Examining impacts of negative reviews and purchase goals on consumer purchase decision

Extensive literature has studied the impact of positive online reviews on consumers’ purchase decisions. Research on the role of negative reviews in consumer price perception is heavily under-investigated. This study examines effects of negative reviews on consumer price perception and subsequent purchase behavior while considering the moderating effect of purchase goals. Results from two experiments show that the proportion of negative reviews has stronger negative impacts on purchase decision for consumers with a purchase goal than those without. This research contributes to growing knowledge about negative online reviews and consumer goal literature and offers practical implications for online retailers.     

Perceived helpfulness of eWOM: Emotions,fairness and rationality

Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.     

Role of electronic word-of-mouth content and valence in influencing online purchase behavior

Electronic word of mouth (eWOM) becomes an important tool for online consumers for evaluating and selecting a product. Extant research has mainly studied how various eWOM characteristics such as valence, volume, and text-based eWOM content affect purchase behavior. This study, for the first time, has explored the role of mixed neutral WOM valence and rich eWOM content on online purchase intention. Initially, the qualitative analysis method was used to conduct in-depth interviews with experts-cum-online shoppers from different fields. Purposive sampling was used to select 14 experts and online shoppers from diverse fields. Inductive analysis was conducted to analyze the interview generated content. It helped in forming various codes and categories in explaining eWOM constructs. Content analysis was also used to analyze the importance of various factors in key constructs (themes) affecting online behavior. The finding from the content analysis confirmed that both mixed neutral eWOM and rich eWOM content positively affects online purchase intention. This study has also explored how insights derived from the content analysis of valence and content can help marketers to develop an online marketing strategy. Research implications and future research directions have been discussed in this paper.     

The effect of negative online customer reviews on brand equity and purchase intention of consumer electronics in South Africa

This study investigated the effect that negative online customer reviews have on brand equity and purchase intention. This research examined the influence of negative electronic word of mouth (eWOM) on brand equity, as influenced by customer review quality, product involvement and source credibility. A 3 (high quality review versus low quality review versus no review) × 2 (high product involvement versus low product involvement) factorial experiment with 236 respondents was conducted. The results revealed that the presence of negative eWOM has a significant detrimental effect on brand equity and purchase intention. Furthermore, the effect of negative online customer reviews is more detrimental to the brand equity of a high involvement product than a low involvement product. The results also revealed that high quality reviews are more influential than low quality reviews with respect to brand equity, and the difference between the levels of eWOM source credibility has no significant effect on brand equity.     

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.     

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.     

Investigating the effect of quality of grammar and mechanics (QGAM) in online reviews: The mediating role of reviewer crediblity

Grammar and mechanics are important components of written communication and provide signals of credibility. Although past research has documented general effects of grammar and mechanics, to date, the influence of quality of grammar and mechanics (QGAM) of online reviews remains largely unexamined. Through the lens of ELM, the present research examines QGAM of a review as a peripheral cue influencing the perceived credibility of a reviewer, finding that reviews with high QGAM have higher perceived credibility and exert a stronger influence on purchase intentions. Meanwhile, reviews with low QGAM are not as credible, influencing purchase intentions less. Product type, review length, and review valence moderate these influences, such that QGAM is more important for reviews of experience goods and reviews of shorter lengths. Further, reviewer credibility fully mediates positive reviews but does not mediate negative reviews. Implications, limitations, and future research directions are discussed.     

Order effect of multi-touchpoints on Generation Z consumers

Abundant user-generated content has increasingly driven consumers to form or modify their purchasing decisions based on interactions with other consumers, although the extant research overlooks the customer-to-customer (C2C) interaction touchpoints. Based on the customer journey characteristics of cross-channel and multi-frequency interactions, this study explores the impact of interaction valence and interaction channel sequence on Generation Z consumers' purchase attitudes from the perspective of attitude modification process. Using a scenario-based experimental design in a restaurant setting, we sample 616 Generation Z students. Findings suggest that C2C interactions that have the same valence at each touchpoint strengthen Generation Z consumers' initial purchase attitude, whereas inconsistent valences modify purchase attitudes. Our results reveal that a negative-to-positive ordering is more conducive to the formation of a positive purchase attitude than a positive-to-negative ordering. Moreover, the cross-channel sequence of a customer journey moderates the inconsistent valence order such that the positive-to-negative order improves purchase attitude more than the negative-to-positive order. This study explains theoretically the difference of ambivalent experiences on Generation Z consumer attitudes. We provide practical suggestions for multi-channel restaurant enterprises to successfully employ customer journey touchpoint management.     

Do product reviews really reduce search costs?

The literature on online product reviews is based on the fundamental premise that reviews impact search costs and also affect consumers’ confidence in their purchase decisions. However, this proposition has not been proven in the literature. To this end, we conducted an experiment using an eye-tracking machine to measure the impact of online editorial and customer reviews on consumer’s information search costs and on decision confidence. Search costs in this study are defined in terms of time costs and cognitive effort costs. We find that when present, both editorial reviews and customer reviews separately reduce both search time and cognitive effort considerably, but not when present together. We also find that the presence of both types of reviews increases decision confidence considerably, but do not lower search costs. These results suggest that ecommerce firms can benefit from the presence of either or both editorial and customer reviews through either lower search costs, or higher decision confidence. We conclude with several managerial recommendations for ecommerce firms.     

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.     

Online reviews as a pacifying decision-making assistant

Drawing on uses and gratification theory, this article elucidates how consumers capitalize on online reviews for purchase decisions in three markets (Taiwan, Thailand, and Vietnam). Three studies demonstrate this objective. Study 1 considers online reviews as a one-dimensional construct consisting of three behavioral components, including textual comments, contextual images, and star ratings, that had been validated by using reliability and validity analyses. Study 2 employs an ANOVA to analyze how these components relate to different consumer groups in terms of gender, age, and location. Study 3 explores the mediating role of online trust in the online reviews and purchase decision relationship under the moderating effect of the perceived effectiveness of social media platforms. Using a cross-national survey and a two-stage partial least squares analysis, the authors substantiate the proposed relationships and discuss the theoretical and managerial contributions of this research.     

Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos

The present study attempts to examine how the various emotions expressed in customer engagement content available on online product review videos reflect purchase intentions. The study identified 97 popular review videos of different technical products on YouTube, with a total of 93,181 comments posted between January 2018 and June 2021. After filtering, the final set of data consisted of 18,452 comments. The paper employed both Poisson and negative binomial regression to test the hypotheses and strengthen the findings. The study explores new insights for predicting purchase intentions of potential customers with the help of a four-factor model based on customer engagement content available on online product review videos. Thus, this research supports the applicability of MRT, CET and SOR theories in the existing literature on retailing and e-tailing by developing a four-factor model. A wide range of consumer responses, both quantitative and qualitative, have been taken into account to predict purchase intentions using sentiment analysis, which makes this study unique and robust. Additionally, the paper entails several significant managerial implications for retailing and e-tailing firms to reformulate their marketing strategies.     

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.     

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.     

What's in the box? Investigating the benefits and risks of the blind box selling strategy

This study explores the benefits and risks of the blind box selling strategy, a unique type of marketing approach wherein consumers purchase a package from a retailer without knowing its content. To this end, this study develops a new framework by incorporating hedonic benefits, perceived risk, risk propensity, customer delight, and brand evangelism in an integrated conceptual model. The findings of a survey of 486 respondents demonstrate that hedonic benefits have a positive influence on customer delight, while perceived risk has a negative effect, and risk propensity moderates the relationship between the two constructs. The findings also reveal that customer delight stimulates brand evangelism and mediates the relationship between hedonic benefits, perceived risk, and brand evangelism. This research highlights the importance of the blind box selling strategy and provides valuable managerial insights for brand managers.     

Online customer service and retail type-product congruence

This study investigates how various elements of customer service affect the behavioral intention to shop at the online or the offline store for different product categories. We focus on the perceived value, trust, interface, empathy, and offline presence as the dimensions of the customer service for the retail store (online or offline). Using 317 respondents from the online stores’ users, this study finds that perceived value is the strongest predictor for future intention to shop at online stores, whereas offline presence of an online store did not enhance the future intention to shop at online stores. Other dimensions such as enhanced trust and ease of interface strengthen the intention to purchase at the offline stores. Finally, perceived value and empathy associated with online stores harm the offline stores. In synch with the Theory of Congruence, this study supports the notion that the perceived congruence between product type and retail store type affect their intention to purchase certain product categories at the online stores and to purchase other groups of product categories at offline stores. Further ramifications of these findings are discussed in the paper.     

Is there any value in the online reviews of remedial satisfied customers? An empirical study in the hospitality industry

Hospitality service providers lack attention to the positive reviews written by remedial satisfied customers, although they have devoted a lot of energy to service recovery. Drawing on the accessibility-diagnosticity framework, this study investigates the relationship between the online review types of remedial satisfied customers and potential customers' booking intentions. The results indicate that outcome satisfactory review not only improves review impression and positively affects customers' booking intentions, but also reduces perceived risk and enhances customers’ booking intentions. The review valence consistency plays a moderating role in the dual-path effect of online review types on booking intentions.     

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.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.     

“If you loved our product”: Do conditional review requests harm retailer loyalty?

Online retailers frequently solicit reviews from customers who have recently purchased their products or services. This research examines how consumers react to conditional requests—wherein a retailer explicitly asks them to consider their experience but to only leave a review if this experience was favorable—versus more neutral unconditional requests. The provision of conditional requests is widespread, presumably because retailers believe that such requests will yield more positive reviews. Irrespective of whether these potential benefits materialize, the present research demonstrates that the consequences of conditional requests on customer loyalty (i.e., retailer engagement and repeat purchase behavior) are uniformly negative and surprisingly expansive. Six experiments with over 3,000 participants reveal that customers who receive conditional (vs. unconditional) requests are subsequently less loyal to the retailer, whom they perceive as manipulative and untrustworthy. This research also shows that easily implementable message modifications can attenuate (although not necessarily eliminate) the adverse effects of conditional requests on customer loyalty. Substantively, this work highlights how the messaging used in a review request affects customers’ inferences as well as their later judgments and behaviors. Managerially, the findings should exhort online retailers to exercise caution before sending conditional review requests given the risk of reputational harm.