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The purpose of this paper is to evaluate firm financial success across a broad range of performance measures and identify areas of the performance spectrum for which positive results were most difficult to achieve. Simultaneously, the authors identify the firms that most frequently ranked among the top five in terms of composite financial performance.

The dichotomous Rasch model was applied to 13 financial ratios for two industries for the years 2002‐2011. Of these ratios, the authors identify those that are consistent with the requirements of the Rasch model and suitable for ranking composite firm financial performance in each industry during the sample years. Ratio difficulty rankings are obtained, along with firm rankings reflecting managers' ability to achieve broad‐based financial success.

For the Foods and Aerospace/Defense industries during 2002‐2011, above average performance was most difficult to achieve in the areas of liquidity, financial leverage, and market valuation. Above average profitability and returns on investment seem to have been easier performance targets during this sample period. The authors also list the ticker symbols of firms with managers who consistently achieved top overall financial performance.

The performance data for each industry and time period have to fit the requirements of the Rasch model. In addition, it must be possible to translate continuous metric readings into binary measures without losing relevant information. Future research might explore the use of more sophisticated Rasch models, measures of non‐financial firm performance dimensions, additional industries and time periods.

This research offers managers, investors and regulators a fresh perspective on the evaluation of firm financial performance and managerial ability.

Rasch models are widely used in the human sciences. Application of this methodology to firms offers a more comprehensive view of firm performance and may reveal factors relevant to firm valuation that have previously been ignored, thus possibly impacting the allocation of capital across firms and industries.

To the authors' knowledge, this research represents a first attempt to apply the Rasch approach to an evaluation of managerial ability as reflected in a firm's overall financial performance.

The purpose of this paper is to examine the impact of financial ratios on the financial performance of a chemical company: LyondellBasell Industries (LYB). Some selected ratios: current ratio (CR) and quick ratio (QR) represent the liquidity ratios, debt ratio (DR) and debt equity ratio (DTER) represent the leverage ratios, while operating profit margin (OPM) and net profit margin (NPM) represent the profitability ratios. LYB faced financial problems after its merger and the financial performance of the company shrank to negative due to the world financial crisis. However, this company has bounced back after a year and is now the world's third largest chemical company based on revenue.

The financial ratios were measured from 2004 to 2011, quarterly. A multiple regression model has been used and secondary data has been analyzed.

The results shows that CR, QR, DR and NPM have a positive relationship while DTER and OPM have a negative relationship with the company's financial performance. Among the six ratios, CR, DR and NPM show the highest significant impact on the company's performance.

This research paper contributed the result of the impact of financial ratios on the financial performance of a chemical company as the previous studies with this focus are hard to find and some of the sources are not specifically related to the topic.

Hospitals’ corporate governance (CG) mechanisms oversee critical operational issues and evaluate the outcomes. This paper investigates the impact of CG (i.e. board size, board independence, board expertise, board meetings, board gender diversity, CEO gender, and academic directors) on the financial performance of English National Health Service (NHS) hospitals and separately by hospital type (i.e. trusts and foundation trusts).

The sample includes 128 NHS hospitals. The data were collected through document analysis and archival work from annual hospital reports from 2014 to 2018.

The findings indicate that board expertise, board meetings, board diversity, CEO gender, and academic directors significantly and negatively affect NHS hospitals’ financial performance. For NHS trusts, the results reveal that board expertise, board diversity, and CEO gender have a significant negative effect, while for NHS foundation trusts, only CEO gender has a significant negative impact.

Overall, this study contributes to the literature on the healthcare system. It holds significant practical implications for hospital governance and has important implications for theories.

This study primarily examines the link between carbon and financial performance in the Asia-Pacific region. In addition, the study also explores how the economic impact of carbon performance varies in carbon-intensive and non-carbon-intensive industries.

This study takes a sample of 1,539 non-financial firms from 13 Asia-Pacific countries from 2014 to 2021. It employs a firm-fixed effect panel regression model to examine the objective.

