Snipers, Shills, and Sharks eBay and Human Behavior

Every day on eBay, millions of people buy and sell a vast array of goods, from rare collectibles and antiques to used cars and celebrity memorabilia. The internet auction site is remarkably easy to use, which accounts in part for its huge popularity. But how does eBay really work, and how does it compare to other kinds of auctions? These are questions that led Ken Steiglitz--computer scientist, collector of ancient coins, and a regular eBay user--to examine the site through the revealing lens of auction theory. The result is this book, in which Steiglitz shows us how human behaviors in open markets like eBay can be substantially more complex than those predicted by standard economic theory. In these pages we meet the sniper who outbids you in an auction's closing seconds, the early bidder who treats eBay as if it were an old-fashioned outcry auction, the shill who bids in league with the seller to artificially inflate the price--and other characters as well. Steiglitz guides readers through the fascinating history of auctions, how they functioned in the past and how they work today in online venues like eBay. Drawing on cutting-edge economics as well as his own stories from eBay, he reveals practical auction strategies and introduces readers to the fundamentals of auction theory and the mathematics behind eBay. Complete with exercises and a detailed appendix, this book is a must for sophisticated users of online auctions, and essential reading for students seeking an accessible introduction to the study of auction theory.eBay, auctions, auction theory, human behavior, open markets, strategies, English auctions, Vickrey auctions

Coordination of Purchasing and Bidding Activities Across Markets

In both consumer purchasing and industrial procurement, combinatorial interdependencies among the items to be purchased are commonplace. E-commerce compounds the problem by providing more opportunities for switching suppliers at low costs, but also potentially eases the problem by enabling automated market decision-making systems, commonly referred to as trading agents, to make purchasing decisions in an integrated manner across markets. Most of the existing research related to trading agents assumes that there exists a combinatorial market mechanism in which buyers (or sellers) can bid (or sell) service or merchant bundles. Todayâ??s prevailing e-commerce practice, however, does not support this assumption in general and thus limits the practical applicability of these approaches. We are investigating a new approach to deal with the combinatorial interdependency challenges for online markets. This approach relies on existing commercial online market institutions such as posted-price markets and various online auctions that sell single items. It uses trading agents to coordinate a buyerâ??s purchasing and bidding activities across multiple online markets simultaneously to achieve the best overall procurement effectiveness. This paper presents two sets of models related to this approach. The first set of models formalizes optimal purchasing decisions across posted-price markets with fixed transaction costs. Flat shipping costs, a common e-tailing practice, are captured in these models. We observe that making optimal purchasing decisions in this context is NP-hard in the strong sense and suggest several efficient computational methods based on discrete location theory. The second set of models is concerned with the coordination of bidding activities across multiple online auctions. We study the underlying coordination problem for a collection of first or second-price sealed-bid auctions and derive the optimal coordination and bidding policies.

Decision-theoretic bidding in online-auctions

With the increasing role of electronic commerce in business applications, much attention is paid to online-auctions. As auctions become more and more popular in electronic commerce, agents face the problem of participating in multiple independent auctions simultaneously or in sequence. Decision making of agents becomes difficult when they have to buy bundles of goods. In this case the agents have to cope with substitutable or complementary effects between the single goods. In this paper we analyse existing approaches of tackling the problem of decision making in multiple, heterogeneous auctions and develop a flexible Dynamic Programming-based decision-making framework for agents, participating in multiple auctions. This work extends existing Dynamic Programming-approaches in this field

Your call: eBay and demand for the iPhone 4

The iPhone 4 was introduced into the UK market on 24th June 2010 to significant consumer interest. This clearly exceeded supply through conventional channels, since there was very extensive activity in terms of bidding on eBay auctions for the product. We monitored all eBay transactions on the iPhone 4 for six weeks from introduction, with total transactions amounting to around £1.5m. We analyse determinants of the winning bid in terms of characteristics of the phone, the seller and the buyer. Our most notable and novel finding relative to previous studies is a very significant premium over list price being paid in almost all cases, with positive uplift factors including whether the phone was unlocked and whether it could be sold overseas. Demand fell over time, as evidenced by lower achieved prices, but the fall in price was relatively modest. A significant premium of 32GB over 16GB versions is revealed.eBay auctions ; demand revelation ; auctions ; bidding ; short supply ; versioning JEL Classification: D44 ; L81 ; D12 ; L63

Environmental analysis for application layer networks

Die zunehmende Vernetzung von Rechnern über das Internet lies die Vision von Application Layer Netzwerken aufkommen. Sie umfassen Overlay Netzwerke wie beispielsweise Peer-to-Peer Netzwerke und Grid Infrastrukturen unter Verwendung des TCP/IP Protokolls. Ihre gemeinsame Eigenschaft ist die redundante, verteilte Bereitstellung und der Zugang zu Daten-, Rechen- und Anwendungsdiensten, während sie die Heterogenität der Infrastruktur vor dem Nutzer verbergen. In dieser Arbeit werden die Anforderungen, die diese Netzwerke an ökonomische Allokationsmechanismen stellen, untersucht. Die Analyse erfolgt anhand eines Marktanalyseprozesses für einen zentralen Auktionsmechanismus und einen katallaktischen Markt. --Grid Computing

Late Bidding, Single Bidding and the Role of Experience in Online Auctions: Evidence from Huuto.net

