Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category

Online reviews, which significantly influence product sales, have been a central research topic in the field of marketing. Meanwhile, some motivating factors related to online retailers have been linked to product sales. While several articles have examined the impact between online reviews and motivating factors on product sales, many of the conclusions drawn are contradictory. From 28 studies focusing on online reviews and sales, this study performs a meta-analysis to analyze the true impacts of six review-related factors (i.e., the number of reviews, star ratings, standard deviation of ratings, helpfulness, review length and sentiment), and two motivating factors (i.e., price discounts and special shipping) on product sales. Meanwhile, this paper also studies how one product-related factor (i.e., product age) and one reviewer-related factor (i.e., reviewer's reputation) influence the relationship between online reviews and product sales. In addition, to study the moderating effect of product category, we divide the selected literature into two subgroups which are search and experience products. The results indicate that only review length and special shipping have no significant impact on product sales, while product category has a valid and specific moderating effect on the relationship between these determinants and sales. The presented conclusions will have important implications for academic research and for future industry practice.     

The investigation on dimensions of e-satisfaction for online shoes retailing

Purpose—Online retailing has become a standard component in companies' multi-channel structure. This trend also involves an increasing number of experience attribute dominated products, which traditionally rely on brick-and-mortar retailers. These manufacturers have started to open their own online retail stores. This study identifies the key determinants of e-satisfaction at different stages of shoes online shopping process.Design/methodology/approach—We collect consumers' reviews about their online shopping experiences from online review websites. We use both qualitative and quantitative approaches to analyze the dataset, and investigate the complete process of consumers' e-tailing experiences.Findings—this research identifies the two key factors driving e-satisfaction of purchasing experience attribute dominated products online: product selection and customer service. In particular, our findings show that product selection is critical for e-satisfaction in the pre-purchase stage, and that customer service is more important in the post-purchase stage. Lastly, the study finds that manufacturers' websites often receive more negative reviews because of their poor service recovery strategies in the post-purchase period.Research limitations/implications—This study emphasizes the importance of adopting a dynamic approach by considering various stages of the consumer's online shopping experience. This study focuses on one specific experience good; the shoe industry.Practical implications—The results of this study are invaluable to firms interested in providing experience attribute dominated products online. Our findings indicate that product selection and especially post-purchase service are critical for a successful e-tailing.Originality/value—This paper emphasizes the importance of taking a dynamic view to investigate consumer's e-tailing experience. We adopt both qualitative and quantitative approaches in our study.     

体验型产品在线评论与消费意愿及销量的关系——以价格为调节变量

随着网络在线交易的迅猛发展,在线评论等网络口碑传播的重要性日益凸显。以体验型产品为研究对象,以信号理论和"刺激-反应"理论为指导,建立"在线评论-消费意愿-在线销量"模型分析三个要素之间的关系机理,并采用中介效应检验和调节效应检验进行验证,结果显示:在线评论作为一种信息刺激,其数量对体验型产品在线销量具有显著的正向影响,但在线评论质量效价评分对体验型产品在线销量的影响不显著,这与产品的类型有关;在线评论一是直接对在线销量产生影响,一是通过中介变量(即作为消费意愿替代变量的收藏量)传递影响,对在线销量产生作用;商品价格在在线评论和在线销量的直接和间接关系中都起到了正向调节作用,这与体验型产品交易过程中价格质量信号功能强于促销功能有关。实践中,企业可通过一些激励设计提高消费者在线评论参与度;进行更加科学化的网页设计,完善收藏功能,以方便消费者进行筛选和比较;注意防止盲目降价行为给消费者带来的负面影响,发挥好价格的信号作用。     

How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform

With rapid economic growth largely fueled by digital technologies, online reviews are among the new wave of technologies that still make a significant contribution to this new digital economy. However, there is scarce academic research in promoting or responding online reviews using reduction coupons with threshold issued by sellers and pricing decisions. We employ a three-stage least squares (3SLS) model to estimate the effects of online reviews and coupons on online product sales and price. We also extend our research using the data of two product categories. Our results mainly include: (1) Negative impact of negative online reviews on sales is moderated by price, and consumers are more tolerant of negative reviews of high-priced products. (2) Consumers' perceived usefulness of online coupons helps promote more sales and weaken the relationship between negative reviews and sales. (3) Positive online reviews weaken the negative relationship between online negative reviews and the price of product. (4) Consumers’ increased perceived usefulness of online coupons will encourage sellers to set a higher price and weaken the negative relationship between negative reviews and the price of product. (5) Compared with the search product, sellers regard negative reviews from the product with experience attributes as less helpful and apply less effective coupon promotion to response to negative reviews. Our study clarifies the interaction between online reviews and online coupons on e-commerce platforms under the operation scenario. We also provide empirical support for accurate promotion and higher sales revenue through reasonable pricing decisions and specified reduction coupons.     

