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The purpose of this study is to propose a comprehensive strategic model to manage profitability. Strategic management accounting concepts and tools are adopted to explore and manage the main profitability drivers (cost, assets, and revenue).

A deductive approach is used to identify the variables of the profitability model. Phase one of this study rely on reviewing prior literature in the field in order to identify the key profitability drivers that uses in managing profitability (costs, assets and revenue).Phase two of the research focuses on testing the perceptions of the managers of Egyptian “Information and communications technology” sector, the relative merits of such a model.

The most important finding in the current study, which has not been investigated in previous studies, is that the proposed comprehensive profitability model which contains cost, the assets and revenue techniques was a better predictor of profitability than the alternative models, which contain a combination of two variables.

As the first study of its kind, this model contributes to the theoretical literature in the field. It is also a practical contribution in managing profitability of the Egyptian “Information and communications technology” sector.

This paper aims to explore the drivers of banking stability in the case of QISMUT+3 countries (Qatar, Indonesia, Saudi Arabia, Malaysia, United Arab Emirates, Turkey, Pakistan, Kuwait and Bahrain) focusing on social and governmental responsibility (SGR) determinants. Both main indicators of banking stability, namely, profitability and nonperforming loans, were treated as dependent variables. The model is examined with the whole sample and separately by examining commercial banks and Islamic banks.

Cross-country bank-level panel data spanning from 2011 to 2018 is used. Two-step system generalized methods of moments alongside both panel-corrected standard error and feasible generalized least squares models were applied to ensure the robustness of the results.

Findings reveal that capital adequacy and corruption control are the most dominant determinants of banking profitability in the studied sample regardless of the type of the bank. In addition, profitability, efficient management, inflation and government effectiveness were found to be the main drivers of financial vulnerability risk.

Findings of this study offer many insights and policy implications to help stakeholders gain a comprehensive understanding of banking stability. Suggested policy implications targeting bank management, governmental policymakers and investors are offered to better the banking stability of QISMUT+3 countries.

This paper has multiple contributions to the existing literature. The determinants of banking stability are examined in QISMUT+3 group of countries which is the focus of a limited number of studies. In addition, the use of a comprehensive variable set alongside the addition of SGR determinants in the case of banking system stability is one of the main contributions of this paper.

The purpose of this study is to identify the impact of human and structural capital on profitability of major airlines and examine whether region, capital ownership and control and strategic alliance play a clustering effect on profitability.

Using information from the top 30 airlines worldwide, in particular human and structural capital proxies, a linear model is regressed. Test of hypotheses were performed towards the identification of the influence emerged from variables, such as region, capital ownership and control and strategic alliances, on intellectual capital drivers and profitability.

Turnover is driven by human and structural capital factors, namely: employee expenses and benefits; size of board of directors; intangible assets; codeshare agreements; and passenger traffic. Airlines profitability does not depend on region, capital ownership and control or strategic alliance in which the company is integrated.

In spite of the limitations, we underline the range of time under analysis and the sample size. However, the current approach can be replicated over time and based in other rankings, structured on different metrics and approaches.

The empirical results provide both an understanding of how independent variables positively affect the performance of airlines and offer some explanation as to the relationship between key characteristics of firms and profitability.

The research adds value to the current literature by exploring the effects of new intellectual capital drivers on profitability of airlines firms. Focused on a sector that strongly contributes to improve the networking between nations, it provides a new and updated overview.

The United States (US) sugar program protects domestic sugar farmers from unrestricted imports of heavily-subsidized global sugar. Sugar-using firms (SUFs) criticize that program for causing US sugar prices to be higher than world sugar prices. This study examines the financial performance of publicly traded SUFs to determine if they are performing at an economic disadvantage in terms of accounting profitability, risk and economic profitability compared to other industries.

Firm-level financial accounting and market data from 2010 to 2019 were utilized to construct financial metrics for publicly traded SUFs, agribusinesses and general US firms. These financial metrics were analyzed to determine how SUFs compare to their agribusiness peer group and general US companies. The comprehensive financial analysis in this study covers: (1) accounting profit rates, (2) drivers of profitability, (3) economic profit rates, (4) trend analysis and (5) peer comparisons. Quantile regression analysis and Wilcoxon–Mann–Whitney statistics are employed for statistical comparisons.

Regarding various profitability and risk measures, SUFs outperform their agribusiness peers and the general benchmark of all US firms in terms of accounting profit rates, risk levels and economic profit rates. Furthermore, compared to other US industries using the 17 French and Fama classifications, SUFs have the highest return on investment and economic profit rate―measured by the Economic Value Added® margin―and the second-lowest opportunity cost of capital, measured by the weighted average cost of capital.

This study finds nothing to suggest that the US sugar program hinders the financial success of SUFs, contrary to recent claims by sugar-using firms. Notably in this analysis is the evaluation of economic profit rates and a series of robustness techniques.

This study seeks to understand the nexus between intellectual capital and profitability of healthcare firms in India with interaction effects.

Relevant data were extracted from the Centre for Monitoring Indian Economy (CMIE)'s Prowess database for a period of ten years 2009–2018 for a sample of 84 selected firms from the healthcare industry. This study uses value added intellectual coefficient (VAIC) and modified value added intellectual coefficient (MVAIC) as a measure of intellectual capital. Further, the study employs panel regression techniques to explore the relationship between intellectual capital and profitability.

The empirical findings reveal that the intellectual capital coefficient of healthcare firms in India averages 2.7757. It is also observed that a majority of the healthcare firms' intellectual capital coefficient is below the industry average. From the regression analysis, it is evident that the intellectual capital coefficient is positively related to the profitability of healthcare firms in India. As far as the components of intellectual capital coefficient are concerned, the capital employed coefficient (CEC) is the only component driving the profitability of healthcare firms in India. A further introduction of interaction terms improves model explainability and moderates the impact of the predictor variable on the response variable. Furthermore, it is observed that the intellectual capital coefficient of the healthcare industry is immune to changes in political regimes in India.

