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In the past decade, the development of the global economy, the change in organizational structures and the maturing of new technologies have led to considerable changes in business structures. Emergency situations, such as the recent COVID-19 pandemic, have led many companies to declare bankruptcy. In this context, the present study aims to analyze strategic opinions of company executives in a declaration of bankruptcy.

To this end, an innovative approach is applied to strategic management and business. First, the authors conducted 14 interviews with executives, and the interview data were transcribed. Second, using textual analysis and data mining techniques, the transcripts were analyzed to understand the importance of indicators identified as relevant in companies in a declaration of bankruptcy.

This resulted in identification of 10 relevant indicators perceived by executives to avoid or anticipate a state of bankruptcy, including innovation, business adaptability, room for improvement in production processes, time to react to situations of alarm, layoffs, support from public institutions, suppliers, international and national regulations, impact on the industry, credits and debts.

The paper concludes with a discussion of important theoretical and practical implications of these findings for the industry. Also, strategic management decision-making strategies are presented as a result of the innovative textual analysis approach used.

The purpose of this paper is to examine the relationship between productivity, firm strategy and bankruptcy risk.

This paper uses data envelopment analysis to compute productivity of firms and uses archival data to empirically examine the relationship between productivity, firm strategy and bankruptcy risk.

The results indicate that productivity has a positive effect on reducing bankruptcy risk, and the results also indicate that pursuing either of the generic strategies successfully has a positive effect on reducing bankruptcy risk. The study also brings to light the mediating effect of productivity in the relationship between strategy and bankruptcy risk.

The effect of productivity and firm strategy on bankruptcy risk is of importance to external stakeholders such as lenders and investors to evaluate the bankruptcy risk of such a firm. Internal stakeholders (managers and management consultants) will find this study expedient by using productivity enhancements and effective strategy implementation to mitigate bankruptcy risk.

This is the first paper to highlight the link between productivity and bankruptcy risk, firm strategy and bankruptcy risk and the mediation effects of productivity on the link between a cost leadership strategy and bankruptcy risk.

The purpose of this paper is to investigate the determinants of bankruptcy protection duration of Canadian public firms, and also investigate the duration for various bankruptcy outcomes including the liquidation and re-emergence of bankrupt firms.

This study uses data on all Canadian public firms that applied for bankruptcy protection over the period 1992–2014. The authors mainly apply duration and survival analyses to draw the main conclusions.

The authors find that larger and older firms with more complicated structures and issues to settle tend to remain under protection from creditors longer, and also ascertain that the fate of relatively successful companies is determined faster. Moreover, the authors report that it takes less time to achieve a final solution for firms under bankruptcy protection when interest rates are increasing and the term spread is high. Finally, firms that file for protection under the Companies’ Creditors Arrangement Act (CCAA) spend longer restructuring than firms that file under the Bankruptcy and Insolvency Act.

The paper investigates only publicly listed firms. The data on private firms that are required to conduct the research are not available.

Various stakeholders including regulators can predict the bankruptcy protection period using the paper’s findings. Depending on the desired outcomes (reduce uncertainly, safeguard jobs or protect creditors’ rights), specific rules can be followed.

To the authors; knowledge, this is the first paper that investigates the Canadian bankruptcy protection duration. It uses the unique Canadian framework to infer the determinants of bankruptcy protection duration and bankrupt firms’ outcomes.

The 1999 bankruptcy of Guangdong International Trust & Investment Corporation (GITIC) remains as China’s largest bankruptcy of a state owned enterprise. Passive foreign investors constituted the majority of the general creditors. This article recounts some particulars of contentious issues which were decided adversely to the general creditors. Some shortcomings of the proceedings are explained, especially relating to the identification of the Chinese governmental entities which owed large amounts of money to GITIC. Questions are raised regarding possible application of the GITIC decision‐making process to bankruptcies involving non‐state owned enterprises.

