Business Applications and Computational Intelligence

Business Applications and Computational Intelligence

Kevin Voges (University of Canterbury, New Zealand) and Nigel Pope (Griffith University, Australia)
Indexed In: SCOPUS View 1 More Indices
Release Date: December, 2005|Copyright: © 2006 |Pages: 481
DOI: 10.4018/978-1-59140-702-7
ISBN13: 9781591407027|ISBN10: 1591407028|EISBN13: 9781591407041
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Description & Coverage
Description:

Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have been used in process control, a variety of techniques have been used in forecasting, and data mining has become a core component of customer relationship management in marketing. While there is literature on this field, it is spread over many disciplines and in many different publications, making it difficult to find the pertinent information in one source.

Business Applications and Computational Intelligence addresses the need for a compact overview of the diversity of applications in a number of business disciplines, and consists of chapters written by leading international researchers. Chapters cover most fields of business, including: marketing, data mining, e-commerce, production and operations, finance, decision-making, and general management.Business Applications and Computational Intelligence provides a comprehensive review of research into computational intelligence applications in business, creating a powerful guide for both newcomers and experienced researchers.

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Reviews & Statements

Business Applications and Computational Intelligence gives the theory behind data mining and intelligence and follows it with practical applications and examples. It is a leader in the field.

– Ed Forrest, Professor in Business Administration, University of Alaska, Anchorage, USA

At last, a book that explains early on what the technique is about and then shows how to use it. Thanks to Kevin Voges and Nigel Pope.

– Kelly Page, Senior Lecturer, Cardiff Business School, University of Cardiff, UK

Business Applications and Computational Intelligence is a gem of a book. It takes the reader firmly along the road of data intelligence and shows her how it can be used. A wonderful achievement.

– Barbara Lyons, Professor in Marketing, Morehead State University, Kentucky, USA

An up-to-date and wide ranging survey of AI/CI applications and techniques in business. As well as the numerous specific application areas described I am sure this book will inspire the use of these methods in other areas of business.

– Don McNickle, Associate Professor of Management Science, Department of Management, University of Canterbury, New Zealand

Really a good book that gives the reader precise information on computational intelligence applications in the fields of marketing, finance, production, operations and managerial decision-making. The breadth of artificial intelligence explored in the book in the context of industry and business is commendable. It covers an amazing amount of information on artificial intelligence and those who are interested in the topic should get their hands on this book.

– K. Asoka Gunaratne, Senior Lecturer, Unitec, New Zealand

A superb text, that provides an important link between computational intelligence research and its practical application. This book provides a wide-ranging compilation of the international literature on CI. A must-read for academics and practitioners involved in marketing or management.

– Herb de Vries, Senior Lecturer, School of Business, Christchurch College of Education, New Zealand
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Editor/Author Biographies
Dr. Kevin Voges is a Senior Lecturer in Marketing in the Department of Management at the University of Canterbury, New Zealand. He completed a Bachelor’s degree in psychology and philosophy at the University of Tasmania, a Masters and Doctor of Philosophy (Psychology) at Massey University, NZ, and an MBA from the University of Queensland. He has taught research methods in education, psychology and marketing for several decades. His research interest is the application of computational intelligence techniques to business, particularly rough sets theory and evolutionary algorithms. He has also published in sports marketing and marketing communications.
Nigel K. Ll. Pope took his undergraduate degree in politics and Anglo-Saxon literature at the University of Queensland. He later took his MBA from the University of Central Queensland and his doctorate from Griffith University, specializing in sport sponsorship. His research has appeared in the Journal of Advertising, European Journal of Marketing and Sport Marketing Quarterly amongst other publications. His current interests are in digitization of entertainment and the structural foundations of the entertainment industry. He is currently an Associate Professor with Griffith Business School.
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