Understanding food truck customers: Selection attributes and customer segmentation

Given the steadily increasing popularity of food trucks among consumers, this study investigated customer selection attributes and dining intention toward food trucks and compared the importance of the selection attributes by customer segments based on respondents’ food-related lifestyle. The results of an online survey from 421 food truck customers indicated that out of the six food truck selection attributes identified (i.e., marketing/setting, food quality/value, service quality, dietary considerations, reputation, and experience), food quality/value ranked the highest among general food truck customers who were classified into four groups: health-conscious, price-oriented, taste-oriented, and convenience-oriented. Among them, two groups—health-conscious and taste-oriented—had a higher dining intention at a food truck than other types of customers, and the importance of all six attributes differed significantly across customer segments. The findings of this study provide meaningful theoretical and practical implications.     

Understanding the relationship between food experiential quality and customer dining satisfaction: A perspective on negative bias

This research explores how food experiential quality of consumers affects their overall dining satisfaction. Drawing on negative bias theory, we propose a nonlinear relationship between food experiential quality and customer dining satisfaction. Moreover, we investigate how restaurant price moderates the nonlinear relationship between food experiential quality and customer dining satisfaction. Results of the threshold model using 10,950 online reviews of 219 restaurants on Dianping.com provide support for the proposed hypotheses. The results suggest that a curvilinear relationship is found between food experiential quality dining satisfaction, and the turning points of nonlinear returns decreases for restaurants that belong to high-priced groups. Theoretically, our findings contribute to the existing literature by considering the nonlinear effect of food experiential quality on customer dining satisfaction in the hospitality area through the lens of negative bias, as well as considering the boundary condition. Practically, our findings suggest that restaurant managements can improve customer dining satisfaction through focusing on the food experiential quality of their customers and enhancing their response to customers who have low-level food experiential quality. In addition, if the restaurant price is high, restaurant managers should provide high-level of food experiential quality.     

Finding the reviews on yelp that actually matter to me: Innovative approach of improving recommender systems

As many readers struggle with massive textual information on review websites, developing optimized recommender systems that assist readers in identifying relevant reviews is critical. The present study aims to explore and predict the relationship between a reviewer’s evaluation of distinct attributes (i.e., importance and sentiment of a restaurant aspect)² and overall satisfaction (i.e., generic numerical rating of a restaurant). Latent Aspect Rating Analysis is modified to achieve the goal. The study identifies five restaurant attributes: food & drinks, customer service, dining atmosphere, restaurant value, and location. Restaurant value contributes most from the importance perspective and food & drinks contributes most from the sentiment perspective. Restaurant value ranks the first as the overall satisfaction of attributes (i.e., combination of importance and sentiment). Accordingly, the present study suggests a supplement of the “dynamic” recommender systems. This study offers scholars and practitioners a refined approach to analyze wealthy review content.     

Restaurant Customers’ Perceptions of Noise and Their Satisfaction and Loyalty Behaviors

This exploratory study expands the current literature on servicescapes by examining the total noise environment in restaurants and the impact of ambient noise levels and general restaurant attributes on customer satisfaction and loyalty behavior, defined as the customer's willingness to return to a restaurant and motivation to recommend it. The researchers surveyed guests at one casual dining restaurant in the Southwestern United States. The results showed that services, physical attributes, and quality of food and beverage had significant impact on overall satisfaction, overall atmosphere, and loyalty behaviors. Noise level factors such as effects of noise and appropriateness of noise levels, influenced overall satisfaction, but not loyalty behaviors.     

The dining experience of Beijing Roast Duck: A comparative study of the Chinese and English online consumer reviews

Currently research investigating travel dining experience from a cross-cultural perspective was limited. This study aimed to compare the domestic Chinese and foreign English-speaking customers’ dining experience of Beijing Roast Duck, a specialty food representing the gastronomic identity of the local cuisine. By employing semantic network analysis of the online consumer reviews, the results identified three common dimensions perceived by both groups, including the food, the restaurant and the occasion for dining out, and the service encounter. However, the domestic and foreign customers differed in their orientation about the aspects of the service encounter that they cared about. They also showed substantial differences in their perception about value for money as well as the cultural and experiential nature of the meal. The study also attested to the utility of the semantic network analysis method to uncover the rich information contained in the vast user generated content online.     

