QUANTITATIVE MODELLING IN MARKETING AND MANAGEMENT

QUANTITATIVE MODELLING IN MARKETING AND MANAGEMENT book cover

QUANTITATIVE MODELLING IN MARKETING AND MANAGEMENT

Author(s): MOUTINHO LUIZ ET AL (Author)

  • Publisher: World Scientific Publishing Company
  • Publication Date: 5 Dec. 2012
  • Language: English
  • Print length: 532 pages
  • ISBN-10: 9814407712
  • ISBN-13: 9789814407717

Book Description

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling.Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.

Editorial Reviews

From the Back Cover

The field of marketing and management has undergone immense changes over the past decade. These dynamic changes are driving an increasing need for data analysis using quantitative modelling.

Problem solving using the quantitative approach and other models has always been a hot topic in the fields of marketing and management. Quantitative modelling seems admirably suited to help managers in their strategic decision making on operations management issues. In social sciences, quantitative research refers to the systematic empirical investigation of social phenomena via statistical, mathematical or computational techniques.

This book focuses on the description and applications of many quantitative modelling approaches applied to marketing and management. The structure encompasses statistical, computer and mathematical as well as other models. The topics range from fuzzy logic and logical discriminant models to growth models and k-clique models. It also covers current research being conducted in the field.

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