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Summary
Summary
Most organizations recognize the impact that both customer and employee satisfaction have on overall financial performance. Actually acting on that information is the hard part. That is the focus of Linking Customer and Employee Satisfaction to the Bottom Line, which focuses on the relationship between customer satisfaction and tangible business outcomes like market share, revenue, and profitability. Intended for advanced service quality managers and marketing researchers with more than a modest exposure to statistical data analysis, this book provides a comprehensive overview of how these data may be related to critical business outcomes. Perhaps more importantly, researchers with mature customer satisfaction systems may use the techniques described in this book to maximize the value of their existing programs. While no technique or methodology can guarantee a strong link between customer satisfaction and key business outcomes, this book can ensure that appropriate scales, variables, and assumptions are used. Preview a sample chapter from this book along with the full table of contents by clicking here. You will need Adobe Acrobat to view this pdf file.
Table of Contents
List of Figures | p. ix |
Foreword | p. xiii |
Preface | p. xv |
Acknowledgments | p. xvii |
Chapter 1 Why Customer Satisfaction? | p. 1 |
Introduction | p. 1 |
Deriving Attribute Importance | p. 5 |
Measurement Issues and Customer Satisfaction | p. 6 |
Alternatives to Customer Satisfaction | p. 9 |
Customer Value versus Customer Satisfaction | p. 10 |
Customer Loyalty versus Customer Satisfaction | p. 11 |
The Future of Customer Satisfaction Research | p. 15 |
Chapter 2 Employee Satisfaction and Related Phenomena | p. 17 |
Introduction | p. 17 |
Potential Effects of Employee Satisfaction | p. 18 |
Some Additional Comments on Previous Work | p. 18 |
Dimensions of Satisfaction | p. 20 |
Overall Employee Satisfaction | p. 23 |
Commitment | p. 24 |
Market Orientation and Service Climate | p. 26 |
Discussion | p. 30 |
Chapter 3 The Six Sigma Approach | p. 33 |
Introduction | p. 33 |
The Six Sigma Process | p. 37 |
Six Sigma Tools | p. 39 |
Quality Function Deployment | p. 41 |
Linking Six Sigma to Financial Performance | p. 46 |
Chapter 4 The Customer Satisfaction--Profit Link | p. 51 |
Introduction | p. 51 |
Linking Satisfaction to the Bottom Line | p. 54 |
An Intervening Variable: Customer Retention | p. 55 |
The Impact of Customer Satisfaction in a Healthcare Setting | p. 57 |
Customer Satisfaction, Share, and Profitability | p. 59 |
A "Return on Quality" Model | p. 61 |
The ACSI Study | p. 64 |
What Is Loyalty? | p. 67 |
Chapter 5 Retention: A Behavioral Strategy | p. 71 |
Introduction | p. 71 |
An Introduction to Survival Analysis | p. 73 |
The Technical Aspects of Survival Analysis | p. 74 |
Case Study Background | p. 77 |
Methodology | p. 78 |
Model Development | p. 79 |
The Significant Predictor Variables | p. 80 |
Model Validation | p. 80 |
Model Implementation | p. 81 |
Intervening to Save Profitable Customers | p. 82 |
Chapter 6 Key Business Outcome Metrics | p. 87 |
Introduction | p. 87 |
The Cost of Customer Acquisition | p. 88 |
Research Design and Measurement Implications | p. 89 |
The Role of Customer Retention | p. 92 |
Customer Satisfaction and Market Share | p. 92 |
Customer Satisfaction and Profitability | p. 95 |
Chapter 7 Data Preparation | p. 103 |
Introduction | p. 103 |
The Relationship between Employee Attitudes and Customer Loyalty | p. 104 |
The Relationship between Customer Loyalty and Business Outcomes | p. 111 |
Summary Comments | p. 115 |
Chapter 8 Analysis Framework: Bivariate Relationships | p. 117 |
Introduction | p. 117 |
Bivariate Measures of Association | p. 121 |
Case Study: Canonical Correlation Analysis | p. 124 |
Causal Framework | p. 130 |
Chapter 9 Analysis Framework: Regression Models | p. 133 |
Dependence Modeling with Multiple Regression | p. 133 |
Alternative Regression Models | p. 137 |
Logistic Regression Analysis | p. 137 |
Principal Components Regression | p. 142 |
Other Regression Models | p. 150 |
Summary | p. 151 |
Chapter 10 Analysis Framework: Causal Modeling | p. 153 |
Causal Modeling with Path Analysis | p. 153 |
Path Analysis | p. 154 |
Assessing Model Fit | p. 158 |
Case Study: PitStop Employee Satisfaction, Customer Satisfaction, and Profitability | p. 159 |
Latent Variable Path Analysis | p. 165 |
Interpretation | p. 171 |
Assessing the Model | p. 172 |
Chapter 11 The Future of Linkage Research | p. 175 |
Introduction | p. 175 |
Simulation Systems: SatNav | p. 175 |
Management Decision Tools: Loyalty Rx | p. 179 |
The Global Perspective | p. 184 |
Refining Our Understanding of Loyalty | p. 189 |
Intangible Drivers of Customer Loyalty | p. 191 |
Concluding Remarks | p. 191 |
Appendix Matrix Algebra in Statistics | p. 195 |
Matrix and Vector Operations | p. 196 |
Matrix Multiplication | p. 197 |
Least Squares Regression | p. 202 |
Principal Components Analysis | p. 205 |
Eigenvector Scaling | p. 209 |
Eigenvector Rotation | p. 211 |
Glossary of Terms | p. 213 |
Bibliography | p. 225 |
Index | p. 233 |