The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model

This study aims to investigate the hotel selection differences among different types of travellers through online hotel reviews. Specifically, the study performs a detailed examination of the differences in hotel key factors, criterion importance and selection results among five types of travellers, namely, business, couples, families, friends and solo. Using a sample of 194,885 online reviews on TripAdvisor.com, this study identifies the hotel key factors and criterion importance by employing the term frequency-inverse document frequency algorithm and Word2Vec algorithm. Additionally, a bounded rationality behavioural decision support model with picture fuzzy information is proposed to address hotel selection problems for different traveller types. Our results suggest that different types of travellers present differences in hotel key factors, criterion importance and selection results. However, families and friends have similar hotel selection results. This study can serve as a reference for hotel managers in understanding traveller preferences and for tourism website optimisation.     

Exploring the impact of personalized management responses on tourists’ satisfaction: A topic matching perspective

As an online reputation management tool, hotel managers increasingly rely on management responses to online reviews to improve the electronic word of mouth (eWOM). Due to the substantial heterogeneity of textual reviews with different topics, it is particularly challenging to personalize the response for customer relationship management. Based on a panel data of 500 hotels in the state of Texas collected from TripAdvisor, this study examines the influence of personalized management responses on rating increase from a topic matching perspective. The empirical results show that (1) a high level of topic matching of management response leads to an increase of hotel online rating; (2) a high valence and a large variation of existing rating weaken the positive influence of such personalized management response; (3) the influence is stronger for economy hotels compared to luxury ones. Lastly, practical implications are provided.     

Let's hook up fast! Hotel reviews and Wi-Fi flaws

Free Wi-Fi connection is a prevalent service in the modern hotel industry. The effects of Wi-Fi services on customers' satisfaction have been investigated in existing literature. However, the attributes that lead to customers' negative reviews on hotels and the effects of these attributes on hotel ratings remain unexplored. Therefore, this article attempts to fill this gap by using a sample of 4800 reviews and estimating a Heckit model. This methodology allows us to model customers' decisions to write a negative review and rate a hotel simultaneously. The effects of Wi-Fi flaws on hotels' overall ratings are estimated and discussed. Moreover, important managerial implications are consequently derived. Reference dependence and sample selection bias also remain critical when analyzing hotel ratings.     

The impact of online user reviews on hotel room sales

Despite hospitality and tourism researchers’ recent attempts on examining different aspects of online word-of-mouth [WOM], its impact on hotel sales remains largely unknown in the existing literature. To fill this void, we conduct a study to empirically investigate the impact of online consumer-generated reviews on hotel room sales. Utilizing data collected from the largest travel website in China, we develop a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings. Our results indicate a significant relationship between online consumer reviews and business performance of hotels.     

Joint effects of management responses and online reviews on hotel financial performance: A data-analytics approach

Hotels are increasingly shifting their online review strategy from passive listening to proactive engagement through management responses. This study investigates the joint effects of management responses and online reviews on hotel financial performance. Based on a large unique dataset of 22,483 management responses to 76,649 online consumer reviews on TripAdvisor over 26 quarters, matched with quarterly hotel financial performance, this study finds that providing timely and lengthy responses enhances future financial performance, whereas providing responses by hotel executives and responses that simply repeat topics in the online review lowers future financial performance. Moreover, review rating and review volume moderate the effects of management responses. When the average review ratings increase, more management responses of greater length should be provided. As review volume grows, the benefits of providing timely and lengthy responses diminish. The study findings generate new implications for managing responses to online reviews to increase hotel financial performance.     

Investigating cross-national heterogeneity in the adoption of online hotel reviews

Increasing reliance of potential guests on online hotel reviews has given rise to trepidation among some hospitality managers recently, thus necessitating a better understanding of its adoption. Literature on multicultural studies have suggested that behavioral models do not universally hold across cultures. In view of the limited generalizability and applicability of extant cross-cultural studies to this context, this study generates cross-national insights into the antecedents of travelers’ intention to use online hotel reviews to better understand the use of consumer-generated reviews across cultures. Generally, the predictive power of the model derived from the Motivation Theory and TAM holds true for both the United States and Singapore. Nonetheless, tests for structural invariance reveals some noteworthy differences between the two countries. The results highlight the complex cognitive mechanisms determining the acceptance of online hotel reviews in each country as moderated by national culture orientations. Findings hold implications for practitioners and researchers as they navigate through social media in different cultural contexts.     

