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The COVID-19 pandemic resulted in millions of lives lost. Beyond its devastating impact, did it also hurt consumer financial well-being? Consumer bankruptcy is often seen as a sign of experiencing extremely overextended debt burdens. This study aimed to identify factors associated with bankruptcy risks, specifically focusing on insolvency (when total debt exceeds total assets) and debt delinquency (being late in debt payments for 60 or more days).

Data were from the US 2022 Survey of Consumer Finances. Two bankruptcy risk variables included insolvency and debt delinquency. Potential influencing factors included in the analyses were COVID-19-induced shocks, financial capability, ownership of various debts and demographics. Logistic regression models were used to detect potential factors associated with bankruptcy risks.

First, a COVID-19-induced shock variable, new work schedule, reduced the risk of insolvency and four shock variables (COVID infection with serious persistent symptoms, work disruption due to childcare responsibilities, work reduction and work increase) increased the risk of debt delinquency. Second, financial capability factors played a crucial role. Desirable financial behavior reduced both risks of insolvency and debt delinquency. Subjective financial knowledge only reduced the risk of debt delinquency. Third, the types of debts held mattered. Holding credit card debt, student loans and other debts increased the risks of both insolvency and debt delinquency. Interestingly, holding auto loans reduced the risk of insolvency.

The data are limited to cross-sectional so that findings are only correlational. The data are from one developed economy, and the results may not be generalized to other economies, especially developing economies. Also, due to the lack of direct measure of consumer bankruptcy, only bankruptcy risks are measured in the study, but the findings can still be informative for understanding consumer bankruptcy behavior.

The results of this study have practical implications for government, business and nonprofit organizations to help consumers reduce the bankruptcy risks. The results suggest that when facing external shocks such as the COVID-19 pandemic, any work-related adjustments may help workers maintain income levels and reduce consumer bankruptcy risks, especially debt delinquency risk. Also, consumers should be encouraged to engage in desirable financial behaviors, such as spending within their income, seeking information before making financial decisions, using financial professionals and planning ahead, to reduce both insolvency and debt delinquency risks.

This study is the first to examine COVID-19-induced factors on bankruptcy risks, enriching the literature of COVID-19 impacts on consumers. Bankruptcy risks are used as negative indicators of consumer well-being, expanding the literature of consumer well-being. The study also examines if financial capability has the potential to reduce bankruptcy risks, an advancement in the literature of financial capability.

The purpose of this study is to examine the association between financial capability and informal bankruptcy, especially among families in which the respondent and/or spouse borrowed student loans to fund their own education and families that did not have such loans.

US nationally representative data were employed. Three family types were used, families with student loans borrowed to fund respondent and/or spouse's education and education was completed (type 1 holders) or not completed (type 2 holders), and families that did not borrow student loans for respondent and/or spouse's education (non-holders). Informal bankruptcy was measured by being insolvent and late in debt payment for 60 or more days. Financial capability was measured by both an index and its various components. Multivariate logistic regressions were conducted to examine associations between financial capability and informal bankruptcy.

Generally, financial capability was negatively associated with informal bankruptcy, and student loan holders were more likely to be informally bankrupt than non-holders. However, such negative associations were statistically significant for type 1 holders and non-holders but insignificant for type 2 holders. Two desirable financial behaviors (information search and online banking) reduced the chance of informal bankruptcy for type 2 holders.

First, cross-sectional data cannot establish a causal relationship. Second, findings using data from a single country may not be generalized to other countries.

Financial service professionals should help loan applicants evaluate the necessity of borrowing. Banking professionals can use the findings to develop products to meet different consumer needs. Financial educators should target different groups with different strategies in financial capability education. Policymakers should develop policies helping student loan holders complete education funded by student loans.

This study examines factors related to informal bankruptcy, providing insights to warning signs of bankruptcy. This study explores the potential effect of a new factor, financial capability, on informal bankruptcy, filling in a gap in the bankruptcy literature. This study recognizes differences in informal bankruptcy among various types of families and examines the different effects of financial capabilities on informal bankruptcy for different types of families.

The purpose of this literature review paper is to define consumer finance, describe the scope of consumer finance and discuss its future research directions.

In this paper, consumer finance is used as a synonym of household finance. Consumers refer to individuals and families. After defining the term “consumer finance,” we conducted a critical review of consumer finance as an interdisciplinary research field in terms of money managing, insuring, borrowing and saving/investing. Future research directions are also discussed.

This paper discusses similarities and differences among several terms such as consumer finance, household finance, personal finance, family finance and behavioral finance. The paper also reviewed key studies on consumer financial behavior around four key financial functions, namely, money management, insurance, loan and saving/investment and several nontraditional topics such as fintech and financial capability/literacy. The paper also introduced several datasets of consumer finance commonly used in the United States and China.

This paper clarified several similar terms related to consumer finance and sorted out the diverse literature of consumer finance in multiple disciplines such as economics, finance and consumer science, which provide a foundation for generating more fruitful research in consumer finance in the future.

The purpose of this study was to examine family structure differences in debt types and burdens of American families.

Data was from the 2016 Survey of Consumer Finances. Eight types of family structures, five specific debts, and two debt burden indicators are examined with multivariate logistic regressions.

After controlling for several socioeconomic variables, multivariate logistic regression results show that married with children families are more likely than five other family types to have any debt. In terms of specific debt, married with children families are more likely than six other types of families to have mortgages, four other types to have credit card loans, five other types to have to vehicle loans, three other types to have education loans, and one other type to have purchase loans. Married with children families are more likely than three other types of families (childless married couples, single males, and single females) to be late in debt payment for 60 or more days.

The data is limited to one-year cross-sectional data. To gain more insights on this topic, panel data could be used.

