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From Little's Law to Marketing Science

Download or Read eBook From Little's Law to Marketing Science PDF written by John R. Hauser and published by MIT Press. This book was released on 2016-01-29 with total page 497 pages. Available in PDF, EPUB and Kindle.
From Little's Law to Marketing Science
Author :
Publisher : MIT Press
Total Pages : 497
Release :
ISBN-10 : 9780262331494
ISBN-13 : 0262331497
Rating : 4/5 (94 Downloads)

Book Synopsis From Little's Law to Marketing Science by : John R. Hauser

Book excerpt: The legacy of a pioneer in operations research and marketing science. John D. C. Little of MIT's Sloan School of Management is famous for his contributions to operations research and marketing science. He formulated a fundamental theorem in queuing theory known as Little's Law, which is used widely in a variety of fields. His work on such topics as optimal advertising experimentation, advertising budgeting, and aggregate marketing models, and its subsequent applications, has generated entire streams of research. This volume gathers papers from prominent researchers, including many of Little's colleagues and former colleagues, that reflect this pioneering scholar's lasting influence. The book includes a profile of Little, detailing his career accomplishments; writings on managerial models, including papers on advertising media selection, customer lifetime value, and micromarketing; discussions of decision information models, covering topics that range from customer channel choice to stochastic variance assumption; and (in a paper coauthored by Little) an examination of Little's Law today. Contributors Makoto Abe, Rene Befurt, André Bonfrer, Robert Bordley, Maria Luisa Ceprini, Peter J. Danaher, Xavier Drèze, Daria Dzyabura, Theodoros Evgeniou, Fred M. Feinberg, John R. Hauser, Kamel Jedidi, Laoucine Kerbache, Janghyuk Lee, Guilherme (Gui) Liberali, John D. C. Little, Erin MacDonald, Dina Mayzlin, Wendy W. Moe, Elisa Montaguti, Ricardo Montoya, Pamela D. Morrison, Scott A. Neslin, Oded Netzer, John H. Roberts, Linda Court Salisbury, Jiwoong Shin, Rajendra Srivastava, Olivier Toubia, Michael Trusov, Glen L. Urban, Sara Valentini, Masahiko Yamanaka


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