An Empirical Analysis of Bidding Fees in Name-your-own-price Auctions

Interactive pricing mechanisms integrate customers into the price-setting process by letting them submit bids. Name-your-own-price auctions are such an interactive pricing mechanism, where buyers' bids denote the final price of a product or service in case they surpass a secret threshold price set by the seller. If buyers are given the flexibility to bid repeatedly, they might try to incrementally bid up to the threshold. In this case, charging fees for the option to place additional bids could generate extra revenue and reduce incremental bidding behavior. Based on an economic model of consumer bidding behavior in name-your-own-price auctions and two empirical studies, we analytically and empirically investigate the effects bidding fees have on buyers' bidding behavior. Moreover, we analyze the impact of bidding fees on seller revenue and profit based on our empirical results.     

Bidding Strategies and Consumer Savings in NYOP Auctions

We investigate how bidding strategies of successful bidders influence the savings they derive from a Name Your Own Price (NYOP) retailer relative to buying the same product from a retailer who posts prices. Utilizing bidding data for hotel room purchases we demonstrate that consumer savings rate depends positively on consumer decision to haggle (# bids ≥3) and on the shape of the bid function. Relative to non-hagglers (# bids ≤2), hagglers who employ a constant bid increment (i.e., a linear) strategy and a decreasing bid increment (i.e., concave) strategy save more, while those who employ an increasing bid increment strategy (i.e., convex) fare no better. A post hoc analysis also shows that hagglers place many bids in the pursuit of higher quality products, while non-hagglers save friction costs by sacrificing quality (e.g., targeting lower star hotels and adjusting the days of travel).     

(Un)expected Bidder Behavior in Spectrum Auctions: About Inconsistent Bidding and Its Impact on Efficiency in the Combinatorial Clock Auction

The combinatorial clock auction is a two-stage auction format, which has been used to sell spectrum licenses worldwide in the recent years. It draws on a number of elegant ideas inspired by economic theory. A revealed preference activity rule should provide incentives to bid straightforward, i.e., consistent with the bidders’ valuations on a payoff-maximizing package, in each round of the clock phase. A second-price rule should set incentives to bid truthfully in both phases. If bidders respond to these incentives and bid straightforward in the clock phase and truthful in the second sealed-bid stage, then the auction is fully efficient. Unfortunately, bidders might neither bid straightforward in the clock phase nor truthful on all packages in the second sealed-bid stage due to strategic reasons or practical limitations. We introduce metrics based on Afriat’s Efficiency Index to analyze straightforward bidding and report on empirical data from the lab and from the field in the British 4G auction in 2013 and the Canadian 700 MHz auction in 2014, where the bids were made public. The data provides evidence that bidders deviate significantly from straightforward bidding in the clock phase, which can restrict the bids they can submit in the supplementary phase. We show that such restrictions can have a significant negative impact on efficiency and revenue.     

Consumer heterogeneity and online vs. offline retail spatial competition

This paper develops a game-theoretic spatial model featuring consumer heterogeneity in online vs. offline retailers’ spatial competition. We find that consumers’ browse-and-switch behavior intensifies the competition because both offline and online retailers’ price and profit decline when the behavior occurs, but it is not necessarily a threat to offline retailers especially when the product relates more closely to experience. We consider six equilibrium scenarios for different combinations of consumer behaviors when considering a hybrid retailer. The analysis taking consumer heterogeneity into consideration shows that the hybrid retailer operating both online and offline is not always the winner. Particularly, the business opportunity for the offline retailer lies in consumers’ willingness to pay in store, and whether the retailer launches an online store depends on the type of products and services provided.     

Experts and Amateurs: The Role of Experience in Internet Auctions

The use of auctions as a pricing mechanism has grown dramatically over the last few years. The introduction of electronic auctions has significantly widened the pool of consumers who participate in auctions and increased the number of companies attempting to sell their products in an auction format. Previous empirical research on auctions has focused almost exclusively on the behavior of professional bidders in high stakes common value auctions or the behavior of students in laboratory experiments. We collect data on a large number of electronic auctions, across four product categories, to explore the behavior of consumers bidding in a real marketplace. In particular, we focus on the role experience plays in their bidding behavior to uncover whether consumer learning drives the bidding process towards outcomes described in the theoretical literature on auctions. We find that experience does indeed lead to behavior which is more consistent with theory although the proportion of experienced bidders who behave in a manner inconsistent with theory remains quite large.     

