Quality Of Online Reviews Research Articles

Research on the Impact of Online Review Features on Hotel Customers’ Purchase Intention

With the rapid development of the Internet, online travel booking has gradually flourished and become an important form of tourism product trading. This paper builds a theoretical framework based on Stimulus-Organism-Response (SOR) model and perceived risk theory to analyze how the characteristics of online reviews affect potential consumers' purchase intention. In the theoretical framework of this paper, the characteristics of online reviews are taken as independent variables, including the content quality of online reviews, the prestige value of reviewers, the timeliness of reviews, the number of reviews, and the positive emotional tendency of reviews. The perceived risk of consumers is set as the intermediate variable. The purchase intention of potential consumers is set as the result variable. After data collection, SPSS was used to conduct reliability and validity analysis, correlation analysis, regression analysis and mediation effect test. The results show that the content quality of online reviews, the prestige value of reviewers, the timeliness of reviews, the number of reviews and the tendency of positive reviews have significant positive effects on the booking intention of potential consumers. Perceived risk plays a partial mediating role, and perceived risk negatively affects consumers' booking intention. Finally, the research results and gives suggestions to hotel managers were discussed.

How do online reviews moderate effects of country image on product image and purchase intention: cases of Korean and US products in Vietnam

PurposeThis paper examines the moderating effects of online reviews on the relationship between country image, product image, and purchase intention of products from two developed countries in Vietnam.Design/methodology/approachThis current research used a cross-sectional design. Data was collected via questionnaires, and 305 responses were left after refining. The collected data were analyzed using exploratory factor analysis, confirmatory factor analysis, structural equation modeling, and multi-group analysis methods.FindingsAffective country images do not directly affect purchase intention when online review quality and positivity are high. Cognitive country images still directly affect purchase intention when online review positiveness is low. However, online review quantity does not moderate the effects of country images on product images and purchase intention.Research limitations/implicationsCognitive country image consistently affects purchase intention through the central route independent of online reviews. In contrast, the affective country image will likely affect purchase intention through the peripheral route when online reviews are insufficient for customers.Practical implicationsFirms can mitigate the adverse effects of country image, especially cognitive country image, in foreign markets by improving online review quality and positiveness.Originality/valueOur study extended existing literature by providing a better understanding of the nature of country image and the roles of country image dimensions in shaping product image and purchase intention in the context of the increasing popularity of online reviews.

Research on content analysis and quality evaluation for online reviews of new energy vehicles

The development of China's new energy vehicle industry has been gradually transformed from past policy support to the survival of enterprises determined by the market, which forces the new energy vehicle industry to accelerate towards the market-oriented direction. We collected review data from online automotive forums and generated a corpus after pre-processing. Next, we extracted the statistical and topic semantic features of online reviews for new energy vehicles and clarified the quality evaluation indicators for online reviews. Then, the entropy weight-TOPSIS method was used to determine the indicators’ weights and assign values to the quality of online reviews. Finally, the quality scoring rules of online reviews were sorted out from multidimensional perspectives. The research results have shown that the statistical features and topic semantic features of online reviews on new energy vehicles can be used as evaluation indicators to construct a quality evaluation system. It was also found that the quality scores of lower-priced vehicle reviews tend to be consistent in different price groups, while the quality scores of mid-priced vehicle reviews are the most dispersed. The quality of online reviews varies significantly among other groups or models. The study results provide a simple criterion for consumers’ cognition of the value of online reviews. The results will enhance the ability of new energy vehicle companies to carry out online marketing with the help of online reviews and transform the purchase intention of potential consumers into actual purchase behavior.

The power of online reviews: Exploring information asymmetry and its impact on green product purchasing behavior

AbstractManufacturers must convey accurate information about their green products to gain consumer trust. However, some manufacturers provide misleading information by falsely claiming that their products fully adhere to green concepts. Consequently, research is needed to examine customer behaviors and how they respond to information about green products. This study models the relationship between green product information asymmetry, online review quality, the propensity to trust and adopt reviews, and green product purchasing behavior. The study participants were 479 consumers who purchased green products. Data for the study were collected through an online questionnaire that was distributed on social media platforms and analyzed using partial least squares structural equation modeling. The results show that information asymmetry positively affected online review quality, review adoption, and green product purchasing behavior, while online review quality positively affected participants' propensity to trust reviews, review adoption, and purchasing behavior. The propensity to trust reviews positively affected review adoption and purchasing behavior, and review adoption positively impacted green product purchases. These results show that information asymmetry highlights the importance of consumer reviews in green product purchasing behavior. Therefore, both information asymmetry and consumer reviews influence green‐product consumption. When constructing green marketing strategies, green product manufacturers must focus on a combination of perceived value and consumer trust and modify their products, production processes, packaging, and advertisements accordingly.

