Quantitative Modelling In Marketing And Management
Published on 8. December 2012
Book
Hardback
532 pages
978-981-4407-71-7 (ISBN)
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.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 33 mm
Weight
910 gr
ISBN-13
978-981-4407-71-7 (9789814407717)
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Schweitzer Classification
Persons
Content
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.