Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11779
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dc.contributor.authorThanki, Shashank-
dc.contributor.authorGuru, Sunita-
dc.date.accessioned2023-06-20T15:21:23Z-
dc.date.available2023-06-20T15:21:23Z-
dc.date.issued2023-05-29-
dc.identifier.issn1746-5664-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11779-
dc.descriptionVol: 18, No.4, 2023, p.1064-1092en_US
dc.description.abstractPurpose – The present situation of COVID-19 pandemic has put the health-care systems under tremendous stress and stringent tests for their ability to offer expected quality of health-care services, as it decides the sustainability and growth of health-care service providers. This study aims to deliver a quantitative framework for service quality assessment in the health-care industry by classifying the health-care service quality parameters into four balanced scorecard (BSC) perspectives. Design/methodology/approach – To determine the service quality for the Indian health-care system, decision-making trial and evaluation laboratory and analytical network process are integrated in a fuzzy environment to contemplate the interaction among BSC perspectives and respective performance measures. Findings – The results indicate “internal processes” perspective assumes the key role within BSC perspectives, while performance measures “nursing staff turnover” and “staff training” play the key roles. The results also signify that “patient satisfaction” is the most vital issue and can be strongly influenced by measures belonging to the “learning and growth” perspective. In “learning and growth” perspective, “staff training” is the most decisive criteria, very highly influencing “patient satisfaction”, highly influencing “profitability,” “change of cost per patient (both in and out patients)” and “outpatient waiting time” while moderately influencing “staff satisfaction,” “bed occupancy” and “nursing staff turnover”. Moreover, “staff training” criteria have a positive influence on “nursing staff turnover.” Originality/value – The contributions of this study are in two folds in the domain of quantification of service quality for the health-care system. First, it delivers an assessment framework for Indian health-care service quality. Second, it demonstrates an application of the framework for a case situation and validates the proposed framework.en_US
dc.publisherJournal of Modelling in Managementen_US
dc.subjectFaculty Paperen_US
dc.subjectFaculty Paper, Managementen_US
dc.subjectManagement, Faculty Paperen_US
dc.subjectHealth careen_US
dc.subjectService qualityen_US
dc.subjectFuzzy logicen_US
dc.titleA quantitative framework for health-care service quality assessment in Indiaen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, IM

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