Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/4938
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dc.contributor.authorAdhikari, Arnab
dc.contributor.authorBhattacharyya, Samadrita
dc.contributor.authorBasu, Sumanta
dc.contributor.authorBhattacharya, Rajesh
dc.date.accessioned2024-09-25T10:15:48Z
dc.date.available2024-09-25T10:15:48Z
dc.date.issued2021-03
dc.identifier.issn1741-0401 (Online)
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/4938
dc.identifier.urihttps://doi.org/10.1108/IJPPM-07-2020-0374
dc.descriptionOperations Management Area, Indian Institute of Management Ranchi, Ranchi, India | Samadrita Bhattacharyya, Operations Management, Quantitative Methods and Information Systems Area, Indian Institute of Management Udaipur, Udaipur, India | Sumanta Basu, Operations Management Group, Indian Institute of Management Calcutta, Kolkata, India | Rajesh Bhattacharya, Public Policy and Management Group, Indian Institute of Management Calcutta, Kolkata, Indiaen_US
dc.descriptionPages: 2630-2658
dc.description.abstractPurpose – In the context of India, this article proposes an integrated multicriteria decision-making (MCDM) regression-based methodology to evaluate input-level performance of the schools and investigate the impact of this performance along with contextual factors, i.e. medium of instruction and location of the school, on the school’s output level performance, i.e. student pass rate. Design/methodology/approach – First, Shannon entropy-based approach is applied for the weight assignment to different parameters. Then, integrated VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique for order preference by similarity to an ideal solution (TOPSIS)-based methodology is devised to measure the input-level performance of a school. Finally, multiple linear regression (MLR) analysis is incorporated to study the effect of input-level performance and above-mentioned contextual factors on the school’s output-level performance. Findings – Proposed methodology is applied to assess the input-level performance of 82,930 primary and secondary schools of West Bengal, India. All the factors have a significant impact on boys’ pass rate, whereas only input-level performance and location of the school have a significant influence on the girls’ pass rate. Practical implications – The entropy-based approach highlights the importance of scientific weight assignment. Integrated MCDM demonstrates the significance of aggregation due to the variation in scores related to input-level performance across the methods. Regression analysis facilitates the exploration of determinants influencing the output-level performance of the schools. Originality/value – This work depicts a holistic picture of the performance measurement system of the schools. It encompasses scientific weight assignment to the evaluation criteria, integrated input-level performance assessment of the schools and investigation into the effect of this performance, as well as other contextual factors on the output level performance. Keywords Education, Performance measurement, TOPSIS, VIKOR, Regression, Integrated multicriteria decision-makingen_US
dc.language.isoen_USen_US
dc.publisherInternational Journal of Productivity and Performance Managementen_US
dc.relation.ispartofseriesVol. 71;No. 7
dc.subjectEducationen_US
dc.subjectPerformance measurement
dc.subjectTOPSIS
dc.subjectVIKOR
dc.subjectRegression
dc.subjectIntegrated multicriteria decision-making
dc.titleEvaluating the performance of primary schools in India: evidence from West Bengalen_US
dc.typeArticleen_US
Appears in Collections:Public Policy and Management

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