Does online observational learning matter? Empirical evidence from panel data

The information presented on a product sales page plays an important role in consumers' purchase decisions. This study examines the persuasive effect, whether a customer's choice is heavily driven by information inferred from others' behavior, and how these impacts are moderated by market age and product type. Results show that online customer choice was significantly affected by historical cumulative sales and times saved. Positive cumulative sales and shop service quality have a significant positive impact on product sales. The times saved have no direct impact on product sales. For different types of products, the times saved of experiential products has a significant impact on product sales, while the shop service quality information of search products has a greater impact on product sales. The influence of online observation learning on product sales will be significantly moderated by a combination of product type and market age. These findings not only offer important theoretical contributions to e-commerce research but also provide practical implications for online sellers and managers of social commerce platforms.     

The Effects of Credible Online Reviews on Brand Equity Dimensions and Its Consequence on Consumer Behavior

Consumers are using social media platform to gain and share knowledge on brands. In the virtual environment, consumers are exposed to various online reviews on brands that leave an impression of brands on the minds of the consumers. The present study combines Yale attitude change model and attribution theory to examine the effects of credible online reviews on brand equity dimensions. The present study views, through the lens of Yale attitude change model, the various factors that affect credibility evaluation of online reviews. Further, attribution theory is used as the theoretical backbone to analyze the effects of credible online reviews on brand equity dimensions and finally on purchase intention. This study uses structural equations modeling (SEM) to investigate the impact of online credible reviews on customer based brand equity (CBBE) dimensions and its consequence on consumer behavior (purchase intention). Results indicate that source and review quality are the most important factors that affect consumer's credibility evaluation of a review. Online credible reviews have more significant impact on brand awareness, perceived value and organizational associations and thus leads to consumer's purchase intention in the context of consumer electronic products in India.     

基于在线评论的网络零售定价模型研究

在线评论的出现深刻改变着消费者的经济行为模式、企业的赢利性及其定价策略。文章以消费者效用理论为理论基础,以网络零售两阶段销售为背景,建立了一个与在线评论相关的产品定价模型。通过数值模拟发现,在线评论数量越大,则第一阶段产品最优价格越低,第二阶段产品最优价格越高,网络零售商的总利润也越大;第一阶段消费者对产品价值的预期越高,则第一阶段产品最优价格越高,第二阶段产品最优价格越低,而只有当在线评论数量较小时,网络零售商的总利润才随第一阶段消费者对产品价值的预期增加而增加,否则,网络零售商的总利润将随第一阶段消费者对产品价值的预期增加而减少。     

Analysis of customers' satisfaction with baby products: The moderating role of brand image

The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance of the services or the quality of goods. This research explores customers' levels of satisfaction with baby products on Amazon.com through text mining and survey-based methodologies. The moderating role of a brand image is also investigated on the relationship between customers' satisfaction and recommendations to others. Two sources of data were utilized, online reviews from the Amazon portal and responses of the participants on a large-scale survey. The research model is developed based on the factors that were extracted from the text mining approach. Following that, a questionnaire was distributed and the collected data were inspected using Partial Least Squares Structural Equations Modeling (PLS-SEM). The findings revealed that several dimensions have an influential effect on customers' experiences with baby products, among which are comfortableness, material quality, easy use, easy return, design, price, packaging, and size information. In addition, the moderating influence of the brand image on the hypothesis between customers' satisfaction and recommendations to others was significant. By deploying the two-phase methodology, baby product vendors can understand the influential variables in customers' experiences and their impacts on customers’ satisfaction more accurately.     

Why should I believe this? Deciphering the qualities of a credible online customer review

Online customer reviews have been shown to have a powerful impact on the sales of a given product or service. However, the qualities of a ‘credible’ online customer review are still subject to debate. Existing research has highlighted the potential influence of a range of factors on the credibility of an online customer review, but relies heavily on quantitative methods and a ‘top down’ approach. In turn, this can reduce our understanding of the influence of these factors into merely discerning whether one pre-determined factor is more influential than another is. This paper adopted a ‘bottom up’ thematic analysis of individual qualitative interviews with a purposeful sample of consumers who regularly utilised online customer reviews. The findings uncovered a range of factors that influenced the credibility of an online customer review that were attached to a reader’s personal experience and to the content of a specific review, and inferred the existence of a reciprocal relationship between the constructs of review helpfulness and review credibility.     

