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The purpose of this study is to empirically examine the effects of the numerical cues (NC) used in online review comments on perceived review helpfulness and the underlying psychological mechanisms.

An experimental design approach was employed to investigate the proposed research questions. Two experiments were conducted to test the hypotheses. Mplus 7 and Stata 14.0 were used for data analysis.

Empirical findings support the positive correlation between the presence of NC in online review comments and perceived review helpfulness across different product categories. This relationship is mediated by two psychological responses of consumers: cognitive elaboration and credibility perception.

This research adds to the existing literature by focusing on the value of NC in online review comments and how they can enhance perceived review helpfulness. Some practical implications are also addressed. For example, marketers can encourage consumers to post reviews that contain quantitative information to facilitate their target markets' comprehension of a product or brand.

Building on the previous literature, the work adds incremental knowledge on the role NC in online review comments play in affecting consumers' perceptions. In addition, the research uncovers the underlying psychological responses that mediate the relationship between NC in review comments and perceived review helpfulness.

The purpose of this paper is to reveal a symbol – “however” that authors are very interested in, but few research studies pay attention to the existing literature. The authors aim to further insight its function.

In this research, the authors selected 3,329 valid comments on articles published in the British Medical Journal (BMJ) from 2015 to 2020 as the research objects. The authors showed the length distribution of reviewers' comments. In what follows, the authors analyzed the general distribution of words in comments and reviewer comments’ position to understand reviewers' comments qualitatively in word dimension. Specially, the authors analyzed functions of “however” and “but”, words that authors are most concerned with. In addition, the authors also discussed some factors, which may be related to “however,” that reflect reviewers' praise through regression analysis.

The authors found that there are marked differences in the length of reviewers' comments under different review rounds. By mapping the reviewers' comments to different sections, the authors found that reviewers are deeply concerned to methods section. Adjectives and adverbs in comments written in different sections of the manuscripts also have different characteristics. The authors tried to interpret the turning function of “however” in scientific communication. Its frequency of use is related to reviewers' identities, specifically academic status. More precisely, junior researchers use “however” in praise more frequently than senior researchers do.

The linguistic feature and function of “however” and “but” in the reviewers' comments of the rejected manuscripts may be different from accepted papers and also worth exploring. Regrettably, the authors cannot obtain the peer review comments of rejected manuscripts. This point may limit the conclusion of the investigation of this article.

Overall, the survey results revealed some language features of reviewers' comments, which could provide a basis of future endeavors for many reviewers in open peer review (OPR) field. Specially, the authors also put forward an interesting symbol to examine the review comments, “however”, for the first time.

The purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews.

Using 2,851 hotel comment card (HCC) reviews, this paper manually labeled positive and negative comments with seven aspects (dining, cleanliness, service, entertainment, price, public, room) that emerged from the content of said reviews. After text preprocessing (tokenization, eliminating punctuation, stemming, etc.), two classifier models were created for predicting the reviews’ sentiments and aspects. Thus, an aggregate rating scale was generated using these two classifier models to determine overall rating values.

A new algorithm, Comment Rate (CRate), based on supervised learning, is proposed. The results are compared with another review-rating algorithm called location based social matrix factorization (LBSMF) to check the consistency of the proposed algorithm. It is seen that the proposed algorithm can predict the sentiments better than LBSMF. The performance evaluation is performed on a real data set, and the results indicate that the CRate algorithm truly predicts the overall rating with ratio 80.27%. In addition, the CRate algorithm can generate an overall rating prediction scale for hotel management to automatically analyze customer reviews and understand the sentiment thereof.

The review data were only collected from a resort hotel during a limited period. Therefore, this paper cannot explore the effect of independent variables on the dependent variable in context of larger period.

This paper provides a novel overall rating prediction technique allowing hotel management to improve their operations. With this feature, hotel management can evaluate guest feedback through HCCs more effectively and quickly. In this way, the hotel management will be able to identify those service areas that need to be developed faster and more effectively. In addition, this review rating prediction approach can be applied to customer reviews posted via online platforms for detecting review and rating reliability.

Manually analyzing textual information is time-consuming and can lead to measurement errors. Therefore, the primary contribution of this study is that although comment cards do not have rating values, the proposed CRate algorithm can predict the overall rating and understand the sentiment of the reviews in question.

The broad goal of the study is to determine how travelers communicate in the cyberspace in relation to their positive and negative experiences they had when staying in a particular hotel. Further goals of this study include identifying the main themes that motivate consumers to evaluate hotel experiences in online environments and categorize the most frequently mentioned areas in the online hotel reviews.

