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Online reviewers' identity information is an essential cue by which consumers judge reviews on ecommerce platforms. However, few studies have explored how prior anonymous reviews and focal reviews affect reviewers' preference for anonymity. The purpose of this paper is to investigate why reviewers seek anonymity in terms of prior anonymous reviews and focal reviews.

Based on restaurant reviews collected from meituan.com, one of the largest group-buying ecommerce platforms in China, this study employed logistic regression to examine how prior anonymous reviews and focal reviews are associated with reviewers' preference for anonymity.

Results show that the volume and sequence of prior anonymous review are positively associated with the likelihood of reviewers' preference for anonymity, whereas focal review valence is negatively correlated with this preference. Focal review length is positively correlated with reviewers' preference for anonymity but negatively moderates the roles of review valence and prior anonymous reviews on this preference.

This study expands the information disclosure literature by exploring determinants of user identity disclosure from a reviewer perspective. This research also offers a methodological contribution by employing a more accurate measure to calculate reviewers' preference for anonymity, enhancing the empirical results. Lastly, this work supplements the online review literature on how prior anonymous reviews and focal reviews are associated with reviewers' identity disclosure.

Online reviews are often likely to be socially influenced by prior reviews. This study aims to examine key review and reviewer characteristics which may influence the social influence process.

Restaurant review data from Yelp.com are analyzed using an ordered logit model and text mining approach.

This study reveals that prior average review rating exerts a positive influence on subsequent review ratings for the same restaurant, but the effect is attenuated by the variance in existing review ratings. Moreover, social influence is stronger for consumers who had a moderate dining experience or invested less cognitive effort in writing online reviews. Compared to reviewers classified by Yelp as “elite,” non-elite reviewers appear more susceptible to the social influence of prior average review rating.

This study provides guidelines for mitigating the social influence of prior reviews and improving the accuracy of online product/service ratings, which will eventually enhance business and the reputation of online review platforms.

The findings from this study contribute to the electronic word-of-mouth (eWOM) literature and social influence literature in terms of the bidirectional nature of social influence on eWOM.

This study aims to investigate how prior reviews posted by other consumers affect subsequent consumers’ evaluations and to what extent the review temporal distance can increase or reduce the social influence of prior reviews. In this study’s restaurant context, review temporal distance refers to the duration between dining time and review time of a dining experience.

The data of paired online restaurant reservations and reviews are analyzed using Ordered Logit Model. Two robustness checks are conducted to test the stability of the main estimation results.

The empirical results demonstrate that consumers’ restaurant evaluation is socially influenced by both the prior average review rating and number of prior reviews; review temporal distance has a direct negative effect on consumers’ restaurant evaluation; and review temporal distance increases the social influence of prior reviews.

This study suggests that online review matters. Both restaurants and the online review platforms should encourage consumers to share their experiences and post online reviews immediately after their consumption.

The study contributes to the literature on electronic word-of-mouth, social influence and psychological distance. First, the bi-directional nature of social influence on electronic word-of-mouth for experience-oriented product is documented. Second, for the first time, this study examines how review temporal distance could affect the social influence on consumers’ restaurant evaluation.

This study aims to conduct a thorough literature review to map current studies on international marketing capabilities (IMCs) applying dynamic capabilities view (DCV). The aim of this study is to increase the chances for more conceptual and terminological rigor in future research in this particular research area.

This is a systematic literature review following the established review process of reviews in leading (international) marketing journals. A multilevel analytical approach was adopted, combining inductive coding with deductive coding and following the logic of antecedents-phenomena-consequences.

Synthesis of 20 rigorously selected previous empirical studies on IMCs applying DCV reveals that academic interest in these capabilities is well justified and growing and there are some well researched antecedents to focal capabilities (e.g. inter-organizational capabilities, outside-in market orientation) as well as their prevalent consequences (e.g. export and innovation performance). There is little knowledge of moderators to these links, especially with regard to consequences. This review illustrates that the current research lacks consistency in how key constructs are defined and measured, provides the guide to future conceptualization and measurement of so-called International Dynamic Marketing Capabilities (IDMCs) and proposes some concrete research directions.

The authors extend prior research in the investigated topic by critically evaluating prior works, providing improved conceptualization of IDMCs as well as concrete research agenda for IDMCs structured along recommendations for Theory, Context and Methods (TCM framework).

This study is a systematic literature review (SLR) on prior research examining the impact of the nocturnal use of social media platforms on a user's sleep, its dimensions and its perceptually allied problems. This SLR aims to curate, assimilate and critically examine the empirical research in this domain.

Forty-five relevant studies identified from the Scopus and Web of Science (WoS) databases were analyzed to develop a comprehensive research profile, identify gaps in the current knowledge and delineate emergent research topics.

Prior research has narrowly focused on investigating the associations between specific aspects of social media use behavior and sleep dimensions. The findings suggest that previous studies are limited by research design and sampling issues. We highlight the imperative need to expand current research boundaries through a comprehensive framework that elucidates potential issues to be addressed in future research.

The findings have significant implications for clinicians, family members and educators concerning promoting appropriate social media use, especially during sleep latency.

With the growing online review manipulation and fake reviews in the hospitality industry, it is not uncommon that a consumer encounters disconfirmation when comparing the existing online reviews with his/her own product or service evaluation. The purpose of this study is to investigate the influence of review disconfirmation on customer online review writing behavior.

This study used a mixed-method combining online secondary big data modeling and experimental design.

