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Article
Publication date: 8 December 2022

Zhangxiang Zhu, Yaxin Zhao and Jing Wang

This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal…

Abstract

Purpose

This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal distance, social distance and experiential distance.

Design/methodology/approach

Based on construal-level theory (CLT), this study divides online travel reviews into concrete and abstract reviews. Three experiments were conducted to test the moderating effects of temporal distance, social distance and experiential distance on the influence of review content characteristics on tourists' travel intentions.

Findings

The results show that abstract reviews would lead to higher travel intentions than concrete reviews. Furthermore, tourists' travel intentions differed depending on social distance and were significantly affected by reviews posted by reviewers similar to review recipients. In addition, the study contributes by discovering that the moderating effects of temporal distance, social distance and experiential distance were not significant, which differs from most of the previous research conclusions.

Originality/value

This study focused on review content characteristics, which provided a novel perspective for constructing online travel reviews. Furthermore, this research defined the concept of experiential distance in the context of online travel and expanded the research on psychological distance.

Details

Aslib Journal of Information Management, vol. 76 no. 1
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 9 October 2019

Rodoula H. Tsiotsou

Cross-cultural research constitutes a pivotal topic for marketing; however, the literature indicates that there are a few studies analyzing social media reviews from a…

1367

Abstract

Purpose

Cross-cultural research constitutes a pivotal topic for marketing; however, the literature indicates that there are a few studies analyzing social media reviews from a cross-cultural perspective using cultural proximity (supra-national level) as a proxy of culture. Therefore, the purpose of this study is to identify cross-cultural differences in service evaluations and specifically, in hotel appraisals among tourists from Central, Eastern (including Post-Soviet States), Northern and Southern Europe.

Design/methodology/approach

A quantitative approach has been taken by studying online user-generated ratings of hotels on Trip Advisor. In total, 1,055 reviews of five hotels in Greece were used for the study.

Findings

Multivariate analysis of variance and analysis of variances results confirm cultural differences in overall service evaluations and attributes (value, location, sleeping quality, rooms, cleanliness and service) of tourists from various European regions. Specifically, Eastern Europeans uploaded more reviews than any other European group, whereas Northern Europeans were more generous in their appraisals than Eastern, Southern and Central Europeans.

Practical implications

The results of the study could be used for segmentation purposes of the European tourism market and for recognizing, which aspects of their services need to be improved based on the segments they serve. Moreover, managers should encourage Northern and Eastern Europeans to upload their reviews as both groups are more generous in their evaluations. Moreover, the findings are useful to marketers of other services.

Originality/value

To the author’s knowledge, this is the first study that examines cross-cultural differences in hotel appraisals from a supra-national perspective including developed (Northern and Western Europe), developing (Southern Europe) and emerging tourism markets (Eastern Europe).

Details

Journal of Services Marketing, vol. 33 no. 7
Type: Research Article
ISSN: 0887-6045

Keywords

Article
Publication date: 26 March 2024

Doris Chenguang Wu, Chenyu Cao, Ji Wu and Mingming Hu

Wine tourism is gaining increasing popularity among Chinese tourists, making it necessary to thoroughly examine tourist behavior. While online reviews posted by wine tourists have…

Abstract

Purpose

Wine tourism is gaining increasing popularity among Chinese tourists, making it necessary to thoroughly examine tourist behavior. While online reviews posted by wine tourists have been extensively studied from the perspectives of destinations and wineries, the perspective of the tourists themselves has been overlooked. To address this gap, this study aims to identify significant attributes intrinsic to the tourism experiences of Chinese wine tourists by adopting a text-mining approach from a tourist-centric perspective.

Design/methodology/approach

The authors use topic modeling to extract these attributes, calculate topic intensity to understand tourists’ attention distribution across these attributes and conduct topical sentiment analysis to evaluate tourists’ satisfaction levels with each attribute. The authors perform importance-performance analyses (IPAs) using topic intensity and sentiment scores. Furthermore, the authors conduct semistructured in-depth interviews with Chinese wine tourists to gain insights into the underlying reasons behind the key findings.

Findings

The study identifies eleven attributes for domestic wine tourists and seven attributes for outbound wine tourists. From the reviews of both domestic and outbound tourists, three common attributes have been identified: “scenic view”, “wine tasting and purchase” and “wine knowledge”.

Practical implications

According to the results of the IPAs, there is a pressing need for enhancements in the wine tasting and purchasing experience at domestic wine attractions. Additionally, managers of domestic wine attractions should continue to prioritize the positive aspects of the family trip experience and scenic views. On the other hand, for outbound wine attractions, it is crucial for managers to maintain their efforts in providing opportunities for wine knowledge acquisition, ensuring scenic views and upholding the reputation of wine regions.