The findings indicate that carbon performance improvement enhances accounting-based and market-based financial performance. The positive impact of carbon abatement stems from increased operational efficiency, energy efficiency and lower production costs. Further, the stock market participants also reward the firm for carbon efficiency. However, the carbon intensity of industrial sectors presents a conflicting picture for this association.

This study adds insights to the literature by providing a contemporary reflection on the nexus between carbon emissions and economic outcomes in the understudied Asia-Pacific region. It also unveils the nuanced difference in the carbon-financial performance relationship attributed to industries' carbon sensitivity.

This study aims to determine the association between the companies’ financial indicators and the Dow Jones Sustainability MILA Pacific Alliance Index (DJSMPAUP Index).

The study adopted a quantitative, explanatory level approach, based on measuring the interactions between the financial performance ratios of these companies (return on assets, return on equity, EBITDA margin and net margin) and sustainability index of MILA member countries. The study used a non-experimental, retrospective, cross-sectional design, using observed data from the annual period spanning 2017 to 2022 for MILA companies and includes analyses before and after COVID-19.

The estimates show a positive and statistically significant relationship between each company’s financial indicator and the DJSMPAUP index for the period 2017 to 2022.

The primary limitation of the study was the availability of data, which restricted the use of more advanced statistical analyses, and the inclusion of many factors that can be associated with DJSMPAUP. This constraint arose since the index was introduced only from the 2017 annual period, resulting in a limited dataset.

The study sheds light on MILA’s companies and their characteristics and specific conditions, which can help to improve sustainability strategies with an impact on financial performance, primarily due to the significance of MILA in the world economy and the GDP of Latin America. It focuses on an emerging market with a few years of applying sustainability policies.

This study contributes to revealing the progress in sustainability for member companies in MILA.

The study connects the financial performance and the sustainability of organizations oriented to the emerging significance of MILA in the world economy.

This article aims to examine the direct and indirect effect among total quality management (TQM), corporate social responsibility (CSR) and financial and non-financial performance.

The empirical data were collected from a survey of 120 Tunisian certified firms using questionnaires. Structural equation path modeling PLS-SEM) was performed to test the research hypotheses.

The results indicate that TQM has no direct effect on financial performance (FP), while they positively impact non-financial performance (NFP) and CSR. The study also shows that CSR positively and significantly influences FP and NFP. In addition, it reveals the positive impact of FP on NFP. Furthermore, the results reveal an indirect effect of TQM on financial and non-financial performance through CSR.

The empirical study bridges the gap in the literature by analyzing the direct and indirect effect between TQM, CSR and performance in a single model. It also highlights the important role of CSR between TQM and financial and non-financial performance in the context of emerging countries.

The purpose of this study was to examine the determinants of financial performance of the rural microenterprises, with microcredit access as the mediating variable.

A survey using a self-administered questionnaire to the managers/owners of the rural microenterprises was adopted. The data was collected on the three study variables; financial literacy, credit access and financial performance. A total of 148 fully completed and useable questionnaires were used in the analysis. The researchers performed factor analysis, correlations, regression and mediation analysis to test the hypotheses.

The study revealed the existence of a statistically significant and positive relationship between financial literacy and microcredit access, microcredit access and financial performance. On the other hand the financial literacy had a significant but negative impact on the financial performance of the rural microenterprises. In the final analysis, financial literacy is only effective in impacting financial performance when mediated by microcredit access. We conclude that policies that emphasize financial literacy are ineffective in fostering the financial performance and growth of the microenterprises.

The study is original as it addresses the combined effect of credit rationing and resource based view theories to explain the financial performance of informal rural microenterprises that are the key livilihood business undertaking in many developing countries.

Given the growing emphasis among scholars, practitioners and policymakers on financial sustainability, this study aims to explore the applicability of machine learning techniques in predicting the financial performance of microfinance institutions (MFIs).

This study gathered 9,059 firm-year observations spanning from 2003 to 2018 from the World Bank's Mix Market database. To predict the financial performance of MFIs, the authors applied a range of machine learning regression approaches to both training and testing data sets. These included linear regression, partial least squares, linear regression with stepwise selection, elastic net, random forest, quantile random forest, Bayesian ridge regression, K-Nearest Neighbors and support vector regression. All models were implemented using Python.

