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This study aims to provide archival evidence on the impact of board characteristics on corporate social responsibility (CSR) monetary performance and how they interact with the COVID-19 pandemic in the context of CSR monetary performance.

This study analyzes listed companies in Oman’s capital market from 2016 to 2021, using pooled ordinary least squares and unique CSR performance measures such as budgeting and spending.

The study finds that companies with more expertise and frequent meetings are more likely to allocate a larger budget for CSR activities. However, this does not apply to larger boards or to independent directors. During the COVID-19 pandemic, the effect of independent directors on CSR budgeting and spending is more pronounced, and boards with more expertise and meetings show a negative interaction with the pandemic. The interaction of board characteristics with COVID-19 in terms of CSR monetary performance varies depending on company size. Board independence and expertise show a significant reaction to COVID-19 infection and death cases when setting CSR budgeting and spending.

The findings of this study are stimulating, but stem from an emerging country with unique cultural and institutional characteristics. Methodological issues were also encountered during the analysis, so readers should exercise caution when applying the results to other settings.

This study highlights board involvement in deciding a company’s CSR investment, as it was believed that chief executive officers are considered responsible for CSR activities. Additionally, this research underscores the significance of incorporating the financial aspects of CSR into reporting.

This study examines the seldom explored relationship between corporate boards and CSR monetary aspects during regular and irregular times, offering theoretical and practical insights that benefit multiple stakeholders.

This study examines specific budget execution items (as proxies of vulnerability and sustainability) along with political factors to identify earnings management (EM) practices in Greek municipalities.

The study employs a sample of 1,831 financial and budget execution statements for the period 2011–2019. EM is proxied by unsigned discretionary accruals that are assessed through the performance-matched modified-Jones model and the modified-Jones model.

The findings provide evidence that the municipality’s dependence on subsidies (or its self-sufficiency) affects EM, especially during the pre-election year. Municipalities that maintain their financial autonomy engage less in EM in pre-election years. Lastly, it is proven that electoral cycles, weak opposition and other variables exert an effect on the size of EM. Sensitivity analysis confirms the results.

This paper contributes to the literature on EM by analyzing for the first time budget execution items (as proxies of vulnerability and sustainability) and their impact on the size of unsigned discretionary accruals.

The aggressive competition in the real estate market forces real estate developers to tackle the challenge of selecting the best project construction phasing alternative. The real estate industry is characterized by high costs, high profit and high risks. The schedules of real estate projects are also characterized by having large number of repetitive activities that are executed over a long duration. The repetitiveness, long duration of execution, the high amounts of money involved and the high risk made it desirable to leverage the impact of changes in phasing plans on net present value of amounts incurred and received over the long execution and selling duration. This also changes the project progress, and delivery time as well as their respective impact on customer degree of satisfaction. This research addresses the problem of selecting the best phasing alternative for real estate development projects while maximizing customer satisfaction and project profit.

The research proposes a model that generates all construction phasing alternatives and performs decision-making to rank all possible phasing alternatives. The proposed model consists of five modules: (1) Phasing Sequencing module, (2) Customer Satisfaction module, (3) Cash-In calculation module, (4) Cost Estimation module and (5) Decision-making module. A case study was presented to demonstrate the practicality of the model.

The proposed model satisfies the real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model generates all construction phasing alternatives and performs multi-criteria decision making to rank all possible phasing alternatives. It quantifies the score of the two previously mentioned criteria and ranks all solutions according to their overall score.

The research proposes a model that assist real estate market's need for proper construction phasing plans evaluation and selection against the project's main success criteria, customer satisfaction and project profit. The proposed model can be used to conclude general guidelines and common successful practices to be used by real estate developers when deciding the construction phasing plan. In this study the model is based on business models where all the project units are sold, rental cases are not considered. Also, the budget limitations that might exist when phasing is not considered in the model computations.

The model can be used as a complete platform that can hold all real estate project data, process revenues and cost information for estimating profit, plotting cash flow profiles, quantifying the degree of customer satisfaction attributable to each phasing alternative and providing recommendation showing the best one. The model can be used to conclude general guidelines and common successful practices to be used by real estate developers when tackling the challenge of selecting construction phasing plans.

Succession planning is an emerging area for research in higher education institutions worldwide; however, literature is scarce in the context of developing countries like Malaysia. The factors that have an influence on the execution of succession planning in public universities are the primary goal that has been set for achieving the study's goal. Moreover, the development of leadership in institutions has been taken by adopting formal succession planning. This study aims to be explore the factors that can contribute to the successful execution of the plan, particularly in higher education institutions in Malaysia.

The study employed the qualitative approach. The registrars have been selected by using purposive sampling technique for face-to-face interviews from five public research universities of Malaysia. The in-depth data can be collected at research universities as they are old and comprehensive universities of Malaysia. The data were analysed through thematic analysis.

The number of factors that have been revealed through the findings are as follows: organisational culture, the support of top-level management, the strategic plan, the reward, the champion from top-level management and the budget. Further, the public universities of Malaysia required ensuring that all employees were aware of succession plan initiatives taken by institutions, although the system was challenged by not taking these factors into account.

The primary data have been collected to provide the insight regarding opportunities and challenges encountered in the implementation of succession planning in Malaysian public universities.

