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Successful farm business managers must understand the determinants of profitability and have an overall long‐term or strategic management focus. The objective of this research was to explore the use of an e‐learning tool to help producers understand the impacts of different production, pricing, cost control, and investment decisions on their farm’s financial performance. This objective was accomplished by developing and testing a computer‐based training and application tool to facilitate determination of the financial health of farm businesses using the DuPont profitability analysis model. The results of the two experiments indicate that the computer software was effective for teaching techniques of profitability analysis contained within the DuPont model.

The purpose of this paper is to use the DuPont expansion to examine those factors underlying differences in (rates of) return on different crop portfolios over space (ten regions) and time (1960‐2004). The paper also estimates the impact of government payments on farmland values through its impact on farm profitability.

Businesses use the DuPont model to analyze the profitability of a business. This model includes three components: net profit margin, asset turnover, and financial leverage (or assets to equity). It is based on the relationships among these three components and is expressed as a product of ratios. For the purposes of the current study, accrued capital gains from (total) returns are excluded to focus on cash returns “cash flow”. Returns from current income are a “cash flow” available in the short run to pay financial obligations. Furthermore, returns from capital gains are not liquid; they are gains in wealth fully captured as capital gains/losses only in the longer term. Following the DuPont approach, the effect of government payments on farm asset values is equal to the sum of the effect of government payments on profit margins plus the effect of government payments on the asset turnover ratio.

The analysis focuses on agricultural profitability in the ten Economic Research Service (ERS) regions. By comparing the components of the DuPont expansion, profitability differences over time are analyzed. The results indicate that one cause of low profitability in the Corn Belt and Mountain regions is a perpetually low profit margin while the evidence for other regions supports lower asset efficiency. Results show that government payments impact the profit margin and affect value of farm assets in particular farmland values but not asset turnover ratio.

The use of DuPont expansion factor in agriculture is original and really helps us to understand the factors driving profitability in agriculture. Another innovation (originality) in this paper is the theoretical model that connects the DuPont expansion factor, government payments and its impact on farmland values.

Job satisfaction along with a work–life balance of attorneys in law firms has become an important issue to the legal industry. This paper examines the relationship between strategic positioning of law firms and the job satisfaction of their associates.

Using 1,108 firm year observations of US law firms from 2007 to 2016, this paper examines how a firm's strategic positioning affects the job satisfaction of its associates. The strategic positioning is measured with two financial ratios derived from modified DuPont analysis: revenue per lawyer (RPL) and leverage (LEV). To compare the level of associates' job satisfaction depending on law firms' RPL and LEV, this paper uses t-tests. In addition, this paper adopts OLS regression and simultaneous equations to examine the relation between law firms' strategic positioning and their associates' job satisfaction.

This paper shows that associates in the law firms with a high LEV strategy have lower job satisfaction because these firms provide a more demanding work environment than in the firms with a high RPL strategy.

This paper first documents empirical evidence that a firm's strategic positioning significantly influences job satisfaction of its employees, using data on the legal industry which is human-capital-intensive and is considered one of the sectors that provide the most notorious work environments.

The academic literature has examined why bank runs happen based on the work of 2022 Nobel Prize-winning economists Diamond and Dybvig. They have found the source of banking/financial crisis in terms of mismatch between liabilities (deposits being short term and savers wanting to short-term access to their money) and assets (long term and illiquid). The Lakshmi Vilas Bank (LVB) crisis intensified when it came under Prompt Corrective Action (PCA) of the Reserve Bank of India (RBI). This situation provides the opportunity to study whether the elements embodied in the theoretical models like Diamond and Dybvig hold true for LVB crisis. This study aims to examine the reasons for the demise of LVB in India using DuPont financial model, peer group analysis and time series structural break in crucial financial parameters.

The study examines the reason for insolvency of LVB using financial ratios, financial models (DuPont), financial distress model (Z-score) and asset-liability management. The study also adopts univariate structural break models using quarterly financial data covering the key financial measures used in the RBI’s PCA framework.

LVB crisis is like Diamond–Dybvig model, in the sense, savers requiring short-term access to their money (liquidity for their deposits) on the information of high non-performing assets, which further deteriorates the illiquid nature of loan portfolio (assets) of banks. The study finds its profit margin (net interest margin and non-interest margin) and managerial efficiency had started deteriorating since 2018. The study finds that LVB’s main weakness lies in its limited credit appraisal ability, its monitoring and weak internal controls. Lending to sensitive sectors (like real estate, capital markets and commodities) and exposure to large business groups also contributed to its weakness. The study also finds huge, elevated asset-liability mismatch, especially in the short-term maturity buckets. Using univariate econometric time series model, the study also confirms financial weakness being evident much earlier than the time when resolution was undertaken by the RBI through PCA.

The study has implications for analysing and monitoring financial distress of banks. The study also has implications for devising banking regulation and supervision.

The study brings in a perspective of the banking regulations using the application of PCA framework on a listed private sector bank. The authors combine an accounting ratio model and combine risk measures that could identify the incipient risks in a bank. The authors believe this will help in refinement of banking regulations and better monitoring mechanisms.

Describes the award‐winning Zero Injuries training program at car‐manufacturer Nissan's Sunderland plant in the UK.

Explains the reasons for the program, the way in which it was developed, how it is delivered and the results it has achieved.

Reveals that the number of accidents at the plant has fallen by 60 percent in the four years since the program was introduced.

Highlights how the program has changed the mindset of the workforce and visitors, and has resulted in a major cost saving for the plant.

Explains that the program has helped to bring about improved job satisfaction, morale, safety awareness and communication.

