Thinking or Feeling the Risk in Online Auctions: The Effects of Priming Auction Outcomes and the Dual System on Risk Perception and Amount Bid

The present research sheds new light on the antecedents and outcomes of bidders' perceived risk. It examines the role of the two-system model in the context of activating the potential to either win or lose an online auction. This study demonstrates that when a bidder's affective system is primed, concern about losing the item is greater and ultimately the bid amount is higher when the bidder expects to lose rather than win. Conversely, when the cognitive system is primed, the anticipated goals of winning the auction – rather than the fear of losing – drive the bidder's actions. In the latter case, the bidder pays a higher amount if the expectancy of winning is primed, as opposed to the expectancy of losing. A field study on eBay and two lab studies confirm this phenomenon.     

The impact of jump bidding in online auctions

This paper reports findings of two field studies, conducted on a local online auction website, that compare bidding strategies in charity and non-charity auctions, focusing on the extent of jump bidding at different stages of auctions. Results indicate that jump bidding is negatively correlated with bidder entry and positively associated with ending prices. These correlations are greatest during the beginning stage of auctions and are substantially larger for charity auctions than for non-charity auctions. Additionally, early-stage jump bidding occurred more often in charity auctions (consistent with bidders trying to drive up prices in charity auctions), ending-stage jump bidding was more frequent in non-charity auctions (possibly used strategically to win the auction). Further, frivolous products tended to sell at a higher proportion of retail value in charity auctions, providing a replication of the results of previous researchers but in a field setting.     

When to sell an asset amid anxiety about drawdowns

We consider risk‐averse investors with different levels of anxiety about asset price drawdowns. The latter is defined as the distance of the current price away from its best performance since inception. These drawdowns can increase either continuously or by jumps, and will contribute toward the investor's overall impatience when breaching the investor's private tolerance level. We investigate the unusual reactions of investors when aiming to sell an asset under such adverse market conditions. Mathematically, we study the optimal stopping of the utility of an asset sale with a random discounting that captures the investor's overall impatience. The random discounting is given by the cumulative amount of time spent by the drawdowns in an undesirable high region, fine‐tuned by the investor's personal tolerance and anxiety about drawdowns. We prove that in addition to the traditional take‐profit sales, the real‐life employed stop‐loss orders and trailing stops may become part of the optimal selling strategy, depending on different personal characteristics. This paper thus provides insights on the effect of anxiety and its distinction with traditional risk aversion on decision making.     

Reducing information asymmetry in the auctioning of non-perishable experience goods: The case of online wine auctions

We highlight the importance of reducing the perceived risk associated with information asymmetry for experience goods. We analyse a major online non-perishable experience good, wine, from the seller's perspective. The mechanism for lowering information asymmetry is the verification service offered by the auctioneer. By focusing on unsold items/lots, the wine and auction characteristics affecting the probability of a sale are identified. Results show that the verification of the wine's provenance increases the probability of sale by 5.7 percent and leads to an expected increase of 5.1 percent in the auction price. When both effects are combined, the increase in the expected revenue of the seller is 7.3 percent. We test and find no evidence of selection bias. Given the heterogeneity in wine prices, a quantile regression analysis shows how the results differ for high-priced wines compared to lower priced wines. Results highlight how the mechanisms to lower the degree of information asymmetry work both in attracting bidders to online auctions and encouraging bidders to submit higher bids.     

Role of product entry and exit on the attraction effect

The attraction effect illustrates a violation of the regularity assumption in consumer choice. This effect increases the share of a target brand, relative to a competitor, when a third alternative is added to the choice set such that the target dominates the third alternative completely but the competitor does not. The effect has important marketing implications for design and presentation of choice sets to consumers. This paper studies the influence of sequential product entry and exit on the attraction effect; specifically, it focuses on the differences among simultaneous entry, delayed product entry, and product exit. Using two experiments, the paper shows that even sequential actions, such as entry or exit of products, predictably produce the attraction effect.     

