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.     

Price dispersion of online air tickets for short distance international routes

The travel industry is currently experiencing a major transition as distribution channels change in response to developments in information technology. This study investigated whether online travel agents (OTAs) can offer air tickets with different prices given the lower search costs made possible by the Internet. This investigation first examined the hypothesis that price dispersion does not exist in air ticket offerings by OTAs. Hedonic regression models with log-linear form are then built to explain the pricing characteristics of air tickets. After accounting for differences in ticket attributes, ticket prices were found to vary by as much as 1.859% across OTAs. In other words, different OTAs were offering identical tickets at different prices. Statistically, significant interaction effects existed between airlines and OTAs, suggesting that travelers with specific airline preferences should expect to find different prices on different OTAs, even when ticket attributes are identical. This work thus revealed imperfections in the online air ticket market. It is therefore necessary for fare conscious air travelers to search different web services provided by OTAs to locate the best deal.     

Is transparency a good thing? How online price transparency and variability can benefit firms and influence consumer decision making

The internet has empowered consumers and changed the way they search and shop for products and services by increasing the availability and transparency of pricing and other comparative information. However, what is less clear from a managerial perspective is just how transparent pricing information should be. While it might seem that increasing price transparency would reduce consumer search, we find that it may actually increase search and delay. In this article, we review the use of firms’ application of price transparency in practice and propose that specific types of information can influence how transparent prices are to consumers, and how such transparency can influence consumer decisions in a way that is beneficial for the firm. We focus on a specific form of transparency: whether or not the consumer knows the range of pricing. We also discuss whether a high variability pricing approach versus a low variability pricing approach influences consumer decision making—and whether this influence is moderated by transparency.     

Mixed pricing in online marketplaces

A rich theory literature predicts mixed strategies in posted prices due to standard price discrimination, search frictions, and various other rationales. While typically interpreted as implying occasional sales or price dispersion, online marketplaces enable a firm to truly use randomization as a tool in pricing, and so such behavior should be expected to arise in online settings. We investigate a case of mixed pricing across a large subset of products on a major e-commerce website. We first test for randomizing behavior, and then construct a model of price discrimination that would generate randomization as optimal behavior. We estimate the model and use it to assess pricing effects of a proposed merger in the industry.     

Does Online Information Drive Offline Revenues?: Only for Specific Products and Consumer Segments!

While many offline retailers have developed informational websites that offer information on products and prices, the key question for such informational websites is whether they can increase revenues via web-to-store shopping. The current paper draws on the information search literature to specify and test hypotheses regarding the offline revenue impact of adding an informational website. Explicitly considering marketing efforts, a latent class model distinguishes consumer segments with different short-term revenue effects, while a Vector Autoregressive model on these segments reveals different long-term marketing response.We find that the offline revenue impact of the informational website critically depends on the product category and customer segment. The lower online search costs are especially beneficial for sensory products and for customers distant from the store. Moreover, offline revenues increase most for customers with high web visit frequency. We find that customers in some segments buy more and more expensive products, suggesting that online search and offline purchases are complements. In contrast, customers in a particular segment reduce their shopping trips, suggesting their online activities partially substitute for experiential shopping in the physical store. Hence, offline retailers should use specific online activities to target specific product categories and customer segments.     

Informative Brand Advertising and Pricing Strategies in Internet Markets with Heterogeneous Consumer Search

The use of information intermediaries has been shown to undermine the effect of brand in online markets. In this paper, the effect of consumer search on the relationship between brand advertising and pricing strategies is analysed. Price data are taken from the leading UK motor insurance comparison website, with the advantage that prices can be related to the search characteristics of consumers and to the advertising expenditure of firms. The paper finds that more-advertised firms have lower price rankings at the comparison site, indicating that advertising is informative in this market. The main result is that consumer search weakens the relationship between advertising and pricing. An implication is that increased usage of price comparison sites will make informative brand advertising less important.     

