“How was your meal?” Examining customer experience using Google maps reviews

The purpose of this research is to examine the effects of restaurant attributes and the underlying factors impacting overall customer experience within a range of different restaurant types. To understand their experiences, this study analyses online reviews of restaurants which have become important sources of customer experience data. This current research utilises a combination of quantitative analyses to examine 935,386 Google Maps reviews of 5010 restaurants in London, Birmingham, and Manchester. The authors used the VADER sentiment analysis algorithm to measure the sentiment of four key restaurant attributes: food, service, atmosphere, and value. Logistic regression was conducted to test the relationships between these attributes and a 5-star rating. Furthermore, logistic regression was used to compare the changes of odds at different star rating levels. To understand the factors that drive positive and negative reviews, the top 30 food items of 8 types of restaurants were analysed.     

Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews

Business failure prediction or survival analysis can assist corporate organizations in better understanding their performance and improving decision making. Based on aspect-based sentiment analysis (ABSA), this study investigates the effect of customer-generated content (i.e., online reviews) in predicting restaurant survival using datasets for restaurants in two world famous tourism destinations in the United States. ABSA divides the overall review sentiment of each online review into five categories, namely location, tastiness, price, service, and atmosphere. By employing the machine learning–based conditional survival forest model, empirical results show that compared with overall review sentiment, aspect-based sentiment for various factors can improve the prediction performance of restaurant survival. Based on feature importance analysis, this study also highlights the effects of different types of aspect sentiment on restaurant survival prediction to identify which features of online reviews are optimal indicators of restaurant survival.     

Characterizing non-chain restaurants’ Yelp star-ratings: Generalizable findings from a representative sample of Yelp reviews

Previous research has established the importance of positive Yelp reviews for the success of independent, non-chain restaurant. While managers may assume that increasing customer satisfaction will increase star rating, previous research on determinants of satisfaction does not necessarily generalize to Yelp reviews or across Yelp star ratings. Accordingly, we used Multiple Correspondence Analysis with a representative sample of 54,000 reviews to investigate the criteria used by reviewers in their assignment of star-ratings to determine if different star-ratings are characterized by different criteria. Our findings confirm previous research showing the importance of service, food, and environment, but suggest these criteria matter differently at different star ratings. Based on these results, we offer suggestions for improving restaurants’ star-ratings: for 1 and 2-star restaurants, avoid long waits, for 3-star restaurants, focus on improving food quality, for 4 and 5-star restaurants, focus on creating a positive overall experience through service, food, and environmental factors.     

“His lack of a mask ruined everything.” Restaurant customer satisfaction during the COVID-19 outbreak: An analysis of Yelp review texts and star-ratings

The aim of the study was to provide practical advice to restaurant managers for improving star ratings as well as information for researchers on how the pandemic has impacted established determinants of satisfaction. The study examined criteria used by restaurant customers in assigning star-ratings on Yelp during the COVID-19 pandemic using keyword analysis and Multiple Correspondence Analysis. In evaluating restaurants, the reviewers focused on service, overall experience, and food quality. Service was discussed in relation to the pandemic and included safety of the dine-in experience, contrasted with take-out options and compliance with COVID-19 guidelines. These criteria applied differently with lower-star reviews focusing on safety, social distancing, and mask policies. Higher-star reviews focused on take-out/delivery services, high-quality food, and an overall positive experience. The study provides valuable contributions to our understanding of how the COVID-19 pandemic will impact the restaurant sector in a post-pandemic world.     

Positive and Negative Word of Mouth about Restaurants: Exploring the Asymmetric Impact of the Performance of Attributes

This study examines the relationship between attribute performance of a restaurant and customers' positive and negative word of mouth (WOM). We present an analysis of 168,262 customer reviews, which consist of an overall rating of a dining experience, ratings of food, physical environment and employee service, and real expenditure for a meal, totally covering 1,542 Chinese restaurants on a restaurant guide website. The results indicate that the performance of attributes has an asymmetric impact on positive and negative WOM for the restaurant industry as well as for low-end and mid-to-high-end restaurants. Our results also show that, in most cases, there is a combined effect of two attributes on both positive and negative WOM.     

