The Dynamics of Auction


Book Description

Addresses how social interaction forms the foundation to sale of art and antiques worth many billions of pounds each year.




The Dynamics of Auction


Book Description

Each year art and antiques worth many billions of pounds are sold at auction. These auctions consist of numerous, intense episodes of social interaction through which the price of goods rapidly escalates until sold on the strike of a hammer. In this book, Christian Heath examines the fine details of interaction that arises at auctions, the talk and visible conduct of the participants, and their use of various tools and technologies. He explores how auctioneers, buyers and their representatives are able to transact the sale of goods worth anything from a few dollars through to many millions in just seconds. Heath addresses how order, trust, and competition are established at auctions and demonstrates how an economic institution of some global importance is founded upon embodied action and interaction. The analysis is based on video recordings of sales of art and antiques gathered within a range of national and international auction houses in Europe and the United States.




Modeling Online Auctions


Book Description

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data. The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web site Models for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networks Data exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchies The use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction data Specialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research. Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes. Visit this book's companion website by clicking here




The Auction App: How Companies Tap the Power of Online Auctions to Maximize Revenue Growth


Book Description

How companies such as L. L. Bean and Sun Microsystems are using online auctions to help boost their bottom lines From liquidating excess inventory to B2B materials procurement, corporate America has discovered online auctions as a catalyst for redefining old supply-chain relationships and business practices. Most analysts consider them the next big business opportunity. The Auction App details the tools and tactics employed by Sun Microsystems, Coca-Cola, and companies of any size and virtually every industry for creating, conducting, managing, and executing online auctions. Greater numbers of businesses will be able to discover the numerous profitable advantages of utilizing online auctions. The Auction App shows them how to: Liquidate excess inventory Acquire new customers cost-effectively Conduct real-time market research Provide new avenues of cooperation between sellers and suppliers




Spectrum Auctions and Competition in Telecommunications


Book Description

Leading experts in industrial organization and auction theory examine the recent European telecommunication license auction experience. In 2000 and 2001, several European countries carried out auctions for third generation technologies or universal mobile telephone services (UMTS) communication licenses. These "spectrum auctions" inaugurated yet another era in an industry that has already been transformed by a combination of staggering technological innovation and substantial regulatory change. Because of their spectacular but often puzzling outcomes, these spectrum auctions attracted enormous attention and invited new research on the interplay of auctions, industry dynamics, and regulation. This book collects essays on this topic by leading analysts of telecommunications and the European auction experience, all but one presented at a November 2001 CESifo conference; comments and responses are included as well, to preserve some of the controversy and atmosphere of give-and-take at the conference.The essays show the interconnectedness of two important and productive areas of modern economics, auction theory and industrial organization. Because spectrum auctions are embedded in a dynamic interaction of consumers, firms, legislation, and regulation, a multidimensional approach yields important insights. The first essays discuss strategies of stimulating new competition and the complex interplay of the political process, regulation, and competition. The later essays focus on specific spectrum auctions. Combining the empirical data these auctions provide with recent advances in microeconomic theory, they examine questions of auction design and efficiency and convincingly explain the enormous variation of revenues in different auctions.




Profiling Price Dynamics in Online Auctions Using Curve Clustering


Book Description

Electronic commerce, and in particular online auctions, have received an extreme surge of popularity in recent years. While auction theory has been studied for a long time from a game-theory perspective, the electronic implementation of the auction mechanism poses new and challenging research questions. In this work, we focus on the price formation process and its dynamics. We present a new source of rich auction data and introduce an innovative way of modelling and analyzing price dynamics. We represent auctions as functional objects by accommodating the special structure of bidding data. We then use functional data analysis to characterize different types of auctions. Our findings suggest that there are several types of dynamics even for auctions of comparable items. By profiling these differences with respect to features associated with the auction format, the seller and the winner we find new relationships between dynamics and auction settings, and we tie these findings to the existing literature on online auctions.




Mathematics of the Internet


Book Description

The use of the internet for commerce has spawned a variety of auctions, marketplaces, and exchanges for trading everything from bandwidth to books. Mechanisms for bidding agents, dynamic pricing, and combinatorial bids are being implemented in support of internet-based auctions, giving rise to new versions of optimization and resource allocation models. This volume, a collection of papers from an IMA "Hot Topics" workshop in internet auctions, includes descriptions of real and proposed auctions, complete with mathematical model formulations, theoretical results, solution approaches, and computational studies. This volume also provides a mathematical programming perspective on open questions in auction theory, and provides a glimpse of the growing area of dynamic pricing.




Agents and Data Mining Interaction


Book Description

This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Agents and Data Mining Interaction, ADMI 2011, held in Taipei, Taiwan, in May 2011 in conjunction with AAMAS 2011, the 10th International Joint Conference on Autonomous Agents and Multiagent Systems. The 11 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on agents for data mining; data mining for agents; and agent mining applications.




Live Interaction in Online Auctions


Book Description

This thesis empirically examines the influences of the 'live interaction' between buyers and sellers during an online auction for relatively higher valued second-hand products on the final outcome of that auction. The publicly viewable 'Ask the seller a question' forum of TradeMe used car auction pages is selected as the representation of the live interaction. The quantitative count variables from the interaction, along with other structural variables from the auction page, are studied using logistic regression to understand their impact on different performance indicators representing the outcome of an auction. The influence of the actual text data from the buyer-posed questions is also examined using content analysis technique. The results show that the existence of certain live interactions improves the quality of information disclosure in an online auction and thereby increases the probability of a particular auction reaching a better outcome. It is a specific combination of live interaction related variables as well as the structural variables not directly related to live interactions that determine the final outcomes of auctions. The textual analysis shows that an auction is more likely to meet its reserve price when there is more exploratory type of buyer-posed questions and less confirmatory type of questions or comments implying seller frauds. The textual analysis also shows that a concluded auction is more likely to sell at a price premium when there are more exploratory questions and inspection requests from buyers, and less price enquiries.