Review disconfirmation influences customers’ emotional responses embedded in the review; a customer who encounters review disconfirmation tends to exert more reviewing effort, manifested by writing longer reviews; negativity bias exists in disconfirmation effects, in that negative review disconfirmation shows more significant and stronger effects than positive review disconfirmation.

Findings from this study provide important managerial implications for business owners and marketers who attempt to influence online reviews. The study suggests that fictitious online review manipulation might be detrimental to the business.

This research contributes to two literature streams, including research on the social influence of online consumer reviews, and the relationship between disconfirmation and consumers’ post-consumption behavior, by extending the influence of disconfirmation from the offline context to the online context.

Online reviews have become increasingly important and numerous studies have noted the effect of social factors on the review provision of users. The purpose of this study is to investigate how hometowner contributions, which are defined as prior reviews posted by users from the same city, affect the quality of reviews by focal users.

Based on the theories of competitive altruism, pure altruism and reciprocity, as well as several social influence theories, a conceptual framework is constructed to explain user contribution behavior. In addition, empirical models are established based on 831,737 reviews of 919 hotels on Tripadvisor.

The quality of reviews by hometowners can significantly motivate subsequent users to contribute high-quality reviews. This positive effect is stronger than the effect of previous contributions by non-hometowners. The effect of hometowner contribution is amplified in users with limited review-posting experience and/or in those from countries with a considerable cultural distance from the target destination.

This study provides the hospitality literature with new insights into the effect of social factors on the review provision of users in the context of online hotel review websites. The results also present numerous practical implications for online travel communities.

This study is an early attempt to analyze the effect of prior hometowner contributions on the subsequent contribution decisions of focal users. Thus, this study provides a satisfactory starting point for determining whether the review provision of focal users can be affected differently by prior contributions from their peers from different categories.

From the perspective of two-sided review systems, this study aims to investigate how guests’ prior reputation influences their subsequent satisfaction on Airbnb.

This study applied a conceptual framework based on social capital theory to explain the effect of guests’ reputation decided by hosts’ prior evaluations on their subsequent satisfaction. The authors collected 96,204 guest reviews posted for 17,325 properties on Airbnb and used the review polarity to measure guest satisfaction. All historical evaluations generated by hosts for each guest were collected and treated as a proxy of guest reputation. Ordinary least squares regressions were conducted to estimate the effect of guests’ reputation on their subsequent satisfaction.

Results show that guests whose historical evaluations have higher valences or larger variations tend to be more satisfied in their subsequent bookings. However, the number of reviews that guests received from hosts in the past does not influence their subsequent satisfaction.

This study provides new insights into the hospitality literature by identifying the influencing factors of guest satisfaction on peer-to-peer rental platforms from the perspective of two-sided review systems. Results also present practical implications to property owners and website designers to gain a deeper understanding of the determinants of guest satisfaction and the consequences of social interactions between hosts and guests.

This study is a novel attempt that analyzes the effect of guests’ reputation on their satisfaction with subsequent bookings based on two-sided review systems on peer-to-peer rental platforms. Thus, this study provides a starting point for investigating how two-sided review systems affect use behavior on peer-to-peer rental platforms.

The dynamic career scenario and the significant change from traditionally placing careers in employers’ hands to self-managing one’s careers have sparked profound scholarly interest in career growth. This paper aims to analyze quadricentennial literature on career growth published during the years 1995 through 2020. In this paper, through bibliometric and integrative reviews, the authors address the two critical questions, “what do we know?” and “where should we go?” While the bibliometric review examines the evolution and trends, the integrative review examines the dynamics of conceptual frameworks, primary research foci, research context and quality in research designs and methods.

The study adopted preferred reporting items for systematic reviews and meta-analyses guidelines to identify the papers for this review. The data set comprised 102 papers and 60 papers for bibliometric and integrative review, respectively. “CiteSpace” is used for the bibliometric analysis and the template designed by the authors is used for the integrative review.

The results present conceptual clarification for career growth and its related constructs. The bibliometric analysis findings highlight the extensive research on career growth followed by organizational career growth and career growth opportunities. The findings also show that seven of the top 10 productive authors are from China. This study also identifies theoretical, conceptual and methodological opportunities and provides recommendations intended to further research engagements across the different aspects of career growth.

To the best of the authors’ knowledge, this is the first study to introduce bibliometric analysis into career growth literature. This research adopts an integrative review approach and offers insights into career growth literature.

The purpose of the studies was to test if extent of prior social media activity could predict likelihood that a consumer would post reviews on a new review website.

Two online surveys were conducted presenting scenarios in which users were asked about prior social media activity, the number of social networks they belonged to in study one, and how actively they had posted reviews in study two. These questions were followed by descriptions of new review websites, a general local merchant review website in study one and a local restaurant review website in study two.

Although demographics did a poor job of predicting who would post reviews on the new review websites, prior active social media use and review posting did modestly predict intention to post reviews on the new review websites.

This is not an experimental study and so causality cannot be claimed. Descriptively, although the results were consistent in two studies using different stimuli, other factors might prove to be better predictors of active user‐generated content for other types of sites.

The findings suggest a simple and effective way for two‐sided platform managers to identify potential active reviewers so that they can target them through marketing strategies to encourage their essential participation and less‐active users can be similarly targeted to encourage modest use.

No other studies can be found that focus on this aspect of managing two‐sided platforms. The results might be important for managers of other similar websites that depend on user‐generated content for their value.