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Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng
| Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng |
| Autore | Moutinho Luiz |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina |
658.8001
658.80011 |
| Altri autori (Persone) | HuarngKun-Huang |
| Soggetto topico |
Management - Mathematical models
Marketing - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-85086-9
981-4407-72-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; Introduction; Part 1. Statistical Modelling; Part 2. Computer Modelling; Part 3. Mathematical and Other Models; References; Part 1. Statistical Modelling; Chapter 1. A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing Wayne S. DeSarbo and Sunghoon Kim; 1. Introduction; 2. The Vector MDS Model; 2.1. The individual level vector MDS model; 2.2. The segment level or clusterwise vector MDS model; 3. The Unfolding MDS Model; 3.1. The individual level simple unfolding model
3.2. The segment level or clusterwise multidimensional unfolding model 4. A Marketing Application; 4.1. The vector model results; 4.2. The simple unfolding model results; 5. Discussion; References; Chapter 2. Role of Structural Equation Modelling in Theory Testing and Development Parikshat S. Manhas, Ajay K. Manrai, Lalita A. Manrai and Ramjit; 1. Introduction; 1.1. Structural equation modelling; 1.2. Terminology, rules, and conventions; 2. Structural Equation Modeling - Example; 2.1. Model identification; Model specification; 2.2. Goodness-of-fit 2.3. Model fit summary for the current example 3. Model Estimation, Modification and Interpretation; References; APPENDIX; Steps To Launch Amos Graphics; Chapter 3. Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application Joaquín Aldás-Manzano; 1. Introduction; 2. The PLSPM Algorithm; 3. PLSPM Properties: Strengths and Weaknesses; 4. Applied Example: The Role of Trust on Consumers Adoption of Online Banking; 4.1. The model; 4.2. Method; 4.3. Estimating a PLSPM. Step 1. Dealing with second order factors 4.4. Estimating a PLSPM. Step 2. Validating the measurement (outer) model 4.4.1. Reliability; 4.4.2. Convergent validity; 4.4.3. Discriminant validity; 4.5. Estimating a PLSPM. Step 3. Assessing the structural (inner) model; 4.5.1. R2 of dependent LV; 4.5.2. Predictive relevance; 4.6. Estimating a PLSPM. Step 4. Hypotheses testing; 5. Conclusion; References; Chapter 4. DEA- Data Envelopment Analysis: Models, Methods and Applications Dr. Alex Manzoni and Professor Sardar M.N Islam; 1. Introduction; 2. Basic DEA Model; 3. Slack and Returns to Scale; 4. Assumptions, Strengths and Limitations 5. Applications, Examples and Computation Programs 6. Conclusion; Acknowledgement; References; Chapter 5. Statistical Model Selection Graeme D Hutcheson; 1. Introduction; 2. Some Example Analyses; 2.1. Tourism in Portugal; 2.2. Union membership; 3. Problem 1: Including Non-Important Variables in the Model; 3.1. Simulating data; 3.2. Models derived from simulated data; 4. Problem 2: Not Including Important Variables in the Model; 4.1. Modelling fuel consumption; 5. Conclusion; References; Part 2. Computer Modelling Chapter 6. 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 |
| Record Nr. | UNINA-9910464801003321 |
Moutinho Luiz
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng
| Quantitative modelling in marketing and management [[electronic resource] /] / by Luiz Moutinho, Kun-Huang Huarng |
| Autore | Moutinho Luiz |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, N.J., : World Scientific, c2013 |
| Descrizione fisica | 1 online resource (530 p.) |
| Disciplina |
658.8001
658.80011 |
| Altri autori (Persone) | HuarngKun-Huang |
| Soggetto topico |
Management - Mathematical models
Marketing - Mathematical models |
| ISBN |
1-283-85086-9
981-4407-72-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; Preface; Introduction; Part 1. Statistical Modelling; Part 2. Computer Modelling; Part 3. Mathematical and Other Models; References; Part 1. Statistical Modelling; Chapter 1. A Review of the Major Multidimensional Scaling Models for the Analysis of Preference/Dominance Data in Marketing Wayne S. DeSarbo and Sunghoon Kim; 1. Introduction; 2. The Vector MDS Model; 2.1. The individual level vector MDS model; 2.2. The segment level or clusterwise vector MDS model; 3. The Unfolding MDS Model; 3.1. The individual level simple unfolding model
3.2. The segment level or clusterwise multidimensional unfolding model 4. A Marketing Application; 4.1. The vector model results; 4.2. The simple unfolding model results; 5. Discussion; References; Chapter 2. Role of Structural Equation Modelling in Theory Testing and Development Parikshat S. Manhas, Ajay K. Manrai, Lalita A. Manrai and Ramjit; 1. Introduction; 1.1. Structural equation modelling; 1.2. Terminology, rules, and conventions; 2. Structural Equation Modeling - Example; 2.1. Model identification; Model specification; 2.2. Goodness-of-fit 2.3. Model fit summary for the current example 3. Model Estimation, Modification and Interpretation; References; APPENDIX; Steps To Launch Amos Graphics; Chapter 3. Partial Least Squares Path Modelling in Marketing and Management Research: An Annotated Application Joaquín Aldás-Manzano; 1. Introduction; 2. The PLSPM Algorithm; 3. PLSPM Properties: Strengths and Weaknesses; 4. Applied Example: The Role of Trust on Consumers Adoption of Online Banking; 4.1. The model; 4.2. Method; 4.3. Estimating a PLSPM. Step 1. Dealing with second order factors 4.4. Estimating a PLSPM. Step 2. Validating the measurement (outer) model 4.4.1. Reliability; 4.4.2. Convergent validity; 4.4.3. Discriminant validity; 4.5. Estimating a PLSPM. Step 3. Assessing the structural (inner) model; 4.5.1. R2 of dependent LV; 4.5.2. Predictive relevance; 4.6. Estimating a PLSPM. Step 4. Hypotheses testing; 5. Conclusion; References; Chapter 4. DEA- Data Envelopment Analysis: Models, Methods and Applications Dr. Alex Manzoni and Professor Sardar M.N Islam; 1. Introduction; 2. Basic DEA Model; 3. Slack and Returns to Scale; 4. Assumptions, Strengths and Limitations 5. Applications, Examples and Computation Programs 6. Conclusion; Acknowledgement; References; Chapter 5. Statistical Model Selection Graeme D Hutcheson; 1. Introduction; 2. Some Example Analyses; 2.1. Tourism in Portugal; 2.2. Union membership; 3. Problem 1: Including Non-Important Variables in the Model; 3.1. Simulating data; 3.2. Models derived from simulated data; 4. Problem 2: Not Including Important Variables in the Model; 4.1. Modelling fuel consumption; 5. Conclusion; References; Part 2. Computer Modelling Chapter 6. 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 |
| Record Nr. | UNINA-9910789343103321 |
|
Moutinho Luiz
|
||
| Singapore ; ; Hackensack, N.J., : World Scientific, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||