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The purpose of this study is to explore the effect of two types of presentation formats (textual and imagery) involving online restaurant reviews (ORRs). The study examines ORRs on the basis of review usefulness and review enjoyment; the study investigates the effects of the two presentation formats on review usefulness and review enjoyment.

Data from 1,776 reviews were collected from Yelp.com using a Web data-harvesting technique. Hypothesized relations in the model were tested by Tobit regression analysis.

Empirical results show that different formats of ORRs affect review usefulness and review enjoyment in different manners; whereas both attributes of textual format (review length and readability) affect review usefulness, both aspects of imagery format (physical environment images and food and beverage images) are positively related to review enjoyment. However, review length and food and beverage images are the most important factors affecting both review usefulness and review enjoyment. In particular, the relation between the two formats of ORRs and review usefulness is mediated by review enjoyment.

The focus of this study is the two formats of ORRs in terms of dual coding theory and the mediating role of review enjoyment. The findings help online review website organizers manage the operation of various review formats in a proper manner. Managers can effectively select those formats that would achieve the desired effect.

Unlike previous studies on the relation of attributes to online reviews, this study examines the perceptions of ORRs’ usefulness and enjoyment. In addition, this study encompasses diverse ORR factors (review length, review readability, physical environment images, food and beverage images) for a more comprehensive interpretation of ORRs.

The purpose of this study is to understand the antecedents and consequences of the perceived usefulness (PU) of travel review websites.

An integrated model was proposed and 199 valid data were collected via a questionnaire survey from an online travel service company. The partial least squares structural equation modeling (PLS-SEM) was applied in data analysis.

The antecedents of the PU of travel review websites are utilitarian and hedonic perceptions, specifically the information quality of eWOM (utilitarian perceptions), curiosity fulfilment and enjoyment in travel review websites usage (hedonic perceptions). The PU of travel review websites positively impacts travelers’ eWOM generation, eWOM use and purchase decision.

This paper provides implications for travel review websites, social media managers and website designers on how to make a useful travel review website which will lead to eWOM use and generation, as well as purchase decision.

Prior literature has highlighted the importance of the PU of eWOM in determining travelers’ use of eWOM and purchase decision, the PU of eWOM websites has not attracted the attention of researchers. This paper is a new attempt to investigate the antecedents and consequences of the PU of travel review websites.

The purpose of this paper is to investigate the relationships between five characteristics of social shoppers’ online reviews (the number of all reviews made by a reviewer, the number of friends of a reviewer, the review score, the number of review words, and images/photos) and the usefulness, funniness, and coolness to viewers for the restaurant businesses and the health and wellness businesses.

A sample of 1,114 online reviews of social shoppers was collected from Yelp.com. A zero-inflated Poisson regression was used due to a high number of zero votes in the dependent variables for usefulness, funniness, and coolness. The regression identified the review characteristics that are strongly associated with the number of usefulness, funniness, and coolness votes made by viewers.

The analysis shows that for the health and wellness businesses, all three dependent variables (usefulness, funniness, and coolness) have the number of reviews, the number of friends, and the number of words as significant independent variables. The results indicate that a reviewer who has more friends and is more experienced in giving reviews is likely to be more influential in generating a perceived value of the online review. The analysis also shows that all three dependent variables of the restaurant businesses have the number of words as a significant independent variable. It is found that there is a negative relationship between the review score and the usefulness votes for both restaurant businesses and health and wellness businesses. The effect of the review score on the coolness votes was not consistent.

This study is the first research attempt in understanding social shoppers’ online reviews and their usefulness, funniness, and coolness to viewers, and therefore makes significant contributions to research and practice. The comparison was made between restaurant businesses and health and wellness businesses. The result indicates that for the health and wellness businesses, managers need to pay attention to social shoppers with a high number of friends and high number of words in a review. It is also noted that it is necessary to analyze review characteristics separately for each business type. However, as is typical in many empirical studies, this study is not without limitations. While the author limited the analysis of social shoppers’ online reviews to the five characteristics, additional variables may influence the number of votes, too. This study is limited to social shoppers’ reviews and the findings may not be generalized to regular customers’ online reviews. Future research should also examine whether similar results can be obtained at other review sites such as TripAdvisor and Zagat.