Can time soften your opinion? The influence of consumer experience valence and review device type on restaurant evaluation

The objective of this study is to investigate how review temporal distance influences the conformity of consumer restaurant review ratings. By employing an innovative dataset pairing consumer reservation records and consumer online reviews, the findings of this study indicate that (1) in general, temporal distance has a positive influence on restaurant evaluation conformity; (2) consumption experience valence moderates the influence of review temporal distance on restaurant evaluation conformity, with a negative dining experience strengthening the positive effects; (3) review device moderates the influence of review temporal distance on review conformity, with reviews posted via mobile devices weakening the positive effect of temporal distance; and (4) compared to reviews posted via PCs, mobile reviewers appear less likely to be influenced by prior reviews. Findings from this study provide practical insights for restaurants’ management of online reviews.     

Dimensionality of ethnic food fine dining experience: An application of semantic network analysis

This study attempts to find the underlying dimensionality in online reviews of fine-dining ethnic food restaurant experiences in Hong Kong. This research adopted semantic network analysis with Clauset–Newman–Moore clustering. Consequently, diverse and specific dimensionality was explored in this research, including ambiance, service, food, drinks, desserts, view, location, occasions, reputation and price. The content of the reviews on five types of ethnic restaurants was different in some dimensions. Marketers of fine-dining ethnic restaurants can select a particular focus when they promote their restaurants, develop menu plan and train staff members. This study implies that the quality dimensions of traditional restaurants may not accurately represent the factual dimensions, thereby resulting in implications for developing a new index of restaurant quality.     

Identifying salient attributes of peer-to-peer accommodation experience

This study explores key content and themes from online reviews to explain major service attributes of peer-to-peer (P2P) accommodation sought by guests. The results from lexical analyses indicate that attributes frequently mentioned in guest reviews are associated with location (proximity to point of interest and characteristics of neighborhood), host (service and hospitality), and property (facilities and atmosphere). Reviews focusing on location and feeling welcome are consistently linked with higher rating scores, including accuracy, cleanliness, check-in, communication, value, and overall ratings. This confirms that P2P accommodation appeals to consumers who are driven by experiential and social motivations. Marketing implications are provided.     

Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic

Online reviews remain important during the COVID-19 pandemic as they help customers make safe dining decisions. To help restaurants better understand customers’ needs and sustain their business under current circumstance, this study extracts restaurant features that are cared for by customers in current circumstance. This study also introduces deep learning methods to examine customers’ opinions about restaurant features and to detect reviews with mismatched ratings. By analyzing 112,412 restaurant reviews posted during January-June 2020 on Yelp.com, four frequently mentioned restaurant features (e.g., service, food, place, and experience) along with their associated sentiment scores were identified. Findings also show that deep learning algorithms (i.e., Bidirectional LSTM and Simple Embedding + Average Pooling) outperform traditional machine learning algorithms in sentiment classification and review rating prediction. This study strengthens the extant literature by empirically analyzing restaurant reviews posted during the COVID-19 pandemic and discovering suitable deep learning algorithms for different text mining tasks.     

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.     

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.     

Why do you use Yelp? Analysis of factors influencing customers’ website adoption and dining behavior

The number of review websites has increased within the past years since more people rely on online reviews to help their decision-making process. Previous studies have either focused on the attributes of the content posted on review websites (i.e., reviews) or customers’ behavior concerning their selection of review website on which to post reviews. This study, however, extends the Technology Acceptance Model (TAM) to investigate the factors that influence individuals’ restaurant review website adoption behaviors to read reviews and make dining decisions. In addition, this study will look at the differences in individuals’ perceptions of various restaurant review websites (i.e., Yelp vs. others). The findings revealed the role of influential factors on individuals’ review website adoption and dining decisions as well as the differences in proposed structural relationships among various restaurant review websites.     

Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations

This study empirically examined which restaurant experiences trigger customers to engage in positive electronic word-of-mouth (eWOM), where the quality of restaurant service (food quality, service quality, atmosphere, and price fairness) is the antecedent of eWOM communication. The results of this study suggest that (1) restaurants’ food quality positively influences customers to spread positive eWOM, motivated by their desire to help the restaurant; (2) satisfactory restaurant experiences with service employees triggered positive eWOM, motivated by the need to help the restaurant or to express positive feelings; (3) a superior atmosphere in restaurants elicited positive eWOM motivated by a concern for others; and (4) price fairness in restaurants did not drive restaurant customers toward eWOM. Additionally, this study investigated sources of positive eWOM and types of eWOM media used among opinion leaders in the restaurant industry to enhance the practical implications of the study regarding online marketing. Because of the small number of opinion leaders in the study sample, specifying who the opinion leaders were (the source of eWOM) and the type of eWOM media the opinion leaders used had no effect. Further discussion and implications are provided in the text.     

