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Prior hospitality studies have reviewed review trustworthiness and perceived price as predictors of restaurant selection. However, the impacts of these two factors may vary by sales promotion and customer types. This study aims to determine whether sales promotions and customer type are the key elements that facilitate behavioral intentions by moderating the linkage between perceived price and behavioral intentions as well as the linkage between online review trustworthiness and behavioral intentions.

Analysis of the responses of 533 individuals familiar with the Michelin Guide for restaurants in Seoul provided evidence supporting a sales promotion theory wherein promotions signal benefits in consumers’ minds.

The findings show that when perceived price is positive and the trustworthiness of online reviews is high, repeat customers prefer mixed coupons to price discounts. Notably, the results indicate that when the trustworthiness of online reviews is high, first-time customers also prefer mixed coupons to price discounts. Furthermore, the findings suggest that negative evaluations of perceived price increase the impact of mixed coupons by signaling to first-time customers that given restaurants’ offerings provide monetary benefits regardless of their intentions to revisit said restaurants.

The study findings provide insights that should help managers better understand various levels of promotion. Managers can design their pricing strategies to strengthen customers’ motivations to visit their restaurants – the very thing customers often seek in sales promotions.

This study provides indisputable evidence for a sales promotion theory, wherein promotions signal benefits in consumers’ minds; however, it also shows that first-time and repeat customers do not respond equally to sales promotions.

This study aims to address a novel information sharing phenomenon among many hospitality consumers, that is, sharing information during, rather than weeks after, a hospitality consumption experience. Specifically, this study tests if including a temporal contiguity cue in a review can significantly enhance the purchase intention of other consumers toward the reviewed business.

A 2 (personal sense of power) × 2 (temporal contiguity cue: manipulated to be absent vs present) quasi-experiment was conducted in this research. Floodlight analysis with the Johnson–Neyman technique was used to test the interaction effect. Hayes’ PROCESS procedure was used to test the mediation effects.

The study found that, for powerless consumers, temporal contiguity cue can effectively enhance the perceived trustworthiness of the review and purchase intention toward the reviewed business. Conversely, for powerful consumers, temporal contiguity cue can significantly reduce the perceived trustworthiness of the review and purchase intention toward the business. Mediation test further revealed evidence for the underlying psychological mechanism for these effects.

Revealing the mixed effects of a novel factor, temporal contiguity cue, on consumer responses toward online hospitality reviews, the current research contributes to the expanding stream of theoretical and managerial knowledge on online review management in social media platforms.

The purpose of this paper is to provide a comprehensive review on electronic word-of-mouth (eWOM) credibility. Further, the authors propose a comprehensive and integrated model on eWOM credibility.

The authors conducted a systematic review of the extant literature on marketing, sociology and psychology to identify the factors that affect eWOM credibility. Further, the authors developed themes and identified factors which lead to eWOM credibility.

Four factors were identified, i.e. content, communicator, context and consumer, which affect eWOM credibility. Several variables associated with these four factors were identified, which result in eWOM credibility. Further, the authors developed 22 propositions to explain the causal relationship between these variables and eWOM credibility.

The conceptual model needs empirical validation across various eWOM platforms, i.e. social networking websites, e-commerce websites, etc.

Managers and e-commerce vendors can use these inputs to develop specific design elements and assessment tools which can help consumers to identify credible eWOM messages. Credible eWOM messages, in turn, will increase the “trust” and “loyalty” of the customers on e-commerce vendors.

This paper provides a conclusive takeaway of eWOM credibility literature by integrating multiple perspectives and arguments from the extant literature. This study also presents an integrated model, which provides a theoretical framework for researchers to further examine the interaction effect of various variables, which results in eWOM credibility.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0263

This study aims to distinguish between service arguments and communication arguments within a home-sharing review and to investigate their roles in consumer purchase decision-making.

Based on the setting of Airbnb, a 3 (service argument valence: positive, neutral, and negative) × 3 (communication argument valence: positive, neutral, and negative) online experiment was conducted. Data collected from 379 participants were used to test the hypotheses.

The three main determinants of purchase intention: perceived host service quality, perceived facility service quality, and perceived social value, are affected by both service arguments and communication arguments. Service arguments positively influence perceived host service quality and perceived facility service quality, while communication arguments contribute significantly to perceived host service quality and perceived social value. However, perceived facility service quality is affected by the combination of service arguments and communication arguments rather than by the service arguments only, because service argument trustworthiness, a factor influencing the effect of service arguments, varies across the combination of two types of arguments.

This research helps home-sharing platform managers to understand how to facilitate transaction success through displaying different review arguments needed by consumers. Additionally, the dual role of communication arguments emphasizes a necessity for hosts to encourage positive communication arguments and provide additional cues on the facility service quality.

The service arguments and communication arguments in home-sharing reviews are distinguished, and their distinct roles in consumers' purchase intention have been uncovered.

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).

This paper examines the role that attitudes toward online product reviews (OPRs), perceived credibility of OPRs and perceived benefit of OPRs play as antecedents of consumers’ reliance on OPRs in purchase decisions. A conceptual model of relationships investigated posits that attitudes drive reliance and are in turn driven by perceived benefit and credibility of OPRs. The study also examines gender differences in the constructs and their inter-relationships.

Data from a structured self-administered survey of US consumers are used to estimate parameters of a structural equation model (SEM) of the relationships. Gender differences in the structural relationships are tested using multi-group SEM, while gender differences in reliance, attitudes, benefit and credibility are tested using independent-samples t-tests.

