Principles of Marketing Engineering, 2nd Edition

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The 21st century business environment demands more analysis and rigor in marketing decision making. Increasingly, marketing decision making resembles design engineering-putting together concepts, data, analyses, and simulations to learn about the marketplace and to design effective marketing plans. While many view traditional marketing as art and some view it as science, the new marketing increasingly looks like engineering (that is, combining art and science to solve specific problems).

Marketing Engineering is the systematic approach to harness data and knowledge to drive effective marketing decision making and implementation through a technology-enabled and model-supported decision process. (For more information on Excel-based models that support these concepts, visit DecisionPro.biz.)

We have designed this book primarily for the business school student or marketing manager, who, with minimal background and technical training, must understand and employ the basic tools and models associated with Marketing Engineering.

We offer an accessible overview of the most widely used marketing engineering concepts and tools and show how they drive the collection of the right data and information to perform the right analyses to make better marketing plans, better product designs, and better marketing decisions.

What's New In the 2nd Edition

While much has changed in the nearly five years since the first edition of Principles of Marketing Engineering was published, much has remained the same. Hence, we have not changed the basic structure or contents of the book. We have, however

  • Updated the examples and references.
  • Added new content on customer lifetime value and customer valuation methods.
  • Added several new pricing models.
  • Added new material on "reverse perceptual mapping" to describe some exciting enhancements to our Marketing Engineering for Excel software. Provided some new perspectives on the future of Marketing Engineering.
  • Provided better alignment between the content of the text and both the software and cases available with Marketing Engineering for Excel 2.0.
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About the author

Gary L. Lilien is Distinguished Research Professor of Management Science at the Smeal College of Business at Penn State. He is also cofounder and Research Director of the ISBM. He is the author or co-author of twelve books (including Marketing Models with Phil Kotler, Marketing Engineering and Principles of Marketing Engineering), as well as over 100 professional articles. He is on the editorial board of the International Journal for Research in Marketing; is functional Editor for Marketing for Interfaces, and is Area Editor at Marketing Science. He was Editor in chief of Interfaces for six years. He is an Inaugural INFORMS Fellow, was honored as Morse Lecturer for INFORMS and also received the Kimball medal for distinguished contributions to the field of operations research. He is on the Board of Directors of the American Marketing Association.

Arvind Rangaswamy is Senior Associate Dean and Anchel Professor of Marketing at Penn State. Prof. Rangaswamy has published numerous articles in such leading journals as Marketing Science, Journal of Marketing Research, Journal of Marketing, Management Science, Information Systems Research, Service Science, International Journal of Research in Marketing, Marketing Letters, Psychometrika, Multivariate Behavioral Research, and Journal of Economics and Statistics. He was an Area Editor for Marketing Science (1997-2011) and serves on the editorial boards of the Journal of Interactive Marketing; International Journal of Intelligent Systems in Accounting, Finance and Management; Journal of Service Research; Journal of Business-to-Business Marketing; and Journal of Electronic Commerce.

Arnaud De Bruyn is Professor of Marketing and Head of the Marketing Department at ESSEC Business School, Paris, France, and Associate Director for the Marketing Engineering Program at the Institute for the Study of Business Markets at Penn State. His work has been published in Marketing Science, Management Science, International Journal of Research in Marketing, Information Systems Research, etc., and serves on the editorial board of IJRM, Journal of Interactive Marketing and RAM. His work on the quantitative analysis of viral marketing behavior, co-authored with Gary Lilien, has won the IJRM Best Paper Award.

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Additional Information

Publisher
DecisionPro
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Published on
Dec 31, 2013
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Pages
263
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ISBN
9780985764807
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Best For
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Language
English
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Genres
Business & Economics / Marketing / General
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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The book provides the foundation for developing those skills and insights. It’s organized according to the design of the first-year marketing course in Harvard Business School’s MBA program. Each chapter was written by HBS faculty and used by MBA students to analyze marketing opportunities and develop and execute successful marketing strategies. Areas covered include:

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A Note from the Author:

Dear Marketing Engineering Revised Edition 2 User:

The several editions of Marketing Engineering that we have published since 1998 have been aimed at a fairly narrow, somewhat technical audience interested in bringing more scientific rigor to the marketing discipline. Versions of that book were adopted by more than 150 business schools on five continents. In 2007 we published Principles of Marketing Engineering to reach a broader, less technical audience. A key complement of that book, in response to user feedback, was Marketing Engineering for Excel (ME>XL), i.e., our Marketing Engineering software as an Excel Add-in. The response to that effort has been extremely positive and we have abandoned the original Marketing Engineering software platform, the one that produced the software complement to previous editions of this book.

Hence, as the note on the cover indicates, software is not included with the book. More importantly, when we reference software in the book, those references refer to a version of the software that is no longer available.

Gary Lilien

"I am very excited about this book. Finally marketing can exhibit its scientific muscle and move from opinions-based decision making to data-based decision making. I think this is a very important book that will spawn a new discipline within marketing."
Philip Kotler, Northwestern University

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