Shows how well‐designed safety training can prove to be cost effective.

The purpose of this paper is to investigate the informativeness of asset turnover (ATO) and profit margin (PM) of the DuPont analysis in explaining dividend policy.

Annual financial data from Compustat for the period 2004-2009 were used to analyze a sample of Malaysian firms.

This study finds both PM and ATO to strongly explain contemporaneous dividends. The decomposition of return on net operating assets (RNOA) into PM and ATO also improves the explanatory power of dividends. The results of the predictive model show that PM and ATO are useful in predicting the propensity of firms to pay dividends. The results of the change dividend model, however, do not provide any significant results for PM and ATO.

Understanding the influence of ATO and PM on dividends could enable managers to realize the importance of these factors when making dividend policy decisions. Other market participants, such as financial analysts and lenders, could also recognize the empirical specifics related to decomposing the profitability measure into its two components, one measuring the asset efficiency and the other measuring the profitability per unit of product, in the context of dividend policy.

This study extends the empirical specifics of prior dividend policy studies by decomposing the popular profitability measure of return on assets into its two components of PM and ATO.

The purpose of this study is to re-examine the relation between changes in profit margin (ΔPM) and changes in return on net operating assets (ΔRNOA) by partitioning on the direction of the change in PM. DuPont analysis provides a means of disaggregating a firm’s return on net operating assets (RNOA) into asset turnover (ATO) and profit margin (PM) components to gain insights into the underlying drivers of operating profitability. Prior research finds that changes in ATO are informative about one-year-ahead changes in RNOA, while changes in PM are not.

Consistent with prior research, regression analysis is used to develop a predictive model for one-year-ahead changes in RNOA. Results based on in-sample parameter estimates are used to examine the out-of-sample forecasting accuracy of alternative model specifications.

The results are consistent with significant forecast improvement resulting from considering the impact on future RNOA of the direction of the ΔPM.

The study contributes to the literature on the determinants of profitability ratios by providing further guidance on how financial statement information can be utilized to improve forecasts of firm performance.

This study aims to compare the financial performance of the tourism distribution sector between Portugal and Spain, regarding the years 2007 and 2017. It is also intended to determine which variables influence the performance of tourism intermediaries' enterprises.

This is a quantitative study based on financial information available on SABI database, with official data of Spanish and Portuguese enterprises. The final sample gathers 6095 intermediaries (1585 Portuguese and 4510 Spanish) which were analyzed regarding their profitability through DuPont model and an additional variable – size.

The return on equity (ROE) calculation in 2007 and 2017 identifies an increase of 12.8% for Portugal and 19.6% for Spain. Through Spearman's Rho, return on sales (ROS), asset turnover and return on asset (ROA) have a positive association with ROE, but the results about asset on equity and enterprise size did not reveal such precise evidence.

This study intends to reinforce the literature in terms of performance evaluation techniques to be used in this type of enterprises, applying DuPont model. At a practical level, besides aiming the maximization of the enterprise's profit, managers are faced with other financial challenges. Thus, this study provides important indications about aspects that should be considered to improve the enterprise's financial performance, supporting managers' decision making.

Financial studies focusing on the tourism distribution sector are limited. Even less frequent are studies with financial and official data from large samples, representative of the universe under study. The value of this study is based on these two aspects, allowing to strengthen the knowledge about tourism intermediaries and their financial performance, in a comparative approach between two countries.

DuPont financial analysis is generally used in micro-economic studies to compare an individual firm’s financial performance with industry averages. The purpose of this paper is to undertake a macro-economic cross-sectional analysis of the determinants of return-on-equity (ROE) in USA, German and Japanese manufacturing firms.

The authors use cross-sectional log-linear multivariate regression analysis to determine the elasticity of ROE to changes in net profit margin (NPM), total assets turnover (TAT) and equity multiplier (EQM) in USA, German and Japanese manufacturing firms. The authors obtain the data for the analysis from the COMPUSTAT Research Insight/Global Vintage database.

With data for all manufacturing firms, the authors find that the most important determinant of ROE is NPM in all three countries. The least important determinant of ROE is TAT in the USA and Germany, and EQM in Japan. Electronics is the most important manufacturing industry in all three countries, the authors also apply the analysis to data for the electronics manufacturing firms in the three countries. The authors find that an increase of 10 percent in NPM increases ROE by about 9.8 percent in Germany, by about 8.3 percent in the USA, and by about 6.9 percent in Japan. An increase of 10 percent in TAT increases ROE by about 2.2 percent in Germany and by about 1.5 percent in Japan. An increase of 10 percent in EQM increases ROE by about 1.9 percent in Germany and by about 1.5 percent in the USA.

The empirical findings of this study can provide useful insights for financial managers regarding the determinants of ROE they should focus on to achieve the greatest impact on ROE.

DuPont analysis is generally used as a micro-economic tool at the firm level. This study is a macro-economic application of the tool to study the cross-sectional determinants of ROE at the industry level.

This chapter investigates the financial performance and technical efficiency of the 26 listed firms in the services sector of the Philippine Stock Exchange over the period 1998–2007, using the DuPont system and the super-efficiency data envelopment analysis (SE-DEA). Empirical findings revealed a negative return on equity for the sector and the presence of outliers in the sample. We also verified a robust significant association between the financial and technical performances of the sector.

The chapter offers new significant contributions to knowledge in terms of the multidimensional performance evaluation and the efficiency of the stock market, especially in developing economies, which has not been a well-researched area. Managerial implications are also identified for the improvement of the firms’ management and the usefulness of the SE-DEA model in performance management.