This research is motivated by the low level of financial welfare among lecturers, which is influenced by the complexity of economic factors, financial behavior, and the development of financial technology. In the context of Muslim society, variables play a very important role in shaping financial satisfaction, especially if mediated by healthy financial behavior. The approach used is Systematic Literature Review (SLR) with the PRISMA protocol, which includes a literature search on the Google Scholar database using the Publish or Perish tool and Bibliometric and VOSviewer analysis of publications during 2014–2024 as many as 127 articles. The four independent variables have a positive influence on financial satisfaction, either directly or indirectly through financial behavior, with sharia financial literacy and financial technology occupying the most dominant position. The integration of the four variables in a single model makes a theoretical contribution to the development of a conceptual framework that integrates cognitive, behavioral, technological, and religious value dimensions. In this paper, the variable of qona'ah attitude is used which is rarely used in the concept of financial satisfaction. This study is mainly in data sources that only include open access literature in the 2014–2024 timeframe, which has the potential to ignore important findings from paid articles or publications prior to that period. For further research, it is recommended to test this mediation model in cross-border and cultural populations, as well as the exploration of the integration of other psychological variables such as financial self-efficacy.

Technology-mediated client behaviors have emerged as critical determinants of organizational effectiveness and competitive positioning in the financial services landscape. This study examines multi-criteria client risk assessment within financial institutions, exploring the key facets that drive organizational capability development in managing digital transformation challenges. Using logistic regression and mediation analysis, we conducted an in-depth analysis based on a sample of 2,824 client profiles and comprehensive social media behavioral validation using 53,187 Reddit posts. Our findings reveal that technology usage assessment capabilities, age-based segmentation strategies, and behavioral motivation evaluation are the primary factors influencing organizational effectiveness in client risk management. In particular, systematic technology assessment emerged as the most critical determinant, underscoring the importance of developing sophisticated behavioral analytics capabilities to address evolving digital client behaviors. The implications of our findings extend to organizational strategy, innovation, and future research directions in financial services management, offering valuable insights to improve institutional effectiveness and competitive positioning against evolving technology-mediated challenges.

This study discusses Integrated Reporting (IR) research through the lens of its thematic, geographical, and citation evolution from 2006 to 2024. The methodology demonstrates 1,136 SCOPUS-indexed publications, the PRISMA framework, VOSviewer for co-occurrence mapping and Bibliometrics for trend and thematic analysis. The findings reveal that the subject has evolved towards empirical (quantitative) investigations addressing IR quality, determinants, and organizational outcomes. Geographical mapping shows research concentration in Europe and emerging engagement from Asia-Pacific regions, while citation analysis highlights the growing influence of sustainability and ESG-oriented frameworks. Thematic mapping further identifies a paradigm shift from standalone IR studies toward integrated approaches combining CSR, ESG, and SDG perspectives, reflecting the institutionalisation of IR. Unlike previous bibliometric studies, this paper covers a longer time span and a broader dataset, about how the field has matured as a bridge between financial and non-financial reporting. The study thus shows new areas of research to focus.

Aviation transportation, as the aerial corridor supporting the global economic operation, has become increasingly significant in the post-pandemic recovery phase. However, beneath the industry prosperity lie numerous risks and challenges. This paper initially elaborates systematically on the rationale for selecting CNN models for conducting research on financial risk early warning, followed by the choice of publicly listed airlines in the A-share market, thereby establishing samples for financial risk early warning and financial health. Subsequently, through differential testing of these two sample categories, suitable financial risk early warning indicators tailored for airlines are scientifically and systematically sifted out. Moreover, to address issues such as the different dimensions of indicator data, the imbalance in the number of sample categories, and dataset partitioning, data preprocessing efforts are undertaken. Finally, the processed data is fed into the CNN model for training, followed by an assessment and analysis of its early warning efficacy.

Micro and Small Enterprises are a critical catalyst for socio-economic development in Brazil. However, financial and technical limitations frequently hinder the access and implementation of management tools by Micro and Small Enterprises. This study addresses this challenge through a case study that applies the Throughput Accounting to determine the most profitable production mix for the small enterprise Bianfer Indústria Metalúrgica. The company manufactures and commercializes parts and components for agricultural machinery and equipment in Brazil. Production mix decisions are currently based on the owners’ experience, sales history, and Absorption Costing. This approach, however, generates additional costs and inventory thereby compromising the profitability of Bianfer Indústria Metalúrgica. The pursuit of enhanced profitability led to the formulation of three hypothetical scenarios to compare the production mix proposed by Absorption Costing and Throughput Accounting concerning the Return on Assets (ROA). Mathematical modeling and scenario simulations were conducted using the Microsoft Office Excel 365. The results indicate that Throughput Accounting is readily adaptable, solves the problem more quickly, and provides superior financial gains (ROA from 1.36% to 2.71%). This study addresses an important practical gap that can guide students, professionals, and researchers in the application of Throughput Accounting. The main contribution of this study is empirical evidence that Throughput Accounting is an effective management tool for Micro and Small Enterprises. The implementation of Throughput Accounting through a simple Microsoft Office Excel model can significantly improve production mix decision-making in Micro and Small Enterprises.

The present study has considered securities data and Environmental, Social and Governance (ESG) measures of firms from France, Japan and the United Kingdom. Securities data and ESG measures are subjected to cross-sectional OLS regressions of working capital and cash conversion cycle on ESG risk ratings. Agency cost effects have been found, as ESG risk increased working capital, while reducing the cash conversion cycle. Results are consistent across all three countries. It has been concluded that failure to meet ESG goals increases firm risk. The increase in risk may be met by increasing short-term liquidity. The unnecessary increase in short-term liquidity limits the firm’s ability to employ funds to exploit growth opportunities and maximize shareholder wealth.

