Selected contributions to market-based management:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 160 S. graph. Darst. |
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Datensatz im Suchindex
| _version_ | 1804137934893350912 |
|---|---|
| adam_text | VIII
Table of
Contents
Foreword
..................................................................................................................................
V
Acknowledgements
.............................................................................................................
VII
Table of Contents
...............................................................................................................VIII
Preface
....................................................................................................................................
XI
Sample and Segment Size-specific Model Selection in Mixture Regression Analysis.
A Monte Carlo Simulation Study
..........................................................................................1
1
Introduction
...................................................................................................................2
2
Theoretical background
.................................................................................................3
2.1
Mixture regression models
........................................................................................3
2.2
Model selection in mixture models
...........................................................................4
2.3
Commonly used information criteria in marketing studies
.......................................4
2.4
Description of the criteria
.........................................................................................6
2.5
Empirical comparisons of criteria in mixture regression models
.............................8
3
Simulation design and evaluation of results
.................................................................9
4
Results summary
.........................................................................................................11
5
Key contributions and further research
.......................................................................17
References
...............................................................................................................................19
A Review of Recent Approaches for Capturing Heterogeneity in Partial Least Squares
Path Modeling
.......................................................................................................................27
1
Introduction
.................................................................................................................28
2
Treating heterogeneity in PLS path modeling
............................................................29
2.1
Path Modeling Segmentation Tree (PATHMOX)
..................................................31
2.2
Distance-based approaches
.....................................................................................31
2.2.1
PLS Typological Regression approaches
........................................................31
2.2.2
Fuzzy Regression approach
.............................................................................32
2.2.3
PLS Genetic Algorithm Segmentation (PLS-GAS)
..........................................33
2.3
Finite Mixture-PLS (FIMIX-PLS)
..........................................................................33
3
Comparisons of the approaches
..................................................................................35
4
Conclusion
..................................................................................................................38
IX
Appendix
.................................................................................................................................41
References
...............................................................................................................................42
Treating Unobserved Heterogeneity in PLS Path Modeling: A Comparison of FIMIX
PLS with Different Data Analysis Strategies
......................................................................49
1
Introduction
.................................................................................................................50
2
Classification in PLS path modeling
...........................................................................51
3
Empirical application
...................................................................................................53
3.1
Data
&
analysis strategies
.......................................................................................54
3.2
Evaluation of the measurement models
...................................................................55
3.3
Evaluation of the structural models
.........................................................................58
4
Discussion
....................................................................................................................63
Appendix
.................................................................................................................................65
References
...............................................................................................................................66
Heterogeneity in Partial Least Squares Path Modeling and the Problem of Model
Selection in FIMIX-PLS
........................................................................................................71
1
Introduction
.................................................................................................................72
2
Treating heterogeneity in PLS path modeling
.............................................................73
2.1
Approaches to multi-group analysis
........................................................................75
2.2
Approaches to latent class detection
........................................................................76
2.2.1
Path Modeling Segmentation Tree (PATHMOX)
............................................76
2.2.2
Distance-based approaches
.............................................................................77
2.2.3
Finite Mixture-PLS (FIMIX-PLS)
....................................................................79
3
Assessing the number of segments in finite mixture models
......................................82
3.1
Information criteria
..................................................................................................83
3.2
Classification criteria
...............................................................................................86
3.3
Studies to assess the performance of model selection criteria
.................................87
3.3.1
Simulation studies infinite mixture covariance structure analysis
..................87
3.3.2
Simulation studies in mixture regression models
.............................................88
3.4
Interim conclusion on the state of research
.............................................................89
4
Monte Carlo simulation study
.....................................................................................90
4.1
Experimental design and data generation
................................................................90
χ
4.2
Model
estimation
.....................................................................................................94
4.3
Summary of results
.................................................................................................95
5
Conclusion
..................................................................................................................99
Appendix
...............................................................................................................................102
References
.............................................................................................................................108
Long-term Effects of Culture Sponsoring on Corporate Reputation: An Experimental
Study
...................................................................................................................................119
1
Introduction
...............................................................................................................120
2
Literature Review
......................................................................................................121
2.1
Culture sponsorship
..............................................................................................121
2.2
Corporate reputation
.............................................................................................123
3
Conceptual framework
..............................................................................................124
3.1
The image transfer model
.....................................................................................125
3.2
The Elaboration Likelihood Model
.......................................................................127
4
Research method
.......................................................................................................128
4.1
Measuring corporate reputation
............................................................................128
4.2
Experimental design
..............................................................................................129
4.2.1
Participating companies
................................................................................129
4.2.2
Composition of the panels
.............................................................................130
4.2.3
Treatment
.......................................................................................................130
5
Analysis and results
..................................................................................................132
5.1
Sample
...................................................................................................................132
5.2
Effect of the treatment
...........................................................................................133
5.3
Results
...................................................................................................................135
5.3.7
Analysis of the full sample
.............................................................................135
5.3.2
Analysis of subsamples
..................................................................................137
6
General discussion
....................................................................................................139
6.1
Results summary and managerial implications
.....................................................139
6.2
Limitations and further research
...........................................................................140
Appendix
...............................................................................................................................142
References
.............................................................................................................................151
|
| adam_txt |
VIII
Table of
Contents
Foreword
.