Does offering an organic food menu help restaurants excel in competition? An examination of diners’ decision-making

This study aims to examine whether the presence of an organic food menu can positively influence diners’ decision-making. A 3 (restaurant segment: quick service vs. casual dining vs. fine dining) by 2 (price discrepancy between competing restaurants: small vs. large) scenario-based experiment was conducted with 405 U.S. consumers. MANCOVA results indicate that using organic ingredients offers a greater advantage for the quick-service segment regarding perceived food quality, attitudes towards the restaurant, and willingness to select, compared to casual and fine dining segments. The magnitude of a premium price of organic ingredients negatively influences such advantage in the process of consumers’ decision-making. When a large (vs. small) premium price is charged for using organic ingredients, customers’ preferences for the restaurant (over its rival) significantly drops to such an extent that customers are more willing to choose the competitor (i.e., rival restaurant with a conventional menu). Discussions and implications are further elaborated.     

Retention Factors of Tipped Hourly Employees in the Casual Dining Restaurant Segment: Exploratory Research in Central Florida

ABSTRACT

Hourly employee retention has been a major area of concern for casual dining restaurant operators. The current exploratory research employed a self-administered questionnaire asking 96 tipped casual dining restaurant hourly employees from 12 different restaurants in the Central Florida region of the United States to rate the importance of 21 employment characteristics of their job and their actual experience with these employment characteristics. The findings revealed that the most important employment characteristics were: flexible working hours, consistent working hours, and nice people to work with. These findings differed from a similar previous study done in 2004 with quick service restaurant employees who rated nice people to work with, humane approach to employees, and hourly wages as the most important employment characteristics. The current study showed statistically significant differences between the level of importance and actual experience attached to 18 of the 21 employment characteristics, which could explain some potential areas of misperception between hourly employees and managers in the industry. These variations can consequently help to explain the high turnover and low retention of employees in the tipped positions in the casual dining restaurant industry. Implications for management are discussed.     

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.     

“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.     

A top box analysis of DinEX to optimize restaurant resources

This study examined the relative perceived importance of the various dimensions of the restaurant experience, as captured by DinEX. Over 1,000 U.S. restaurant patrons provided perceived importance ratings of six DinEX dimensions as they related to their most recent dining experience across a variety of meal periods and restaurant categories. To make comparisons, an innovative approach to analyzing top box data was utilized. The results indicate significant differences exist across each of the DinEX dimensions, with food quality emerging as the top concern of restaurant patrons. The results of the study offer valuable guidance to the restaurateur in terms of the distinct ordering of experience dimensions that were observed, as well as the straightforward methodology demonstrated for monitoring and evaluating customers’ importance perceptions.     

Examining the impact of experiential value on emotions,self-connective attachment,and brand loyalty in Korean family restaurants

ABSTRACT

This study examines how experiential value as perceived by customers of Korean family restaurants influences consumption emotions, self-connective attachment to the restaurant brand, and, ultimately, brand loyalty. Having conducted a comprehensive literature review, the study proposes and estimates a model that specifies the interrelationships among four dimensions of experiential value (i.e., atmosphere, escapism, customer return on investment, and service excellence), and latent variables of positive and negative emotions, self-connective attachment, and brand loyalty. Analysis with structural equation modeling was conducted with data collected from customers of family restaurants in South Korea. The results show that dimensions of experiential value influence either positive or negative emotions. The emotion variables, together with self-connective attachment, also mediate the relationships between perceived value of dining experience and brand loyalty.     

Hedonic adaptation and satiation: Understanding switching behavior in the restaurant industry

The role of satiation as a determinant of restaurant patronage has been the subject of increasing research attention. The purpose of this research is to further consider the relationship between satiation and switching behavior in the restaurant industry. Specifically, we seek to address the mediating mechanism of service quality in this framework. Based on the related tenets of diminishing marginal utility and hedonic adaptation, we propose that satiation and service quality are inversely related. The results of an empirical analysis confirm that as consumers become satiated with food, atmosphere, and restaurant service, perceptions of these three facets of overall service quality are diminished, leading to decreased satisfaction and switching intentions. In addition to the practical implications of these results, the finding that satiation directly impacts service quality represents an important step in the overall task of understanding the effects of satiation in determining restaurant patronage behavior.     

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.     

Perceptions of Chinese restaurants in the U.S.: What affects customer satisfaction and behavioral intentions?