The effect of experience on Internet auction bidding dynamics

On the basis of the bidding history of a panel of new eBay bidders, we examine the impact of different types of experiences on bidding behavior evolution. Accounting for unobserved bidder heterogeneity, the results indicate that losing experiences make the bidders’ bidding behavior evolve toward the normative predictions of auction theory, in that they submit fewer bids and bid later. Winning experiences, however, do not have such an effect. Moreover, the experience effect pertains to the bidder’s entire previous bidding experience regardless of product categories. We also assess the potential bias introduced by using feedback ratings (compared with actual participation) as experience measures.

Name-your-own-price as participative pricing strategy: a review of the literature from 2001–2017

ABSTRACT

Name-your-own-price (NYOP), a pricing strategy often referred to as a reverse auction, is a participative pricing mechanism in which consumers have a relatively high control over the price they pay for a product or service. In an NYOP mechanism, buyers generate the final price of a product or service when they bid above an unrevealed threshold price set by the seller. Although NYOP as a pricing strategy was previously investigated, the literature remains scarce and fragmented. This paper attempts to assemble the relevant findings of this pricing strategy, by systematically reviewing all publications from 2001 to 2017. We explored the impacts of this mechanism for companies and consumers, such as increased profit for companies and higher savings for consumers, reduced competition for companies and increased satisfaction for consumers. We also highlighed the best practices of NYOP, such as the bidding practices, threshold price, and willingness to pay.     

Strategic Bidding for Multiple Units in Simultaneous and Sequential Auctions

A buyer in an electronic marketplace may be interested in buying a bundle of items, where any one item in the bundle may not be of particular interest. The emergence of online auctions allow such users to obtain bundles by bidding on different simultaneous or sequentially run auctions. Because the number of auctions and the number of combinations to form the bundles may be large, the bundle bidding problem becomes intractable and the user is likely to make sub-optimal decision given time constraints and information overload. We believe that an automated agent that takes user preferences and budgetary constraints and can strategically bid on behalf of a user can significantly enhance user profit and satisfaction. Our first step to developing such an agent is to consider bundles containing many units of a single item to be bought from auctions that sell only multiple units of one item type. We assume that users obtain goods over several days. Expectations of auctions and their outcome in the future allow the agent to bid strategically on currently open auctions. We present an expected utility based strategy to decide how many items to bid for in the current auctions, and the maximum price to bid for each item. We evaluate our proposed strategy in different configurations by varying the number of items sold per auction, number of concurrently running auctions, expected closing prices, etc. We simulate several multiple unit English auctions per day, over multiple days, where most of the bidders bid their true utilities drawn from a distribution. The strategic bidding agent has knowledge of this distribution and uses it to determine its bids. A strategic agent who looks farther ahead into the future produces larger returns when there are few strategic bidders. We also evaluate the effect of risk attitudes on the relative performance of the bidders.     

Optimal retail sales strategies for old and new products in monopoly and horizontal competition scenarios

Advances in technology have made product updates more frequent and allowed consumers to choose different versions of the same product based on their preferences. It is crucial for retailers to understand how to formulate optimal sales strategies based on those different consumer preferences. To this end, we develop game models that consider the heterogeneity of consumer preferences under both monopoly and horizontal competition scenarios and perform the sensitivity analysis to examine the impact of consumer proportions and consumer preferences on retailers’ sales strategies. The results show that (i) regardless of competition or monopoly status, the original retailer can always maximize profit by setting prices based on the market share of traditional consumers, as long as the retailer sells both new and old versions of the product; (ii) the greater the competitive advantage of the competitor, the more advantageous the hybrid sales mode; (iii) if the price of the old product is below a certain threshold, there will be a positive profit for the original retailer when selling both the old and new products; and (iv) when consumer acceptance of competing retailers is lower, entering the retail market is not a good choice for competing retailers.     