Content analysis techniques were applied by using the software tool NVivo 8 in order to analyze comments extracted using an automated web spider. The spider extracted qualitative data in the form of reviews and comments and quantitative data in the form of demographic information and ratings. The reviews were considered as a primary data for analysis, these reviews portrayed both positive and negative experiences. During this process, the spider collected data on 3,124 hotels and 17,357 traveler reviews from the TripAdvisor site.

By reviewing and understanding traveler comments of their hotel experiences, managers could gain knowledge concerning which element influence to form a positive brand image. Cleanliness of the hotel generally is a common concern in traveler's expectations. Words about deficiency of cleanliness (dirty) appeared more regularly when travelers write negative reviews about the hotel. Travelers showed to be more likely to write positive reviews of hotels with convenient location to good areas such as attractions, shopping, airports, and restaurants. The data in this research shows that travelers can be positively influenced by quality of service received a friendly and well trained staff. When travelers are pleased with the quality of human contact offerings of a well‐trained employee, they tend to feel more satisfied and to form a positive brand image that it is translated into a positive review.

Limitations could be listed using a relatively small sample size, and a relatively limited geographical capacity. Future studies are advised to include bigger sample sizes and also advised to explore a diverse pool of geographical.

The study identifies the possible areas that hoteliers need to pay close attention to improve service. Further, it is one of the first studies in hospitality that highlights strategies to create and reinforce brand image by using online reviews.

The emergence of social media has provided an alternative mechanism for students to provide and access online reviews about universities. These forms of feedback are often not systematically monitored and interpreted by universities. The purpose of this paper is to analyse quantitative ratings and qualitative comments provided by students via Google reviews of 40 Australian universities. The qualitative comments were analysed via thematic coding which identified four key themes including quality of teaching, course design, learning environment and administrative support. The data were also subjected to automated content analysis using the text analytics software Leximancer to enhance the objectivity and reliability of findings.

The study involved the extraction of quantitative ratings as well as qualitative comments from Google reviews of 40 Australian universities. Each university was searched on Google and their rating and comments were collected as of August 2019. The qualitative data were included in an Excel spreadsheet along with the name of the universities, and their quantitative ratings. Using thematic coding techniques, the qualitative data were manually coded into four themes: quality of teaching, course design, learning environment and administrative support. Furthermore, the qualitative comments were grouped into two categories: positive comments and negative comments.

The paper argues the need for universities to actively monitor these new forms of student feedback which have provided autonomy and freedom for students and other stakeholders to access and provide 24/7 feedback. The study found common themes emerging from the positive and negative student comments related to: quality of teaching, course design, learning environments and administrative support. These aspects contributed to the students’ satisfaction levels when they reflected on their educational experience on Google reviews. The study also found that institutions with high numbers of negative comments tend to have lower ratings compared to those with positive comments.

The study did not use other learning analytic tools to measure and assess the feedback from students using social media and other forms of feedback.

Many studies have been undertaken on student experience. Studies have focussed on the experience of home and international students, on-campus and online students, and students from various underrepresented backgrounds. So far no study has been undertaken on the reviews provided by students using Google reviews.

The purpose of this paper is twofold, first, to discuss the current and future issues around post-publication open peer review. Second, to highlight some of the main protagonists and platforms that encourages open peer review, pre-and post-publication.

The first part of the paper aims to discuss the facilitators and barriers that will enable and prevent academics engaging with the new and established platforms of scholarly communication and review. These issues are covered with the intention of proposing further dialogue within the academic community that ultimately address researchers’ concerns, whilst continuing to nurture a progressive approach to scholarly communication and review. The paper will continue to look at the prominent open post-publication platforms and tools and discuss whether in the future it will become a standard model.

The paper identifies several problems, not exclusive to open peer review that could inhibit academics from being open with their reviews and comments of other’s research. Whilst identifies opportunities to be had by embracing a new era of academic openness.

The paper summarises key platforms and arguments for open peer review and will be of interest to researchers in different disciplines as well as the wider academic community wanting to know more about scholarly communications and measurement.

This paper looks at many of the new platforms that have been previously ignored and discusses issues relating to open peer review that have only been touched on in brief by other published research.