A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism

Online consumer reviews have been studied for various research problems in hospitality and tourism. However, existing studies using review data tend to rely on a single data source and data quality is largely anecdotal. This greatly limits the generalizability and contribution of social media analytics research. Through text analytics this study comparatively examines three major online review platforms, namely TripAdvisor, Expedia, and Yelp, in terms of information quality related to online reviews about the entire hotel population in Manhattan, New York City. The findings show that there are huge discrepancies in the representation of the hotel industry on these platforms. Particularly, online reviews vary considerably in terms of their linguistic characteristics, semantic features, sentiment, rating, usefulness as well as the relationships between these features. This study offers a basis for understanding the methodological challenges and identifies several research directions for social media analytics in hospitality and tourism.     

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.     

The effectiveness of managing social media on hotel performance

This paper investigates how managing online reviews affects hotel performance. An international hotel chain provided the hotel performance data and the online review data. A leading social media firm for the hospitality industry collected the online review data, which the hotel company purchased. The results indicate that overall ratings are the most salient predictor of hotel performance, followed by response to negative comments. The better the overall ratings and the higher the response rate to negative comments, the higher the hotel performance. Therefore, online reviews in social media, specifically overall rating and response to negative comments, should be managed as a critical part of hotel marketing.     

Guest satisfaction & dissatisfaction in luxury hotels: An application of big data

In order to understand the pivotal attributes of luxury hotel service in Malaysia, this study analyses big data in the form of online reviews, as available in TripAdvisor. The content analysis, which was performed using the word frequency analysis has revealed that the main themes of luxury hotel service quality include hotel-related attributes, room-related attributes, staff-related attributes, travel-related attributes, and possible outcomes. The critical incident technique has also been performed to examine the antecedents and outcomes of hotel guests’ satisfaction and dissatisfaction. In this study, quality of rooms and interaction with employees have been determined as major drivers of customers’ word of mouth and revisit intentions. This study contributes with an empirical analysis of particular features of textual context and discussion of the concept of luxury service in the developing countries has been largely neglected so far.     

An online reviews-driven method for the prioritization of improvements in hotel services

Service improvement is of great importance for hotels to gain advantages. Several studies determined the prioritization of service improvement by identifying the relationship between service performance and customer satisfaction but ignored the impact of consumer expectations and managers' subjective opinions. This paper provides an online reviews-driven method for hoteliers to determine the prioritization of improvements in hotel services. Firstly, the improved penalty–reward contrast analysis that quantifies the sentiment tendencies and intensities in online reviews is used to identify types of service attributes. Secondly, based on the categorization of attribute types, three types of consumer expectations that affect consumer satisfaction are mined. Thirdly, the improved three-way decision model is used to determine the priority of allocation resources combining with managers’ subjective opinions. Finally, the proposed method is applied to the case study of Four Seasons Hotel service improvement, and the advantages of this method are illustrated by comparative analysis.     

Towards a Model of Electronic Word-of-Mouth and Its Impact on the Hotel Industry

ABSTRACT

Scholars and practitioners recognize that spreading word-of-mouth can play an important role in the formation of a hotel’s image. However, the relationships among various measures of online customer engagement are relatively unknown. The present study analyzes the relationships and quantifies the impacts of various measures of online engagement including the number of online reviews, overall rating, and relative ranking. The researchers used path analysis on a sample of 178 hotels to study the relationships among relevant variables and build a model to explain the impact of such measures (Figure 2). The results reveal there is a positive direct effect of the number of reviews on a hotel’s TripAdvisor rating. A negative direct effect was found between TripAdvisor rating and a hotel’s comparative ranking. Finally, the researchers discovered that TripAdvisor rating fully mediates the relationship between the number of reviews and a hotel’s comparative ranking. This article concludes with a discussion of both the theoretical and practical implications of such findings.     

The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior

The objective of this paper is to study the effects of online user-generated “expert reviews” on travelers' behavior. After controlling for a large set of independent variables, the results show that as the number of expert reviews for a hotel increases, future traveler ratings for the hotel increase. However, the marginal effect of a greater number of expert reviews decreases. Further, as the reviewing expertise level of a traveler increases, the traveler posts more negative ratings, but the marginal effect of the level of reviewing expertise decreases. Our results also indicate that reviewing expertise can reinforce the positive effect of expert hotel reviews on travelers' rating behavior. The robustness of our results is confirmed by a Bayesian ordered logit model. Finally, the implications of the results are discussed in terms of research and practice.     