Empirical investigation of channel reactions to brand introductions

We investigate how incumbent manufacturers and retailers alter their pricing behavior in response to new product introduction. In performing our analysis, we need to be cognizant of the fact that the observed price changes can be due to entry-induced changes in a) demand conditions or b) costs or, on the other hand, to the competitive behavior of c) manufacturers and/or d) the retailer. In order to separate these four changes, we posit that manufacturer and retailer pricing is an outcome of maximizing a combination of shares and profits. This enhanced objective function allows us to measure competitive conduct benchmarked as less or more competitive than under the Bertrand-Nash framework. Our empirical analysis is based on the toothpaste category for the time period January 1993–February 1995. During this period, there were three brand introductions in two rounds of entry. Using the estimates from the demand and the supply model, we compute the changes in the retail and wholesale prices that are attributable to changes in demand conditions, manufacturer and retailer competitive conduct, and cost changes. These results support our conjecture that inferring the change in conduct solely based on a change in observed prices is likely to be erroneous. For the first new brand entry, we find that the brand introduction did not significantly increase competition between manufacturers. As a result, the balance of channel power between the manufacturers and the retailers remained unaltered. Both retailer and manufacturer profit margins increased after the first entry. However, subsequent to the second entry, retailer share of channel profits increased at the expense of the manufacturers; manufacturers even saw a decline in their absolute profit margins. We believe that this research will provide insight for manufacturers and retailers regarding how the various channel participants are likely to react to new product introduction. Furthermore, policymakers interested in understanding competitive reactions to new product introduction should find this research useful.     

Procurement bidding with restrictions

In many procurement situations with simultaneously offered projects, firms face participation restrictions and can bid only on a subset of the projects. This phenomenon is prevalent in a variety of observed situations such as bidding for private label supplies, business to business procurement or government projects. We show that for the case of n bidding firms where each is restricted to bid on a subset of the offered projects, there exists a symmetric equilibrium in which each bidder has a positive expected equilibrium profit. Prices are bounded away from marginal costs even if all the bidders are homogenous. This results from the fact that there is a positive probability that each firm will find itself in the position of being the sole bidder on a project. While the equilibrium probability of bidding on a project increases with its value, it is interesting to note that the bidding probability on the projects approaches an equiprobable one as the number of bidding firms increases. We find that the equilibrium profits decrease as firms are able to bid on more of the available projects. In contrast, bidder commitment to bid on specific projects increases the equilibrium profits of all firms. We also examine the effect of heterogeneity on equilibrium profits. Greater heterogeneity in the project valuations leads to lower firm profits. On the other hand, heterogeneity among bidders in terms of the number of projects that they are constrained to bid on leads to greater profits for the firms that can bid on more projects (regardless of the mix of the firms in the industry.) Finally, we analyze the effect of uncertainty in project valuations and show greater uncertainty in project valuations (as represented by a mean preserving spread) decreases the equilibrium profits. We conclude with an empirical analysis of bidding behavior that tests the predictions of the theory. We find that the probability of bidding on a particular project is increasing in its value, decreasing in the other projects values and decreasing in the number of bidding subjects. Furthermore, the value of the bids on a project increase with its valuation and decrease with the total number of bidders.

The Effect of Social Cues on Sniping Behavior in Internet Auctions: Field Evidence and a Lab Experiment

This research explores how social cues presented in an online auction affect sniping behavior. Sniping is a strategy of placing a bid on an item in the very ending stages of an auction with a pre-determined ending time in an attempt to win the auction. Such a strategy conceals the intentions of the bidder until the last moments of the auction and minimizes the possibility of other opposing bidders submitting higher bids due to the short period of time left to respond. The research includes two field studies and a lab experiment indicating that sniping appears to be influenced by social factors, that is, when there are a greater number of bidders in the auction or the auction site provides social information about the bidders, the relative use of sniping increases. This research supports the perspective that bidders rely on others' bidding behavior and characteristics as an indication of the true value of the item on sale, and is one of the first studies in the literature which takes this perspective.     

Auctioning countermeasures in the WTO

We offer a first formal analysis of auctioning retaliation rights within the WTO. We show that the auctions exhibit externalities among bidders, and we characterize equilibrium bidder behavior under alternative auction formats. If the violating country is prevented from bidding to retire the right of retaliation against it, then the possibility of “auction failure” arises, whereby no bids are made despite positive valuation by bidders. If the violating country is instead permitted to bid, then auction failure is precluded, and indeed the right of retaliation is always retired. We evaluate these different auction formats from normative (revenue, compliance, efficiency) standpoints.     

