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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. Table of Contents Statistical Modelling: A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing Role of Structural Equation Modelling in Theory Testing and Development Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application DEA — Data Envelopment Analysis: Models, Methods and Applications Statistical Model Selection Computer Modelling: Artificial Neural Networks and Structural Equation Modelling: An Empirical Comparison to Evaluate Business Customer Loyalty The Application of NN to Management Problems Logical Discriminant Models Meta-heuristics in Marketing Hold a Mirror Up to Nature: A New Approach on Correlation Evaluation with Fuzzy Data and Its Applications in Econometrics Non-parametric Test with Fuzzy Data and Its Applications in the Performance Evaluation of Customer Capital Too Much ADO About Nothing? Fuzzy Measurement of Job Stress for School Leaders Fuzzy Composite Score and Situational Judgement Test: An Integrated Operation Perspective of Scoring Mathematical and Other Models: Cluster Analysis: An Example Analysis on Personality and Dysfunctional Customer Behaviour Assessing the Perception of Superstitious Numbers and Its Effect on Purchasing Intentions Qualitative Comparison Analysis: An Example Analysis of Clinical Directorates and Resource Management Data Mining Process Models: A Roadmap for Knowledge Discovery Growth Models PROMETHEE: Technical Details and Developments, and Its Role in Performance Management Clique Communities in Social Networks Conclusion