Despite the potential significance of social shoppers’ online reviews, the critical mass of empirical studies still lacks in this area. For a more comprehensive interpretation of review characteristics, this study develops hypotheses based on the literature review on electronic word of mouth and source credibility models and investigates the effect of the five review characteristics on the viewers’ perceived usefulness, funniness, and coolness. Unlike previous studies focused on a single business type, this study compares the results obtained for restaurant businesses and health and wellness businesses and demonstrates that viewers in each business type respond differently to social shoppers’ online reviews.

In this paper the authors aim to review the state-of-the-art literature on online review systems and their impacts on consumer behavior and retailers' performance with the aim of identifying research gaps related to different design features of review systems and developing future research agenda.

The authors conducted a systematic review based on PRISMA 2020 protocol, focusing on studies published in the domains of retailing and marketing. This procedure resulted in 48 selected papers investigating the design features of retailer online review systems.

The authors identify eight design features that are controllable by retailers in an online review system. The design features have been researched independently in previous literature, with some features receiving more attention. Most selected studies focus on the design features adapted metrics and review presentations, while other features are generally neglected (e.g. rating dimensions). Previous literature argues that design features affect consumer behaviors and retailers' performance. However, the interactions among the features are still neglected in the literature, creating a relevant gap for future research.

This paper distinguishes between different types of retailer online review systems based on how they are implemented. The authors summarize the state-of-the-art of relevant literature on design features of online review systems and their effects on consumer- and retailer-related outcome variables. This systematic literature review distinguishes between online reviews provided on websites controlled by retailers (internal systems) and third-party websites (external systems).

The purposes of this study are to synthesize the current research findings reported in major hospitality and tourism journals and to discuss the knowledge gaps where additional research endeavors are needed.

A systematic review approach was adopted to analyze 67 research articles about online reviews that were published between January 2000 and July 2015 in seven major hospitality and tourism journals.

This study presents a thematic framework of online review research, which was advanced by integrating the interactions among quantitative evaluation features, verbal evaluation features, reputation features and social features of online reviews with important outcomes of consumer decision-making and business performance. The thematic framework helps researchers identify the areas in extant hospitality literature of online reviews and point out possible directions for future studies.

The systematic review approach has a qualitative nature, where relevant literature was interpreted based on the authors’ domain knowledge and expertise.

Practitioners can gain a comprehensive understanding of the dynamic relationships among the key influential factors in online reviews, as presented in the thematic framework of online review research. Accordingly, managers will be able to develop effective strategies to leverage the positive impacts of online reviews to the business outcomes.

This systematic review synthesizes the findings reported in most recent publications (January 2000-July 2015; also including “Online First” articles) in seven major hospitality and tourism journals and develops an integrated research framework, anchoring on four meta-research questions and showing the dynamic relationships among the key players/factors/themes in online review research. This framework provides a visual diagram to practitioners for a better understanding of the relevant literature and assists researchers in developing new research questions for future studies.

Online retailers are pioneering the incentivization of customers to generate more product reviews by rewarding them. However, little is known about the impact of reward types on customers' review behavior, including review frequency and sentiment. To address this gap, we investigated the effects of different reward types on customers' review behavior and how these rewards influence customers' review behavior.

We collected secondary data and empirically tested the hypothesis by analyzing the change in reward policy. Regression and two-stage Heckman models were applied to investigate the effects, with the latter used to control potential selection issues.

The results revealed that monetary rewards can stimulate customers to generate more positive product reviews. Furthermore, the reward amount has a negative moderating effect on the aforementioned relationship. Additionally, customer tenure negatively moderates the relationship between monetary rewards and review behavior.