The findings reveal that intellectual capital is an important driver of corporate performance, thus healthcare firms in developing economies like India need to enhance their intellectual potential. Therefore, corporates and governments in developing economies should stimulate investments in developing intellectual capital for enhanced corporate performance and economic growth. Thus, this study might be used as a reference by policymakers while drafting the future policy for the development of intellectual capital in general and healthcare sector specifically.

This is among the first few studies to explore such an empirical relationship for healthcare firms in India and among the few studies of this kind across the globe. It also makes novel contributions in considering interaction variables and seeking the consistency of results across different political regimes. However, the study examines one nation and one industry; thus, the generalisation of findings requires caution.

Community banks continue to offer important financial services including agricultural and small-business lending as well as residential mortgage origination. Because community banks’ share of available source funds may be threatened in rural markets due to competing larger banks seeking less expensive core deposits, this study examines whether large-bank competition, market share of deposits and changing market share impact the profitability of rural, small community banks.

Using a Heckman-type selection model to control for sample selection bias, ordinary least squares (OLS) regression analysis with time and bank fixed effects is conducted to study the drivers of profitability in small, community banks that operate exclusively in rural markets. Profit drivers for rural, small community banks of particular interest in the study are larger-bank competition, market share of deposits and year-to-year change in market share of deposits.

The research indicates that rural, small community bank profitability decreases in concurrent market share of deposits and may increase in changing market share but that the presence of a larger competitor decreases the profitability of small community banks in rural markets as larger banks compete for deposits in these markets. The paper also finds that increased Internet access in rural markets accompanies lower performance for small community banks, indicating that online banking services may threaten rural, small community banks.

This paper offers new findings to the literature on the performance effects of large competitors in rural banking markets. The results suggest implications for managers of rural, small community banks and offer additional knowledge about profit drivers of rural, small community banks of which regulators should be cognizant.

The purpose of this paper is to determine the drivers of economic financial success of US cow-calf operations.

This research uses a system of equations (DuPont analysis) in conjunction with 2008 farm-level data from the US Department of Agriculture's Agricultural Resource Management Survey to evaluate the factors driving cow-calf profitability, namely net profit margins, asset turnover ratio, and asset-to-equity ratio.

The study finds that the main drivers of return on equity are region, number of harvested acres on the farm, diversification of the farm, operator off-farm work, spousal off-farm work, and adoption of technologies. Of these factors, those for which producers can make short-term adjustments include off-farm work decisions and adoption of technologies. Longer-term adjustments can be made for farm diversification.

To the authors’ knowledge, no existing research has used farm-level data across US production regions to examine the factors affecting returns to equity of US cow-calf operations. These research results may be used to identify strategies producers can use to improve their farm's economic viability, areas where extension services can assist farmers in making better financial decisions and economic factors that are likely to lead to structural changes in the beef industry.

This study aims to extend the discussion on firm profitability to include handloom enterprises in India.

This study uses a random sample of 427 handloom microentrepreneurs from the Indian state of Assam. The seemingly unrelated regression model is used to determine the profitability drivers in India’s handloom enterprises.

The empirical results revealed that human, financial and social capital, along with their control variables such as information and communication technology, firm size and sales distribution, are the main drivers of profitability of Indian handloom enterprises.

To the best of the authors’ knowledge, this study is the first to offer an in-depth insight into what makes profitability in the handloom enterprises in India, the world’s second-largest reservoir of the handloom industry.

This paper reports some empirical findings which appear to challenge the received wisdom prevailing in the operations management, service management, TQM and HRM literatures, namely, that employee satisfaction and loyalty are key drivers of productivity, efficiency and profit. An empirical study of one of the UK’s four large supermarket chains reveals an inverse correlation between employee satisfaction and the measures of productivity, efficiency and profitability, the most profitable stores being those in which employees are least satisfied. Employee loyalty, measured in terms of length of service, also appears to be inversely correlated with productivity and profitability. It also emerges that the pressure to maximise store efficiency may be leading to dysfunctional managerial behaviour at store level. These preliminary findings suggest two imperatives for managers and academics. For managers, it is advocated that they analyse the relationship between employee satisfaction, loyalty and financial performance in their own organisations rather than assuming that the rhetoric of the management literature applies in all operational contexts. For academics, four contingent variables are proposed which distinguish those service contexts in which the assumed relationship may pertain: services where customer contact with staff is high; services where there is little opportunity for technological substitution; services where staff contact is critical to the customer value proposition; and services with high labour costs.

The study aims to find if family-owned construction and real estate firms in India are more profitable compared to non-family-owned construction and real estate firms. The study also examines if family ownership and institutional ownership are drivers of the firm profitability.

The study uses data of 199 construction and real estate firms listed on the National Stock Exchange (NSE), India. The data pertains to a period of 13 years (2006-2018). The family firm is defined on the basis on ownership criteria, and the sample is divided into two groups, namely, family firms and non-family firms. The data is analyzed using a two-sample t-test assuming unequal variance and Prais–Winsten panel regression using correlated panels with corrected standard errors (PCSEs) procedure.

The findings suggest that family-owned construction and real estate firms are slightly more profitable compared to non-family-owned construction and real estate firms; however, family firms command lesser valuation in the market. The reason for this lower valuation is the mismatch between family holding and institutional holding. A family firm’s profitability is primarily driven by institutional holding that acts as mitigation against the agency conflict.

The paper is the first attempt to analyze the profitability of construction and real estate family firms, and compare it with non-family-owned construction and real estate firms.