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Service quality in Indian hospitalsp...

Mohapatra, Sanjay.

Service quality in Indian hospitalsperspectives from an emerging market /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Service quality in Indian hospitalsby Sanjay Mohapatra ... [et al.].
Reminder of title:	perspectives from an emerging market /
other author:	Mohapatra, Sanjay.
Published:	Cham :Springer International Publishing :2018.
Description:	xvi, 106 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Indians of North AmericaHospitals.
Online resource:	http://dx.doi.org/10.1007/978-3-319-67888-7
ISBN:	9783319678887$q(electronic bk.)

Service quality in Indian hospitalsperspectives from an emerging market /
Service quality in Indian hospitalsperspectives from an emerging market /[electronic resource] :by Sanjay Mohapatra ... [et al.]. - Cham :Springer International Publishing :2018. - xvi, 106 p. :ill., digital ;24 cm. - Advances in theory and practice of emerging markets,2522-5006. - Advances in theory and practice of emerging markets..

Chapter 1. Introduction -- Chapter 2. Literature Review -- Chapter 3. Research Gap, Objectives and Scope -- Chapter 4. Methodology -- Chapter 5. Analysis of Demographic Indices -- Chapter 6. Developing a Causal Model using SEM -- Chapter 7. Developing A Classification Model using ANN -- Chapter 8. Developing a Classification Model using SVM -- Chapter 9. Summary and Conclusion.

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 error rates 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.

ISBN: 9783319678887$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67888-7doiSubjects--Corporate Names:

800957
United States.
Indian Health Service.Subjects--Topical Terms:

800959
Indians of North America
--Hospitals.

LC Class. No.: RA981.A35

Dewey Class. No.: 362.1108997021

Service quality in Indian hospitalsperspectives from an emerging market /
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245 0 0 $a Service quality in Indian hospitals $h [electronic resource] : $b perspectives from an emerging market / $c by Sanjay Mohapatra ... [et al.].
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490 1 $a Advances in theory and practice of emerging markets, $x 2522-5006
505 0 $a Chapter 1. Introduction -- Chapter 2. Literature Review -- Chapter 3. Research Gap, Objectives and Scope -- Chapter 4. Methodology -- Chapter 5. Analysis of Demographic Indices -- Chapter 6. Developing a Causal Model using SEM -- Chapter 7. Developing A Classification Model using ANN -- Chapter 8. Developing a Classification Model using SVM -- Chapter 9. Summary and Conclusion.
520 $a 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 error rates 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.
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