Online auctions are widely used in sales of collectible items and casual items. This mar-ket is constantly growing due to the growing number of people with access to the inter-net. Even in the newly emerged internet auctions, the traditional auction theory is still providing useful insights into the bidding strategies in auctions with given properties. The question regarding optimal bidding strategy is of interest due to the fact that it pro-vides bidders an edge in competitive markets. Previous studies, which have mostly focused on the eBay-auction model, show that the optimal bidding strategy is to wait until the ending of an auction. These studies also show that there is a tendency to shift towards this strategy while gaining experience as a bidder. However, a closer examination reveals that the strategic advantages of late bid-ding are obsolete in auctions with a soft-close ending rule, such as Huuto.net and Ama-zon. While this has not been previously tested in Huuto.net, empirical results from Am-azon have been as hypothesized. Testing these hypotheses is conducted in this study using similar statistical tests as the previous studies as the methodological approach. The tests are conducted on a data gathered from two product categories in Huuto.net: IPhones and Moomin mugs. This thesis provides a comparative insight into bidding strategies in online auctions with a soft-close ending rule. This study shows that late bidding does not occur in Huuto.net, but in fact quite the opposite. This study shows also that pure single-bidding occurs when a clearer common value component is present, and that the experienced bidders place fewer bids in both product categories.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

A Rule-driven Approach for Defining the Behavior of Negotiating Software Agents

One problem with existing agent-mediated negotiation systems is that they rely on ad hoc, static, non-adaptive, and hardcoded schemes to represent the behaviour of agents. This limitation is probably due to the complexity of the negotiation task itself. Indeed, while negotiating, software (human) agents face tough decisions. These decisions are based not only on the information made available by the negotiation server, but on the behaviour of the other participants in the negotiation process as well. The information and the behaviour in question are constantly changing and highly uncertain. In the first part of the paper, we propose a rule-driven approach to represent, manage and explore negotiation strategies and coordination information. For that, we divide the behaviour of negotiating agents into protocols, strategies and coordination. Among the many advantages of the proposed solution, we can cite the high level of abstraction, the closeness to human understanding, the versatility, and the possibility to modify the agents' behaviour during the negotiation process. To validate our solution, we ran many agent tournaments, and used the rule-driven approach to implement bidding strategies that are common in the English and Dutch auctions. We also implemented simple coordination schemes across several auctions. The ongoing validation work is detailed and discussed in the second part of the paper. Un des inconvénients qu'on retrouve fréquemment dans les systèmes de négociation par agents est qu'ils reposent sur des schémas ad-hoc, non adaptatifs et figés dans le code pour représenter le comportement des agents. Cette limitation est probablement due à la complexité de l'activité de négociation elle-même. En effet, au cours de la négociation, les agents logiciels (humains) ont des décisions difficiles à prendre. Ces décisions ne sont pas seulement basées sur l'information disponible sur le serveur de négociation, mais aussi sur le comportement des autres participants durant le processus de négociation. L'information et le comportement en question changent constamment et sont très incertains. Dans la première partie de l'article, nous proposons une approche à base de règles pour représenter, gérer et explorer les stratégies de négociation ainsi que l'information de coordination. Parmi les nombreux avantages de la solution proposée, on peut citer le haut niveau d'abstraction, la proximité avec la compréhension humaine, la souplesse d'utilisation et la possibilité de modifier le comportement des agents durant le processus de négociation. Pour valider notre solution, nous avons effectué plusieurs tournois entre agents et utilisé l'approche à base de règles pour implémenter des stratégies simples applicables à l'enchère anglaise et à l'enchère hollandaise. Nous avons aussi implémenté des schémas simples de coordination impliquant plusieurs enchères. Le travail de validation, en cours, est détaillé et discuté dans la seconde partie de l'article.e-negotiation, online auction, software agent, negotiation strategy, coordination, rule-based system, rule engine, Négociation électronique, enchères en ligne, agents logiciels, stratégie de négociation, coordination, système à base de règles, moteur de règles

Technology market intermediaries to facilitate external technology exploitation: The case of IP auctions

Recently the phenomena of external technology exploitation (ETE) has started to attract attention from scholars, businesses and politicians likewise alongside with a growth of the markets for technology. However, the markets for technology are still characterized by inhibiting obstacles that lead to high transaction costs, thus prohibit efficient transactions and result in market failure. Although, on the one hand the presence of obstacles lead to high transaction costs, the large market potential on the other hand provides incentives for technology market intermediaries (TMI) to develop new exploitation models to facilitate ETE transactions by reducing transaction costs. Throughout this paper we address the general research question of whether and how new exploitation models can actually facilitate ETE. To address this question, in a first step we generate insights into TMIs acting on the markets for technology and derived a conceptual basis for a further understanding of TMIs. Having carried out a detailed review of the literature, we develop a theory based typology for six TMI archetypes. Throughout this exercise we gain insights into the variety of different functions TMIs have on the markets for technology and various new ways how TMIs try to facilitate ETE transactions. Throughout the second part of this paper, we focus on IP auctions as one particular business model of the archetype “IP Broker”. We investigate this “young” business model presenting first insights into two qualitative studies. In a first step we derive a generic IP auction process based on a qualitative, empirical analysis of IP auction processes. We then translate these results into a theory based process view and derive a generic IP auction process as a specific type of an ETE process. Having thus generated a close understanding of the transaction process, we presented results from four cases of successful transactions, i.e. where patents were sold for particular high prices from two SMEs and two MNCs. The case studies are analyzed according to four main aspects including characteristics of the companies that exploited patented technologies (including motives and selection processes), the patented technology as such, the organization of the transaction and the companies’ perceptions regarding the success of the transactions. --