Statistical Methods in e-Commerce Research

This groundbreaking book introduces the application of statisticalmethodologies to e-Commerce data With the expanding presence of technology in today's economicmarket, the use of the Internet for buying, selling, and investingis growing more popular and public in nature. Statistical Methodsin e-Commerce Research is the first book of its kind to focus onthe statistical models and methods that are essential in order toanalyze information from electronic-commerce (e-Commerce)transactions, identify the challenges that arise with newe-Commerce data structures, and discover new knowledge aboutconsumer activity. This collection gathers over thirty researchers and practitionersfrom the fields of statistics, computer science, informationsystems, and marketing to discuss the growing use of statisticalmethods in e-Commerce research. From privacy protection to economicimpact, the book first identifies the many obstacles that areencountered while collecting, cleaning, exploring, and analyzinge-Commerce data. Solutions to these problems are then suggestedusing established and newly developed statistical and data miningmethods. Finally, a look into the future of this evolving area ofstudy is provided through an in-depth discussion of the emergingmethods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges thegap between statistics and e-Commerce, introducing a statisticalapproach to solving challenges that arise in the context of onlinetransactions, while also introducing a wide range of e-Commerceapplications and problems where novel statistical methodology iswarranted. It is an ideal text for courses on e-Commerce at theupper-undergraduate and graduate levels and also serves as avaluable reference for researchers and analysts across a wide arrayof subject areas, including economics, marketing, and informationsystems who would like to gain a deeper understanding of the use ofstatistics in their work.