Bankruptcy is a financial failure of a business or an organization. Different kinds of bankruptcy prediction techniques are proposed to predict it. But, they are restricted as techniques in predicting the bankruptcy and not addressing the associated activities like acquiring the suitable data and delivering the results to the user after processing it. This situation demands to look for a comprehensive solution for predicting bankruptcy with intelligence. The paper aims to discuss these issues.

To model Business Intelligence (BI) solution for BP the concept of reference model is used. A Reference Model for Business Intelligence to Predict Bankruptcy (RMBIPB) is designed by applying unit operations as hierarchical structure with abstract components. The layers of RMBIPB are constructed from the hierarchical structure of the model and the components, which are part of the reference model. In this model, each layer is designed based on the functional requirements of the Business Intelligence System (BIS).

This reference model exhibits the non functional software qualities intended for the appropriate unit operations. It has flexible design in which techniques are selected with minimal effort to conduct the bankruptcy prediction. The same reference model for another domain can be implemented with different kinds of techniques for bankruptcy prediction.

This model is designed using unit operations and the software qualities exhibited by RMBIPB are limited by unit operations. The data set which is applied in RMBIPB is limited to Indian banks.

A comprehensive bankruptcy prediction model using BI with customized reporting.

The purpose of this article is to determine the optimal use of collateral in order to maximize the borrower's wealth by reducing the interest rate payments. This analysis is to shed light on the fundamental question whether good or bad borrowers pledge more collateral.

The analysis bases on a simple firm value model similar to Merton's but with the additional feature that the borrower can bring in collateral. This article not only presents the case with perfect information between borrowers and lenders but also regards the consequences arising from asymmetric information.

A bad borrower, who is characterized by higher bankruptcy costs, riskier projects, and a lower contribution to the project value, typically pledges more collateral than a good borrower. These relationships base on the existence of perfect information between borrowers and lenders. If asymmetric information in terms of the project's riskiness or the contribution of the borrower to the project is present, these relationships invert and good borrowers tend to pledge more collateral. As a result, the allocation of information between a borrower and a lender is crucial for the optimal choice of collateral.

This research underlines the potential for firms to add firm value by pledging collateral because collateral reduces interest rates and therefore results in more attractive terms of the loan. On the other hand, further empirical research can be done to verify our theoretical finding that under perfect information bad borrowers pledge more collateral, while under asymmetric information primarily good borrowers use collateral.

This paper introduces a new motive for the use of collateral and explains – in contrast to many other theoretical models – why bad borrowers tend to pledge more collateral.

The success rate of business rescue in South Africa is concerningly low as it currently ranges between 10% and 12%. This study intends to make a positive contribution towards addressing this problem by obtaining insight from professional business rescue practitioners regarding the feasibility of making use of the practice of business rescue to assist South African state-owned enterprises to avoid them going into insolvency and indefinitely stopping operations. This study, which is a generic qualitative study, will rely solely on the experience and insights of the business rescue practitioners in order to obtain a better understanding of the problem at hand. Nine participants were interviewed during September and October 2020. The study found that business rescue practitioners are confident that the business rescue proceedings are a solution to preserving state-owned enterprises. However, the level of political interference by the unions, government officials, and also the continued bailouts from the government to support these state-owned entities are some concerns raised by the participants as they hinder the effectiveness of the proceedings with regard to state-owned enterprises. Academically, the study expands to the literature on business rescue in the context of state-owned enterprises and what challenges are hindering the process. For managers, the study identifies the key constraints which are most likely to be encountered when conducting business rescue proceedings in a state-owned enterprise which, if not observed, will negatively impact the success rate.

The purpose of this paper is to examine two contrasting financially distressed companies in China and their restructuring strategies. Chinese firms are selected as providing a context where bankruptcy law is in its infancy and where the state is still heavily involved as a shareholder. As a result, the process of distressed company restructuring is likely to differ markedly from that observed in developed economies.

The paper adopts a case study methodology to explore on an in‐depth basis the features of the distress resolution process in the Chinese institutional context and to investigate how it differs from the process in more developed economies. The paper analyses the firms' accounting‐based performance to understand the nature of their difficulties. It then examines the complex restructuring procedures initiated and uses an event study approach to evaluate the stock market's reaction to these strategies.