Buzz marketing: Examining the effect of online reviews on purchase consideration

Buzz marketing is a novel and interesting approach in the service industry that generates interest and excitement about a product or service through word-of-mouth promotion and viral marketing, rather than relying solely on traditional advertising methods. This study investigates the impact of online reviews on the sales of various products and services. To do this, a sample of 410 participants was drawn from a diverse group of customers living in Delhi and the National Capital Region of India. Both primary and secondary data collection methods were used to gather data, and a closed-ended questionnaire was administered to collect information. The study found that online review quality and reviewer characteristics significantly impact consumer attitudes and purchase intentions, with individual consumer characteristics acting as a negative moderator. These results have important implications for businesses looking to improve sales through online reviews. The originality and value of this study lies in its examination of the relationship between online reviews, review quality and reviewer characteristics on consumer attitudes and purchase intentions. By understanding these relationships, businesses can improve their online reputation and increase sales by focusing on high-quality reviews and maintaining the credibility and reputation of their reviewers.

What leads to online review helpfulness on e-commerce platform? Examining the moderating effect of high and low prices

Using signaling theory, this study unpacked the mechanisms through which online review information quality and reviewer information credibility influence online review helpfulness, in e-commerce context. Conducting a survey with users in Danang having read online reviews on Shopee.vn, 244 valid responses were used to evaluate the research model via PLS-SEM software. The study found that the information quality of online reviews strongly influences the helpfulness of online reviews compared to the information credibility of previous reviewers. Additionally, priced goods have a moderating effect on the relationship between online information credibility and online reviews helpfulness; and that relationship will be significant in high-priced products. This study makes a theoretical contribution to online reviews by elucidating the mechanisms of impact of review/reviewer information on reviews helpfulness and the moderating effect of product prices.

The Effects of Linguistic Coordination on Perceived Quality of Consumer Reviews: A Dual Process Perspective

Online consumer reviews, as a major source of information and influence, are of great interest to marketing researchers and practitioners. This study investigates the effects of linguistic coordination on perceived review quality. Drawing on the elaboration likelihood model, the authors theorize that two types of linguistic coordination—topic matching (semantic component) and language style matching (lexical component)—have profound effects on perceived review quality. Utilizing natural language processing tools and a novel clustering technique to measure matching, empirical analyses based on an IMDb data set support the positive direct effects of both types of matching. Moreover, the authors find that there is a negative interaction between topic matching and language style matching in affecting perceived review quality. The findings contribute to the understanding of online review quality, and the application of natural language processing enriches the methodological tool kit available to researchers.

Exploring the antecedents for hospitality reviewers’ trustworthiness and its impact on business patronage

Although extant literature on online reviews in the hospitality industry has adequately covered the area of helpfulness, trustworthiness, and quality of online reviews, the trustworthiness of the reviewer has remained largely ignored. In particular, the antecedents of the reviewer’s trustworthiness and its influence on business outcomes have not been researched in detail. Using social credibility theory and social information theory, a framework for reviewers’ trustworthiness was developed and validated with the profile and review information of 143812 reviewers. Further, with data from 11776 businesses, we explore how reviewer trustworthiness interacts with business reputation while contributing to business patronage. A mixed method approach containing the text mining of qualitative analysis followed by PLS-SEM has been used in the analysis. The paper contributes to source-credibility literature in the context of online reviews and helps review managers identify trustworthy reviewers and measure their business impact. The paper is the first one that considered both qualitative and quantitative information while finding the antecedents and consequences of reviewer trustworthiness.

Fake review identification and utility evaluation model using machine learning.