This study examines the impact of capital structure on firm value within the food manufacturing sector of South Africa, addressing a critical gap in the literature on emerging markets. Using a balanced panel dataset of eight listed firms from 2007 to 2018, the research utilizes panel regression models—Common Effect (CEM), Fixed Effect (FEM), and Random Effect (REM)—with the Hausman test indicating REM as the optimal choice. Key findings demonstrate that profitability (RA), debt-to-equity ratio (DE), and firm size (FS) significantly enhance stock prices at a 1% significance level. In contrast, liquidity (CR) negatively affects stock prices (10% significance), while asset growth (AG) shows no significant impact. These results challenge traditional capital structure theories, emphasizing that South African firms strategically use debt for tax advantages despite market volatility, a stark contrast to developed economies where liquidity is typically prioritized. The study highlights the contextual significance of macroeconomic factors, such as energy shortages and regulatory policies (e.g., Black Economic Empowerment), in influencing financing decisions. By bridging the gap between classical theories and emerging market dynamics, this research provides actionable insights for policymakers to encourage sustainable capital structures, for investors to reconsider the role of liquidity in volatile environments, and for the government to develop better policies to support businesses. This research is novel; it is among the first to investigate the link between firm value and capital structure specifically for food manufacturing companies in South Africa over 12 years. It is distinctive because it frames capital structure choices within the unique industrial and economic environment of South Africa, contributing a framework for optimizing firm value in similar emerging markets.

The study investigated how public funds promote maternal and child health indicators in Nigeria from 1978 to 2023. The study adopted a generalized method of moments (GMM) in the analysis. The empirical results revealed that health expenditure positively and significantly impacted maternal and child health in Nigeria. The study concluded and recommended that the government should focus on increasing allocation to the health sector year in and year out to improve maternal and child health rather than relying on international funding, as an increase in health expenditure reduces the maternal and child mortality rate in Nigeria.

This study investigated the impact of corporate financial strategies-(CFSs) on the performance of companies listed on the Shanghai Stock Exchange-(SSE) from 2010-2023, analyzing data from 2,269 firms, yielding 31,766 balanced firm-year observations. Utilizing a mixed-methods approach with a quasi-experimental design grounded in pragmatism, the inquiry employed two-step System-GMM technique to address endogeneity, simultaneity, heteroscedasticity, reverse causality and Nickell bias. Fixed effects-(FE) and random effects-(RE) models were applied to handle unobserved heterogeneity, omitted variable bias and guarantee robustness. The results revealed that, total-debt-to-assets-ratio-(TDTAR) and dividend yield-(DY) significantly and negatively impacted firm performance-(FP), measured by return on assets-(ROA) and Tobin’s Q-(TQ). Contrary, cash conversion cycle-(CCC), current ratio-(CR), total-assets-turnover-(TAT), tangibility-(TANG), total-equity-to-total-assets ratio-(TETAR), dividend payout ratio-(DPR), firm size-(SIZE), and firm age-(AGE) had a significantly positive effect on FP-(ROA and TQ). The study emphasizes the importance of effective CFSs in improving FP and offers insights for policymakers, investors, and managers, highlighting the need for corporate deleveraging, capital structure optimization and efficient asset and working capital management. Although focused on China, the study’s framework is applicable to other emerging markets, providing valuable theoretical, conceptual, and methodological insights as it integrates CFS metrics into the resource-based view theory-(RBVT), extending the theory’s scope making it more robust and generalizable.

In this study, we examined the volatility trend of stock return in eight ASEAN stock markets. These includes the Singapore Exchange (SGX), Bursa Malaysia Stock Exchange (YSX), the Stock Exchange of Thailand (SET), Indonesia stock exchange, the Vietnam Stock Exchange (VNX), the Cambodia Securities Exchange (CSX), the Lao Securities Exchange (LSX), and the Philippine Stock Exchange. Secondly, we evaluated the factors that influence the level of return in those stock markets with exchange rate volatility as a control variable. By employing FIGARCH-DCC and ARDL models, the study aimed to provide a more robust understanding of stock market dynamics. The findings reveal significant negative returns effect of market volatilities and liquidity crisis in all the stock exchanges of all sample countries in the study. In Singapore, money supply variation, market volatility, liquidity risks, and exchange rate volatility significantly influenced stock returns positively. The short-run model explains 52.26% of the variation in stock returns. Only in Malaysia, we had significant positive returns from exchange rate volatility. Nevertheless, the Russian model explains just 22.22% of the variation in stock returns. In Thailand and Indonesia alike, returns significantly and positively responded to variation in money supply, while the volatility in the market and currency rate exchange adversely impacted returns. The short-run models explain 53.66% and 65.21% of the variation in stock returns for Vietnam and Indonesia, respectively. The variation in money supply does not significantly affect stock returns and has no significant contribution to returns in Cambodia. The Cambodia model explains around 48.34% of the variation in returns. For Lao Stock Exchange, return effects of liquidity risk, and exchange rate instability were significant and negative. Market volatility had insignificantly impacted stock returns in Nigeria. The Lao model explains 50.38% of the variation in stock returns. In the Philippine Stock Exchange, the returns effect of exchange rate volatility and liquidity crisis are adverse and significant. Money supply variation and market volatility had insignificant influence on returns. The model explains 68.11% of the variation in returns. In the Philippines, market volatility, liquidity risks, and exchange rate volatility adversely impacted returns. Money supply variation had no such significant influence on returns. The panel model of the Philippines explains 62.9% of the variation in stock returns. The research accentuates the need for governments to stabilize exchange rates, boost liquidity, through targeted policies aimed at managing stock market dynamics especially as it relates to stock volatility in order to foster meaningful growth and development of the financial market.