Can Response Management Benefit Hotels? Evidence from Hong Kong Hotels

With the growing influence of online reviews, more hotels are adopting online response management, but whether this works and benefits a hotel has rarely been studied. In this research, we study the impact of response management on hotel online ratings using data retrieved from TripAdvisor with a focus on Hong Kong hotels. We find that (1) high class hotels are more likely to adopt response management; (2) there is no significant difference among different hotel classes in terms of response rate; and (3) targeted response management has a significant positive effect on hotel ratings. In addition, Asian customers tend to give lower ratings than Western customers. We outline specific implications for hotel managers and their online management and offer suggestions for future research based on the empirical findings.     

The impact of customers’ prior online experience on future hotel usage behavior

Service experience model stipulates the importance of service experience in increasing satisfaction, price acceptance, revisit intentions, etc. It has been extensively tested and validated in hotel management studies. However, the online service experience which, in these days, precedes the physical service experience has not be considered together in most hotel service experience studies. In hotel management literature, studies on online experiences are largely segregated from physical service experience model. In this study, prior online experience model is proposed which includes online experience preceding the physical service encounter, and a survey is administered. Result indicates the strong influence of online experience as a leading construct of the service experience model in hotels. Online experience strongly conditions the customers’ perception of physical service experience and, also, provides good ground for price acceptance. Interestingly, the influence of physical service experience on price acceptance seems to be rather alleviated with online experience, indicating the important role the online experience plays in managing customer perception on hotel service experience. Hotel management needs to pay close attention to their customers’ online experience beyond simple esthetics as the online experience seems to influence all the subsequent components of hotel service model.     

我国酒店在线预订价格竞争的实证研究

在线旅行预订已经成为消费者日益青睐的旅游产品消费模式,其中酒店的在线预订增长量尤其明显。目前在酒店在线预订市场中,既有旅行在线代理商也有酒店官网,且两者竞争越来越激烈。这两种主要的酒店在线预订其价格有没有显著性差异？不同类型酒店差异表现是否一致？文章借用配对样本￡检验方法对我国酒店在线预订价格竞争进行实证研究,深度剖析两种在线预订渠道的定价规律及形成原因,并提出相关建议。     

Improving text summarization of online hotel reviews with review helpfulness and sentiment

The considerable volume of online reviews for today's hotels are is difficult for review readers to manually process. Automatic review summarizations are a promising direction for improving information processing of travelers. Studies have focused on extracting relevant text features or performing sentiment analysis to compile review summaries. However, numerous reviews contain nonspecific or nonsentimental content, hindering the ability of sentiment-based techniques' to accurately summarize useful information from hotel reviews. This paper proposes a systematic approach that first constructs classifiers to identify helpful reviews and then classifies the sentences in the helpful reviews into six hotel features. Finally, the sentiment polarities of sentences are analyzed to generate the review summaries. Experiment results indicated that the performance of the proposed approach was superior to other methods.     

Consumers’ responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition

Electronic word-of-mouth (eWOM) is prevalent in today's lodging market and has potential to influence consumers’ decision making. This study investigated how the presence of online reviewers’ personal identifying information (PII) may affect consumers’ processing of ambivalent online hotel reviews and hotel booking intentions. The results of an experiment with a sample of 274 undergraduate students indicate that the presence of PII positively affects the perceived credibility of the online reviews. When coupled with ambivalent online reviews, the presence of PII significantly lowers consumers’ hotel booking intentions.     

When online reviews meet virtual reality: Effects on consumer hotel booking

This study examines the direct and interaction effects of online reviews (quality and quantity) and virtual reality on consumer hotel booking. Data were collected from two 2 × 2 experimental studies. The results show a direct effect of both online review and virtual reality's application on behavioral intention, and the influence of online reviews on behavioral intention was weakened when virtual reality was applied. Moreover, online reviews and virtual reality had a significant combined effect on behavioral intention, with greater strength than that of online reviews alone. The findings provide insights for travel and tourism managers to enhance marketing communication effects by proper use of virtual reality to complement online reviews.