Due to the structural growth of e-commerce platforms, the frequency of exchange of opinions and the number of online reviews of platform participants related to products are increasing. However, given the growth of fake reviews, the corresponding growth in the quality of online reviews seems to be slow, at best. The number of cases of harm to retailers and customers caused by malicious false reviews is steadily increasing every year. In this context, it is becoming difficult for users to determine useful reviews amid a flood of information. As a result, the intrinsic value of online reviews that reduce uncertainty in pre-purchase decisions is blurred, and e-commerce platforms are on the verge of losing credibility and traffic. Through this study, we intend to present solutions related to review filtering and classification by constructing a model for judging the authenticity and usefulness of online reviews using machine learning.

제품 온라인 리뷰에 대한 고객의 지각역량이 유용성과 신뢰 및 구매의도에 미치는 영향

This study examines the effect of customers' capability of online product reviews and trust, usefulness, and purchase intention for consumers using e-commerce.
 To this end, using the elaboration possibility model, the theories of central cues and peripheral cues, trust, usefulness, and purchase intention were explained as customer' perceived cabilities, and the relationship between them was verified theoretically and empirically. The proposed research model and developed hypotheses were tested using structural equations modeling based on data collected from 306 customers with experience in e-commerce.
 The results of the study confirm first, the central clue derived a positive (+) effect on usefulness and trust. Second, peripheral cues derived positive (+) effects on usefulness and trust. Last, usefulness and trust derived a positive (+) effect on intention to use.
 The study provides On a theoretical level valuable insights into the consumer's capability that are the base for judging the quality of online reviews in research related to online reviews, which is increasing in recent years. On a practical level, this study has the following implications. Businesses can help consumers check online reviews.but there is also a limitation that the is demographic limited.

Infusing new insights: How do review novelty and inconsistency shape the usefulness of online travel reviews?

Review usefulness represents a vital indicator for evaluating the quality of online reviews in the tourism industry, and various heuristic cues have been recognized as determinants of this indicator. This study constructs a comprehensive conceptual framework based on the heuristic-systematic model to observe how two systematic cues, namely, review novelty and inconsistency, shape the perceived usefulness of reviews. Through an empirical analysis based on 1,744,693 reviews of 62,543 restaurants in the United States, we unveil a positive effect of review novelty on review usefulness but a negative effect of review inconsistency. We also underscore the moderating effects of several heuristic cues in the model, including review valence, reviewer expertise, and restaurant popularity. These results indicate that systematic and heuristic cues simultaneously and interactively determine review usefulness. The findings present theoretical implications to the literature and practical implications to hospitality professionals and designers/managers of review platforms.

The influence of online customer reviews on the purchase decision process for handmade products

Studying the behavior of consumers of various goods and services in the offline and online environment is a necessary element of an effective business in any field. Consumer behavior studies provide insight into how the process of making a decision to purchase a product takes place, and also allows you to identify the tools of influence on consumers on the part of manufacturers and sellers. The author presents a review of the literature on the influence of online reviews on customer behavior, and the author also conducted a study to clarify the presence and level of influence of online customer reviews on the purchase decision process for handmade products. Based on the analysis of the literature, the article identifies the factors of online customer reviews that influence the purchase decision process for handmade products: the quality of online customer reviews, the characteristics of online customer reviews and the number of online customer reviews. The quality of online customer reviews is determined by relevance, reliability, understandability, sufficiency, number of words in the online review, usefulness of the online reviews, and enjoyment of the online reviews. The characteristics of online customer reviews are determined by the text, images and rating in the online customer review. The results of the study showed that online reviews, among other sources of information, are considered quite reliable by buyers, online reviews have an impact on the purchase decision process for handmade products. Among the online review quality metrics, the perceived reliability of an online review, the number of words in an online review, and the perceived usefulness of an online review have the biggest impact on the purchase decision process for handmade products. Among the specific characteristics of an online review, the images in the online review are the most influential. The number of online reviews is also one of the important factors influencing the purchase decision process for handmade products. The results obtained are important for developing directions for improving the marketing tools of the master of handmade products.