In terms of the use of sports places and spaces, per capita is a determining parameter for the status and perspective of the future. Although there are many uses for the per capita indicator in sports places, there are no consistent scientific and methodological methods for calculating it. Therefore, this study aims to provide an analytical model to determine the per capita index of sports places and spaces.

One of the matters that can be considered as the basic information required to develop and construct sports facilities is determination of per capita, which can be used as the most vital information to plan and develop this type of urban utilities. In the history of contemporary urbanization, the use of the per capita concept is one of Reinhard Laumeister’s innovations, a founder of modern urban engineering in Germany, hence, the use of per capita was triggered in 1876, almost 133 years ago.

The underlying information of the research in two spatial and descriptive sections was analyzed in the geographic information systems (GIS) software. After the division and network distribution of the boundary by the Thiessen Networks analytic function in the Arc GIS, per capita of each polygon was separately calculated using the presented formula and the population of the related blocks

Finally, with the qualitative per capita achieved in the previous stage, the study area was classified based on the need for the development of indoor pools to three, privileged, semi-privileged and deprived spectrums.

The aim of this paper is to investigate whether Mayors in Portugal engage in earnings management close to zero with the motivation of re-election.

The data used in this study were annual financial information from Portuguese municipalities from 2005 to 2016, as well as data on elections and Mayor re-elections involving three political cycles. The methodologies employed were quantitative, including graphical and panel data regressions.

The results indicate that municipalities used discretionary accruals to engage in earnings management to report net earnings close to zero, and re-election seems to be a motivation for earnings management behaviour. Furthermore, the results suggest that municipalities in which the Mayor is re-elected are less likely to report positive net earnings close to zero.

This paper makes a valuable contribution to the literature on earnings management in municipalities. At the theoretical level, it makes it possible to identify whether re-election is a motivation for earnings management and, in this sense, to identify patterns of behaviour by managers. On a practical level, the knowledge of a manager's behaviour patterns will help to anticipate his or her future behaviour and, consequently, may prevent inefficiencies.

Motivated by the growing interest of governance regulators and researchers on internal audit function (IAF), this study examines the influence of family ownership on the levels of investment in IAF.

A sample of Malaysian listed companies for the period 2009 to 2016 is used. To test our hypothesis, the authors use pooled panel data regression based on two-way cluster-robust standard errors (firm and year).

The findings show that family ownership is negatively related to investment in IAF; in particular, investment in IAF is lower for family companies than non-family companies.

This study contributes to existing knowledge of IAF, and it provides significant insights for regulators and managers into the variation in governance structures between family and non-family companies, particularly in emerging markets in which substantial family ownership is common.

Developing a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.

Due to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).

This research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.

The current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.

This research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.

Construction organisations cannot underestimate the improvement in public–private partnership (PPP) projects’ implementation. At the same time, construction organisations cannot overlook the risk arising from engaging in PPP construction projects. Hence, this study aims to establish the influence of risk resource management (RRM) in managing PPP risk in the construction industry in Ghana.

The researchers adopted qualitative and quantitative research methods to achieve the aim of the study, in which Delphi questions and a close-ended questionnaire were developed. A total of 650 construction specialists, including procurement officers, consultants, project managers, quantity surveyors, site engineers and planning officers were chosen using random and purposive sampling techniques. Recovered data were analysed using descriptive statistics and confirmatory factor analysis (CFA). The CFA maximum likelihood estimation extractor compresses 19 variables into 3 pattern matrices.

The results of the study revealed three factors that measure RRM in Ghana’s PPP construction industry, including financial resource management which was influenced by communicating the budget to project team members and project partners understanding the budget, and material resource management which was influenced by the provision of materials transportation and provision of delivery programs and labour resource management which was impacted by a commitment to pay social security and taxes and provision of good salaries, to address RRM in PPP construction organisations.

To incessantly improve the PPP risk management (RM) in construction through RRM, there should be a strong liaison between the universities, government agencies and the construction industry, and such collaboration will assist the industry to obtain first-hand information regarding the study findings and how they can be implemented to help the development of RM in the construction industry. This study is limited to Ghana and CFA and further study should explore structural equation model to determine the structure and measurement model of the risk resource variables.

The study may be valuable to industry stakeholders looking for new approaches to improve RM in their construction activities, particularly in PPP projects. Also, to assist reduce PPP risk, construction companies should use RRM in their organisations.

Using imbalanced panel data of nonfinancial Vietnamese listed firms from 2005 to 2021, this paper explores the potential effect of ownership on firms' cash levels.

Two hypotheses are tested using different methods, including pooled ordinary least squares (POLS) and system-generalized method of moments (GMM), to investigate the ownership–cash holding relationship for various firm scenarios. Both book and market measures of the cash ratio are examined.

Results show that foreign and state ownership encourages firms to increase their cash reserves. The positive relationship between ownership and cash holding is, especially, pronounced for firms in the financial deficit.

This research suggests that in this emerging market, outside ownership substantially accelerates cash to hedge against the unexpected issues caused by poor investor protection, low political accountability and information asymmetry.

The study contributes to the existing understanding of the relationship between ownership and corporate cash holdings in the context of a typical emerging market. Besides, it expands the existing knowledge to the extent of such relations in the event of a financial shortage.