The purpose of this paper is to look at product reviews from a cross‐cultural perspective. Product reviews are potentially an influential form of marketing communication, as well as a predictor of sales performance. With Hofstede's typology as a backdrop, the basic proposition of this study is that collectivistic cultural values place more emphasis on giving face to others, even in impersonal social environments, resulting in them giving more positive product reviews than their individualistic counterparts.

The paper uses content analysis of Chinese and American computer game reviews to test the hypotheses.

The results showed that Chinese reviews use fewer negative comments and give higher final ratings for the same set of products than their American counterparts. In addition, Chinese reviews showed a lower consistency between their evaluative comments and their final ratings. Also confirmed is a common belief that final ratings are a summary of the evaluative comments of the review‐texts.

Future research is invited.

Theoretically, the study refines the understanding of differences between individualistic and collectivistic cultures. Practically, it is suggested that if consumers' cultural values are reflected in product reviews, international marketers should weigh and balance possible cultural bias when they decode evaluations of their products from reviews published in other countries' media.

Product reviews are a rich but ignored resource with high marketing value. It is hoped that the study can stimulate both marketing researchers and practitioners to make better use of product reviews to further understand marketing phenomena and make better marketing decisions.

The purpose of this study is to examine how the usage of mobile devices influences text-posting behavior in the online review-generation process. This study attempts to improve the understanding of the negative impacts of mobile channels on the quality of online reviews.

The authors develop a series of hypotheses to investigate the text-posting behaviors with mobile device usage. To examine the authors' hypotheses, the authors collect online reviews posted in London hotels on Booking.com. The authors first use a logistic regression model to examine the relationship between the usage of mobile devices and text-posting behavior. Then, the authors explored the characteristics of textual content in mobile reviews compared to reviews written via traditional devices.

The authors' finding shows that the use of mobile devices negatively influences text-posting behavior. Compared to traditional devices, consumers are less likely to post texts in their reviews with mobile devices. Although consumers decide to post text comments in consumers' reviews, the quality of textual content is relatively low – short in length, with limited analytical thinking and less authenticity.

To the best of the authors' knowledge, no study has attempted to explore text generation in review-posting behaviors in the context of mobile channels. Also, the authors' findings show the negative effects of using mobile channels on the value of generated information, which is counterintuitive to previous research.

This study investigates the influence of the Securities and Exchange Commission (SEC) on the interpretation and application of International Financial Reporting Standards (IFRS) by examining a group of SEC-selected foreign private issuers filing 2005 annual reports in the USA and reporting using IFRS for the first time.

This paper uses hand-collected information from SEC comment letters to analyze IFRS topics and documents the ultimate resolution of each SEC comment (no change to filing, current change to filing or prospective change to future filing). The authors use descriptive statistical analyses, as well as a logistic regression model involving the resolution of each SEC comment, to examine the SEC’s influence on the interpretation of IFRS.

The study finds both higher comment totals, and higher numbers of required filing modifications, for those IFRS pronouncements which were identified as needing improvement during the 2006-2008 convergence efforts by the International Accounting Standards Board (IASB) and the US Financial Accounting Standards Board (FASB). Additionally, the study documents a decreasing likelihood of a filing modification when US generally accepted accounting principles (US GAAP) guidance is referenced in comment letter correspondence involving IFRS topics.

The study extends the IFRS literature and the SEC comment letter literature by focusing on the resolution of comments directed at IFRS disclosures, as well as exploring the factors which influence whether a comment ultimately requires a filing modification.

Social comments are rich in information and useful in evaluating, ranking or retrieving different kinds of materials. However, their merits in representing or providing added values to scientific articles have not yet been studied. Therefore, the present study investigates the informativeness of open review reports as a kind of social comments in a scholarly setting.

A test collection was built consisting of 100 randomly selected queries, 1,962 reviewed documents and their reviewers' open reports from F1000Research. They were analyzed using natural language techniques. The comments' salient words were compared to the documents' and also to the Medical Subject Headings (MeSH) salient words. The receiver operating characteristic (ROC) curve was used to test the accuracy of the comments in representing their related articles.

The papers' contents and comments have a considerable number of salient words in common. The comments' salient words are also largely found in the MeSH, signifying their consistency with the knowledge tree and their potential to add some complementary features to their related items. The ROC curves confirm the accuracy of the comments in retrieving their related papers.

This research is the first to reveal the merits of open review reports on scientific papers, in terms of their relatedness to their mother articles, in specific, and to the knowledge tree, in general. They are found informative in not only representing the reviewed papers but also in adding values to the contents of the papers.