Roles of emotional expressions in review consumption and generation processes

This research examines how the relationship between review ratings and perceived review helpfulness varies when emotional expressions reflected in the textual content of customer reviews are considered. Moreover, we investigate how mobile devices affect emotional expressions in reviews with the same review ratings. We recruited participants from Amazon MTurk and collected online customer review data from TripAdvisor.com. Our analyses reveal that negativity bias exists in emotional expressions and applies to both the review generation and consumption processes. For positively rated reviews, negative emotional expressions are used more often and are perceived to be more helpful. For negatively rated reviews, positive emotional expressions are less used and perceived as less helpful. Our results also show that the reviews posted via mobile devices tend to be more emotional, for reviews with the same ratings. By showing the direct and indirect impacts of mobile devices, this research provides valuable theoretical and managerial information.     

饮食旅游动机对游客满意度和行为意向的影响研究

饮食旅游是近年来发展最快的旅游类型之一,但有关游客动机和行为的研究却很少.文章构建结构方程模型,剖析饮食旅游的推动和拉动动机要素,明确旅游动机对游客满意度和行为意向的作用机制.在澳门进行问卷调查获得368个有效样本后,检验假设模型,发现饮食旅游的推动动机为休闲放松、饮食猎奇和文化探索,拉动动机包括饮食产品和配套服务;休闲放松、文化探索和饮食产品对满意度有正向影响,饮食猎奇要素对行为意向有正向影响.文章从供求两方面明确了饮食旅游的参与原因及其后续效应,为发展饮食旅游、提升游客满意度和忠诚度提供了指导.     

Determinants of Customer Satisfaction in the Hotel Industry: An Application of Online Review Analysis

This study illustrates that determinants of customer satisfaction in hospitality venues can be identified through an analysis of online reviews. Using text mining and content analysis of 42,668 online traveler reviews covering 774 star-rated hotels, the study found that transportation convenience, food and beverage management, convenience to tourist destinations and value for money are identified as excellent factors that customers booking both luxury and budget hotels consider important and for which the performance is much satisfactory to them. Customers paid more attention to, but were less satisfied with, bed, reception services and room size and decoration. Most determinants of customer satisfaction also showed a consensus over luxury versus budget hotels, except for factors referring to lobby and sound insulation. As per its findings, the article concludes by presenting theoretical and managerial implications.     

The role of language in the online evaluation of hospitality service encounters: An empirical study

In an increasingly global travel market, hospitality services encounters involve growing interactions between providers and customers often belonging to different nationalities and cultures and speaking different languages. Extant hospitality management literature has explored the influence of language on service evaluations mostly in offline settings. This study innovatively captures the effect of the language used in online hotel reviews on online consumer ratings in two distinctively different destinations located in culturally different countries: Italy and Russia. Based on almost half a million Booking.com online reviews written by hotel guests in Moscow and Rome, we illuminate if and to what extent domestic vs. foreign language use affects online customer satisfaction. We find that the use of domestic language exerts a positive impact on online ratings in both countries. Implications for hospitality practitioners and managers, developers and managers of online review platforms, and customers of hotel services are discussed.     

Stars,Votes, and Badges: How Online Badges Affect Hotel Reviewers

As online reviews, ratings, and helpful votes in e-commerce platforms become industry-centric, this study examines how virtual badges affect the online behavior of reviewers and readers based on status-seeking theory in an online environment. This study finds that online readers prefer reviews with low ratings to those with high ratings; however, reviewers with high-level badges tend to post moderate ratings and avoid extreme ratings. Casting doubt on the efficiency of current online incentive systems, user-generated content websites may establish a qualitative index to measure the quality of customer reviews from a long-term perspective to encourage reviewers to continue creating high-quality contents.     

Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis

This study aims to establish a relationship between customer sentiments in online reviews and customer ratings for hotels. Customer sentiment refers to the emotions expressed by customers through the text reviews. These sentiments can be positive, negative or neutral. The study explores customer sentiments and expresses them in terms of customer sentiment polarity. Our results find consistency between customer ratings and actual customer feelings across hotels belonging to the two categories of premium and budget. Customer sentiment polarity explains significant variation in customer ratings across both the hotel categories. With regard to managerial implications, the study finds that, when compared with premium hotels, managers of budget hotels should improve their staff performance and hotel services. The present study is not exhaustive and other factors like customer review length and review title sentiment can be analyzed for their effects on customer ratings.     

Sustainability Management of Hotels: How Do Customers Respond in Online Reviews?

