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Quantitative Modelling in Marketing and Management

Author: Luiz Moutinho

Publisher: World Scientific

Published: 2015-11-06

Total Pages: 568

ISBN-13: 9814696366

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. The first edition of "Quantitative Modelling in Marketing and Management" focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models. The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output. Contents:Statistical Modelling:A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing (Wayne S DeSarbo and Sunghoon Kim)Role of Structural Equation Modelling in Theory Testing and Development (Parikshat S Manhas, Ajay K Manrai, Lalita A Manrai and Ramjit)Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application (Joaquín Aldás-Manzano)Statistical Model Selection (Graeme D Hutcheson)Computer Modelling:Artificial Neural Networks and Structural Equation Modelling: An Empirical Comparison to Evaluate Business Customer Loyalty (Arnaldo Coelho, Luiz Moutinho, Graeme D Hutcheson and Maria Manuela Santos Silva)The Application of NN to Management Problems (Arnaldo Coelho, Luiz Moutinho, Graeme D Hutcheson and Maria Manuela Santos Silva)Meta-heuristics in Marketing (Stephen Hurley and Luiz Moutinho)Non-parametric Test with Fuzzy Data and Its Applications in the Performance Evaluation of Customer Capital (Yu-Lan Lee, Ming-leih Wu and Chunti Su)Too Much ADO About Nothing? Fuzzy Measurement of Job Stress for School Leaders (Berlin Wu and Mei Fen Liu)Interactive Virtual Platform for Shopping Furniture Based on Unity 3D (Yingwan Wu, Simon Fong, Suash Deb and Thomas Hanne)Mathematical and Other Models:Qualitative Comparison Analysis: An Example Analysis of Clinical Directorates and Resource Management (Malcolm J Beynon, Aoife McDermott and Mary A Keating)Growth Models (Mladen Sokele)Bayesian Prediction with Linear Dynamic Model: Principle and Application (Yun Li, Luiz Moutinho, Kwaku K Opong and Yang Pang)PROMETHEE: Technical Details and Developments, and its Role in Performance Management (Malcolm J Beynon and Harry Barton)Data Mining Process Models: A Roadmap for Knowledge Discovery (Armando B Mendes, Luís Cavique and Jorge M A Santos)Metaheuristics in Logistics (Thomas Hanne, Suash Deb and Simon Fong)A Model for Optimizing Earned Attention in Social Media Based on a Memetic Algorithm (Pedro Godinho, Luiz Moutinho and Manuela Silva)Stream-based Classification for Social Network Recommendation Systems (Yan Zhuang and Hang Yang)Clique Communities in Social Networks (Luís Cavique, Armando B Mendes and Jorge M A Santos)Measuring the Effects of Marketing Actions: The Role of Matching Methodologies (Iola Pinto and Margarida GMS Cardoso)Mathematical Programming Applied to Benchmarking in Economics and Management (Jorge Santos, Armando B Mendes, Luís Cavique and Magdalena Kapelko)Conclusion Readership: Undergraduates and postgraduates of management and business administration, academic researchers marketing professionals, financial professionals and business consultants. Key Features:Contains statistical (more commonly known), computer, mathematical, and other modelling approaches that provide a framework to analyse the issues, tools and examples associated with each techniqueDemonstrates the applicability of quantitative methods and highlights the potential utilisation of each methodology by using the research (quantitative) modelling approachKeywords:Quantitative Analysis;Modeling;Marketing Management;Statistical Modelling;Computer Modelling;Memetic Algorithm;Structural Equation Modelling;Artificial Neural Networks

Quantitative Marketing and Marketing Management

Author: Adamantios Diamantopoulos

Publisher: Springer Science & Business Media

Published: 2013-01-31

Total Pages: 627

ISBN-13: 3834937223

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Quantitative marketing has been gaining importance during the last decade. This is indicated by the growing number of model- and method-oriented studies published in leading journals as well as by the many successful applications of quantitative approaches in pricing, advertising, new product planning, and market segmentation decisions. In addition, market research has clearly benefitted from applying advanced quantitative models and methods in practice. Some 60 researchers – among them worldwide leading scholars – offer a broad overview of quantitative approaches in marketing. They not only highlight diverse mathematical and methodological perspectives, but also demonstrate the relevance and practical consequences of applying quantitative approaches to marketing problems.

Quantitative Modelling in Marketing and Management (second Edition)

Author: Luiz E. T. Al MOUTINHO

Publisher: World Scientific

Published: 2015-11-06

Total Pages: 569

ISBN-13: 9814696358

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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. The first edition of "Quantitative Modelling in Marketing and Management" focused on the description and applications of many quantitative modelling approaches applied to marketing and management. The topics ranged from fuzzy logic and logical discriminant models to growth models and k-clique models. The second edition follows the thread of the first one by covering a myriad of techniques and applications in the areas of statistical, computer, mathematical as well as other novel nomothetic methods. It greatly reinforces the areas of computer, mathematical and other modeling tools that are designed to bring a level of awareness and knowledge among academics and researchers in marketing and management, so that there is an increase in the application of these new approaches that will be embedded in future scholarly output."--

