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.


Economics, Information Systems, and Electronic Commerce

Economics, Information Systems, and Electronic Commerce

Author: Robert J. Kauffman

Publisher: M.E. Sharpe

Published: 2008

Total Pages: 336

ISBN-13: 0765622955

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This groundbreaking volume introduces new methodological approaches to data analysis as well as new techniques for collecting and cataloging transactional data to assist IS researchers in dealing with new and radical forms of IT innovation that continue to energize electronic commerce.


Economics, Information Systems, and Electronic Commerce: Empirical Research

Economics, Information Systems, and Electronic Commerce: Empirical Research

Author: Robert J. Kauffman

Publisher: Routledge

Published: 2014-12-18

Total Pages: 337

ISBN-13: 1317472438

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The methods and thinking of economics permeate a large part of the IS discipline. Reciprocally, newly emerging research methods relying on the IT-enabled treatment of massive data aggregates feed economic research. As new and radical forms of IT innovation continue to energize electronic commerce, IS researchers face a daunting task in using existing empirical methods and tools to understand the threats, opportunities, risks, and rewards of these new techniques. This groundbreaking volume leads the way. It introduces new methodological approaches to data analysis as well as new techniques for collecting and cataloging transactional data. The ideas it presents have broad appeal and demonstrate what is possible when new techniques and new ways of thinking are brought to bear on complex research problems.


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.


Handbook of Data Visualization

Handbook of Data Visualization

Author: Chun-houh Chen

Publisher: Springer Science & Business Media

Published: 2007-12-18

Total Pages: 932

ISBN-13: 3540330372

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Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.


Internet Auctions

Internet Auctions

Author: Ernan Haruvy

Publisher: Now Publishers Inc

Published: 2010

Total Pages: 87

ISBN-13: 1601983328

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Internet Auctions reviews recent empirical and theoretical works on internet auctions with a focus on internet auction design, formats, and features that are currently debated in the marketing literature.


Business Computing

Business Computing

Author: Gediminas Adomavicius

Publisher: Emerald Group Publishing

Published: 2009-01-29

Total Pages: 421

ISBN-13: 1848552653

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Focuses on presenting specific innovative computing artifacts and tools developed by researchers that are not commercially used. This work presents approaches and frameworks that focus on ability of an enterprise to analyze, build and protect computing infrastructure that supports value-added dimensions to the enterprise's business processes.