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.     

Pricing and return strategy of online retailers based on return insurance

With the development of e-commerce, online shopping has become increasingly common, and as a result, consumers inevitably encounter the problem of returns. Therefore, pricing, return policy and return insurance strategy have attracted considerable research attention. In this paper, we construct four models to study pricing, return policy and return insurance strategy. We show that when a product's net residual value is greater than or equal to zero, online retailers should offer a money-back guarantee (MBG) return policy; however, they do not have to offer free return insurance because the latter does not increase their market share and profit, nor does it increase consumer surplus. The optimal strategy of insurance providers is unaffected by whether the policyholder is an online retailer or a consumer and should be neutral, which helps insurance providers gain the trust of policyholders. Consumers should buy products only when online retailers offer an MBG return policy; however, consumers should not do so if the online retailer provides free return insurance.     

Everyday “low price” or everyday “value”? The interactive effects of framing and construal level on consumer purchase intentions

Academic literature uses the term “everyday low price” (EDLP) when referring to a pricing strategy that offers relatively stable, low prices across a wide assortment of product categories. However, in real-world situations, many brands and retailers opt to use a different term – “everyday value” (EDV). Do consumers differentially evaluate such framings of the same pricing strategy? The present research draws upon construal level theory and demonstrates – across two experimental studies – that EDV (vs. EDLP) framing is more effective among consumers with high (but not low) construal levels. This effect is mediated by perceived benefit such that consumers with high construal levels derive higher levels of perceived benefit when evaluating a product promoted with an EDV (vs. EDLP) framing. The findings of this research can be useful for marketers and retailers in promoting and framing the EDLP (or EDV) pricing strategies in their advertising and marketing communications.     

Consequences of Riding Takeover Waves: Australian Evidence

This paper uses Australian data to analyze takeover bid premiums and long‐term abnormal returns for mergers that occur during wave and non‐wave periods. Findings reveal that bid premiums are slightly lower in wave periods, and bidding firms earn normal post‐takeover returns (relative to a portfolio of firms matched on size and survival) if their bids were made in non‐wave periods. However, bidders who announced their takeover bids during wave periods exhibit significant underperformance. For mergers that took place within waves, there is no difference in bid premiums nor is there a difference in the long‐run returns of bidders involved during the first half and second half of the waves. We find that none of prominent theories of merger waves (managerial, misvaluation, and neoclassical) can fully account for Australian takeover waves and their effects. Instead, our results suggest that Banal‐Estanol et al.'s screening theory of merger activity, by combining the misvaluation and neoclassical theories, may provide a better explanation.     

Compete in Price or Service?—A Study of Personalized Pricing and Money Back Guarantees

Retailers use both pricing and service strategies to respond to intensified competition. Here we develop a duopoly model to investigate the impact of the increasingly popular personalized pricing strategy (PPS) and the widely used Money Back Guarantee (MBG) customer returns policy. We consider two retailers who differ in customer satisfaction rates. Each retailer chooses a pricing strategy, PPS or uniform pricing, and a product return strategy, MBG or ‘no returns.’ We show that both PPS and MBG are dominant strategies, but their impact on retailers’ prices and profits are different; while PPS intensifies price competition and may lead to a prisoner’s dilemma in which both retailers may lose profit, MBG mitigates price competition and may result in a Pareto improvement in both retailers’ profits. Both PPS and MBG increase the size of the overall market, but not the total duopoly profit. The total customer surplus and social welfare may increase under either strategy. In addition, we obtain some interesting observations as to how our results may change if the product quality/customer satisfaction rate is endogenously chosen in the duopoly. Some of our findings are in contrast to related results reported in the literature.     

具有服务策略的双渠道供应链定价问题研究

本文研究了零售商提供服务的双渠道供应链,分析了零售商在不同的服务成本下提供服务对于供应商和零售商定价策略的影响。研究发现提供服务对于零售商不仅可以扩大利润,还可以把提供服务当作一种有效策略,应对来自电子商务渠道的利润吞噬,通过利润分享从而延缓渠道之间的冲突;只有服务系数小于一个临界值时,提供服务才能使零售商和供应商同时得到帕累托改进。因此,零售商应不断提高服务效率,为消费者提供更高效的服务。     

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.