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.     

The informational value of multi-attribute online consumer reviews: A text mining approach

In the digital age, customers use online reviews to minimize the risks associated with purchasing a product. Major online retailers help customers choose the right product by exposing reviews that received many “helpful” votes at the top of the review section. Given that reviews that have received the maximum helpfulness votes are considered more important in purchase decisions, understanding determinants of helpfulness votes offers clear benefits to online retailers and review platforms. This study focuses on the effect of review informativeness, which is measured by the number of attributes discussed in a review, and its interplay of review valence on customers' perception of review helpfulness. We applied a word-level bigram analysis to derive product attributes from review text and examined the influence of the number of attributes on the review's helpfulness votes. More importantly, we also suggested the moderating role of review valence. Estimation results of the Zero-inflated Poisson models on 21,125 reviews across 14 wireless earbuds indicated that as more attributes are discussed in a review, the more the review can earn helpfulness votes from customers. Furthermore, the positive association between the number of attributes and helpfulness was enhanced among negative reviews. This study contributes to customers' information processing literature and offers guidelines to online retailers in designing a better decision support system.     

Addressing negative product attribute reviews: The case of advertising product attributes and corporate social responsibility information

Negative product reviews are bad for businesses. They can adversely affect product sales, brand evaluations, and brand loyalty. To attend to negative reviews, one approach is through advertising products or company virtues. The current study examines the efficacy of different advertising approaches (core product attribute advertising vs. non-core product attribute advertising vs. corporate social responsibility [CSR] advertising) in helping dilute the negative effect of dissimilar negative product attribute reviews (negative core product attribute reviews vs. negative non-core product attribute reviews). Through four experiments, we found that when the non-core attribute of a product had negative reviews, a core attribute advertising approach weakened the effect of negative reviews. However, CSR advertising was less effective. Furthermore, when the core attributes of a product had negative reviews, a non-core attribute advertising effort did not weaken, but actually augmented the impact of negative reviews. In addition, when the core attributes of a product received negative reviews, CSR advertising decreased the influence of negative reviews. Our findings provide theoretical and managerial implications for managing negative online reviews of product attributes.     

Text mining-based four-step framework for smart speaker product improvement and sales planning

The smart speaker market, which is considered an early-stage market, is expected to grow rapidly as smart speakers become a part of daily life. Consequently, manufacturers are trying to dominate the market. To achieve this, they must analyze users' reactions to their products and find insights for product improvement through comparison with competitors. We propose a four-step methodological framework for identifying meaningful opinions from a large number of online user reviews. First, network analysis is conducted to compare differences between brands. Next, through topic modeling, the attributes of speakers that users consider the most crucial are extracted for each brand. Third, sentiment analysis is conducted to examine how users' emotional polarities differ for each attribute. Through this, product improvement and product sales plans can be derived. Finally, in order to clarify the strengths and weaknesses of each brand, brand positioning is conducted and user opinions that have changed along with the evolution of the speaker's generation are analyzed. Our study identified the factors that positively or negatively affect the experience of smart speaker users. In addition, the proposed method is highly useful because it can be used to derive insights from a large amount of user opinion data regardless of the search term.     

Automated inference of product attributes and their importance from user-generated content: Can we replace traditional market research?

User-generated content, particularly online product reviews by customers, provide marketers with rich data of customer evaluations of product attributes. This study proposes, benchmarks, and validates a new approach for inferring attribute-level evaluations from user-generated content. Moreover, little is known about whether and when insights from product reviews gained in such a way are consistent with traditional research methods, such as conjoint analysis and satisfaction driver analysis. To provide first insights into this question, the authors apply their approach to a dataset with almost one million product reviews from 52 product categories and run conjoint and satisfaction driver analyses for these categories. Results indicate that the consistency between methods largely varies across product categories. Initial exploratory analyses suggest that consistency might be higher for categories characterized by low experience qualities, high hedonic value, and high customer willingness to post online reviews—but further work will be necessary to validate these findings.     

Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products

This study examines how consumers' interest in a new experience product develops as a result of advertising and word-of-mouth activities during the pre-launch period. The empirical settings are the U.S. motion picture and video game industries. The focal variables include weekly ad spend, blog volume, online search volume during pre-launch periods, opening-week sales, and product characteristics. We treat pre-launch search volume of keywords as a measure of pre-launch consumer interest in the related product. To identify probable persistent effects among the pre-launch time-series variables, we apply a vector autoregressive modeling approach. We find that blog postings have permanent, trend-setting effects on pre-launch consumer interest in a new product, while advertising has only temporary effects. In the U.S. motion picture industry, the four-week cumulative elasticity of pre-launch consumer interest is 0.187 to advertising and 0.635 to blog postings. In the U.S. video game industry, the elasticities are 0.093 and 1.306, respectively. We also find long-run co-evolution between blog and search volume, which suggests that consumers' interest in the upcoming product cannot grow without bounds for a given level of blog volume.     

Running for pleasure or performance? How store attributes and hedonic product value influence consumer satisfaction

Previous retailing studies have linked consumer satisfaction to perceived hedonic or utilitarian product value. This research extends previous studies by examining how the context in which the product is purchased (store attributes) and product value influence consumer satisfaction. We conducted a field study with 213 consumers attending two major running events. The findings from structural equation modelling suggest that a specific combination of store attributes (tangible and intangible) and hedonic product value has a positive influence on satisfaction. Results also show that tangible store attributes have a stronger positive impact on utilitarian (vs. hedonic) product value, and that intangible store attributes have a positive impact on hedonic product value. However, we found that only hedonic product value has a positive impact on satisfaction. This research contributes to theory by showing that a match between store attributes (tangible and intangible) and hedonic product value can positively influence satisfaction. In managerial terms, the findings provide insights on how to improve consumer satisfaction in retail environments through store attributes and hedonic product value.     

Attitude formation from product trial: Distinct roles of cognition and affect for hedonic and functional products

Affective and cognitive responses to a product trial are examined in an experiment containing two cells representing two product types: hedonic and functional. The stimulus products were a computer game and grammar‐checking software. Forty‐two college students comprised the sample for the experiment. The specific affective responses studied are pleasure and arousal, and brand cognitions are represented as the expectancy value from brand attributes (the product of brand beliefs, belief confidence, and attribute evaluations, summed across the attributes (σ b_ic_ie_i)). The relative level and influence of affective and cognitive responses to a product trial were shown to differ significantly, depending on whether the product was hedonic or functional in nature. Specifically, for the hedonic product, felt arousal during the trial was higher than for the functional product, and emotional responses were significant antecedents of subjects' evaluations of the trial experience. Brand cognitions, however, were not significantly related to trial evaluations for the hedonic product. In contrast, for the functional product, brand cognitions and pleasure were significant antecedents of trial evaluations, but arousal was not. The findings of this study demonstrate the importance of considering both the cognitive structure created by a product trial and the consumer's emotional reactions to the trial. For hedonic products, especially, emotional responses to the trial were shown to be powerful antecedents to consumers' evaluations of a trial experience, and subsequently, brand attitude. Marketers and marketing researchers can use these results to predict which category of responses to product trial (affective or cognitive) will be most important for brand evaluation for the particular product in question. This knowledge may also enable marketers to manipulate aspects of a product trial that are most influential on the set of trial responses that this study has shown to significantly affect brand evaluation for that product type. © 1999 John Wiley & Sons, Inc.     

What online game spectators want from their twitch streamers: Flow and well-being perspectives

Over the last five years, live-streaming platforms, such as Twitch and YouTube, have been dramatically developed and used for individuals' broadcast of digital content, including online video games. Consequently, online game live-streamers have played an important role in the business industry (e.g., advertisements) as well as the online video game industry. By focusing on this context, this study identifies streamer attributes and live-streaming mobile application attributes, and examines how each attribute influences spectators’ flow experience, psychological well-being, commitment, and loyalty toward their favorite streamer. Based on the cognitive appraisal theory and social media influencer literature, the authors classify streamer attributes (i.e., friendship, interaction, and streamer skills) and live-streaming mobile application attributes (i.e., perceived usefulness, technology & functional quality, convenience, and security quality) in the context of Twitch. The data were collected from Twitch users in the United States via two waves. The empirical findings indicated: (1) friendship, technology & functional quality, convenience, and security quality significantly affected flow experience; (2) friendship, streamer skills, convenience, and security quality significantly influenced psychological well-being; (3) flow experience significantly impacted commitment and loyalty; (4) psychological well-being had a significant effect on commitment; and (5) commitment significantly affected loyalty. The empirical findings of this study provide meaningful implications to scholars and practitioners in the social media and online video game contexts.     

Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products

Consumers assess the credibility of online product reviews to guide their purchase decisions. However, little is known about how consumers determine the credibility of online product reviews. This article examines the effect of the level of detail in a product review and the level of reviewer agreement with it on the credibility of a review and consumers' purchase intentions for search and experience products. Overall, the results indicate that more credible reviews lead to higher purchase intentions. Interestingly, the findings also demonstrate that consumers determine the credibility of a review differently for search and experience products. For search products, consumers deem online reviews to be more credible when the reviews contain detailed information about the product. However, for experience products, consumers determine the credibility of a review by assessing the level of reviewer agreement with a review. The lack of diagnosticity of detailed information in online reviews of experience products is attributed to the idiosyncratic nature of experiences. Implications for research and practice are discussed.     

Selling to Millennials with online reviews

Millennials have heavily influenced social media's evolution into an important source of product information. They are increasingly basing their product evaluations on information gathered from online reviews. Thus, companies targeting Millennials may wish to pay heed to online reviews. Which products are affected by Millennials’ online reviews? Do the reviews tend to be positive or negative? Where do Millennial customers look for information amongst the plethora of online venues? As presented herein, a survey of 227 Millennials reveals that this generation is undeniably posting reviews online and being influenced by these reviews. Respondents show a definite preference for two online venues, Facebook and company websites, when voicing their opinions. Reviews are broken down by positive and negative comments, and how product categories fare for each type. Contrary to popular thinking, the respondents were more prone to post positive reviews than negative reviews. Males voice their opinions online significantly more often than females, and specific gender differences are observed by product category. Recommendations are provided for selling to Millennials by leveraging online reviews.     

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.     

Exploring the mediating role of utilitarian value and hedonic value in the formation of oppositional loyalty in online communities

Our research expands the scope of the research on oppositional loyalty from brands to online communities. Online communities allow members to freely express their opinions and promote the occurrence of oppositional loyalty behaviours towards the communities. Oppositional loyalty is defined in this article that, for the purpose of strengthening the market position of their preferred community, members of the online community may express negative views or even show oppositional behaviour towards adversarial communities. In view of social capital theory, the study examines the effect of hedonic value and utilitarian value on oppositional loyalty in online communities. The results show that only hedonic value significantly affects oppositional loyalty; hedonic value mediates the effect of the three dimensions of social capital (network ties, identification, and common language) on oppositional loyalty. The study identifies that community type moderates the impact of social capital (identification and common language) on hedonic value but does not moderate the effect of social capital on utilitarian value. Finally, we find that members' oppositional loyalty towards their community can promote their community participation. This research provides recommendations for online community managers to manage and benefit from members' oppositional loyalty.     

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.     

Hedonic and utilitarian use of user-generated content on online shopping websites

The Internet has made it possible for consumers to share reviews, opinions, and thoughts about products and services on online shopping websites. This user-generated content (UGC), which can be considered to be part of social commerce, is likely to influence other consumers’ attitudes toward a product and subsequent purchase intentions. The purpose of this study was to investigate two major uses of UGC: hedonic and utilitarian, and how they impact purchase intentions, along with users’ trust for different types of comments and reviews. Also investigated are associations between hedonic use, utilitarian use, and trust, with purchase behavior at online shopping websites. Results of this study will add to the domain knowledge related to marketing and how it impacts consumer psychology and behavior. From a practitioner perspective, marketers need to understand the impact of UGC so they can monitor this method of marketing communication as it can impact trust and purchase intentions.     