The purpose of this study was to investigate how guests respond to the sustainability efforts of sustainably managed hotels by discussing them in reviews posted online. Thus, an exploratory research design and the content analysis method were chosen for this study. The content analysis technique was used to analyze User Generated Content and to explore what attributes of sustainability are perceived as the most important by hotel guests in online reviews and whether they generate positive or negative feelings. An analysis of the reviews showed that hotel guests perceive sustainability positively: most indicators were discussed in a positive context, and reviews that contained sustainability attributes had higher guest ratings than other reviews. Explicit references to sustainability were found in only 6.8% of all customer comments. The most frequently encountered indicators in guest reviews were biodiversity, education and sustainable products. Customers mainly discuss attributes that have direct impacts on their experience or are observable at the hotel. Customers are likely to realize that a hotel’s commitment to sustainability can excuse the hotel for a suffered inconvenience. This finding implies that hoteliers should educate guests on their sustainability measures, as higher awareness may increase customer satisfaction.     

Evaluating domestic bias on airline passengers’ ratings: The moderating effect of cultural value orientation

We explore differences in airline passengers’ online ratings toward domestic and foreign carriers. Using a dataset of more than 380,000 airline passenger reviews obtained from TripAdvisor, we show that on average passengers express higher satisfaction (as proxied by their overall rating) for airline service encounters with domestic carriers, exhibiting a form of domestic bias. Using Hofstede’s framework, we examine how cultural dimensions influence the strength of this bias and find support for the moderating impact (positive and negative) of passengers’ cultural dimensions on their provided ratings toward domestic airlines. The study has theoretical and practical implications for international marketing researchers and airline operational planners.     

What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics

Online customer reviews are increasingly used by travelers to inform their purchase decisions. However, the vast amount of reviews available nowadays may increase travellers’ effort in information processing. In order to facilitate traveller’s decisions, social commerce organizations must help travellers rapidly identify the most helpful reviews to reduce their cognitive effort. Academic literature has often documented that negative reviews are judged as helpful by consumers. However, extremely negative reviews are not always perceived as such. This study is the first that unveils what factors moderate the influence of extremely negative reviews on review helpfulness. The study has adopted a sample of 7455 online customer reviews of hotels to test hypotheses. Findings show that reviews with extremely negative ratings are more likely to be helpful when the review is long and easy to read and when the reviewer is an expert or discloses his identity (i.e. geographical origin).     

Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation

Consumer-generated content has provided an important new information medium for tourists, throughout the purchasing lifecycle, transforming the way that visitors evaluate, select and share experiences about tourism. Research in this area has largely focused on quantitative ratings provided on websites. However, advanced techniques for linguistic analysis provide the opportunity to extract meaning from the valuable comments provided by visitors. In this paper, we identify the key dimensions of customer service voiced by hotel visitors use a data mining approach, latent dirichlet analysis (LDA). The big data set includes 266,544 online reviews for 25,670 hotels located in 16 countries. LDA uncovers 19 controllable dimensions that are key for hotels to manage their interactions with visitors. We also find differences according to demographic segments. Perceptual mapping further identifies the most important dimensions according to the star-rating of hotels. We conclude with the implications of our study for future research and practice.     

Big data for big insights: Investigating language-specific drivers of hotel satisfaction with 412,784 user-generated reviews

This study leveraged the advantages of user-generated reviews with the aim of offering new insights into the determinants of hotel customer satisfaction by discriminating among customers by language group. From a collection of 412,784 user-generated reviews on TripAdvisor for 10,149 hotels from five Chinese cities, we found that foreign tourists, who speak diverse languages (English, German, French, Italian, Portuguese, Spanish, Japanese, and Russian), differ substantially in terms of their emphasis on the roles of various hotel attributes (“Rooms,” “Location,” “Cleanliness,” “Service,” and “Value”) in forming their overall satisfaction rating for hotels. Chinese tourists domestically exhibit distinct preferences for room-related hotel attributes when compared to foreign tourists. Major interaction effects are revealed between the attributes “Rooms” and “Service” and between “Value” and “Service”.     

The signaling and reputational effects of customer ratings on hotel revenues: Evidence from TripAdvisor

This study aims to examine whether customer ratings and online reviews affect hotel revenues, and if so, to quantify the effects. To achieve this objective, we articulate the mechanisms grounded on reputation theories whereby customer ratings exercise the influence on hotel performance through reputational and signaling effects. Using customer rating data from TripAdvisor and hotel revenue data from Texas, we estimate fixed effects regressions and adopt a regression discontinuity design to separate the signaling effect of customer ratings from reputational effect. We found that the signaling effect of a 1-star increase is an increase of 2.2–3.0% in hotel monthly revenues whereas the reputational effect of a 1-star increase is an increase of around 1.5–2.3% in hotel monthly revenues. Our findings are robust across alternative model specifications and provide insightful implications for hotels to manage their customer ratings.     