Originality/value

First, this study breaks new ground by adopting a tourist-centric perspective to extract significant attributes from real wine tourism reviews. Second, the authors conduct a comparative analysis between Chinese wine tourists who travel domestically and those who travel abroad. The third novel aspect of this study is the application of IPA based on textual review data in the context of wine tourism. Fourth, by integrating topic modeling with qualitative interviews, the authors use a mixed-method approach to gain deeper insights into the experiences of Chinese wine tourists.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 31 October 2023

Anubha Anubha, Daviender Narang and Mukesh Kumar Jain

This study aims to examine the impact of online travel reviews (OTR) on tourists’ intention to travel based on the stimulus–organism–response (SOR) model. Further, it explored the…

Abstract

Purpose

This study aims to examine the impact of online travel reviews (OTR) on tourists’ intention to travel based on the stimulus–organism–response (SOR) model. Further, it explored the mediating effects of tourist trust in OTR.

Design/methodology/approach

In this direction, this study proposes and empirically validates a conceptual model after collecting data from 299 Indian consumers. Proposed hypotheses were tested by applying the structural equation modelling technique. Bootstrapping method was used for mediation testing.

Findings

The findings revealed that various attributes of OTR exert differential impacts on travel intention. The study also confirmed the mediating role of tourist trust in OTR.

Practical implications

This study offers significant practical implications for travel marketers. To capitalize on OTR, travel marketers are recommended to develop an effective and efficient online reviews management system. This will improve the quality, valence, quantity and consistency of OTR, which in turn will enhance tourist trust in OTR, leading to improved travel intention.

Originality/value

No empirical evidence has been traced on how OTR enhances tourist trust in OTR and their travel intention. In support of this, the present study proposes and empirically validates an extensive model to comprehend the role of various drivers of OTR in improving tourist trust in OTR, leading to enhanced travel intention based on the SOR model.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 12 June 2017

Maria I. Simeon, Piera Buonincontri, Fernando Cinquegrani and Assunta Martone

This paper aims to analyse online reviews to explore the experiences of tourists related to cultural attractions. Furthermore, the study identifies similarities and differences…

1286

Abstract

Purpose

This paper aims to analyse online reviews to explore the experiences of tourists related to cultural attractions. Furthermore, the study identifies similarities and differences between cultural attractions and identifies tourists’ preferences.

Design/methodology/approach

Content analysis and principal component analysis are applied to 12.592 online reviews, in Italian, posted on TripAdvisor by tourists who visited 58 cultural attractions of Naples (Italy) between 2011 and 2014.

Findings

Findings reveal five critical components of tourists’ experience related to cultural attractions: wonder, authenticity, relaxation, discovery and knowledge. Findings show that tourists can interpret cultural attractions in different ways.

Research limitations/implications

This study makes advancements on the relationships between tourists’ experience and cultural attractions. Research limitations are related to the geographical context and to the database, which presents a strong standardisation of evaluations, almost never negative. Furthermore, the analysis is limited to online reviews written in Italian language. Future studies will be dedicated to explore reviews in other languages and on other cultural destinations.

Practical implications

The study draws managerial implications at local and general level. Locally, findings provide suggestions and practical implications to support the tourism policies and marketing of Naples. At general level, the paper provides implications for destination manager organisations and policy makers to strengthen the attractiveness of cultural attractions, develop destination marketing strategies and offer more satisfying cultural experiences.

Originality/value

This is one of the first studies that uses online reviews to explore the experiences of tourists who visit cultural attractions.

Details

Journal of Hospitality and Tourism Technology, vol. 8 no. 2
Type: Research Article
ISSN: 1757-9880

Keywords

Article
Publication date: 18 October 2021

Chayanon Phucharoen, Tatiyaporn Jarumaneerat and Nichapat Sangkaew

Based on big data analytical and statistical techniques, this study aims to examine tourists’ shopping experiences at department stores and street markets in Phuket.

Abstract

Purpose

Based on big data analytical and statistical techniques, this study aims to examine tourists’ shopping experiences at department stores and street markets in Phuket.

Design/methodology/approach

A Naïve Bayes machine learning algorithm was used to identify the most frequently used terms in TripAdvisor reviews of both department stores and street markets contributed by the same pool of 729 tourists.

Findings

A total of 18 out of 62 terms used were common in reviews of both shopping settings. However, the study found significant differences in the mean use of the 18 common terms and the likelihood of those terms being used in overall positive reviews.

