Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling for working capital efficiency: integrating SBM-DEA and artificial neural networks in Indian manufacturing Subject The topic of the resource Data envelopment analysis; India; Manufacturing; Neural networks; Sensitivity analysis; Slack-based measure; Working capital management Description An account of the resource Purpose: This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN). Design/methodology/approach: A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME. Findings: Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME. Originality/value: The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively. 2024, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Seth H.; Tripathi D.K.; Chadha S.; Tripathi A. Source A related resource from which the described resource is derived Journal of Modelling in Management Publisher An entity responsible for making the resource available Emerald Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/JM2-07-2024-0210" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/JM2-07-2024-0210</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204382699&amp;doi=10.1108%2FJM2-07-2024-0210&amp;partnerID=40&amp;md5=afff0cf90eaa18d5a7b2266ba1d28059" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204382699&amp;doi=10.1108%2fJM2-07-2024-0210&amp;partnerID=40&amp;md5=afff0cf90eaa18d5a7b2266ba1d28059</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17465664 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Seth H., Indian Institute of Management, Rohtak, India; Tripathi D.K., Department of Management, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, India; Chadha S., Department of Management, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, India; Tripathi A., Department of Professional Studies, CHRIST University, Bangalore, India