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This paper aims to investigate the moderating effect of sustainability reporting on the relationship between the independent variables of board diversity, and earnings management and the dependent variable of readability of financial statements.

The study panel data regression analysis involved 36 Kenyan-listed companies from 2016 to 2020.

Key findings were that increased board diversity was found to significantly improve the readability of financial statements. Discretionary earnings management was found to significantly reduce the readability of financial statements. Sustainability reporting was found to significantly increase the readability of financial statements, and it moderated the relationship between board diversity, earnings management and financial statements readability in Kenya.

The study sample of 36 non-financial listed in the Nairobi Securities Exchange was very small and was affected by the problem of thin trading; hence, caution should be adopted when interpreting the findings.

The Capital Markets Authorities (CMA) as a policymaker should enforce sustainability reporting by Kenyan listed firms as there is evidence that the reporting enhances the readability of financial statements. The Institute of Certified Public Accountants as a policymaker should closely monitor the published financial statements of firms for earnings management and punish the perpetrators, as there is empirical evidence that the practice reduces the readability of financial statements.

Sustainability reporting is successful as a moderating variable between readability of financial statements and determinants of readability of financial statements.

This study contributes to knowledge by studying sustainability reporting as a moderating variable between the independent variables of board diversity and earnings management and the dependent variable of readability of financial statements and measured sustainability reporting using a dummy variable for the period before and after the enactment and release of CMA code of 2016 on corporate governance that required sustainability reporting by Kenyan listed companies.

This study aims to investigate the impact of seaport efficiency on economic growth in Ghana over the period 2006–2020.

Comprehensive methodology, diverse data analysis techniques, including Augmented Dickey–Fuller tests, autoregressive distributed lag (ARDL) modeling and Granger Causality, were applied to explore the intricate relationship between Seaport Efficiency and Economic Growth.

The findings reveal a statistically significant and positive association between seaport efficiency and GDP, underscoring the crucial role of efficient seaport operations in actively stimulating economic growth. Beyond seaport efficiency, influential factors such as capital, human capital, knowledge spillover and productive capacities were identified, contributing to the dynamics of economic growth.

The Granger Causality Test solidifies seaport efficiency as a robust predictor of GDP fluctuations, emphasizing its significance in economic forecasting. Notably, this study contributes to the existing body of knowledge with its nuanced exploration of the intricate relationship between seaport efficiency and economic growth in the specific context of Ghana.

This study’s implications extend beyond academia, offering invaluable guidance for policymakers and planners. It serves as a comprehensive roadmap for informed decision-making, emphasizing the pivotal role of efficient seaports in charting a trajectory for enduring and resilient economic progress in the nation.

While the broader theme has been explored in existing literature, the uniqueness of this study lies in its specific application to the Ghanaian context. The choice of Ghana, a nation where maritime transport handles over 90% of trade, underscores the significance of understanding seaport efficiency in this regional and economic setting. The study’s originality is reinforced by incorporating diverse economic variables, aligning with recommendations for a comprehensive analysis of factors influencing port performance.

Existing research has examined the results of women’s political leadership participation (WPLP) and the reasons for the lack of advancement of women to management positions. However, little research has been adopting a more comprehensive framework and configuration perspective to investigate the determinants of WPLP. By integrating institutional theory and institutional complementarities theory, this study aims to construct an institution–culture–structure framework to investigate the multiple driving mechanisms of WPLP.

Drawing on the fuzzy set qualitative comparative analysis method and a sample of 66 countries, the authors identify multiple equifinal combinations of conditions related to high and not-high levels of WPLP.

According to the results, the authors summarize five pathways influencing WPLP. These pathways include education and culture-driven pattern, political institutions-driven pattern, political institutions and structure-driven pattern, integrated-driven pattern and political institutions and culture restrictive pattern.

The authors shed new light on the driving mechanism of WPLP and contribute to research on making full out of women’s leadership.

This study aims to establish marketing practices which predict business performance of architecture firms within the Nigerian Construction Industry (NCI) to address the sustained poor business performance of firms, which affects allied professionals as many projects in the built environment depend on design proposals from architects.