Quantitative Modelling in Marketing and Management

Author: Luiz Moutinho

Publisher: World Scientific

Published: 2012-10-05

Total Pages: 532

ISBN-13: 9814407739

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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. Errata(s) Errata (16 KB) Contents:Statistical Modelling:A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing (Wayne S DeSarbo and Sunghoon Kim)Role of Structural Equation Modelling in Theory Testing and Development (Parikshat S Manhas, Ajay K Manrai, Lalita A Manrai and Ramjit)Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application (Joaquín Aldás-Manzano)DEA — Data Envelopment Analysis: Models, Methods and Applications (Dr Alex Manzoni and Professor Sardar M N Islam)Statistical Model Selection (Graeme D Hutcheson)Computer Modelling:Artificial Neural Networks and Structural Equation Modelling: An Empirical Comparison to Evaluate Business Customer Loyalty (Arnaldo Coelho, Luiz Moutinho, Graeme D Hutcheson and Maria Manuela Santos Silva)The Application of NN to Management Problems (Arnaldo Coelho, Luiz Moutinho and Maria Manuela Santos Silva)Logical Discriminant Models (Margarida G M S Cardoso)Meta-heuristics in Marketing (Stephen Hurley and Luiz Moutinho)Hold a Mirror Up to Nature: A New Approach on Correlation Evaluation with Fuzzy Data and Its Applications in Econometrics (Chih Ching Yang, Yu-Ting Cheng, Berlin Wu and Songsak Sriboonchitta)Non-parametric Test with Fuzzy Data and Its Applications in the Performance Evaluation of Customer Capital (Yu-Lan Lee, Ming-leih Wu and Chunti Su)Too Much ADO About Nothing? Fuzzy Measurement of Job Stress for School Leaders (Berlin Wu and Mei Fen Liu)Fuzzy Composite Score and Situational Judgement Test: An Integrated Operation Perspective of Scoring (Hawjeng Chiou and Tsung-Lin Ou)Mathematical and Other Models:Cluster Analysis: An Example Analysis on Personality and Dysfunctional Customer Behaviour (Malcolm J Beynon and Kate L Daunt)Assessing the Perception of Superstitious Numbers and Its Effect on Purchasing Intentions (Dina-Fu Chang and Yi-Sheng Jiang)Qualitative Comparison Analysis: An Example Analysis of Clinical Directorates and Resource Management (Malcolm J Beynon, Aoife McDermott and Mary A Keating)Data Mining Process Models: A Roadmap for Knowledge Discovery (Armando B Mendes, Luís Cavique and Jorge M A Santos)Growth Models (Mladen Sokele)PROMETHEE: Technical Details and Developments, and Its Role in Performance Management (Malcolm J Beynon and Harry Barton)Clique Communities in Social Networks (Luís Cavique, Armando B Mendes and Jorge M A Santos)Conclusion Readership: Undergraduates and postgraduates of management and business administration, academic researchers marketing professionals, financial professionals and business consultants. Keywords:Quantitative Modelling;Statistical;Computer;Marketing;Neural Networks;Fuzzy Logic;k-Clique Model;Meta-heuristicsKey Features:Focuses on the description and applications of many quantitative modelling approaches applied to marketing and managementTopics range from fuzzy logic and logical discriminant models to growth models and k-clique modelsContributors include prominent authors like Wayne DeSarbo, Malcolm J Beynon and others

Quantitative Analysis for Marketing Management

Author: William Richard King

Publisher: McGraw-Hill Companies

Published: 1967

Total Pages: 600

ISBN-13:

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"This is a book about the decisions with which the marketing manager is constantly faced. Moreover its focus is on the analysis of those decision problems with whatever tools are available--qualitative or quantitative, for one cannot really spearate the two."--Page viii.

Quantitative Analysis in Marketing Management

Author: Luiz Moutinho

Publisher:

Published: 1999

Total Pages: 331

ISBN-13:

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Quantitative Models in Marketing Research

Author: Philip Hans Franses

Publisher: Cambridge University Press

Published: 2001-08-09

Total Pages: 222

ISBN-13: 1139428845

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Advances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.

Instructor's Manual to Accompany Quantitative Analysis in Marketing Management

Author: Luiz Moutinho

Publisher: John Wiley & Sons Incorporated

Published: 1998-05-01

Total Pages: 92

ISBN-13: 9780471985389

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Quantitative marketing is not an easy subject to grasp. Quantitative Analysis in Marketing Management introduces a kinder, gentler approach to the various quantitative concepts and techniques in marketing management. This exciting new book examines techniques drawn from other management disciplines (e.g. financial management and operations management) and shows how these techniques can be applied to marketing management. To aid comprehension, a number of problems and case studies are included at the end of each chapter. The text is divided into three parts: * statistics, demand analysis and forecasting; * financial analysis, operations and control systems; and * future trends Quantitative Analysis in Marketing Management is suitable for undergraduate and MBA students enrolled in marketing management, market analysis and forecasting, strategic marketing, marketing research courses, together with MSc marketing courses.

Statistical Modeling for Management

Author: Graeme D Hutcheson

Publisher: SAGE

Published: 2008-02-12

Total Pages: 255

ISBN-13: 1849202486

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Bringing to life the most widely used quantitative measurements and statistical techniques in marketing, this book is packed with user-friendly descriptions, examples and study applications. The process of making marketing decisions is frequently dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems. Any student hoping to enter the world of marketing will need to show that they understand and have mastered these techniques. A bank of downloadable data sets to compliment the tables provided in the textbook are provided free for you.

Modeling Markets

Author: Peter S.H. Leeflang

Publisher: Springer

Published: 2014-11-12

Total Pages: 417

ISBN-13: 1493920863

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This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.