This study investigates American customers’ perceptions of Chinese restaurants in the U.S., using the Importance–Performance Analysis (IPA) approach. This study also examines which attributes of Chinese restaurants influence American customers’ satisfaction and behavioral intentions. The IPA shows that environmental cleanliness and attentive service are two important areas where Chinese restaurateurs can make improvements. In addition, food taste and service reliability appear to be key attributes for Chinese restaurants’ success. Overall, this study indicates that food quality, service reliability and environmental cleanliness are three pivotal attributes to create satisfied customers and positive post-dining behavioral intentions. Chinese restaurant managers should reasonably allocate their limited resources to restaurant attributes based on their contributions to customer satisfaction and behavioral intentions.     

Matching visitation-motives and restaurant attributes in casual dining restaurants

This study empirically examines the relationship between the visitation motives and attributes evaluation in the casual dining restaurant context. Based on the focus group discussions, the visitation motives and the restaurant attributes that are considered relevant by the patrons in evaluation of restaurant experience were identified. Data on restaurant visitation motives and attributes importance was collected from 316 patrons of casual dining restaurants in India. A nonlinear canonical correlation was performed to examine the relationship between visitation motives and attributes importance. The results reveal that the attribute importance varied across the visitation motives. Managerial implications, limitations and future research directions are also suggested.     

Factors influencing customers’ dine out intention during COVID-19 reopening period: The moderating role of country-of-origin effect

COVID-19 pandemic negatively affected the restaurant industry and reopening provides restaurants an opportunity to survive this crisis. This study examined the interplay of perceived importance of preventive measures, dining involvement, brand trust, and customers’ intention to dine out at American Chinese restaurants during the reopening period. Additionally, the study investigated the moderating role of country-of-origin (COO) effect on these relationships. 296 U.S. restaurant customers recruited via a market research company completed the online survey. Structural equation modeling was used for data analyses. The results indicated that dining involvement had a direct positive effect on customers’ intention to dine out. Moreover, both perceived importance of preventive measures and dining involvement could enhance customers’ intention to dine out indirectly via brand trust. Positive COO effect moderated the relationship between perceived importance of preventive measures and brand trust. The study provided significant implications for restaurant operators in the U.S during the reopening period.     

A multilevel synthesis of subjective and objective measures of foodservices in the experience process

This study develops a multilevel framework that connects customer-to-customer (C2C) interaction quality to brand attachment through customer experience. Two food traits—uniqueness and taste—and service quality are posited to play different roles in this link. This research contributes to the literature on the effects of food traits and service on the experience creation process at upscale restaurants. By including both objective measures from user-generated ratings and subjective measures from customer evaluations of restaurant dining, this research sheds new light on the cross-level direct and moderating effects on the experience creation process, and thus answers the question of when and how this process is contingent on food traits and service of different dining outings. It further contributes to the brand attachment literature by revealing the cross-level moderated mediating effect of customer experience on customer emotional connection to a restaurant brand.     

Change in Consumer Patronage and Willingness to Pay at Different Levels of Service Attributes in Restaurants: A Study in India

Consumer patronage and consumer willingness to pay are the two most important criteria for business development. The current study investigates the changing preferences of consumers in a developing economy with respect to three major service attributes from the restaurant industry: food quality, service, and ambiance. Results indicated that consumers give greater preference to quality over service in high-end restaurants and prefer service compared with ambiance in quick-service restaurants. Food quality was found to have strong interaction effect with two other variables. When food quality was improved from low to high, consumer preferences for ambiance and service tended to change accordingly in the same direction, but not necessarily at the same level. Thus, restaurateurs have a strategic advantage when they choose high quality food and an appropriate level of service or ambiance. Consumer expectations are significantly different for high-end, full-service restaurants and quick-service restaurants in service attributes.     

Generational Perception and Satisfaction Differences Related to Restaurant Service Environment

ABSTRACT

The current study considers perception, satisfaction, and importance rating differences of aspects of the dining service environment in a casual-themed restaurant between members of three generations—baby boomers, Gen X, and millennials. The study also assesses the moderating role of generation on the relationship between satisfaction and repeat patronage intentions. Significant differences were found between generations related to satisfaction, importance ratings, and repeat patronage intentions regarding the overall dining service environment. The current study provides assessment of components of the DINESCAPE scale along with items from the DinEX scale related to social connectedness. Implications of the research are discussed.