
| Year | 2023 |
| Volume | 26 |
| Issue | 1 |
| Pages | 105-121 |
| Publication date | 2023-01-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2022.2030682 |
| OpenAlex | W4210698169 |
| Language | EN |
| Citations received | 7 |
| References cited | 55 |
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 influence on individualism American tourists’ satisfaction, while negative attribute-level experiences affect collectivism Chinese tourists’ satisfaction. In addition, we find that attribute type moderates the effect of perceived attribute experiences on overall satisfaction. Specifically, American tourists are more influenced by positive experiences with vertical attributes, while Chinese tourists are more affected by negative experiences with horizontal attributes. This research contributes to hospitality literature by enhancing the understanding of the cross-cultural factors in influencing tourist satisfaction. These findings also shed light on practices regarding improving tourist satisfaction
Business · Collectivism · Cross-cultural · Geography · Hospitality · Hospitality management studies · Individualism · Political science · Sociology · Tourism · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Psychology · Social Psychology · Marketing
Tourist satisfaction with online car-hailing
The role of inferred motive in shaping tourists’ reactions to intentional failures
Decoding customer satisfaction in Michelin Green Star restaurants
Exploring the knowledge structure and potential research areas of sustainable tourism in sustainable development
Tell me about your culture, to predict your tourism activity preferences and evaluations
Exploring the role of cultural values, trust and empathy on satisfaction
Creative cultural experience and destination loyalty
Tourist loyalty in creative tourism
The Hofstede model
Long Short-Term Memory
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Negative hotel reviews on TripAdvisor
Big data for big insights
Using deep learning and visual analytics to explore hotel reviews and responses
The impact of online reviews on hotel booking intentions and perception of trust
Wisdom of crowds
Motivation and satisfaction of Chinese and U.S. tourists in restaurants
Is culture of origin associated with more expressions? An analysis of Yelp reviews on Japanese restaurants
Discovering implicit activity preferences in travel itineraries by topic modeling
Relationships between Hofstede's cultural dimensions and tourist satisfaction
What do hotel customers complain about? Text analysis using structural topic model
Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry
Cross-country analysis of perception and emphasis of hotel attributes
Fertility Differences between the Majority and Minority Nationality Groups in China
| Citations per year | 2.33 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |