Price assessments by consumers: influence of purchase context and price structure

Among the numerous factors that influence decisions on prices, consumer behaviour has special significance. This paper reviews and analyses relevant studies conducted during the last few decades. On the basis of our analysis, four categories of factors that determine consumer behaviour have been identified. Additionally, we have developed an experimental research design to analyse the influence that the following factors have on price perception: price structure (i.e. price level, order of presentation and price differences), purchase context (i.e. reason for purchase or product use) and demographic characteristics (i.e. gender). Results reveal a significant influence of these variables on consumer behaviour.     

The power of beauty? The interactive effects of awe and online reviews on purchase intentions

Prior research has established that online consumer reviews can have significant influences on the evaluations of a product or a service. In particular, studies show that negative (vs. positive) reviews lead to unfavorable evaluations because they heighten purchase risk. The present research seeks to examine a contextual cue that can alleviate this potential problem. Across three studies, this research demonstrates how the emotion of awe – elicited by a beautiful product in the advertisement – can reduce the perception of purchase risk, leading to favorable consumer evaluations of a product or service even though it has negative reviews. The implications of this research are beneficial for advertisers by highlighting the potentials of eliciting awe (e.g., by utilizing beauty) in their advertisements.     

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.     

Website attributes that increase consumer purchase intention: A conjoint analysis

Prior studies investigate factors that affect consumer preferences in online shopping websites. However, prior studies, due to their methodological limitations, do not thoroughly investigate consumer preference structures that reflect the relative importance of attributes and features of shopping websites. By synthesizing prior literature, this research proposes and investigates a comprehensive list of attributes and features of shopping websites that increase consumer purchase intention. This research used IT-based platforms for data collection, and collected data from university students. Data analysis enabled us to categorize consumers that use online shopping websites into three groups based on the attributes they prefer. Consumers with different levels of computer expertise also showed differing preference structures. This research has implications in both research and practice.     

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.     

Motivating purchase of private brands: Effects of store image, product signatureness, and quality variation

This study examines the effects of intangible extrinsic cues on consumer quality perception and purchase intention of private brands. We find that store image and product signatureness enhance quality perception and purchase intention of private brands while quality variation reduces both outcomes. All effects of the three extrinsic cues on purchase intention are partially mediated by quality perception. In addition, consumer value consciousness strengthens the relationship between quality perception and purchase intention of private brands.     

Culture, product type, and price influences on consumer purchase intention to buy personalized products online

With personalization, consumers can choose from various product attributes and a customized product is assembled based on their preferences. Marketers often offer personalization on websites. This paper investigates consumer purchase intentions toward personalized products in an online selling situation.The research builds and tests three hypotheses: (1) intention to purchase personalized products will be affected by individualism, uncertainty avoidance, power distance, and masculinity dimensions of a national culture; (2) consumers will be more likely to buy personalized search products than experience products; and (3) intention to buy a personalized product will not be influenced by price premiums up to some level. Results indicate that individualism is the only culture dimension to have a significant effect on purchase intention. Product type and individualism by price interaction also have a significant effect, whereas price does not. Major findings and implications are discussed.     

A comparison of two types of price discounts in shifting consumers' attitudes and purchase intentions

This study focuses on consumer responses to two different types of price discounts: 1) a price discount with and 2) a price discount without a minimum purchase requirement. The effects of the discounts are examined to the extent that they may change consumers' attitudes and purchase intentions regarding a particular brand, by moving it from consumers' hold set to consideration set. A three-phase study on fast-food services in China was conducted. The results of the study provide new empirical insights regarding how to use a brand categorization model to predict the effects of different types of price discounts on consumer purchase behavior. More specifically, this study demonstrates that when a price discount with and without a minimum purchase requirement is applied to a brand in a hold set, the brand moves from the consumers' hold set to the consideration set. However, the effects of the two types of price discounts on consumers' attitudes and purchase intentions are not significantly different. The results are discussed in relation to brand management and marketing strategies in consumer goods industries.     

How consumers use product reviews in the purchase decision process

This paper uses individual level data to examine the influence of product reviews in different stages of the consumer’s purchase decision process. Specifically, a two-stage model consisting of consideration set formation and choice is posited, where the consumer can incorporate information from product reviews in each stage. The model is estimated using an online panel survey about hotel choice. We find that (1) consumers use product reviews more in the consideration set stage and less in the choice stage, (2) Bayesian updating of prior perceived quality better explains how consumers use product reviews compared to two competing updating methods, and (3) the monetary value of a unit increase in the mean of product reviews is computed. Our results suggest that managers should make product review information (their number, average, and variance) available from the beginning of the search process and encourage satisfied customers to write reviews.     

Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions

Abundant research has investigated the impact of review valence on purchase decisions, but has reported mixed findings. To reconcile these mixed findings, this study unearths the understanding of review valence from the perspective of the emotional content in online customer reviews. To explore the effect of emotional content on purchase decisions and the moderating role of emotional content on non-emotional content and purchase decisions based on a heuristic-systematic model, a laboratory experiment with 106 subjects was used to empirically test the research hypotheses. The results show that pleasant online customer reviews lead to a higher purchase likelihood compared to unpleasant ones. Perceived credibility and perceived diagnosticity have significant influence on purchase decisions, but only in the context of unpleasant online customer reviews. The findings demonstrate positive emotion bias for online customer reviews, and carry important practical implications for both sellers and customers.     

The Recent versus The Out-Dated: An Experimental Examination of the Time-Variant Effects of Online Consumer Reviews

Conventional wisdom suggests that the most recent online reviews may have a greater impact than out-dated online reviews on consumers’ purchase decisions because of their up-to-date nature. However, building on the theory of temporal distance and construal fit, this study proposes a new perspective, suggesting that the influence of online reviews posted at different times is a function of the timeframe for the consumers’ intended purchase. Four experiments demonstrate that although recent online reviews are more influential in shifting consumer preferences towards near-future consumption decisions, the relative influence of out-dated online reviews in shifting consumer preferences increases when consumers are making distant-future consumption decisions. This effect occurs because of a construal fit between the construal level of the online reviews posted at different times and that of the timeframe of consumers’ purchase decisions. The recent reviews are represented at a relatively lower construal level, with the low-level construal matching the timeframe of the near-future consumption decision. Out-dated reviews, however, are represented at a relatively higher construal level and match the timeframe of the distant-future consumption decision. This construal fit, in turn, enhances consumer engagement and consequently exerts a greater influence on consumer preferences.     

Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model

With the continuous development of the Internet and information technology, online shopping has become a popular purchase mode. The in-depth analysis of consumer decision-making in online shopping is an important issue. Our purpose is to study how the factors of the shopping web pages corporately affect online purchase decisions and determine which are the core factors that affect consumer purchase decisions. We screen the influencing factors on the shopping webpage and deploy e-commerce network evolution based on various weight combinations of these factors to generate sales distributions of online products. By comparing these simulated sales distributions to the real data, the optimal weight of each factor is obtained. The results show that sales volume and the number of high-quality negative comments are the most important factors influencing consumers' decision-making, the number of comments and the number of comments with pictures are relatively minor factors, store type and video presentation of the products have the least impact. The optimal simulated sales distribution is very close to the real case and verifies that the introduced network evolution technology is applicable. The proposed model can be used as a uniform evaluation platform for correlational study, which is an important link in the purchase research chain.     

Determinants of purchase luxury counterfeit products in social commerce: The mediating role of compulsive internet use

Research on counterfeit purchase intention has attracted enough attention, and a number of studies have investigated various determinants of luxury counterfeit purchase intention in the offline context. However, less attention has focused on the underlying mechanism of the attitude toward luxury counterfeit purchase intention in the social commerce context. Moreover, extant literature has focused on the influence of compulsive internet use (CIU) on psychological well-being. Based on flow theory, this study examines the mediating role of CIU in the relationship between influencing factors (such as materialism, novelty-seeking behavior, and hedonic benefits) and consumers’ attitudes toward luxury counterfeit products. Additionally, the moderating role of product conspicuousness and positive online reviews also examined the direct effects. Data were collected from active online users of Taobao.com. Results show that materialism and novelty-seeking behavior are significantly related to CIU and subsequently influence the attitude toward luxury counterfeit goods. Furthermore, product conspicuousness and positive online reviews have moderated the direct effect of the conceptual framework. Therefore, the current research contributes to the existing literature by addressing the mediating CIU and moderating (product conspicuousness and positive online reviews) factors that played a significant role in promoting counterfeit purchase intention, comparing the direct effect to promote the counterfeit purchase intention. Theoretical and practical implications are discussed in detail.     

An innovation resistance theory perspective on purchase of eco-friendly cosmetics

This study investigates the reasons for consumer resistance towards purchase of eco-friendly cosmetic products using the innovation resistance theory. Thus we extend the theory by exploring the moderating roles of environmental concern and health concern. An online survey method was used to collect the data from 350 consumers through Amazon Mechanical Turk. The findings reveal that all the barriers are significant inhibitors towards adoption of eco-friendly cosmetic products. Among these barriers, tradition and image barriers have the strongest inhibitory force on consumers' purchase intentions. However, environmental concern among consumers indicates that the negative influence of value and image barriers reduce consumers’ intention to purchase eco-friendly items, while health concern reduces the influence of tradition and risk barriers. The study findings have far reaching implications for scholars, cosmetic manufacturers, and retailers.     