Survey responses from 86 firms were used to model business performance measured as total revenue of the firms from 40 commonly deployed marketing practices in construction.

Two-thirds of the marketing practices most used by architectural firms were ineffective in predicting business performance. The model also explains up to half the variance in business performance (37.4–49.9%), supporting the view that marketing in the CI affects business performance. Researching client needs and competitors emerged as the only significant positive predictor of business performance (β = 0.827, p = 0.043). Using social media (β = −1.247, p = 0.004), regular participation in awards/competitions (β = −1.420, p = 0.013) and inclusion of political offers in bids (β = −1.050, p = 0.016) negatively predicted business performance.

Architecture and allied professional bodies in Nigeria need to rethink existing restrictions regarding marketing based on traditional code of ethics in light of present-day realities of digital and internet business environments. Principals and management of architecture firms require a paradigm shift in deploying the appropriate marketing practices, especially as it relates to research regarding changing client expectations and current competition within the NCI.

The study established marketing practices which model business performance and demonstrate their value in a framework for improving the financial sustainability of architecture firms within the NCI.

This study aims to re-examine the corruption and sustainable development nexus in Africa and offer a contemporary analytical review and analysis of that relationship in the region.

Drawing on the available and accessible relevant data from credible sources, this work quantifies, outlines and analyses the nexus between corruption and sustainable development, as it applies primarily to sub-Saharan Africa. It uses the relevant disaggregated data and also complements that with the results of reliable empirical studies to further cross-reference and demonstrate the corruption and sustainable development nexus.

It is shown that corruption in Africa continues to be negatively associated with sustainable development objectives and that, in turn, will continue to affect the continent’s progress in achieving sustainable development. Undoubtedly, corruption is very damaging to economies across all nations and regions. However, in Africa, this impact on sustainable development has been particularly severe and ongoing. Consequently, the views expressed several decades ago of corruption being able to grease the wheels and potentially contribute to economic development is not valid and, in fact, has been severally discredited over the years.

The main value of the paper is the insights it provides, and with cross-reference to the empirical literature and time series data, on the corruption and sustainable development nexus in Africa.

Combustion of fuel with oxidizer inside a combustion chamber of an internal combustion engine forms inevitable oxides of nitrogen (NOx) due to high temperature at different locations of the combustion chamber. This study aims to quantify NOx formed inside the combustion chamber using two fuels, a conventional diesel (n-heptane) and a biodiesel (methyl oleate).

This research uses a computational fluid dynamics simulation of chemically reacting fluid flow to quantify and compare oxides of nitrogen (NOx) in a compression ignition (CI) engine. The study expends species transport model of ANSYS FLUENT. The simulation model has provided the temperature profile inside the combustion chamber, which is subsequently used to calculate NOx using the NOx model. The simulation uses a single component hydrocarbon and oxygenated hydrocarbon to represent fuels; for instance, it uses n-heptane (C₇H₁₆) for diesel and methyl-oleate (C₁₉H₃₆O₂) for biodiesel. A stoichiometric air–fuel mixture is used for both fuels. The simulation runs a single cylinder CI engine of 650 cm³ swept volume with inlet and exhaust valves closed.

The pattern for variation of velocity, an important flow parameter, which affects combustion and subsequently oxides of nitrogen (NOx) formation at different piston locations, is similar for the two fuels. The variations of in-cylinder temperature and NOx formation with crank angles have similar patterns for the fuels, diesel and biodiesel. However, the numerical values of in-cylinder temperature and mass fraction of NOx are different. The volume averaged static peak temperatures are 1,013 K in case of diesel and 1,121 K in case of biodiesel, while the mass averaged mass fractions of NOx are 15 ppm for diesel and 141 ppm for biodiesel. The temperature rise after combustion is more in case of biodiesel, which augments the oxides of nitrogen formation. A new parameter, relative mass fraction of NOx, yields 28% lower value for biodiesel than for diesel.

This work uses a new concept of simulating simple chemical reacting system model to quantify oxides of NOx using single component fuels. Simplification has captured required fluid flow data to analyse NOx emission from CI engine while reducing computational time and expensive experimental tests.