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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Korath, Maya; Nayak, Surekha Title A name given to the resource Assessing Financial Distress to Foster Sustainable Growth: Insights from Indian Listed Companies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;236;pp.157-168 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-86712-5_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-86712-5_12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105010923105?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010923105?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Korath M., Christ (Deemed to Be University), Bengaluru, India; Nayak S., School of Business and Management, Christ (Deemed to be University, Bengaluru, India Description An account of the resource A companys success and survival depend on its financial viability, which is primarily determined by its strong key financial ratios. When these ratios fall below the critical levels, the companys long-term survival is threatened indicating the onset of financial distress (FD). In this context the FD prediction models can act as an early warning system, enabling corporate managers to intervene mid-way and take corrective action. This study focuses on Indian-listed companies that filed under the Insolvency and Bankruptcy Code (IBC) 2016, between the years 2020 and 2023. Out of the 200 listed companies that applied for bankruptcy, 40 companies were selected for the study that showed either the status as Resolution plan or withdrawal or Rejected as per the National Company Law Tribunal (NCLT) order. To analyze the long-term survival prospects of these companies, the study employs Altmans Z-score modelsthe initial Z-score model for publicly traded companies and the EMZ score that is modeled for emerging markets like India. Both the models were calculated along with Z-score probabilities to gauge the likelihood of financial distress. Additionally, the Beneish M-Score was calculated to validate the financial data. The results from the Z-score models indicate that several companies showed declining financial stability during the study period with some on the verge of bankruptcy, while the M-score revealed potential financial manipulation in certain cases. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource Bankruptcy; Financial distress; M-score model; Prediction model; Sustainable growth; Z-score model Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online