Decision analysis and coordination of dual supply chain with retailer's offline return service and online reviews

Based on the centralized and decentralized decision‐making cases, this study constructs a dual‐channel supply chain game model that considers offline return service and online reviews, and explores the pricing decisions and benefits of supply chains under the dual influence of return service level and online reviews. The impact of return rate, return service level and perceived quality of online reviews on optimal supply chain decisions and profits are further analyzed. Finally, considering the phenomenon of double marginalization in the supply chain, this study coordinates the supply chain based on the benefit‐sharing contract coordination model to achieve Pareto improvement. The research shows that: The manufacturer's optimal wholesale price, the optimal online selling price and the retailer's optimal offline price are positively correlated with the perceived quality of online reviews and the level of return service. Compared with the return service level, the perceived quality of online reviews has a greater impact on the overall profit of the supply chain. Under the dual influence of the perceived quality of online reviews and the level of return service, the supply chain profit in the centralized model is better than that in the decentralized model. The coordination model can effectively coordinate the supply chain. Moreover, when the sharing ratio of manufacturers is obviously lower than that of retailers, the coordination effect is better at this time.

숙박 앱에서 온라인 리뷰품질이 구매결정에 미치는 영향

The purpose of this study is to examine the casual relationships among quality of online reviews, perceived value, perceived risk, and purchase decisions. Many consumers consult online reviews before making travel arrangements. Due to the experiential nature of travel-related products, online reviews have become an increasingly popular information source in travel planning and have a profound effect on consumers’ buying decisions, particularly in Lodging booking. This study employed a questionnaire survey to test the hypotheses. In order to empirically analyze this, based on the survey responses of 274 consumers, we analyzed the data using SPSS 24.0 and AMOS 21.0. The results of this study are as follows.<BR> First, quality of online reviews was positively related to perceived value and purchase decisions. Second, perceived value was positively related to purchase decisions. Third, quality of online reviews was negatively related to perceived risk. Fourth, one of the significant finding was that the link between quality of online reviews and purchase decisions mediated by a singular mediator of perceived value. <BR> Finally, the summary, implications and limitations of the results with the future tasks were suggested.

Research on Extraction of Useful Tourism Online Reviews Based on Multimodal Feature Fusion

To effectively identify the influencing factors of the perceived usefulness of multimodal data in online reviews of tourism products, this article explores the optimization method of online tourism products based on user-generated content and conducts feature fusion of multimodal data in online reviews of tourism products from the perspective of data fusion analysis. Therefore, based on the word vector model, this article proposes a method to select the seed word set of emotion dictionary. In this method, emotional words are represented in vector form and the distance between word vectors is calculated to form the selection criteria and classification basis of seed word set, and then the sentiment dictionary of online review is formed by category judgment. This article takes the real online review data of tourism products as the research object, carries out descriptive statistical analysis, uses machine learning and deep learning methods, carries out text vector embedding and image content recognition, integrates image and text feature vector, constructs multimodal online review usefulness classification model, and conducts model test. The experimental results show that, compared with the single-mode reviews containing only text or pictures, the multimodal reviews combined with text and pictures can better predict the usefulness of online reviews, improve the quality of online reviews, give full play to the potential value of user-generated content, provide optimization ideas for product providers, and provide decision support for product consumers.

Online Reviews in a Major City: Who Will Choose You?

A large factor influencing a patient's choice of aesthetic plastic surgeons is online patient reviews. Plastic surgeons whose practices are located in counties within the New York metro area were included. Selected surgeons were divided into private and academic surgeons (defined as having a residency program). For each surgeon, the quantity and quality of their Google reviews were collected. A total of 145 aesthetic surgeons from the New York area were included in the study, both private (n = 126) and academic (n = 19). Given the small size of the latter cohort, 19 private aesthetic surgeons were randomly selected, and compared with the academic surgeons, it was shown that private surgeons had both higher average quality and quantity of online patient Google reviews (confidence interval, 95%; P = 0.0223). Similar results were found when comparing all private American Society for Aesthetic Plastic Surgery (ASAPS) surgeons (n = 126) with all academic ASAPS surgeons (n = 19); private ASAPS surgeons had a higher average rating and number of reviews when compared with academic surgeons, again representing a statistically significant difference for the quality of online reviews between private and academic surgeons (confidence interval, 95%; P = 0.031975). There is a statistically significant difference in both the quality and quantity of online ratings for private and academic aesthetic surgeons.