时间间隔何时能够提高在线评论的有用性感知——基于归因理论的视角

文章从归因理论的视角出发,探索了购买与评论间的时间间隔与产品类型（物质性产品Vs体验性产品）如何相互作用以影响评论的有用性感知。通过将产品分为物质性产品和体验性产品,文章运用实验检验了时间间隔对不同产品类型的评论影响作用产生的不同作用。结果表明,对于体验型产品来说,时间间隔近（Vs远）可以提高评论的有用性感知;而对于物质型产品来说,时间间隔近（Vs远）可以降低评论的有用性感知。除此之外,实验结果也证实归因倾向中介于时间间隔与评论有用性感知。但是时间间隔对评论有用性的影响还会受到评论效价的调节,时间间隔只会改变正面评论的有用性感知,但是并不能显著影响负面评论。研究结论有助于深入理解阅读者对在线评论的有用性判断的反应,并为在线零售商提供了一个更好利用和维护在线产品评论提高新的视角。     

A Commentary on the Strategic Application of Service to Product and Consumer Flaws

An ever-changing consumer and the evolving role of service have contributed to the increasing difficulty faced by mar- keters to create a perfect match between products and consumers. The outcome has been an increase in mismatches or flaws. This paper considers the consumer and the product from a critical view- point, emphasizing the concept of flaws as a basis from which to apply service strategies. A new dynamic model is presented which suggests a definition for product and consumer flaws in several con- texts. Moreover, service strategies for responding to product and consumer flaws are presented. Finally, the future of service as a long-term marketing strategy is discussed and its impact on business is examined.     

Understanding online product ratings: A customer satisfaction model

Online product ratings have become a major information source for customers, retailers, and manufacturers. Both practitioners and researchers predominantly interpret them as a reflection of product quality. We argue that they in fact represent the customer's satisfaction with the product. Accordingly, we present a customer satisfaction model of online product ratings which incorporates the customer's pre-purchase expectations and actual product performance as determinants of ratings. We validate our model by applying it to two datasets collected at the German website of Amazon.com. The results indicate that both factors have a significant influence on online product ratings, supporting the proposed interpretation of ratings.     

Delight the experts,but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product

Online reviews are a pervasive form of electronic word-of-mouth (eWOM) that potentially accelerate—or slow down—the diffusion of recently launched services in the marketplace. While empirical research largely supports the effects of online reviews on attitudinal and behavioral outcomes, less is known about the impact the source of the review—i.e., if it comes from a peer consumer or an expert—has on the recipient. Two experiments that combine reviewer- (expert, consumer), service type- (mobile package, restaurant, car repair), consumer- (level of general innovativeness), and review-related (positive, negative) characteristics reveal a challenging interaction between the review’s source and its valence: while—compared to an established baseline—a positive expert review seems more effective in increasing the recipient's intention to purchase than a review by a peer consumer, a negative consumer review lowers the recipient's intentions to a larger extent than a negative expert review. We further find effects of the consumer's innovativeness and the service category across the experiments. Our research contributes to the topical and increasing body of empirical research on the effects of involved characteristics within online reviews across several product types.     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

Experiential goods with network externalities effects: An empirical study of online rating system

This paper uses online users' reviews and sales information from May 2003 to March 2007 to study a new experiential product: online video game (or virtual world). The results suggest that, first of all, for a hedonic product such as an online video game, the availability of online review system could not fully transform experience attributes into search attributes. The empirical study confirms that negative word-of-mouth has more significant impact than positive reviews. The study empirically verifies that the existence of direct network externalities (i.e. a product's value increases when more consumers join the network) is crucial for a hedonic product. The size of the user base signals the quality of the game, and works like a search attribute for potential users. A large user base will reduce the negative impact from unfavorable reviews.     

混合服务质量对双线服务忠诚的影响——线上线下融合视角

传统服务质量和电子服务质量已广受关注,但同时基于人-人交互和人-技术交互的混合服务质量还缺乏深入探索。文章基于我国线上线下融合情境构建并实证分析了混合服务质量对双线服务忠诚的影响模型。实证分析表明,实体服务质量、电子服务质量、整合服务质量对感知价值和线上忠诚有积极影响,实体服务质量、整合服务质量对关系质量和线下忠诚有积极影响;感知价值和关系质量对线上线下忠诚均有积极影响;并且,感知价值和关系质量在混合服务质量三维度与线上线下忠诚之间起到一定程度的中介作用。此外,跨渠道质量不一致负向调节了电子服务质量、整合服务质量对感知价值的影响,负向调节了实体服务质量、整合服务质量对关系质量的影响;渠道使用模式负向调节了电子服务质量、整合服务质量对感知价值和关系质量的影响。研究从线上线下融合视角深入挖掘了混合服务质量影响服务忠诚的顾客心理机制和多渠道异质性特征,对混合服务提供商的服务质量和顾客忠诚管理有一定启示作用。     