The Influence of Seller,Auctioneer, and Bidder Factors on Trust in Online Auctions

A growing body of research promotes the importance of trust in the business-to-consumer e-commerce environment. However, there has been little research on consumer trust in the new frontier of consumer-to-consumer (C2C) online auctions. The current study investigates the factors that influence bidders’ trust in online auctions from seller (trust arguments), bidder (disposition to trust), and auctioneer (structural assurance and perceived Web risk) perspectives in order to provide a more comprehensive understanding of trust in the C2C environment. Laboratory experiments (manipulating the trust arguments in “about me” page) and online questionnaire surveys (measuring the subjects’ responses regarding structural assurance, perceived risk, disposition to trust, trust, and purchase intention) were conducted to collect necessary data. The results suggest that benevolent sellers significantly influence the trust of bidders. Analysis also finds that structural assurance is the most influential predictor of trust, which significantly influences a buyer's intention to purchase. In addition, disposition to trust is a significant predictor of trusting belief, whereas perceived Web risk does not predict purchase intention.     

Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games

Firms in durable good product markets face incentives to intertemporally price discriminate, by setting high initial prices to sell to consumers with the highest willingness to pay, and cutting prices thereafter to appeal to those with lower willingness to pay. A critical determinant of the profitability of such pricing policies is the extent to which consumers anticipate future price declines, and delay purchases. I develop a framework to investigate empirically the optimal pricing over time of a firm selling a durable-good product to such strategic consumers. Prices in the model are equilibrium outcomes of a game played between forward-looking consumers who strategically delay purchases to avail of lower prices in the future, and a forward-looking firm that takes this consumer behavior into account in formulating its optimal pricing policy. The model outlines first, a dynamic model of demand incorporating forward-looking consumer behavior, and second, an algorithm to compute the optimal dynamic sequence of prices given these demand estimates. The model is solved using numerical dynamic programming techniques. I present an empirical application to the market for video-games in the US. The results indicate that consumer forward-looking behavior has a significant effect on optimal pricing of games in the industry. Simulations reveal that the profit losses of ignoring forward-looking behavior by consumers are large and economically significant, and suggest that market research that provides information regarding the extent of discounting by consumers is valuable to video-game firms.

Entry mode selection and its impact on an incumbent supply chain coordination

This paper considers a supply chain where a manufacturer sells its product through a retailer. In such a market, a potential entrant can make a substitute product by imitating the incumbent's product and then sells it to the common market with one of three alternative entry modes: (i) selling through the incumbent's retailer, (ii) selling through another independent retailer, or (iii) selling directly to consumers. Faced with the entrant's entry, the manufacturer has managed to offer a value-added service to add to its product's value at a cost. We investigate the entrant's optimal entry mode when the manufacturer offers profit-sharing contracts to the retailer and when it does not, and discuss the impact of the potential invader's entry on the incumbent firms' performances. The results show that: (1) the entrant sells directly to consumers when faced with weak value competition, and sells through another retailer against fierce value competition. (2) If the value competition is relatively fierce and the efficiency of the value-added service is relatively high as well, the incumbent firms can benefit from the new entry. (3) A profit-sharing contract, as a coordination policy, can fully coordinate the incumbent supply chain no matter whether there exists a potential entrant or not, yet the entry can affect the distribution of the profits between the incumbent manufacturer and retailer.     

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.     

On The Reference Point Effect of Reserve and Buy It Now Prices

In recent years, a trend in retail pricing has been to give consumers greater autonomy in setting their own prices, be it through auctions or other forms of participative pricing. Such consumer pricing autonomy often requires the seller to set limits in the form of price floors and price ceilings. Price floors and ceilings in our auction settings are referred to as reserve prices (RP) and Buy It Now (BIN) prices, respectively. We examine the effect of RP and BIN presence and magnitude on the number of bidders and ending price. Using auctions, we uncover consumers’ willingness to pay (WTP) through bids. WTP is malleable through reference cues. Our focus is on two such cues: BINs and RPs. Results of two field studies, augmented with a laboratory study, show that both BINs and RPs result in lower bidder entry, but have an overall positive effect on ending price. Furthermore, results show that RP is more effective than a comparable BIN magnitude and that these two pricing cues are substitutes. The study design allows the authors to rule out alternative explanations. Open RP and BIN's effect on ending price is due to a reference point effect rather than a price truncation effect. Thus, retailers can increase WTP through changing these reference cues and exploit a richer choice set over which to shape a malleable WTP. The quantification of the interaction between RP and BIN gives managers the ability to jointly take advantage of both RP and BIN.     