This study contributes to the understanding of user-generated content motivation and provides managerial implications for reward programs.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

The ongoing COVID-19 pandemic has led to drastic changes in the lives of customers. Social isolation, financial difficulties, fear of being infected and many other factors have caused the psychological well-being of customers to deteriorate. By taking up the role of online reviews in the regulation of consumers’ moods, this study aims to examine the changes that have occurred in online product ratings, as well as the negative tone and word counts of product reviews during the COVID-19 pandemic.

This study examines the online reviews of 321 products in the pre-COVID, immediate COVID and extended COVID periods. This paper compares the changes that have taken place in product evaluations via various analysis of variance analyses. The authors also test the effect of COVID-related deaths on product evaluations via regression analyses.

The results indicate that online product ratings decreased sharply just after the outbreak of COVID-19. The study also found that the tone of reviews was found to be more negative and the length of reviews appeared to be longer in comparison to the pre-COVID-19 period. The results also revealed that the product type (experience vs search) moderated the effect of the pandemic in online reviews and the impact of COVID-19 on online product reviews diminished in the later stages of the ongoing pandemic.

Managers should be aware of the detrimental impact of pandemics on online product reviews and be more responsive to customer problems during the early stages of pandemics.

To the best of the authors’ knowledge, this is the first study that analyzes the effects of a pandemic on online product ratings and review content. As such, this study offers a timely contribution to the marketing literature.

This study explores the tourists' behavioral intention toward tasting ethnic food by proposing 'enjoyment’ as an indirect mechanism in improvising the model of Wang. In other words, when affective and cognitive components are triggered positively while reading online gastronomy reviews on social media platforms, enjoyment is aroused, subsequently enhancing the desire to taste ethnic foods displayed online.

Data from 385 visitors from Kashmir, India, were gathered using a purposive sample technique. The research model was put to the test using PLS-SEM.

Direct and indirect mechanisms influence Behavioral Intention. Enjoyment acts as a mediator. Overall, the results validated the presence of three direct and full mediation paths.

This study will help tourism practitioners justify their promotional activities on social networking sites, particularly in endorsing regional ethnic dishes. For example, tourism authorities could collaborate with bloggers on social media and offer incentives to promote attractive images of ethnic food. Similarly, ethnic food outlets can improve online exposure and interactivity by encouraging travelers to leave feedback after visits.

Unlike other studies, this research broadens our understanding by focusing on direct and indirect mechanisms. The inclusion of a mediator enhanced the total variance of the dependent variable.

The diffusion of electronic commerce has a notable impact on the economy's prosperity. This paper embraces complexity theory principles to examine the factors affecting Internet users' acceptance and use of electronic retailers. It is essential for the sustainability of electronic retailers to understand the motivations impacting online consumer behaviour. Symmetrical and asymmetrical methods are combined to examine the relationship between perceived ease of use, perceived enjoyment, web characteristics, online consumer reviews (OCRs) and online purchase intention. Further, symmetry and differences between males and females were examined.

Data collected from 425 online consumers using an online structured survey was analysed using structural equation modelling (SEM) and fuzzy set qualitative comparative analysis (fsQCA). The net effects and causal configurations of the four proposed variables and online purchase intention were examined.

The SEM findings confirmed the significance of perceived enjoyment, website characteristics and OCRs on online purchase intention. Perceived enjoyment mediated the relationship between perceived ease of use and online purchase intention. The multi-group analysis confirmed the difference in antecedent impacts between males and females. The fsQCA findings revealed that multiple recipes lead to the occurrence of online purchase intention; in addition, the recipes leading to its absence do not mirror the previous ones.

The present study embraces complexity theory concepts in understanding online purchase intention using fsQCA methodology; further, the role of gender in online consumer behaviour was highlighted in the result discussion.