The findings can be used for financial service professionals to identify loan demand and risk associated with various family structures and develop effective marketing strategies to serve these clients.

The findings are informative for public policymakers to develop family friendly economic policies and for consumer educators who help consumers make effective financial decisions when borrowing various types of loans.

First, this study uses an innovative definition of family structure that counts several nontraditional family structures. Second, this study examines family structure differences in holdings of five specific debts together.

The aim of this study was to investigate the impact of the transactive memory system (TMS) on green innovation and examine the mediation role of the social network at all hierarchical levels.

Three hypotheses were examined by performing regression analyses on survey data from manufacturing firms in China. Especially, the nested sets of data from 389 individual observations nested in 53 work teams, including individual level and collective level have been investigated.

The study results show that the TMS has a positive effect on green innovation. Furthermore, the results indicate that at the team level, structure holes' mediation in this relationship is stronger than degree centrality; at the individual level, weak ties mediation in the relationship of specialization and green innovation is stronger than strong ties, conversely, strong ties mediation in the relationship of credibility and green innovation is stronger than weak ties.

This study expands previous research by highlighting the significance of multilevel social network elements in the context of the TMS and sustainable development and enriches the present research on green innovation.

Since stock return and volatility matters to investors, this study proposes to incorporate the textual sentiment of annual reports in stock price crash risk prediction.

Specific sentences gathered from management discussions and their subsequent analyses are tokenized and transformed into numeric vectors using textual mining techniques, and then the Naïve Bayes method is applied to score the sentiment, which is used as an input variable for crash risk prediction. The results are compared between a collection of predictive models, including linear regression (LR) and machine learning techniques.

The experimental results find that those predictive models that incorporate textual sentiment significantly outperform the baseline models with only accounting and market variables included. These conclusions hold when crash risk is proxied by either the negative skewness of the return distribution or down-to-up volatility (DUVOL).

It should be noted that the authors' study focuses on examining the predictive power of textual sentiment in crash risk prediction, while other dimensions of textual features such as readability and thematic contents are not considered. More analysis is needed to explore the predictive power of textual features from various dimensions, with the most recent sample data included in future studies.

The authors' study provides implications for the information value of textual data in financial analysis and risk management. It suggests that the soft information contained within annual reports may prove informative in crash risk prediction, and the incorporation of textual sentiment provides an incremental improvement in overall predictive performance.

This study aims to provide an overview of bank marketing through a retrospection of the International Journal of Bank Marketing (IJBM), the leading journal for bank marketing.

This study conducts a bibliometric analysis to analyze the performance and intellectual structure of bank marketing literature curated through IJBM between 1983 and 2020.

This study sheds light on the growing influence and impact of IJBM on the field of bank marketing through six major clusters (themes): relationship marketing and service quality in banking and financial services, consumer behavior in banking and financial services, customer satisfaction and loyalty in banking and financial services, electronic or online banking and financial services, Islamic banking and financial services, and service failure and recovery in banking and financial services.

Though this study offers a state-of-the-art overview of bank marketing through the lens of IJBM, the insights remain limited to the accuracy and availability of bibliographic data of the journals from Scopus.

To the best of the authors' knowledge, this study represents the first objective assessment of bank marketing and IJBM. Thus, this study should be useful to past and prospective authors, editorial board members, editors, readers and reviewers to gain a one-stop understanding about bank marketing through the contributions of IJBM.

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.

Engineered material arresting systems (EMASs) are dedicated to stopping aircraft that overrun the runway before they enter dangerous terrain. The system consists of low-strength foamed concretes. The core component of the arresting system design is a reliable simulation model. Aircraft test verification is required before the practical application of the model. This study aims to propose a simulation model for the arresting system design and conducts serial verification tests.

Six verification tests were conducted using a Boeing 737 aircraft. The aircraft was equipped with an extra inertia navigation system and a strain gauge system to measure its motion and the forces exerted on the landing gears. The heights of the arrestor beds for these tests were either 240 or 310 mm, and the entering speeds of the aircraft ranged from 23.9 to 60.6 knots.

Test results revealed that both the aircraft and the pilots on board were safe after the tests. The maximum transient acceleration experienced by the dummies on board was 2.5 g, which is within the human tolerance. The model exhibited a satisfied accuracy to the field tests, as the calculation errors of the stopping distances were no greater than 7 per cent.

This study proposes a simulation model for the arresting system design and conducts serial verification tests. The model can be used in EMAS design.

The purpose of this paper is to document debt delinquency patterns by family lifecycle categories using multiple data sets that are nationally representative of American families.

Based on previous research, 15 lifecycle categories appropriate for American families are defined by household head's age, marital status, presence of children, and age of children. Data used are from Surveys of Consumer Finances (SCF) in the USA in 1992-2010. Multiple logistic regressions are conducted to identify probabilities of debt delinquencies of families in various lifecycle categories by controlling for income, financial assets, holdings of several types of debt, and several other demographic and socioeconomic variables.

The results show that among the 15 household lifecycle categories, the top three most likely to be delinquent are young couples with children aged seven or older, middle-aged singles with children aged 15 or older, and middle-aged singles with children under 15. Younger households are more financially distressed than their older counterparts. Presence of children increases the probability of debt delinquency.

In this study, multiple national data sets representing American families are used to document debt delinquency patterns by family lifecycle categories. Results shed light on this important topic and offer helpful information for both banking industry practitioners and consumer financial educators.

The information produced by this study can help bank managers better identify their potential clients and understand their current customers. Different marketing strategies based on the research findings can be developed to attract and retain customers with different delinquency risks.

This is the first study to examine debt delinquencies by family lifecycle categories with multiple SCF data sets in the USA. The 15 family lifecycle categories used are based on recent research that is specially designed for American families. The research findings provide straightforward implications for both bank managers and consumer educators.