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Online reviews are increasingly available for a wide range of products and services in e-commerce. Most consumers rely heavily on online reviews when making purchase decisions, so an important topic is that of understanding what makes some online reviews helpful in the eyes of consumers. Researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, however, few studies have investigated how images in review content and the facial expressions of reviewers’ avatars influence the judgment of online review helpfulness. This study draws on self-construal theory, attribution theory and affect-as-information theory to empirically test a model of the interaction effects of images in review content and the facial expressions of reviewers’ avatars on online review helpfulness. Furthermore, the purpose of this paper is to identify an underlying mechanism of causal attribution toward store performance on the above effects.

This study conducted two online experiments. Study 1 is a 2 (images in review content: one person with a product vs a group of people with a product) ×2 (facial expression of the reviewer’s avatar: happy vs angry) between-subjects design. Study 2 is a 3 (image: product alone vs one person with a product vs a group of people with a product) ×2 (facial expression of the reviewer’s avatar: happy vs angry) ×3 (valence of the review: positive vs negative vs neutral) between-subjects design.

The results indicate that when consumers were exposed to a happy-looking avatar, they were likely to express higher perceptions of online review helpfulness in response to an image showing a group of people in a restaurant than they would for an image of one person in the same situation. In contrast, when consumers were exposed to an angry-looking avatar, their perceptions of online review helpfulness did not differ in response to images of either a group of people or of one person. Furthermore, cause attribution toward store performance mediated the interaction between images in content of reviews and the facial expression of a reviewer’s avatar on the perceptions of online review helpfulness.

The authors provide insights into how to develop guidelines on how online reviews should be written so that readers perceive them to be helpful, and how to design effective reward mechanisms for customer feedback.

Compared with previous studies, this study provides further contributions in three ways. First, it contributes to the literature on review content by showing which images in reviews are deemed to be helpful. Second, it extends previous findings from the literature relating to online peer reviews by demonstrating the importance of facial expressions in reviewers’ avatars (i.e. happy vs angry) when explaining helpfulness, rather than the strength of purchase intent. Third, this study contributes by further highlighting a novel mechanism which shows that a causal attribution toward store performance motivates the perceptions of online review helpfulness.

Many online review sites, such as TripAdivisor.com, encourage review posters to upload a profile photo to improve the perceived reliability of online reviews. This study aims to examine the roles of reviewer profile photos in the online review generation and consumption processes.

Data were collected via Amazon MTurk. Two experimental studies were conducted. Study 1 had a sample size of 106 respondents. In Study 1, this paper examined the role of a reviewer profile photo in the online review generation process. Study 2 had a sample size of 482 respondents. In Study 2, this paper examined the role of a reviewer profile photo in the online review consumption process under two different circumstances, namely, comprehensive and incomprehensive review text.

The findings show that reviewer profile photos play different roles when consumers generate online reviews versus when they consume reviews. In the review generation process, reviewers are more likely to upload a profile photo to improve the credibility of their reviews. On the other hand, in the review consumption process, reviewer profile photos do not contribute to an increase in the perceived review helpfulness.

If the readers have difficulty processing the review content, review profile photos play a critical role in determining perceived review helpfulness. This study provides both theoretical and managerial implications by indicating how reviewer profile photos play different roles in online review posting and consuming behavior.

Drawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated.

The review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model.

The results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful.

Using attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.

Experienced reviewers in general can produce high-quality product reviews, and thereby get more helpful votes. This paper explores the question that whether the depth and width of the reviewers' experience distribution have effects on the helpfulness of their reviews.

Adopting the restaurant review data from Yelp, the present paper classifies the restaurants in to different categories applying the Word2Vec technique, such as Asian or fast food. By evaluating the number of a user's historical reviews in a specific category, and the evenness of such distribution in different categories, the experience specialty and experience diversity are defined respectively.

The analysis shows that users specialised in a given category can produce more helpful reviews in that category. The users with diverse historical experience, i.e. have posted reviews for many categories, also can produce helpful reviews. In addition, the experience diversity shows a positive moderation effect on the influence of experience specialty. Thus, users with diverse experience while specialized in a particular category are the source of most helpful reviews.

While previous studies mostly consider the raw number of historical reviews as a reviewer's experience, we distinguish such experience by product category and focus on the width and depth of its distribution. The results not only shed lights on the mining of high-quality reviews and reviewers but also provide insights on the management of online review platforms and electronic marketing.

Avatars, which are used as a technology and marketing tactic, can embody consumer-facing employees and mimic their real-life roles on companies' websites, thereby playing a key role in enhancing the relationships between consumers and brands in the online environment. Academics and practitioners have increasingly acknowledged the significance of the consumer-brand relationship in both traditional and online contexts. However, the impersonal nature of the online environment is considered to be a hindrance to the development of these relationships. Despite the importance of this technology, little attention has been paid to the investigation of the avatar concept from a marketing perspective. This paper explores the nature of the avatar concept, including its main characteristics, dimensions, and conditions as well as the attitudinal and behavioural consequences of avatar users.

Adopting the qualitative design, a taxonomy was developed from interviews. In total, 42 interviews were conducted with current university students. 30 participants participated in the exploratory interviews. A total of 12 interviews were conducted during the in-depth stage based on findings in the preceding research.

