LEADER 04157nam 22006495 450 001 9910298178103321 005 20200705035630.0 010 $a3-319-67888-4 024 7 $a10.1007/978-3-319-67888-7 035 $a(CKB)4100000000881789 035 $a(DE-He213)978-3-319-67888-7 035 $a(MiAaPQ)EBC5109716 035 $a(PPN)222238690 035 $a(EXLCZ)994100000000881789 100 $a20171020d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aService Quality in Indian Hospitals $ePerspectives from an Emerging Market /$fby Sanjay Mohapatra, K. Ganesh, M. Punniyamoorthy, Rani Susmitha 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVI, 106 p. 36 illus., 29 illus. in color.) 225 1 $aAdvances in Theory and Practice of Emerging Markets,$x2522-5006 311 $a3-319-67887-6 320 $aIncludes bibliographical references and index. 327 $aChapter 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. 330 $aThis book offers an elaborate and empirical look at service quality of hospitals in the emerging market of India. The poor quality of service is a major issue in a large number of hospitals (particularly in government hospitals), which forces patients to opt for private hospitals that are generally much more expensive than government hospitals. This book provides a comprehensive understanding of service quality antecedents in Indian hospitals. It focuses on patient satisfaction and includes valuable insights and implications for hospital management and government. The book is theoretically grounded in SERVQUAL literature and uses appropriate and sophisticated techniques and tools to analyse data. It highlights causal model development with Structural Equation Modelling (SEM) and introduces a classification model, developed using Artificial Neural Networks (ANNs), in order to benchmark specialty cardiac care. The book also deals with Support Vector Machines (SVMs) and compares the error rates between SVM and ANN to find the best classification technique among the two. Overall, this book is a timely and relevant work that contributes to the theory, practice and policy of service quality in hospitals. 410 0$aAdvances in Theory and Practice of Emerging Markets,$x2522-5006 606 $aHealth care management 606 $aHealth services administration 606 $aGlobalization 606 $aMarkets 606 $aMedical care 606 $aPublic health 606 $aHealth Care Management$3https://scigraph.springernature.com/ontologies/product-market-codes/527030 606 $aEmerging Markets/Globalization$3https://scigraph.springernature.com/ontologies/product-market-codes/525010 606 $aHealth Services Research$3https://scigraph.springernature.com/ontologies/product-market-codes/H81000 615 0$aHealth care management. 615 0$aHealth services administration. 615 0$aGlobalization. 615 0$aMarkets. 615 0$aMedical care. 615 0$aPublic health. 615 14$aHealth Care Management. 615 24$aEmerging Markets/Globalization. 615 24$aHealth Services Research. 676 $a362.10681 700 $aMohapatra$b Sanjay$4aut$4http://id.loc.gov/vocabulary/relators/aut$0945781 702 $aGanesh$b K$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPunniyamoorthy$b M$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSusmitha$b Rani$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298178103321 996 $aService Quality in Indian Hospitals$92506004 997 $aUNINA