Customer Expectations of Casual Dining Restaurants: The Case of Liberty Tap Room

The current research examines the importance of restaurant attributes as rated by customers dining in a casual-style restaurant located in a medium-sized city in the Southeast United States. Previous research and the models used to measure customer perceptions of restaurant attributes were reviewed. The assessment instrument chosen for the current study was adapted from DinEX, developed by Antun, Frash, Costen, and Runyan (2010). A total of 92 customers completed the survey over a 10-day period in late August and early September of 2011. Results showed that customers rate food and service attributes as most important when dining out. Attributes related to atmosphere received moderate importance ratings. In using a confirmatory factor analysis, six latent variables emerged: social connectedness, service quality, atmosphere, food quality, healthfulness, and food value. The only statistically significant differences between the factors related to the demographic variables were that females rated the healthfulness of the food options as more important than males, and dinner customers rated the food value as more important than the lunch customers. Implications for restaurant operators and suggestions for further research are discussed.     

电子口碑对餐厅在线浏览量影响研究

Web 2.0技术和用户创造内容的发展改变了人们搜索和分享信息的方式,电子口碑作为传统口碑在互联网时代的发展产物,日渐成为消费者收集信息和进行决策的主要渠道。特别是近年来第三方点评网站数量不断增加,汇集了海量的信息,形成电子口碑效应,但是目前对这种效应的评价和测量研究不足。因此,文章借助第三方点评网站,研究消费者点评和编辑点评对餐厅网页浏览量的影响以及点评网上呈现餐厅的哪些口碑因素是吸引消费者浏览餐厅网页最重要的因素。研究发现,这两种形式的电子口碑对增加餐厅网页浏览量都具有显著的作用,编辑点评的重要性开始凸显,但消费者点评的作用更强。其中,点评数量是影响消费者浏览餐厅网页的最重要因素,其次是价格因素和消费者在餐厅网页上发布的图片。在餐厅体验的3个基本因素中,食物味道是影响餐厅网页浏览量最重要的因素。研究结果对第三方点评网站和旅游企业都具有重要的现实意义。     

Impact of online reviews on hotel booking intention: The moderating role of brand image,star category,and price

This paper analyses the impact of online reviews on hotel booking intention. The moderating effect of brand image, star category, and price on this relationship was also tested. A quantitative approach has been followed by collecting questionnaires from a convenience sample of 432 customers who have previous experience with online booking. Results of the research revealed that reviews with positive valence do not affect booking intention, while reviews with negative valence have a strong impact. In addition, it was found that several moderators made this impact more or less severe. Brand image demonstrated a slight moderating effect due to the factor's inherent subjective nature. A moderating effect was also observed for both price importance and star category on the relationship. In conclusion, this study emphasizes the need for hotel managers to address online customer reviews, and specifically negative ones, to take advantage of promotional opportunities.     

Asymmetric effects of online consumer reviews

Consumers tend to seek heuristic information cues to simplify the amount of information involved in tourist decisions. Accordingly, star ratings in online reviews are a critical heuristic element of the perceived evaluation of online consumer information. The objective of this article is to assess the effect of review ratings on usefulness and enjoyment. The empirical application is carried out on a sample of 5,090 reviews of 45 restaurants in London and New York. The results show that people perceive extreme ratings (positive or negative) as more useful and enjoyable than moderate ratings, giving rise to a U-shaped line, with asymmetric effects: the size of the effect of online reviews depends on whether they are positive or negative.     

A conflict of choice: How consumers choose where to go for dinner

Studies concerning consumers’ decision-making regarding a restaurant choice commonly cite food quality, service quality, and price as important determinants. Less research has focused on how consumers are willing to trade off gains and losses from respective foodservice attributes. Also, extant literature does not account for consumers who use a non-compensatory decision-making strategy. The present study examined consumers’ choices of casual restaurants using a simulation where trade-offs were inevitable. By utilizing a choice experiment, the researchers found that food quality is the most important attribute in restaurant choice, consistent with the literature reviewed. Good service quality, however, does not increase choice likelihood while poor service quality significantly reduces it. Most importantly, we determined a considerable percentage (24.57%) of respondents do not trade off food quality for better service or a lower price. Findings of the study are discussed with implications for practitioners.     

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.