Practical implications

The study’s findings indicate differences in tourist shopping experiences at department stores and street markets. Several concrete recommendations are made, including a greater focus on the linkage to the national characteristic of street markets, and particularly the quality of local fruit, to enhance the tourist shopping experience.

Originality/value

Understanding the differences between shopping malls and street markets from the tourist’s perspective would further enhance the coexistence of shopping malls and street markets in tourism-led growth cities. As such, using reviews of both shopping malls and street markets from an identical pool of tourists, the present study will analyse and compare tourists’ actual shopping experiences, thereby addressing this gap in the research canon via integrated statistical and big data analysis techniques.

Details

International Journal of Culture, Tourism and Hospitality Research, vol. 16 no. 1
Type: Research Article
ISSN: 1750-6182

Keywords

Article
Publication date: 7 January 2021

Alekh Gour, Shikha Aggarwal and Mehmet Erdem

The dynamic yet volatile nature of tourism and travel industry in a competitive environment calls for enhanced marketing intelligence and analytics, especially for those entities…

1499

Abstract

Purpose

The dynamic yet volatile nature of tourism and travel industry in a competitive environment calls for enhanced marketing intelligence and analytics, especially for those entities with limited marketing budgets. The past decade has witnessed an increased use of user-generated content (UGC) analysis as a marketing tool to make better informed decisions. Likewise, textual data analysis of UGC has gained much attention among tourism and hospitality scholars. Nonetheless, most of the scholarly works have focused on the singular application of an existing method or technique rather than using a multi-method approach. The purpose of this study is to propose a novel Web analytics methodology to examine online reviews posted by tourists in real time and assist decision-makers tasked with marketing strategy and intelligence.

Design/methodology/approach

For illustration, the case of tourism campaign in India was undertaken. A total of 305,298 reviews were collected, and after filtering, 276,154 reviews were qualified for analysis using a string of models. Descriptive charts, sentiment analysis, clustering, topic modeling and machine learning algorithms for real-time classification were applied.

Findings

Using big data from TripAdvisor, a total of 145 tourist destinations were clustered based on tourists’ perceptions. Further exploration of each cluster through topic modeling was conducted, which revealed interesting insights into satisfiers and dissatisfiers of different clusters of destinations. The results supported the use of the proposed multi-method Web-analytics approach.

Practical implications

The proposed machine learning model demonstrated that it could provide real-time information on the sentiments in each incoming review about a destination. This information might be useful for taking timely action for improvisation or controlling a service situation.

Originality/value

In terms of Web-analytics and UGC, a comprehensive analytical model to perform an end-to-end understanding of tourist behavior patterns and offer the potential for real-time interpretation is rarely proposed. The current study not only proposes such a model but also offers empirical evidence for a successful application. It contributes to the literature by providing scholars interested in textual analytics a step-by-step guide to implement a multi-method approach.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 25 November 2019

Luis Henrique Souza, Elisabeth Kastenholz, Maria de Lourdes Azevedo Barbosa and Mariana Sousa e Silva Cabral Carvalho

The emergence of peer-to-peer accommodation (P2PA) introduces new values and meanings to the hospitality experience. Focusing on the diverse dimensions of the tourist experience…

1581

Abstract

Purpose

The emergence of peer-to-peer accommodation (P2PA) introduces new values and meanings to the hospitality experience. Focusing on the diverse dimensions of the tourist experience, the purpose of this paper is to identify and assess the relative importance of the main dimensions of guests’ P2PA experience and its relationships with perception of authenticity, place attachment and loyalty to both the visited destination and the P2PA.

Design/methodology/approach

A qualitative netnographic approach with content analysis permitted the analysis of 250 reviews taken from the Airbnb platform, specifically focusing on P2PAs where guests stay with hosts in the same space.

Findings

The results of the study suggest that guests’ P2PA experiences are particularly influenced by the experience dimensions “aesthetic/sense”, “relate/social interaction”, “escape”, “act” and “feel”. P2PA experiences also result in loyalty intentions, to both the visited destination and the particular P2PA. The dimensions “aesthetic/sense”, “relate/social interaction” and “escape” stand out as most influential in determining perceived authenticity. In turn, place attachment is most influenced by the dimensions “feel” and “relate/social interaction”.

Research limitations/implications

Limitations of this research need to be acknowledged: the P2PA guest experience is explored from the restricted perspective of online reviews using passive netnography. Therefore, some criteria of data collection, for instance, gathering only reviews written in English and with more than 80 words, may be limitative in a more comprehensive assessment of the P2PA experience. Another point is, although P2PA platforms such as Airbnb encourage their guests to review the experience, some people are not inclined to do so; therefore, the published reviews may not reflect all possible experiences at these accommodations inclined to do so; therefore, the published reviews may not reflect all possible experiences at these accommodations.