Based on the qualitative data analysis, a taxonomy was developed. The idea of the taxonomy is summarized in that different dimensions of the avatar are considered the main base (first phase) of the taxonomy. There are consequential three parts: the attitudinal consequences related to the website; the attitudinal consequences related to the brand; the behaviours towards the brand. These behaviours represent the final phase of the taxonomy.

By developing a taxonomy of using avatars on brands' websites, the authors advance the understanding consumer-brands relationships. Using avatars' verbal interactions helps in shaping consumers' cognitive, affective, attitudinal and behavioural responses and add vital empirical evidence to the increasing body of research and practices involving avatar usage in the interactive marketing area.

Many educators are increasingly acquainting themselves and becoming adept with interactive technologies like augmented reality and virtual reality. Some of them are also looking forward to using Metaverse applications, as they want to benefit from its immersive three-dimensional capabilities. Therefore, the purpose of this study is to critically review the extant literature to investigate how, why, where and when the Metaverse can be used for educational purposes. This study also discusses opportunities, challenges and risks related to this disruptive technology.

A Preferred Reporting Items for Systematic Reviews and Meta-Analyses rigorous protocol is used to search, extract, scrutinize and synthesize content from high-impact articles focused on the use of the Metaverse technology in the realms of education. Afterwards, this study theorizes on the costs and benefits of using this interactive technology with students.

A number of researchers are already experimenting with virtual technologies that are very similar to the Metaverse, in different contexts. This research indicates that most students are lured by immersive multi-sensory three-dimensional environments as well as by virtual reality applications that could simulate real-life situations and provide engaging experiences with virtual representations of people, places and objects. On the other hand, this study reveals that educators ought to consider the potential pitfalls of the Metaverse, including privacy breaches and security risks, as well as possible addictions and the development of mental health issues, among others.

Students and educators can use the Metaverse to catapult themselves in a simulated digital universe that could reconfigure their sensory inputs, definitions of space, time and points of access to information. This research calls for the development of regulatory instruments, including sound principles, guidelines and procedures that are intended to safeguard and protect Metaverse users.

This contribution implies that there is scope for educators to continue developing the Metaverse’s virtual spaces to improve their students’ motivations, aptitudes and learning outcomes. This study clarifies that the use of the Metaverse in education can create infinite possibilities to enhance their knowledge, competences and abilities through its immersive applications. Yet this paper also raises awareness about possible challenges in the short term as well on other risks associated to the prolonged use of this captivating technology.

This study intended to identify and categorize the drivers of using online English learning resources (OELR) and to understand OELR's impacts.

The authors conducted an online survey, obtained complete responses from 157 OELR users and used structural equation modeling (SEM) for hypothesis testing.

Most utilitarian and hedonic drivers lead to positive perceptions of OELR, which in turn positively contribute to continuance intention (CI). Two counterintuitive findings were obtained. First, functionality was negatively related to the perception of ease of use. Second, perceived ease of use (PEOU) was not related to CI to use OELR.

This study has implications as follows: (1) complexity of the functions of OELR may deter rather than attract users, (2) ease of use of OELR is not directly positively related to CIs and (3) users may seek practical benefits (utilitarian) and experiential learning processes (hedonic) when using OELR.

The authors' study has theoretical significance by being the first to caution that excessive functionality or complexity in assisting learning tools would likely hinder further use of OELR. The practical significance of this finding is that the finding highlights two factors (perceived usefulness (PU) and perceived enjoyment) that could effectively increase OELR use.

The purpose of this paper is to use user-generated content (UGC) on social media platforms to infer the possible place brand identities of two famous metropolitan areas in Bangkok, Thailand, namely, Khaosan Road and Yaowarat (Bangkok’s Chinatown), both of which are famous for their street vendors and nightlife. These two places are interesting study sites because of recent identity conflicts among their stakeholders. The method developed in this research can help other places to better understand place brand identities and, as such, effectively plan for and manage those places.

The author used content analysis to study 782 user-generated images on Flickr and 9,633 user-generated textual reviews of Khaosan Road and Yaowarat from TripAdvisor and Google Maps’ Local Guide. MAXQDA was used to code all the images. User-generated textual reviews were studied using Leximancer. The author also introduced a positivity of concept analysis to identify positive and negative components of place brand identity.

The author developed a place brand identity framework that includes three pillars, namely, place physics, place practices and place personality. Content analysis of the images generated 105 codes and a count of the frequency of the codes that represent place brand identity. Content analysis of textual reviews created the concepts in the three pillars and identified the positive and negative concepts for both places. The results of both image and text analyses showed that street food vending is one of the most salient components of place brand identity for both Khaosan Road and Yaowarat.

The author suggested several place branding strategies for the Bangkok Metropolitan Administration such as turning Khaosan Road into a music scene for both visitors and locals, controlling excessive and aggressive commercialism, sponsoring the production of creative and authentic content, initiating a compelling online campaign that focusses on the items sold in Yaowarat, hosting a spotlight event such as a seafood festival and improving hygiene and walkability.

Both the advancement of digital technologies and the complexity of stakeholders create a need for empirical studies on place branding involving the participation of the widest possible range of stakeholders and studies on the influence of social media. This research is the first to use both image and text analyses to study place brand identity from UGC. The use of both analyses allows the two methods to complement one another while mitigating the weaknesses of each.

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.