Voluntary pricing mechanisms for green product purchase: altruistic versus self-enhancing consideration

Voluntary pricing mechanisms, such as Pay-What-You-Want (PWYW), could be a better pricing strategy to substitute for cash discount promotions. They can effectively promote the sales of conventional goods and services, while being influenced by socio-psychological variables. However, there is no clarity on the relative assessment of the impact of pricing frames, such as PWYW and Mark-Off-Your-Own-Price (MOYOP), on the consumers’ purchase of green products, where the purchase consideration might vary as the environment protection (altruistic) consideration versus the self-interest (self-enhancing) consideration. Further, there remains ambiguity on when and why such pricing mechanisms will work. This study, through an experiment, examines the buyers’ varied responses for the PWYW price frame versus the MOYOP price frame versus the fixed price frame under the environment protection (altruistic) consideration versus the self-interest (self-enhancing) consideration. It shows that although buyers do not show any difference in the mean voluntary payment between PWYW versus MOYOP frames as such; they prefer PWYW price frame under the environment protection (altruistic) consideration and MOYOP price frame under the self-interest (self-enhancing) consideration. The results show that the perception of price fairness mediates the relationship between pricing mechanism and willingness to buy (WTB). Furthermore, this study finds that price consciousness impacts the indirect effect of pricing mechanisms on WTB via perceived price fairness. The present study is the first to examine and analyze different considerations when the buyers’ preference varied for the PWYW versus MOYOP pricing frames. This study has suggested the underlying role of the perception of price fairness and price consciousness in the participative pricing mechanism on purchase.     

The influence of human crowding and store messiness on consumer purchase intention– the role of contamination and scarcity perceptions

The current research explores how store environmental cues – human crowding and store messiness influence consumer purchase intention across two product type (ingestible and non-ingestible). Importantly, the research also examines the mediating role of contamination perception on these effects. Specifically, for ingested products (e.g., eggs), crowded and messy store environments signal contamination and lead to decrease in purchase intention. However, for non-ingested products (e.g., dishwashing liquid), contamination inferences are observed for store messiness but not for human crowding. Further, role of perceived scarcity is examined which suggests that in ingestible product category perception of scarcity can mitigate the negative effect of contamination on purchase intention.     

基于消费者购买决策过程的出版社网络营销策略研究

本文以消费者行为研究为基础,分析了出版社网络营销的现状,构建了网络消费者购买决策过程模型,通过对网络消费者购买出版社产品与服务六个阶段影响因素与存在问题的调查,制定出相应的网络营销策略。     

Impact of different types of in-store displays on consumer purchase behavior

Research on consumer in-store shopping behavior does not account for the existence of different types of display locations (e.g. storefront, store rear, secondary, front end cap, rear end cap, and shelf displays). This article focuses on accounting for and understanding the impact of various displays on consumer purchase behavior based on the Stimulus-Organism-Response (SOR) theory. Specifically, we study how displays closer to and farther from the main location of the focal category influence consumer purchase behavior. Furthermore, within the different types of displays we investigate the impact of specific types of displays on consumer's category purchase and brand choice and the moderating role of price and discounts. A hierarchical Bayesian model is estimated using scanner panel data for a large U.S. grocery chain that contains unique information on the number of product facings at multiple display locations within a store. We find that displays closer to the focal category have a larger impact, with front end cap displays having the largest impact on category purchase and shelf displays having the largest impact on brand choice. We also demonstrate the synergistic impact of price and discounts in enhancing the impact of displays on consumer purchase behavior and brand choice. Equipped with these findings we propose a display allocation optimization that results in an average increase in revenue of about 11.15% and a strategy to distribute displays across all locations in the store rather than letting one location dominate.     

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.     

The influence of college students' shopping orientations and gender differences on online information searches and purchase behaviours

Using the data collected from a survey of 1277 US college students, this study investigated college students' shopping orientations, and examined the relationships between their shopping orientations and searches for information about and purchases of apparel products online and the differences between male and female students in their shopping orientations, online information searches and purchase experiences. Seven shopping orientation constructs were identified: shopping enjoyment, brand/fashion consciousness, price consciousness, shopping confidence, convenience/time consciousness, in‐home shopping tendency and brand/store loyalty. Results showed that participants' shopping orientations were significantly related to their searches for information about and purchases of apparel items online. In addition, male and female participants showed significant differences in their shopping orientations, online information searches and purchase experiences. This study provided suggestions for apparel e‐tailors to develop effective marketing strategies to reach their target market, for consumer educators and for educators in the retail merchandizing area to prepare their students for future careers.