The findings revealed the random forest model as the most suitable choice, outperforming the other models considered. The effectiveness of the random forest model varied depending on specific scenarios, particularly the balance between training and testing data set proportions. More importantly, the results identified operational self-sufficiency as the most critical factor influencing the financial performance of MFIs.

This study leveraged machine learning on a well-defined data set to identify the factors predicting the financial performance of MFIs. These insights offer valuable guidance for MFIs aiming to predict their long-term financial sustainability. Investors and donors can also use these findings to make informed decisions when selecting their potential recipients. Furthermore, practitioners and policymakers can use these findings to identify potential financial performance vulnerabilities.

This study stands out by using a global data set to investigate the best model for predicting the financial performance of MFIs, a relatively scarce subject in the existing microfinance literature. Moreover, it uses advanced machine learning techniques to gain a deeper understanding of the factors affecting the financial performance of MFIs.

Recognizing economic literacy as a vital form of intellectual capital provides essential tools to mitigate the adverse impact of risk factors on business organizations' performance. This recognition serves as a strong rationale for prioritizing economic literacy as a strategic asset in navigating the complexities of risk factors for sustained organizational performance. To bridge this gap, this study examines the role of risk factors in the economic literacy of an organization and how they affect organizational performance.

This exploratory study employed a qualitative research method, utilizing a systematic review with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach to identify gaps. A comprehensive search across databases was conducted using keywords related to risks, economic literacy and organizational performance. In total, 32 articles were meticulously analyzed, focusing on methodology, results and discussion sections to address research questions.

This study highlights the impact of risk factors on economic literacy and organizational performance, focusing on risk-taking, attitude, enterprise risk management (ERM), financial literacy and organizational performance. It reveals that possessing economic literacy can mitigate financial risks in corporations by helping entrepreneurs identify business opportunities and pitfalls, enabling informed and prudent financial decision-making. Conflicting findings challenge existing knowledge on the link between risk factors and financial literacy, particularly in new product development decisions, highlighting the need for further investigation into environmental factors shaping this connection.

The study developed a conceptual model that explains the interaction among economic literacy, risk factor and organization performance, which has implications for the development of the required intellectual capital to mitigate the impact of risk factors. Also, the study identified diverse conceptual, methodological and geographical gaps that will provide direction for future studies. Future research could delve into firm-level or cross-country data via surveys, interviews or focus groups, enriching the research's robustness and depth for nuanced insights into the investigated relationships.

The purpose of this research is to undertake a bibliometric analysis of financial performance research in of higher education sector. The study examines papers over the last 2 decades and performed performance analysis, co-citation analysis, bibliographic coupling and scientific mapping.

The study examines 616 documents retrieved from the Scopus database using bibliometric analysis, performance analysis and thematic clustering. The study looked at the scientific productivity of papers, prolific authors, most influencing papers, institutions and nations, keyword cooccurrence, thematic mapping, co-citations and authorship and country collaborations. VOS viewer was employed as a tool in the research to conduct the performance analysis and thematic clustering.

This study delves into the recent advancements in financial performance research within higher education, focusing particularly on the year 2023, characterized by a peak of productivity with 46 significant articles. Notable institutions contributing substantially to this discourse include the University of Sussex (UK), and Ratio Institute Stockholm (Sweden), each referenced 227 times. The United Kingdom has emerged as a leader in financial performance research, amassing 3,850 citations from 92 publications. Key journals driving this conversation include “Entrepreneurship: Theory and Practice” and “The British Journal of Political Science.” The most cited study examines the impact of business-university partnerships on innovation and financial outcomes.”

This is the first study that provides a performance analysis and scientific mapping of the financial performance literature in the higher education sector. In addition, this study is the initial one to do a thorough analysis and organized representation of financial performance in the higher education sector, providing an unparalleled understanding of a hitherto uninvestigated area of academic research.