Customer Online Feedback with an Identity Versus No Identity: The Influence on Review Comments

As customers’ consumption is increasingly dominated by technology-driven systems, online self-verification becomes an important aspect of customers’ online purchasing behavior and plays a significant role in shaping social interactions in the online community. Across two studies, we examine whether online self-verification with an identity versus without an identity will lead to the different quality of online reviews. Study 1 used topic modeling with actual data stripped from Facebook and TripAdvisor customer online review sites and showed no difference between customer reviews underpinned with an identity or without. Likewise, Study 2 used an experimental design and found no significant difference between customer reviews with or without an identity. However, significant mediation effects of social ties and social capital were found when measuring the relationship between online self-verification and customer reviews. The findings build on the literature of user-generated online reviews and have important implications for academics and hospitality practitioners.

An Examination of the Data Quality of Online Reviews

This research synthesizes the information systems and marketing research by considering the usefulness of online product reviews in the context of Wang and Strong's Data Quality Framework. It examines the extent to which a review's intrinsic (review anonymity and use of personal pronouns), contextual (review length, verified purchase, rating, and rating extremity), and representational quality (spelling errors, grammar errors, readability) impact the perceived usefulness of a product review. The examination of Amazon reviews for an inexpensive experience product revealed number of words, verified purchase, and grammar errors have a significant positive impact on review usefulness. Rating and number of spelling errors have a negative effect, suggesting consumers use some discernment in assessing the believably of a review. Surprisingly, the opposite effect was found for grammar errors, with more grammar errors being associated with a more useful review.

A influência da percepção de utilidade de avaliações online na intenção de compra de serviços de hotelaria

&#x0D; &#x0D; &#x0D; &#x0D; O crescimento da internet facilitou a interconectividade dos consumidores por meio de fóruns online que permitem os consumidores a gerar conteúdo e influenciar os outros em suas decisões de compra. O objetivo desta pesquisa foi identificar a influência da percepção de utilidade das avaliações online na intenção de compra de serviços de hotelaria. Utilizou-se de abordagem quantitativa, onde foram aplicados questionários junto a consumidores que usam avaliações online para reserva de hospedagens, e os dados foram analisados por meio de modelagem de equações estruturais. Os resultados mostraram a influência direta da percepção de utilidade da informação na intenção de compra, sendo que os construtos antecessores, descritos como necessidade da informação, credibilidade da informação e qualidade da informação, apresentaram impacto positivo e significativo na percepção de utilidade das avaliações online. Comparando esses resultados com pesquisa realizada por Erkan e Evans (2016) com consumidores do Reino Unido que se utilizam de midas sociais para decisão sobre suas compras, neste estudo a credibilidade da informação mostrou-se mais relevante em relação à qualidade da informação, evidenciando um comportamento mais cético dos consumidores brasileiros. Os resultados encontrados merecem atenção dos profissionais que gerenciam o marketing digital das organizações inseridas nesse ambiente, principalmente em relação a importância da gestão da credibilidade e da qualidade das avaliações online na intenção de compra de serviços de hotelaria, sendo esta uma contribuição prática resultante da pesquisa.&#x0D; &#x0D; &#x0D; &#x0D;

What influences online reviews’ perceived information quality?

PurposeOnline reviews presented in the format of multimedia information, such as pictures and videos, continue to emerge, but whether the richness of multimedia information can enforce the quality of online reviews has remained uncertain. The purpose of this paper is to examine the differences in the perceived information quality of online reviews, based on the information richness theory, emotional polarity and product type.Design/methodology/approachThis is a Web-based experiment in which 12 groups constructed at different levels of these three factors were designed for the purpose of obtaining data.FindingsThe study results show that under different positive and negative emotional polarities, different information richness and product types have different effects on perceived information quality; for different product types, positive and negative emotional polarity have different effects on perceived information quality. For “search” products, the perceived information quality of online reviews with low information richness is high; under different information richness, different emotional polarity and product types have different effects on perceived information quality.Practical implicationsThis paper has important practical significance for the management of e-commerce platforms for online reviews.Originality/valueThis paper on the perceived information quality of online reviews puts more focus on the formal features of online reviews and aims to discover the relationships between different directions for perceived information quality under the impact of interaction of formats, emotional polarity and product type. The study hopes to further strengthen the application of the information richness theory in the field of online reviews research and to measure perceived information quality from a variety of aspects.