V
Acknowledgements
.
VII
Table of Contents
.VIII
Preface
.
XI
Sample and Segment Size-specific Model Selection in Mixture Regression Analysis.
A Monte Carlo Simulation Study
.1
1
Introduction
.2
2
Theoretical background
.3
2.1
Mixture regression models
.3
2.2
Model selection in mixture models
.4
2.3
Commonly used information criteria in marketing studies
.4
2.4
Description of the criteria
.6
2.5
Empirical comparisons of criteria in mixture regression models
.8
3
Simulation design and evaluation of results
.9
4
Results summary
.11
5
Key contributions and further research
.17
References
.19
A Review of Recent Approaches for Capturing Heterogeneity in Partial Least Squares
Path Modeling
.27
1
Introduction
.28
2
Treating heterogeneity in PLS path modeling
.29
2.1
Path Modeling Segmentation Tree (PATHMOX)
.31
2.2
Distance-based approaches
.31
2.2.1
PLS Typological Regression approaches
.31
2.2.2
Fuzzy Regression approach
.32
2.2.3
PLS Genetic Algorithm Segmentation (PLS-GAS)
.33
2.3
Finite Mixture-PLS (FIMIX-PLS)
.33
3
Comparisons of the approaches
.35
4
Conclusion
.38
IX
Appendix
.41
References
.42
Treating Unobserved Heterogeneity in PLS Path Modeling: A Comparison of FIMIX
PLS with Different Data Analysis Strategies
.49
1
Introduction
.50
2
Classification in PLS path modeling
.51
3
Empirical application
.53
3.1
Data
&
analysis strategies
.54
3.2
Evaluation of the measurement models
.55
3.3
Evaluation of the structural models
.58
4
Discussion
.63
Appendix
.65
References
.66
Heterogeneity in Partial Least Squares Path Modeling and the Problem of Model
Selection in FIMIX-PLS
.71
1
Introduction
.72
2
Treating heterogeneity in PLS path modeling
.73
2.1
Approaches to multi-group analysis
.75
2.2
Approaches to latent class detection
.76
2.2.1
Path Modeling Segmentation Tree (PATHMOX)
.76
2.2.2
Distance-based approaches
.77
2.2.3
Finite Mixture-PLS (FIMIX-PLS)
.79
3
Assessing the number of segments in finite mixture models
.82
3.1
Information criteria
.83
3.2
Classification criteria
.86
3.3
Studies to assess the performance of model selection criteria
.87
3.3.1
Simulation studies infinite mixture covariance structure analysis
.87
3.3.2
Simulation studies in mixture regression models
.88
3.4
Interim conclusion on the state of research
.89
4
Monte Carlo simulation study
.90
4.1
Experimental design and data generation
.90
χ
4.2
Model
estimation
.94
4.3
Summary of results
.95
5
Conclusion
.99
Appendix
.102
References
.108
Long-term Effects of Culture Sponsoring on Corporate Reputation: An Experimental
Study
.119
1
Introduction
.120
2
Literature Review
.121
2.1
Culture sponsorship
.121
2.2
Corporate reputation
.123
3
Conceptual framework
.124
3.1
The image transfer model
.125
3.2
The Elaboration Likelihood Model
.127
4
Research method
.128
4.1
Measuring corporate reputation
.128
4.2
Experimental design
.129
4.2.1
Participating companies
.129
4.2.2
Composition of the panels
.130
4.2.3
Treatment
.130
5
Analysis and results
.132
5.1
Sample
.132
5.2
Effect of the treatment
.133
5.3
Results
.135
5.3.7
Analysis of the full sample
.135
5.3.2
Analysis of subsamples
.137
6
General discussion
.139
6.1
Results summary and managerial implications
.139
6.2
Limitations and further research
.140
Appendix
.142
References
.151 |
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| title | Selected contributions to market-based management |
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| title_full | Selected contributions to market-based management von Marko Sarstedt |
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| title_full_unstemmed | Selected contributions to market-based management von Marko Sarstedt |
| title_short | Selected contributions to market-based management |
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