Increasing Price Transparency: Implications of Consumer Price Posting for Consumers' Haggling Behavior and a Seller's Pricing Strategies

In an attempt to gain a better position in haggling, consumers often seek a seller's pricing information (e.g., whether the posted price is negotiable, the discount and transaction prices) before going to that seller. Although traditionally difficult to obtain, such information is becoming increasingly available due to consumer price posting (CPP), whereby consumers post and share their purchase price information on the Internet. In this analytical study, we consider a market in which a seller, who chooses between a fixed price policy and a haggling policy, serves two types of consumers who differ in their willingness to pay and haggling costs. We explore how CPP can affect consumers' behavior and the seller's pricing strategies (i.e., pricing policy and the associated prices). In the absence of CPP, our model features a two-sided uncertainty: the seller does not know individual consumer's type and thus may find it optimal to use a haggling policy to price discriminate consumers, whereas consumers do not readily observe the seller's cost type and pricing policy, and thus are uncertain whether their haggling will be fruitful. In the presence of CPP, consumers' uncertainty about the seller's pricing policy is resolved. Because CPP can improve price transparency, inhibit consumers' acceptance of a posted price and spur price haggling, it seems apparent that it should benefit consumers and hurt the seller. However, our analysis shows that CPP can lead to fewer purchases, higher prices and even a greater seller profit. It further shows that although CPP surely increases information accessibility, it can also reduce the amount of information available to consumers. These results are in sharp contrast to the conventional wisdom in the literature.     

Consumer willingness to pay across retail channels

Published research examining differences in consumer willingness to pay for products at omnichannel and pure-play online retailers is based on non-durable, search products and is equivocal; prices at pure-play online retailers are not always lower. This research examines differences in consumer willingness to pay for online purchases of functional and expressive products that differ in the length of product life, i.e. durable and nondurables at omnichannel versus pure play online retailers. Empirical analysis of consumer-centric, multi-site clickstream data of prices paid show that consumers are willing to pay higher prices for home goods products at omnichannel retailers compared to pure-play online retailers but differ for functional and expressive products. Implications are drawn to assist both omnichannel and PPO retailers in their pricing strategies.     

Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.     

Per piece or per kilogram? Default-unit effects in retailing

Retailers offer a variety of products either per unit or per weight. Depending on the product category, consumers may find either one of these pricing strategies typical and the default. Especially online retailers are increasingly using unit-based prices, which is the non-default for many produce categories. So far, consequences resulting from non-default pricing strategies are unclear. This study addresses the questions of whether and how pricing strategies affect consumer behavior. In a series of four experiments, we show that default pricing strategies exist in the marketplace and that consumers prefer products that retailers offer using default pricing strategies. We also demonstrate that this behavior is due to uncertainty issues when assessing prices in non-default pricing strategies. Furthermore, we elaborate on the influence of weight expectations and explicitly stated weight information on this default-unit effect. The findings suggest that retailers can mitigate negative effects resulting from non-default pricing strategies by providing weight information.     

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.     

Factors affecting farmers market produce prices in Missouri

Produce marketers who participate as farmers market vendors or otherwise directly market their goods should understand not only the location-related characteristics that affect consumer selection of local, fresh produce but also the product attributes that consumers prefer to find in local products. Understanding attribute-price relationships will allow marketers to better plan for value-added marketing opportunities. Using a hedonic pricing model, this study analyzed the influence that product attribute levels have on prices for seven types of produce: sweet corn, tomatoes, cantaloupe, cucumbers, green beans, bell peppers, and zucchini. Based on data collected from Missouri farmers markets, multiple attributes affect produce price variation. In the dataset, one of the strongest effects was exerted by sale location. The importance of this finding is that prices can be collected in a single location and extrapolated to other farmers market locations, which implies reduced search and reporting costs in collecting representative farmers market produce prices. Additionally, a higher weight may increase prices for some types of produce but decrease prices of others after a certain point. Farmers market vendors, as well as other direct marketers, can use attribute pricing information to identify the quality attributes that consumers prefer.     

Duopolists’ Retail Pricing Behavior in Multiple Markets

The law of one price asserts that, with costless trade, prices for identical goods in different countries should be equal after accounting for the exchange rate. The empirical literature suggests that exchange rate pass-through to prices is low and that the law of one price fails; instead, firms are more likely to price to market. This study adds to the literature by examining the pricing strategy of comic book firms within the context of the competition’s pricing behavior in a duopoly industry. Comic books, uniquely, display their retail prices in multiple countries on their cover giving us detailed information about the pricing behavior of each individual firm and their competition which allows us to test a pricing-to-market model. We find that an empirical model of an imperfectly applied law of one price outperforms a simple competitive, pricing-to-market model of pricing. Retail exchange rate pass-through rates between Canada and the United States average 76.8 %. This high exchange rate pass-through rate for comic books exists despite the existence of sticky prices and convenience pricing.     

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.     

Can Banning Spatial Price Discrimination Improve Social Welfare?