Bidder motives in cause-related auctions

We study cause-related auctions where a percentage of the dynamically determined purchase price of an item is donated to charity. Little is known about the effectiveness of such auctions. Bidders who value donations to charity have an incentive to bid more aggressively in such auctions. Regardless of whether they win or not, these bidders can significantly affect prices. The purpose of this paper is to study bidders' willingness to pay a premium in charity auctions and the drivers that affect the charity premium. We use a carefully designed field experiment involving simultaneous pairs of auctions that are identical in all respects but percentage of the proceeds donated to charity. This design gives us the ability to look at bidder choice among auctions based on charitable considerations. We use a mixture model approach to allow for different types of individual preferences. We find that individuals fall into three segments: two altruistic segments and a selfish segment. The altruistic segments, which drive up the charity premium, can be classified as warm glow bidders who derive pleasure from the act of giving and other-regarding bidders who give for selfless reasons. Results show that the difference in donation percentages is the major factor influencing the charitable premium. However, bidders differ considerably in their responses to donation percentages. While other-regarding bidders tend to seek auctions where a greater percentage of revenue is donated to charity, warm glow bidders only contribute when the charity premium is sufficiently low. Thus, managers should focus their marketing efforts on appealing to these different segments, depending on the percentage donated to charity.     

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.     

How does the learning climate affect customer satisfaction?

This study investigates the role of the learning climate in the effective management of salespersons' behaviour in service encounters. This paper reports the development and testing of a two-level model in which salespersons' perceptions of the learning climate are related to their adaptive selling behaviour and their adaptive selling behaviour is, in turn, related to customers' evaluation of the salespersons' knowledge of customers and customer satisfaction. A total of 417 service encounters involving 88 bank consultants were analysed using hierarchical linear modelling, with results that support most of the proposed model. More specifically, learning climate was positively related to adaptive selling behaviour, and adaptive selling behaviour was directly related to customer satisfaction. In addition, adaptive selling behaviour was associated with customer satisfaction through customers' perception of the salesperson's knowledge. Both theoretical and practical implications are discussed.     

Learning to export from neighbors

This paper studies how learning from neighboring firms affects new exporters' performance. We develop a statistical decision model in which a firm updates its prior belief about demand in a foreign market based on several factors, including the number of neighbors currently selling there, the level and heterogeneity of their export sales, and the firm's own prior knowledge about the market. A positive signal about demand inferred from neighbors' export performance raises the firm's probability of entry and initial sales in the market but, conditional on survival, lowers its post-entry growth. These learning effects are stronger when there are more neighbors to learn from or when the firm is less familiar with the market. We find supporting evidence for the main predictions of the model from transaction-level data for all Chinese exporters over the 2000-2006 period. Our findings are robust to controlling for firms' supply shocks, countries' demand shocks, and city-country fixed effects.     

My username is IN! The influence of inward vs. outward wandering usernames on judgments of online seller trustworthiness

Previous research showed that words for which the consonant articulation spots wander from the front of the mouth to the back (e.g., EPOK; inward) are preferred over words with the reversed sequence (e.g., EKOP; outward). In the present research, we extended this effect to judgments of online seller trustworthiness and choice of transaction partners. In seven experiments in the context of the online auction market eBay, we show that the mere use of inward compared to outward usernames increases the level of trustworthiness ascribed to online sellers (Experiments 1A, 1B, 2, 4A, 4B) and the likelihood that a seller is chosen for the economic transaction (Experiment 5). As a boundary condition, this effect is reduced when diagnostic information about the seller's reputation is introduced (Experiment 3). We discuss these results in terms of their practical implications for marketing strategies of online sellers and in terms of their relation to research on interpersonal trust.     

Pricing coordination of a dual-channel supply chain considering offline in-sale service

With the rapid development of e-commerce, the problem of pricing conflicts between online and offline channels has become increasingly prominent. And the in-sale service has become an important factor influencing consumers' purchase decisions. To study the impact of in-sale service, this paper establishes a dual-channel supply chain model considering offline in-sale service. Using Stackelberg's game theory and backward induction, it solves the optimal pricing of supply chain members and makes comparisons in both cooperative and non-cooperative situations. Finally, it coordinates the supply chain through a two-part tariff contract. The results show that (1) The optimal wholesale price and offline retail price are positively correlated with in-sale service quality. And the opposite of the optimal online direct selling price. (2) With the quality of in-sale service improving, the retailer's profit will increase and then decrease but the manufacturer's profit will always decrease under non-cooperation. The total profit of the supply chain will rise and then fall under cooperation. (3) The two-part tariff coordination maximizes profits with the manufacturer reducing the wholesale price and the retailer paying a transfer cost. (4) Cooperative decision is better than the non-cooperative decision in terms of the supply chain as a whole.     

