Service Quality in Indian Hospitals Perspectives from an Emerging Market 1st Edition by Ganesh,Punniyamoorthy,Rani Susmitha,Sanjay Mohapatra – Ebook PDF Instant Download/Delivery:9783319678887,3319678884
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ISBN 10:3319678884
ISBN 13:9783319678887
Author:Ganesh,Punniyamoorthy,Rani Susmitha,Sanjay Mohapatra
This book offers an elaborate and empirical look at service quality of hospitals in the emerging market of India. The poor quality of service is a major issue in a large number of hospitals (particularly in government hospitals), which forces patients to opt for private hospitals that are generally much more expensive than government hospitals. This book provides a comprehensive understanding of service quality antecedents in Indian hospitals. It focuses on patient satisfaction and includes valuable insights and implications for hospital management and government. The book is theoretically grounded in SERVQUAL literature and uses appropriate and sophisticated techniques and tools to analyse data. It highlights causal model development with Structural Equation Modelling (SEM) and introduces a classification model, developed using Artificial Neural Networks (ANNs), in order to benchmark specialty cardiac care. The book also deals with Support Vector Machines (SVMs) and compares the errorrates between SVM and ANN to find the best classification technique among the two. Overall, this book is a timely and relevant work that contributes to the theory, practice and policy of service quality in hospitals.
Service Quality in Indian Hospitals Perspectives from an Emerging Market 1st Table of contents:
Chapter 1: Introduction
1.1 Introduction
1.2 Evolution of Hospitals: A Journey from Past to Present
1.2.1 Roman Empire
1.2.2 Medieval Persia and Islam
1.2.3 Medieval Europe
1.2.4 Colonial America
1.2.5 Incredible India
1.2.6 Modern Era
1.3 Types of Hospitals
1.3.1 General Hospitals
1.3.2 Specialty Hospitals
1.3.3 Super Speciality and Multispecialty Hospitals
1.3.4 Teaching Hospitals
1.3.5 Clinics
1.4 Hospital Departments
1.5 Types of Patients
1.6 Public and Private Sectors
1.7 Customer of a Hospital
1.8 Patient Satisfaction Scenario in Modern Hospitals
1.9 Why Cardiac Care?
1.10 Quality Cardiac Care Is the Need of the Hour
1.11 Motivation for the Research
1.12 The Structure of the Book
1.13 Conclusion
Chapter 2: Literature Review
2.1 Introduction
2.2 First Stage: Literature on Demographics
2.3 Second Stage: Literature on SERVQUAL
2.4 Third Stage: Literature on Data Mining Techniques
2.5 Conclusion
Chapter 3: Research Gap, Objectives and Scope
3.1 Introduction
3.2 Research Gaps
3.2.1 Issue 1
3.2.2 Issue 2
3.2.3 Issue 3
3.2.4 Issue 4
3.3 Objectives of the Study
3.4 Scope of the Research
3.5 Conclusion
Chapter 4: Methodology
4.1 Introduction
4.2 Data Collection
4.3 Sampling Design
4.3.1 Sampling Unit
4.3.2 Sampling Frame
4.3.3 Sampling Method
4.3.4 Sample Size
4.3.5 Scale Used in Data Collection
4.4 Research Instrument
4.5 Model Justification
4.6 Objective 1: Demographic and Clinical Variables
4.6.1 ‘Z’ Test
4.7 Objective 2: Developing a Causal Model Using SEM
4.7.1 Test of Significance for Service Quality Factors
4.8 Objective 3: Developing a Classification Model Using ANN
4.9 Objective 4: Developing a Classification Model Using SVM
4.9.1 Validating and Comparing the Classification Models Using Confusion Matrices
4.10 Conclusion
Chapter 5: Analysis of Demographical Indices
5.1 Introduction
5.2 Demographics of Specialty Cardiac Care Hospitals
5.2.1 Age
5.3 Demographics of Multispecialty Cardiac Care Hospitals
5.3.1 Age
5.4 Clinical Quality Variables
5.4.1 Number of Days of Stay
5.4.2 Number of Visits to the Hospital
5.5 Test of Significance for Clinical Quality Variables
5.6 Results and Discussion
5.7 Conclusion
Chapter 6: Developing a Causal Model Using SEM
6.1 Introduction
6.2 Development of Causal Model
6.3 Data for SEM
6.4 Measurement Model
6.4.1 Formulation of Hypobook
6.4.2 Data for Measurement Model
6.4.3 Testing of Hypobook
6.5 Structural Model
6.5.1 Data for Structural Model
6.5.2 Testing of Hypobook
6.6 Prioritization of Dimensions
6.7 Cluster Analysis
6.8 Results and Discussion
6.9 Conclusion
Chapter 7: Developing a Classification Model Using ANN
7.1 Introduction
7.2 Neural Network
7.3 Training and Testing of Model Using Neural Network
7.4 Significance of Weights
7.5 Comparative Study on Significance of Satisfaction
7.6 Validation of the Model
7.7 Results
7.8 Conclusion
Chapter 8: Developing a Classification Model Using SVM
8.1 Introduction
8.2 Support Vector Machine
8.3 Data
8.4 Validation of the Classification Models
8.5 Comparison of ANN and SVM Using Confusion Matrices
Chapter 9: Summary and Conclusion
9.1 Discussions
9.1.1 Summary and Conclusion
9.2 Conclusion
9.3 Limitations and Future Scope of Study
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Ganesh,Punniyamoorthy,Rani Susmitha,Sanjay Mohapatra,Service,Perspectives