Modeling Online Auctions
Modeling Online Auctions

Author: Wolfgang Jank

Publisher: John Wiley & Sons

Published: 2010-12-01

Total Pages: 321

ISBN-13: 1118031865

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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

Marketing Intelligent Systems Using Soft Computing
Marketing Intelligent Systems Using Soft Computing

Author: Jorge Casillas

Publisher: Springer Science & Business Media

Published: 2010-09-30

Total Pages: 476

ISBN-13: 3642156053

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Dr. Jay Liebowitz Orkand Endowed Chair in Management and Technology University of Maryland University College Graduate School of Management & Technology 3501 University Boulevard East Adelphi, Maryland 20783-8030 USA jliebowitz@umuc. edu When I first heard the general topic of this book, Marketing Intelligent Systems or what I’ll refer to as Marketing Intelligence, it sounded quite intriguing. Certainly, the marketing field is laden with numeric and symbolic data, ripe for various types of mining—data, text, multimedia, and web mining. It’s an open laboratory for applying numerous forms of intelligentsia—neural networks, data mining, expert systems, intelligent agents, genetic algorithms, support vector machines, hidden Markov models, fuzzy logic, hybrid intelligent systems, and other techniques. I always felt that the marketing and finance domains are wonderful application areas for intelligent systems, and this book demonstrates the synergy between marketing and intelligent systems, especially soft computing. Interactive advertising is a complementary field to marketing where intelligent systems can play a role. I had the pleasure of working on a summer faculty f- lowship with R/GA in New York City—they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.

Statistical Methods in e-Commerce Research
Statistical Methods in e-Commerce Research

Author: Wolfgang Jank

Publisher: John Wiley & Sons

Published: 2008-12-29

Total Pages: 451

ISBN-13: 0470323183

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This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.

Continuing to Broaden the Marketing Concept
Continuing to Broaden the Marketing Concept

Author: Dawn Iacobucci

Publisher: Emerald Group Publishing

Published: 2020-09-17

Total Pages: 328

ISBN-13: 1787548244

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Review of Marketing Research is a publication covering the important areas of marketing research with a more comprehensive state-of-the-art orientation. The chapters in this publication review the literature, offer a critical commentary, develop an innovative framework and discuss future developments, as well as present specific empirical studies.

Information Quality
Information Quality

Author: Ron S. Kenett

Publisher: John Wiley & Sons

Published: 2016-10-13

Total Pages: 384

ISBN-13: 1118890655

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Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools. Technology, however, fails to deliver insights with added value if the quality of the information it generates is not assured. Information Quality (InfoQ) is a tool developed by the authors to assess the potential of a dataset to achieve a goal of interest, using data analysis. Whether the information quality of a dataset is sufficient is of practical importance at many stages of the data analytics journey, from the pre-data collection stage to the post-data collection and post-analysis stages. It is also critical to various stakeholders: data collection agencies, analysts, data scientists, and management. This book: Explains how to integrate the notions of goal, data, analysis and utility that are the main building blocks of data analysis within any domain. Presents a framework for integrating domain knowledge with data analysis. Provides a combination of both methodological and practical aspects of data analysis. Discusses issues surrounding the implementation and integration of InfoQ in both academic programmes and business / industrial projects. Showcases numerous case studies in a variety of application areas such as education, healthcare, official statistics, risk management and marketing surveys. Presents a review of software tools from the InfoQ perspective along with example datasets on an accompanying website. This book will be beneficial for researchers in academia and in industry, analysts, consultants, and agencies that collect and analyse data as well as undergraduate and postgraduate courses involving data analysis.

Identity, Inequity and Inequality in India and China
Identity, Inequity and Inequality in India and China

Author: Ayo Wahlberg

Publisher: Routledge

Published: 2017-07-05

Total Pages: 240

ISBN-13: 1351563343

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This volume explores how difference is constructed, manifested, mobilised and obscured in socially uneven societies, particularly those fuelled by neoliberal economic growth in the recent years.The book approaches difference as a double edged concept that allows one to make sense of the tensions that are played out between ?cosmopolitan? convergence and ?multicultural? diversity, between expanding middle classes and increasingly disenfranchised poor groups, between the global and the local. The chapters in this volume present a series of empirical explorations of how difference is articulated, desired, levelled, governed and even subverted in the socio-economically uneven landscapes of India and China. They examine how difference emerges out of daily practice, categorisation processes, dividing practices, nation building efforts and identity projects.Through these empirical studies, we see how difference is articulated along a number of axes: differentiations of groups or persons according to hierarchies of superiority/inferiority; the demarcation of difference as something that is potentially disruptive and therefore in need of containment; the ?celebration? of difference as diversity, and finally, the ways in which difference comes to be internalised in the shaping of individual identities. Another common theme that binds a number of contributions is the exploration of the role of the state in constructing and controlling these differences, and the ways in which these interventions rearrange the social-political landscapes.This book was published as a special issue of Third World Quarterly.