Description

Book Synopsis
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 Development and Testing; 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; Nonparametric Test with Fuzzy Data and Its Applications in the Performance Evaluation of Customer Capita Nonparametric 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; 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; BI and Data Warehouse Solutions for Energy Production Industry: Application of CRISP-DM Methodology; Growth Models; PROMETHEE: Technical Details and Developments, and Its Role in Performance Management; Clique Communities in Social Networks; An Algorithm to Discover the K-Clique Cover in Networks.

Quantitative Modelling In Marketing And

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    A Hardback by Luiz Moutinho, Kun-huang Huarng

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      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: Publication Date: 08/12/2012
      ISBN13: 9789814407717, 978-9814407717
      ISBN10: 9814407712

      Description

      Book Synopsis
      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 Development and Testing; 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; Nonparametric Test with Fuzzy Data and Its Applications in the Performance Evaluation of Customer Capita Nonparametric 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; 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; BI and Data Warehouse Solutions for Energy Production Industry: Application of CRISP-DM Methodology; Growth Models; PROMETHEE: Technical Details and Developments, and Its Role in Performance Management; Clique Communities in Social Networks; An Algorithm to Discover the K-Clique Cover in Networks.

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