Sensory enabling technology acceptance model (SE‐TAM): A multiple‐group structural model comparison

Sensory enabling technology (SET) can deliver product information that is similar to the information obtained from direct product examination, thus reducing product risk. In addition, the interactivity and customer involvement created by sensory enabling technologies can enhance the entertainment value of the online shopping experience. The proposed model examined this dual role of sensory experience enablers in the online soft goods shopping process for three types of sensory enabling technologies that are widely applied in online retail sites. The results provided empirical support for perceived usefulness and perceived entertainment value as strong predictors of consumers' attitudes toward using all three of the sensory enabling technologies tested in this study. The impact of perceived ease of use differed by technology. Attitudes toward using sensory enabling technologies had a significant impact on the actual use of all three SETs; however, the impact of technology anxiety and innovativeness on the use of SET also appeared to differ by technology. Virtual try‐on played a strong hedonic role, increasing the entertainment value of the online shopping process, whereas 2D views (larger view and alternate views) showed a strong functional role. The 3D rotation view served both functional and hedonic roles. The results indicate that each sensory enabling technology makes a unique contribution to online shopping—either by reducing product risk perceptions or by increasing perceived entertainment value. © 2008 Wiley Periodicals, Inc.     

What drives retailer loyalty? A meta-analysis of the role of cognitive,affective, and social factors across five decades

Today's retailers face significant competition due to the proliferation of both retail formats and channels. It is crucial for retailers to understand how to develop a loyal customer base for competitive advantage. To this end, we conducted a meta-analysis of 1,908 effect sizes from 319 studies on retailer loyalty over the last 50 years, to examine the impact of cognitive, affective, and social retail experience on customer loyalty toward a retailer. Our analysis shows that affective experience became more important over time and had the highest impact on retailer loyalty, 24% more than that of social drivers and 50% more than cognitive drivers. Affective experience is particularly impactful online and for retailers of hedonic or low-involvement products. Social drivers increased significantly in impact over time too. Its effect was particularly strong on attitudinal loyalty, for studies with a higher proportion of females, and surprisingly, in utilitarian rather than hedonic retail contexts. Taken together, our findings suggest that traditional cognitive differentiators such as price and product assortment are no longer sufficient for maintaining customer loyalty to a retailer. Positive affective and/or social experience represent a more defensible path toward customer loyalty.     

Online Shopper Reviews: Ramifications for Promotion and Website Utility

Today's consumers are empowered with online shopper reviews which are mostly written and posted by buyers, customers, users, or visitors at a website. Shopper reviews will become more popular and ubiquitous in e-tailing in the near future. However, the marketing literature is still limited when it comes to knowledge of how shoppers perceive and use online reviews in their purchase decisions. Hence, this study explored shoppers’ predispositions toward positive or negative reviews and examined the impact of consumers’ attitudes and usage patterns on their perceived helpfulness and credibility of online shopper/peer reviews. One interesting finding from our study of 342 online shoppers was that consumers who would pay greater attention to positive reviews gave reviews more credible and usefulness ratings than their counterparts who would focus on the negative reviews.     

Development of methodology for classification of user experience (UX) in online customer review

In e-commerce, customer feedback has become an essential source of insight into a product or service's user experience (UX). The study of UX helps to integrate customers' potential needs into the product's design. Because customer reviews in e-commerce are not structured and categorized, it is necessary to analyze UX based on customer opinions systematically. This study tries to structure UX in a product's positive/negative context through a neural network-based self-organizing map (SOM). As a result of analyzing 10,482 reviews on wireless earbuds in BestBuy, an electronic product e-commerce platform, it was confirmed that it is a suitable method for categorizing user experiences between reviews and deriving important factors. In particular, the difference in core UX elements by positive/negative context of the product was verified based on the star rating. The results of this study are expected to contribute to product improvement and business improvement that reflect customer needs by companies or designers who design products for end-users.     

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.