The distinguishing features of the Chinese restructuring process are as follows. First, the assets of distressed firms are sometimes transferred without payment being made in return. Second, social considerations play a role, in particular the state's need to maintain employment levels or ensure the funding of redundancy payments. Finally, firms can remain in severe financial distress for extended periods of time; possible reasons for this are explored in the paper.

The existing distress literature focuses on developed economies such as the USA and the UK. The paper provides an in‐depth understanding of the special features of the Chinese situation, including the role of government and other more commercially driven shareholders; the subsequent importance of social policy issues; the protracted and complex nature of the restructurings; and the frequent use of mergers, share transfers, asset swaps and asset sales.

In the mid-1970s, China's economy had only two forms of public ownership: state ownership and collective ownership. In the agricultural sector, virtually all production was organized into collectively owned Production Brigades (villages) and People's Communes (townships or groups). In industry, SOEs accounted for 80% of total industrial output, with the remaining 20% shared by urban and rural collectives. By the late 1990s, SOEs and collectives accounted for less than 50% of GDP (International Finance Corporation, 2000; p. 18). Transformation of the ownership of production has undoubtedly been one of the key components of China's successful reform program. This has been achieved through combined efforts: privatization of agricultural production on collectively owned land; new entry of collectively owned industrial enterprises, especially township and village enterprises (TVEs), and their subsequent privatization; new entry of foreign-invested and domestic private enterprises; and ownership transformation of existing SOEs (Mako & Zhang, 2003).

In recent decades, research on consumer debt and well-being is emerging. However, research on the potential effect of debt portfolios on family financial well-being is limited. The purpose of this study is to fill this research gap by examining the potential effect of debt portfolios on family financial well-being, measured by three indicators of progressive financial burdens. These indicators include debt pressure (debt payment to income ratio >40%), debt delinquency (60+ days late for debt payments) and insolvency (total liability > total asset). Debt portfolios refer to various combinations of mortgage, credit card, vehicle, education and other loans.

With data from the 2019 Survey of Consumer Finances in the USA, multivariate logistic regressions are used to identify specific debt types, consumer backgrounds and financial capability factors that are significantly associated with debt burden indicators. The findings are used to create a table demonstrating warning debt portfolios that may lead to undesirable financial outcomes.

Holdings of different types of debts are associated with different financial burdens. Specifically, holdings of three types of debts (mortgage, vehicle and other debts) tend to increase debt pressure; holdings of two types of debts (education and other debts) tend to increase debt delinquency; and holdings of four types of debts (mortgage, credit card, education and other debts) tend to increase insolvency. These results are used to construct warning debt portfolios that show greater chances of undesirable financial outcomes. Among them, the top warning portfolio for debt pressure is the combined holding of mortgage-vehicle-other debts; for debt delinquency is the holding of education-other debts; and for insolvency is the holding of mortgage-credit card-education-other debts.

This study is limited by using only cross-sectional survey data to examine associations between debt portfolios and financial burdens. To examine the causality of debt portfolios on financial burdens, appropriate panel data are necessary, which is a direction for future research. In addition, this study used data from only one developed country. In future research, data from more countries, including both developed and developing countries, should be analyzed to verify if similar relationships exist among families in other countries.

Results of this study have implications for practitioners in banking and other financial institutions. The study presents a comprehensive list of debt portfolios in the order from high risk to low risk in terms of financial burdens. Banking and other financial service professionals can use the information to help their clients make informed borrowing decisions, predict their debt burdens and offer early preventions based on their clients' debt portfolios. Marketing strategists can use the information for effective segmentation and promotion purposes.

This study utilizes a new concept, debt portfolios and examines its associations with family financial burdens. Financial burdens include three indicators that are seldom used together in previous research. These indicators conceptually indicate various severity levels of debt burdens. This study also presents a conceptual discussion on the association between debt portfolios and financial burdens and provides a better understanding of consumer debt behavior and its consequences. The warning debt portfolios constructed based on the findings have direct managerial implications for banking and other financial service professionals.