INDIFFERENCE PRICES AND IMPLIED VOLATILITIES

We consider a general local‐stochastic volatility model and an investor with exponential utility. For a European‐style contingent claim, whose payoff may depend on either a traded or nontraded asset, we derive an explicit approximation for both the buyer's and seller's indifference prices. For European calls on a traded asset, we translate indifference prices into an explicit approximation of the buyer's and seller's implied volatility surfaces. For European claims on a nontraded asset, we establish rigorous error bounds for the indifference price approximation. Finally, we implement our indifference price and implied volatility approximations in two examples.     

Expanding to direct channel: Market coverages as entry barrier

A direct marketer can be either a manufacturer selling directly to the final consumers or a retailer that sells an assortment of products from multiple manufacturers. From a manufacturer's point of view, expanding to an online direct channel seems very attractive because intermediaries can be bypassed in reaching final consumers, while the Internet has substantially lowered the entry barrier. With the rapid diffusion of electronic commerce, numerous manufacturers have been considering a direct online channel as an alternative or a supplement to existing retailer channels. However, we observe in the real market that not many manufacturers are fully engaged in online retailing. One major factor frequently mentioned is the conflict with existing dealers who will not be pleased with a manufacturer's attempt to cannibalize their sales. This paper attempts to provide another explanation by comparing theoretical market coverage of manufacturers in a direct channel and a channel with intermediaries. We show that the direct channel can support fewer firms than the traditional retailer channel does, which becomes an effective entry barrier to latecomers. In equilibrium, the products are positively but finitely differentiated in their qualities, and the top two quality tiers would capture more than 75% of the direct channel's market potential (i.e., the “finiteness property”). Thus latecomers would find it difficult to gain a substantial market share against the existing pioneers in the competitive direct market unless they can find other meaningful ways to differentiate horizontally. The sales data of the online retail industry supports our finding.     

Logistics mode strategy of firms selling fresh products on e-commerce platforms with private brand introduction

The popularity of online shopping has enticed many firms selling fresh products to establish third-party stores on e-commerce platforms. For those firms. adopting which logistics mode between platform logistics and third-party logistics (TPL) for their third-party stores is the real decision problem. Moreover, many platforms have introduced their private brands of fresh products to occupy more make share, which will inevitably affect firms' operation strategies. To explore the optimal logistics mode strategy of firms selling fresh products on platforms and the impacts of platform private brand introduction on those firms' operation strategies, four theoretical models are constructed. Main results show that regardless of whether platforms have introduced their private brands of fresh products or not, the optimal logistics mode strategy depends on the sizes of the platform logistics cost and the service level difference between platform logistics and TPL. Furthermore, introducing platform private brands of fresh products will increase firms' willingness to adopt TPL for their third-party stores on platforms. These main results are robust considering the existence of fresh product supplier and different consumer's sensitivity to freshness-keeping efforts.     

To Defend or Not to Defend? How Responses to Negative Customer Review Affect Prospective customers' Distrust and Purchase Intention

Negative online reviews are a ubiquitous problem that affects every online seller at some point. It can lead to prospective consumers' distrust and decrease future purchase intention. Therefore, formulating a proper response is essential for minimizing these negative effects. Based on the ability–motivation paradigm and stability attribution, we find that apology works better when the alleged cause is relatively unstable (e.g., competence-based negative review) and when the seller has a high ability to change. However, when the alleged cause is relatively stable (e.g., integrity-based negative review) or when the seller has a low ability to change, we show that it is better for the seller to defend its reputation. In addition, we demonstrate that a remedial action plan in the seller's response can reinforce the motivation to change communicated through apology. Thus, coupled with a remedial action plan, apology works better than defending one's reputation, regardless of the negative online review type.