We analyze a two-stage sequential-move model of location and pricing to identify firm’s location, output, and welfare. We consider two pricing regimes (mill pricing and spatial price discrimination) and, unlike previous literature, allow in each of them for a non-uniform population density, non-constant location costs (i.e., the setup costs, such rental costs and land prices, differ by firm’s location), and endogenous market boundaries. Under constant location costs, our results show the firm locates at the city center under both mill and discriminatory pricing, and that output is larger under spatial price discrimination. Welfare comparisons are, however, ambiguous. Under non-constant location costs, we find the optimal location can move away from the city center, and does not coincide across pricing regimes. Compared with mill pricing, spatial price discrimination generates a higher level of output. We also find that welfare is higher (lower) under mill than under discriminatory pricing when transportation rates are low (high, respectively).     

The relevance of interaction choice: Customer preferences and willingness to pay

As the number of available channels and ways to use these channels proliferate, current literature and managerial practice assume that broader interaction choice invariably generates value for customers. In light of the costs and complexity of offering these interaction options, the questions become how important having interaction choice is for customers, how much actual willingness to pay exists, and which customer groups particularly value such choice. To investigate this domain, two choice-based conjoint analyses are implemented in the health insurance industry, which provides a unique research opportunity since regulation naturally limits the relevant attributes of offerings. To cope with the substantial heterogeneity in prices for health insurance depending on the insureds' risks, the methodological innovation of quasi-individual pricing is introduced, which leads to highly satisfactory validity of the estimation results. The results indicate that customers have considerable additional willingness to pay for more interaction choice; however, in contrast to the extant literature, this does not hold for all interaction options. Customers' elicited preference structures further show that health insurers can optimize the configuration and pricing of their offerings to improve customers’ experiences and to create value.     

Analysis of Bitcoin prices using market and sentiment variables

This paper proposes an empirical model for analysing the dynamics of Bitcoin prices. To do this, we consider a vector error correction model over two overlapping periods: 2010–17 and 2010–19. Price discovery is achieved through the Gonzalo–Granger permanent‐transitory decomposition. The pricing factors are endogenous linear combinations of the S&P 500 index, gold price, a Google search variable associated to Bitcoin and a fear index proxied by the FED Financial Stress Index. Our empirical analysis shows that during the first period, a linear combination of four pricing factors describes the efficient Bitcoin price. The S&P 500 index and Google searches have a positive effect whereas gold prices and the fear index have a negative effect. In contrast, during the second period, the efficient price behaves idiosyncratically and can be only rationalised by individuals' search for information on the cryptocurrency. These findings provide empirical evidence on the presence of a correction in Bitcoin prices during the period 2018–19 uncorrelated to market fundamentals. We also show that standard empirical asset pricing models perform poorly for explaining Bitcoin prices.     

Uniform or spatially differentiated? Pricing Strategies for Information Goods under simultaneous and sequential decision-making in multi-market context

Product pricing has been one of the central issues in the field of marketing and consumer services for managers and researchers alike. However, pricing of information goods has not been paid much attention in literature. For information goods the marginal costs of production and transportation of information goods (online movies, video games, etc.) is almost zero. Hence, the pricing decisions need to be thought of purely in competitive profit maximizing terms. This paper proposes mechanisms for managers to evaluate and base their pricing decisions on rational frameworks that takes into account various situations when they enter a new market and when they are incumbent in a new market. This paper addresses the research gap of spatially differentiated pricing strategy for information goods that has not been studied in literature so far. We create stylized theoretical models under both, sequential and simultaneous decision-making conditions. We determine the equilibrium price and the equilibrium profit for the two firms for each of the four possible scenarios based on their pricing strategies. Our analysis reveals that the dominance of one pricing strategy over the other depends on product differentiation factor capturing joint effect of the product substitutability and consumer's price sensitivity under sequential decision making and the market size along with consumer's price sensitivity for simultaneous decision making. As an extension, we propose a generalized model demonstrating the uniform and spatially differentiated pricing strategies of the firms under simultaneous and sequential selection for multiple domestic and international markets.     

Pricing behavior in the online DVD market

Using a data set with of 5508 observations collected in the online DVD market, we compare the pricing behavior between online branches of multi-channel retailers (MCRs) and online-only retailers. We find that (1) prices by online-only retailers are lower than prices by online MCRs by an average of $1.51 or 6.8 percent; (2) the price dispersion for the popular titles is sharply lower among online-only retailers than that among MCRs online; and (3) online-only retailers change prices more often than online MCRs although price changes by both types are few. The evidence suggests that the pricing efficiency diminishes as the multi-channel retailing format dominates the online retailing market.