Originality/value

This study suggests a comprehensive analytical framework for assessing the “holistic multidimensional tourist experience”, integrating Pine and Gilmore’s (1999) and Schmitt’s (1999) approaches, thus deepening the conceptual and methodological debate on the tourist experience. It further contributes to a better understanding of the dimensionality of the tourist experience in the context of shared accommodation. The dimensions under analysis and their association with perceived authenticity, loyalty and place attachment are both of theoretical and practical interest, suggesting approaches to improve the P2PA experience as well as the image and success of the destinations where these units are located.

Details

International Journal of Tourism Cities, vol. 6 no. 1
Type: Research Article
ISSN: 2056-5607

Keywords

Article
Publication date: 29 April 2020

Matthew Tingchi Liu, Yongdan Liu, Ziying Mo and Kai Lam Ng

Travel websites allow tourists to share their thoughts, beliefs and experiences regarding various travel destinations. In this paper, the researchers demonstrated an approach for…

1572

Abstract

Purpose

Travel websites allow tourists to share their thoughts, beliefs and experiences regarding various travel destinations. In this paper, the researchers demonstrated an approach for destination marketing organisations to explore online tourist-generated content and understand tourists' perceptions of the destination image (DI). Specifically, the researchers initiated an investigation examining how the destination image of Macau changed during the period of 2014–2018 based on user-generated content on travel websites.

Design/methodology/approach

Web crawlers developed by Python were employed to collect tourists' reviews from both Ctrip and TripAdvisor regarding the theme of “Macau attraction”. A total of 51,191 reviews (41,352 from Ctrip and 9,839 from TripAdvisor) were collected and analysed using the text-mining technique.

Findings

The results reveal that the frequency of casino-related words decreased in reviews by both international and mainland Chinese tourists. Additionally, international and mainland Chinese tourists perceive the DI of Macau differently. Mainland Chinese tourists are more sensitive to new attractions, while international tourists are not. The study also shows that there are differences between the government-projected DI and the tourist-perceived DI. Only the “City of Culture” and “A World Centre of Tourism and Leisure” have built recognition with tourists.

Originality/value

Given the easy accessibility of online information from various sources, it is important for destination marketing organisations to analyse and monitor different DI perspectives and adjust their branding strategies for greater effectiveness. This study uncovered the online DI of Macau by using text mining and content analysis of two of the largest travel websites. By analysing and comparing the differences and relationships among the frequently used words of tourist-generated content on these websites, the researchers revealed some interesting findings with important marketing implications.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 33 no. 2
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 5 December 2022

Yuan Cui, Seungwoon Kim and Shi Feng

This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.

Abstract

Purpose

This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.

Design/methodology/approach

A total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the similarity between words. Then, regression analysis was conducted to determine success factors.

Findings

This study extracted four positive and two negative factors affecting tourist satisfaction with tourism performance arts. The results demonstrate that the tourists paid the most attention to the traditional Chinese cultural aspects, audiovisual effects and the actors’ performing enthusiasm.

Research limitations/implications

Despite this study’s large data set, the focused was only on Chinese reviews. It would be useful and interesting to compare the success factors of tourism performance arts programs offered in different countries.

Practical implications

The study findings can contribute to the development of TPA programs to attract tourists to travel destinations.

Originality/value

This study demonstrates that analyzing online reviews of TPA through text mining technology is an effective method of understanding tourist satisfaction.

在线点评分析探析旅游演艺成功因素

研究目的

本研究旨在通过分析大型在线评论数据集来探索旅游表演艺术项目的成功因素。

研究设计/方法/途径

共收集和预处理来自携程网的 195,230 条评论。利用深度学习方法来估计单词之间的相似性。然后, 进行回归分析以确定成功因素。

研究结果

本研究提取了影响游客对旅游表演艺术满意度的四个积极因素和两个消极因素。结果表明, 游客最关注中国传统文化方面、视听效果和演员的表演热情。

研究限制/影响

尽管我们的数据集很大, 但它只关注中文评论。比较不同国家提供的旅游表演艺术项目的成功因素将是有用和有趣的未来研究方向。

研究实践意义

研究结果有助于发展旅游表演艺术项目, 以吸引游客前往旅游目的地。

研究原创性/价值

研究表明, 通过文本挖掘技术分析旅游表演艺术的在线评论是了解游客满意度的有效方法。

1 – 10 of over 19000