Insights into Suspicious Online Ratings: Direct Evidence from TripAdvisor

Online ratings and online reputation management are becoming increasingly popular and important. With this increasing importance, attempts to manipulate online reviews through fake reviews have become more prevalent. Suspicious online reviews (ratings) exist on many e-commerce platforms, but these reviews have rarely been observed and reported as manipulation in academic studies using different test methods. In our research, we examine empirical evidence of suspicious online ratings based on 41,572 ratings on TripAdvisor. Applying quantitative analytics, we find three important results: (1) the gap between overall rating and individual ratings does exist and is significant, especially among the lower class hotels; (2) the proportion of suspicious ratings is about 20% at a standard of 0.5; and (3) reviewers who tend to post excellent ratings are less likely to generate big gaps when posting ratings. We offer specific managerial implications for hotel managers on online reputation management and selected suggestions for future research based on the empirical findings.     

Consumer reviews and the creation of booking transaction value: Lessons from the hotel industry

In recent years, much has been said about online consumer-generated feedback. Concern typically emerges regarding consumer decision-making as well as the preservation of an organization's image. Additionally, a company's financial performance can be affected by customer online ratings. The present study explores the impact of a hotel's rating and number of reviews on the value generated through online transactions. Through collaboration with consulting company Travel Click, the research team gathered a sample of 178 hotels representing various companies and brands within the United States. Research results demonstrate that TripAdvisor ratings as well as the number of reviews had positive relationship with the average size of each online booking transaction. The paper concludes with theoretical and practical implications.     

Understanding the dynamics of the quality of airline service attributes: Satisfiers and dissatisfiers

This research aims to determine the relationship between the quality of airline service attributes and overall satisfaction. Although a number of relevant studies have reported a linear relationship (or symmetric effect) between the two concepts, this work suggests that attribute quality exerts heterogeneous effects on satisfaction or dissatisfaction. A total of 157,035 consumer data from online reviews have been analyzed to achieve the research objective. In accordance with Herzberg, Mausner, and Snyderman’s (1959) two-factor theory, the findings of this research have determined that the quality of certain service attributes, such as cleanliness, food and beverages, and in-flight entertainment, affects the variations of positive ratings as a satisfier. Other airline service attributes, such as customer service and check-in and boarding, influence the deviations of negative ratings as a dissatisfier. Apart from airline attributes, the individual features and types of airline products have been estimated to improve the understanding of such relationships. In this regard, this study provides important implications to customer-centric marketing in an airline marketplace.     

Unravelling the effects of cultural differences in the online appraisal of hospitality and tourism services

International travelling has increased the likelihood of service interactions between customers and providers of different nationalities, frequently speaking various language, and repeatedly experiencing issues with intercultural communication. By examining more than 700,000 online reviews written by hotel guests of 101 different nationalities, using 84 different languages in their reviews, this study unravels cultural differences and examines through a direct measurement approach the simultaneous influence of national and linguistic differences between service customers and providers on online review valence. After controlling for reviewers’ demographics, behavioral features, trip related factors and location of service provider, the study findings reveal that while the influence of national cultural distance on online ratings is country- and destination- dependent, the usage of a common language is positively associated with online review valence irrespective of the destination/country where the service provider is located. Theoretical and practical implications are discussed.     

Ethnic dining: Need to belong,need to be unique,and menu offering

Many ethnic restaurants “Americanize” their menus to cater to mainstream American customers’ palate; on the other hand, they offer a “secret” (more authentic) menu to their original, ethnic customers. Inspired by consumer online reviews reflecting “secret menus” in ethnic restaurants, this research examines the joint impact of offering an authentic menu and the presence of other customers on customer satisfaction. Results from this study show that mainstream American customers’ satisfaction decreases when an authentic menu is not offered. The moderated mediation analysis further demonstrates that authentic menu offering influences satisfaction through the activation of two distinct psychological motivations, depending on the ethnic composition of other customers. Specifically, being surrounded by Asian (Caucasian) customers activates the need to belong (need to be unique) when an authentic menu is not offered. Such heightened psychological needs consequently lead to declines in customer satisfaction. Theoretical and managerial implications are discussed.     

Tipping policy effects on customer satisfaction: An informative failure to replicate

Analysis of online reviews indicates that Royal Caribbean’s abandonment of tipping on March 1, 2013 had no reliable effect on its customers’ ratings of either the overall cruise experience or the cruise service/staff. This finding stands in opposition to previous studies which reported that customer satisfaction and service ratings fell after organizations abandoned voluntary tipping policies in contexts where tipping is normative. Since tipping is no longer common in the cruise industry, the failure to replicate suggests that earlier effects were probably caused by people’s subjective preference for the tipping policies they were used to in those contexts rather than by tipping’s actual effects on service delivery.     

Multilevel Analysis of the Relationship Between Type of Travel,Online Ratings,and Management Response: Empirical Evidence from International Upscale Hotels

The diverse characteristics of customers and hotels have been identified as relevant to online customer satisfaction at the individual level. In this study, a comprehensive examination is conducted, through the use of a multilevel, nested model and secondary data set. The results show that both online review experience and management response frequencies can positively affect customer satisfaction. Additionally, hotel managers need to pay more attention to customers who have less online review experience when they carry out targeted response strategies. The findings have various implications for both academic researchers and hotel operators.