Results show a strong positive effect of attitudes toward OPRs on reliance on OPRs. In turn, perceived benefit and credibility of OPRs are strong positive drivers of attitudes toward OPRs, with benefit having a greater impact. Structural relationships among the constructs are invariant across the two gender groups. However, there is a statistically significant difference between males and females in reliance on OPRs, with males exhibiting a tendency to rely more on OPRs than females.

The study introduces two new constructs to the literature – reliance on OPRs and global attitudes toward OPRs – and provides initial conceptualizations and operationalizations. The specific results underscore the relevance and importance of further research on these constructs and their relationships with other OPR-relevant constructs. They also provide initial indications of gender differences in consumers’ perceptions of OPRs and relationships among these and reliance on OPRs that are worthy of additional research attention.

Webrooming (i.e. searching information online and making the final purchase in a physical store) has become a popular shopping practice, but remains insufficiently studied. To address this, a research framework encompassing online and offline channel attributes (i.e. online review diagnosticity, online search convenience, expected price loss, offline purchase effort and offline after-sales service convenience), consumer traits (i.e. anticipated regret) and shopping experience (i.e. smart-shopping perception) as determinants of webrooming continuance intention is proposed.

The proposed model was validated by conducting a questionnaire-based survey that yielded 354 useable responses. The data was subjected to partial least squares structural equation modelling and importance-performance map analysis.

According to the obtained results, online review diagnosticity, offline after-sales service convenience and anticipated regret are the vital antecedents of webrooming continuance intention, while smart-shopping perception acts as the mediator.

The current study adds significantly to the body of knowledge about webrooming by validating the inter-relationships between online review diagnosticity, after-sales service convenience, anticipated regret, smart-shopping perception and webrooming continuance intention.

Online hotel ratings, a form of electronic word of mouth (eWOM), are becoming increasingly important to tourism and hospitality management. Using sentiment analysis based on the big data technique, this paper aims to investigate the relationship between customer sentiment and online hotel ratings from the perspective of customers’ motives in the context of eWOM, and to further identify the moderating effects of review characteristics.

The authors first retrieve 273,457 customer-generated reviews from a well-known online travel agency in China using automated data crawlers. Next, they exploit two different sentiment analysis methods to obtain sentiment scores. Finally, empirical studies based on threshold regressions are conducted to establish the asymmetric relationship between customer sentiment and online hotel ratings.

The results suggest that the relationship between customer sentiment and online hotel ratings is asymmetric, and a negative sentiment score will exert a larger decline in online hotel ratings, compared to a positive sentiment score. Meanwhile, the reviewer level and reviews with pictures have moderating effects on the relationship between customer sentiment and online hotel ratings. Moreover, two different types of sentiment scores output by different sentiment analysis methods verify the results of this study.

The moderating effects of reviewer level and reviews with pictures offer new insights for hotel managers to make different customer service policies and for customers to select a hotel based on reviews from the online travel agency.

This paper contributes to the literature by applying big data analysis to the issues in hotel management. Based on the eWOM communication theories, this study extends previous study by providing an analysis framework for the relationship between customer sentiment and online hotel ratings from the perspective of customers’ motives in the context of eWOM.

This study aims to examine the impact of online travel reviews (OTR) on tourists’ intention to travel based on the stimulus–organism–response (SOR) model. Further, it explored the mediating effects of tourist trust in OTR.

In this direction, this study proposes and empirically validates a conceptual model after collecting data from 299 Indian consumers. Proposed hypotheses were tested by applying the structural equation modelling technique. Bootstrapping method was used for mediation testing.

The findings revealed that various attributes of OTR exert differential impacts on travel intention. The study also confirmed the mediating role of tourist trust in OTR.

This study offers significant practical implications for travel marketers. To capitalize on OTR, travel marketers are recommended to develop an effective and efficient online reviews management system. This will improve the quality, valence, quantity and consistency of OTR, which in turn will enhance tourist trust in OTR, leading to improved travel intention.

No empirical evidence has been traced on how OTR enhances tourist trust in OTR and their travel intention. In support of this, the present study proposes and empirically validates an extensive model to comprehend the role of various drivers of OTR in improving tourist trust in OTR, leading to enhanced travel intention based on the SOR model.

This paper aims to investigate the impacts of uncertain online reviews on product prices and profits of two competitive retailers.

First, the authors develop a game-theoretical model to determine the optimal product prices and profits considering uncertain online reviews. Afterwards, to examine the effects of the uncertain online reviews, they compare the equilibrium solutions with those of the game-theoretical models of deterministic online reviews and no online reviews, respectively.

Uncertain online reviews play a significant role in product price optimization and profit maximization. In the quality-dominates-fit case, both retailers will lower their product prices in response to the uncertain online reviews. And the uncertain online reviews would hurt the two retailers. Conversely, in the fit-dominates-quality case, the presence of uncertain online reviews will encourage both retailers to raise their product prices. And the two retailers can still benefit from the online reviews. With the increase in consumer uncertainty about online reviews, both retailers might raise their product prices, thus generating higher profits.

Managerially, the results indicate that in the quality-dominates-fit case, when consumers are uncertain about online reviews, it might be better for retailers to abandon the online review system; however, in the fit-dominates-quality case, both retailers could still benefit from the uncertain online reviews through product price optimization. Therefore, the presence of an online review system could be beneficial.

This paper develops a game-theoretical model to help competitive retailers optimize their price strategies and achieve profit maximization considering uncertain online reviews.