Measuring the impact of online reviews on consumer purchase decisions – A scale development study

Consumers' exposure to online reviews influences their online retail shopping behavior. They search for reviews while evaluating products for purchase decisions. Past studies have indicated that online reviews affect the credibility and trust of the sellers and the products they sell on online platforms. Keeping this in view, the current paper aims to develop and validate a scale to understand the impact of online reviews on consumer purchase decisions. Data were collected from 431 young online shoppers for this research. The initial exploratory factor analysis (EFA) results helped identify four factors, viz. source credibility, volume, language and comprehension, and relevance which constitute the scale. The scale was validated by confirmatory factor analysis (CFA). The study's findings fill the gap of having a standardized scale that online retailers can use as indicators to assist consumers in their online decision-making. The discussions and implications support consumers' susceptibility to online reviews, an essential source for product and brand information in facilitating online consumers' purchase decisions.     

Big social data and customer decision making in vegetarian restaurants: A combined machine learning method

Customers increasingly use various social media to share their opinion about restaurants service quality. Big data collected from social media provides a data platform to improve the service quality of restaurants through customers' online reviews, where online reviews are a trustworthy and reliable source that helps consumers to evaluate food quality. Developing methods for effective evaluation of customer-generated reviews of restaurant services is important. This study develops a new method through effective learning techniques for customer segmentation and their preferences prediction in vegetarian friendly restaurants. The method is developed through text mining (Latent Dirichlet Allocation), cluster analysis (Self Organizing Map) and predictive learning technique (Classification and Regression Trees) to reveal the customer’ satisfaction levels from the service quality in vegetarian friendly restaurants. Based on the obtained results of our experiments on the data vegetarian friendly restaurants in Bangkok, the models constructed by Classification and Regression Trees were able to give an accurate prediction of customers' preferences on the basis of restaurants' quality factors. The results showed that customers’ online reviews analysis can be an effective way for customers segmentation to predict their preferences and help the restaurant managers to set priority instructions for service quality improvements.     

Customer-perceived value and loyalty: how do key service quality dimensions matter in the context of B2C e-commerce?

This paper develops a research model to examine the effect of e-service quality dimensions on customer-perceived value and customer loyalty. Based on a survey of 235 online customers, we identify five key e-service quality dimensions: care, reliability, products portfolio, ease of use, and security. Our empirical results show that all the five dimensions have significant and positive impacts on customer-perceived value which, in turn, increases customer loyalty. We further examine the mediating role of customer-perceived value in the relationship between each e-service quality and customer loyalty. The results suggest that customer-perceived value plays a partially mediating role in the effect of ease of use, care, product portfolio, and reliability on customer loyalty, and a fully mediating role in the relationship between security and customer loyalty. Managers may be in a position to benefit by employing the model presented in this study in an effort to improve service performance and, hence, retain customers.     

基于信任的移动社交电子商务购买意愿影响因素

近年来,越来越多的个体、商家加入移动社交网络平台开展电子商务活动,对网络零售产生了重要影响。但由于缺乏监管和行业规范的引导,消费者感知风险存在,影响消费者交易行为,且理论研究较少,也不能为此类电子商务模式的发展提供理论指导。信任是电子商务活动的基础,信任对消费者购买意愿产生直接影响,平台可用性、消费者内在特征和行为以及商家会直接或间接影响非移动社交电子商务模式消费者的购买意愿。而在移动社交电子商务中,由于其模式的独特性,以往影响消费者信任的因素已难以有效反映移动社交电子商务消费者的购买意愿。此外,商家通过社群与若干消费者建立不同程度的连接,需要研究连接中强弱关系对消费者购买意愿的影响程度。因此,基于移动社交电子商务的特点假设影响消费者信任和购买意愿的因素,即除系统质量、信息质量、产品质量、服务质量四个影响非移动社交电子商务消费者信任的因素外,还包括社群关系和网购认知这两个影响移动社交电子商务消费者信任的新因素,接下来假设上述因素对消费者感知信任和感知风险两个中介变量存在影响,并进一步影响消费者购买意愿,继而再通过构建结构方程模型进行实证分析。实证结果显示,系统质量、信息质量、产品质量、服务质量均不同程度正向影响消费者感知信任,负向影响感知风险,而社群强弱关系对购买意愿的影响与弱关系理论结论相反,网购认知对增强消费者感知信任作用明显,消除消费者感知风险是增强消费者信任的重要途径。