“Big picture” predicts destination attractiveness: The role of physical breadth and contextual breadth DOI

Jingyi Duan,

Xuefeng Liang,

Jiangqun Liao

et al.

Tourism Management, Journal Year: 2024, Volume and Issue: 108, P. 105114 - 105114

Published: Dec. 28, 2024

Language: Английский

Social media and tourism geographies: mapping future research agenda DOI Creative Commons
Mingming Cheng

Tourism Geographies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 23, 2024

The fast-changing social media landscape have seen a paradigm shift in how we interact with and research space, place environment tourism. Social presents both challenges opportunities for tourism geographies due to the vast amount of various data types. This provides concise state art critical review history by identifying current status quo gaps. Accordingly, I highlight several directions future including cross-modalities content, semantics sense place, technology artificial intelligence media, communication, theoretical engagement, ethics methodological considerations. calls develop innovative interdisciplinary, theoretical, approaches advance theories practices relation geographies.

Language: Английский

Citations

9

Understanding travel influencers’ video on instagram: A transfer learning approach DOI
Hyunsang Son, Young Eun Park

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105168 - 105168

Published: March 18, 2025

Language: Английский

Citations

1

Sarcasm detection in hotel reviews: a multimodal deep learning approach DOI
Yang Liu, Maomao Chi,

Qiong Sun

et al.

Journal of Hospitality and Tourism Technology, Journal Year: 2024, Volume and Issue: 15(4), P. 519 - 533

Published: May 23, 2024

Purpose This study aims to detect consumer sarcasm through inconsistencies in sentiment features between text and images of hotel reviews. Design/methodology/approach paper proposes a model for detection based on multimodal deep learning using reviews three brands collected from two travel platforms, which can identify emotional within modality across modalities. Text-image interaction information is explored graph neural networks (GNN) essential clues sentiment. Findings The research results show that the outperforms other baseline models, help understand service evaluation provide managers with decision-making opinions. Originality/value hoteliers ways: detecting quality formulating strategies. By selecting reference brands, better assess their level (optimal resource allocation ensues); therefore, not only beneficial seeking improve quality. method introduced present be replicated industries platforms optimize products services.

Language: Английский

Citations

7

How Do Tourism Stakeholders Co-Create Destination Images with Photos on Social Media? DOI
Yuchen Zhao, Elizabeth Agyeiwaah

Journal of Travel Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 30, 2024

Previous research overwhelmingly emphasizes discrepancies in constructing destination images from different stakeholders but ignores the potential attempt for convergence. From perspective of symbolic convergence theory, this study explores how tourism co-create with photos on social media by occupying roles. A blended approach combining content and thematic analysis is employed to analyze submitted text a branding project Macau. Results show that themes tourist-generated reflect contrasting Macau—a peaceful versus hedonistic destination. Nonetheless, these do not lead disjointed overall image bring unique pieces complete puzzle, which contributes favorable appeal. In co-creation process, management organization (DMO) selects according its strategic goals, while online viewers express their love support through posting comments.

Language: Английский

Citations

5

Tourism destination stereotypes and generative artificial intelligence (GenAI) generated images DOI Creative Commons
Jingjie Zhu, Lingxue Zhan,

Jie Tan

et al.

Current Issues in Tourism, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: July 23, 2024

Generative artificial intelligence (GenAI) has started transforming the tourism industry with wide research implications. While recognising its transformative power, literature failed to identify dark side of GenAI. Using advanced image analytics across 10 destinations, this investigates how GenAI-generated images reinforce destination stereotypes. Our findings reveal that GenAI tends generate highly homogenised images, which cannot fully capture diversity leading This study advances extant by providing critical insights into complex relationships between generative and tourism.

Language: Английский

Citations

4

The impact of Airbnb cover photo shot-scale presentation on consumer decisions DOI
Junji Jia, Shiyao Jiang, Yuchen Wang

et al.

Journal Of Vacation Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

The growing competition for Airbnb properties is making their visual appeal increasingly important. Drawing from the elaboration likelihood model theory, this study aims to investigate impact of cover photo shot-scale presentation on consumer decisions (i.e., click-through and booking intention). Four experiments were conducted focusing consumers’ intentions with different experimental stimuli. In particular, results Study 1 ( N = 239) demonstrated interaction effect regulatory focus, showing that promotion focus (vs prevention focus) increases panoramic close-range) photo. 2 176) replicated findings by manipulating as a state. 3 201) revealed mediation role depth information processing between intentions. 4 260) further robustness check confirm reliability findings. This research bridges photography hospitality marketing literature, enriches theories persuasion marketing, offers hosts platform suggestions how use facilitate decisions.

Language: Английский

Citations

0

Beyond Visual Appeal: The Impact of Multisensory Experience of Hotel Marketing and Review Images on Sales DOI
Hongli Sun,

Haozhe Xu,

Shaolong Sun

et al.

Journal of Travel Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Images, with their direct content experience, have become essential in tourists’ narratives of accommodation sharing. Although visual plays an important role influencing user decisions, research on hotel images often neglects the significance sensory elements. Sensory elements help shape perceptions and evaluations experiences. This study explores how marketing review affect sales from a perspective. The employs combination hybrid machine vision econometric methods to examine visual, tactile, auditory, smell influence sales. These results reveal relationship among images, discrepancies, primary theoretical this is analyzing image sales, providing unique perspective for tourist decision-making strategies.

Language: Английский

Citations

0

Impact of guest-generated photos: Evidence from Airbnb DOI

Chenze Wang,

Xiaoxiao Liu,

Zhenxin Xiao

et al.

Annals of Tourism Research, Journal Year: 2025, Volume and Issue: 112, P. 103923 - 103923

Published: March 11, 2025

Language: Английский

Citations

0

Computer vision in branding: A conceptual framework and future research agenda DOI
Yun Li, H. Lee, Lorena Blasco‐Arcas

et al.

Journal of Business Research, Journal Year: 2025, Volume and Issue: 193, P. 115329 - 115329

Published: March 26, 2025

Language: Английский

Citations

0

Big Data and Business Intelligence in Tourism: Analyzing Trends and Enhancing Customer Satisfaction Through Online Review Analytics DOI
Leonidas Theodorakopoulos,

Alexandra Theodoropoulou,

Constantinos Halkiopoulos

et al.

Springer proceedings in business and economics, Journal Year: 2025, Volume and Issue: unknown, P. 507 - 536

Published: Jan. 1, 2025

Language: Английский

Citations

0