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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.

In recent years, the public sector has faced the challenge of digitalisation. This has significantly impacted the relationships between citizens and public organisations and, thus, it widely affects participatory processes, such as participatory budgeting (PB); in fact, digital tools (DTs) have emerged as a solution, increasing citizen engagement whilst improving efficiency, reducing costs and saving time. This contribution analyses PB in Rome, which is also implemented with DTs, seeking to understand how DTs impact citizens’ role in creating public value.

The study is based on a qualitative approach, precisely by analysing a descriptive and exploratory single case study of PB’s first adoption in Rome in 2019. The information is obtained from multiple sources and examined through document analysis.

In the Roman context, DTs in PB primarily facilitated cost-effective information sharing, offering citizens basic participation. Unfortunately, the potential for more interactive DTs was overlooked, failing to enhance citizen engagement in critical phases like deliberation, evaluation or monitoring. Therefore, the tools did not fully support citizens becoming co-creators of public value instead of just users in governance.

The novelty of this study lies in exploring the difference between the use of DTs that assist citizens/users in improving service quality and those that support citizens in creating a public and shared value. It ventures further to assess various tiers of participation, meditating on the digital elements that stimulate active engagement and value creation instead of simply expanding the participant pool or process efficiency.

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.

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.

This study aims to investigate accounting practices within a non-Western (indigenous) context and provide insights into alternative accounting approaches and perspectives.

This study adopts an interpretive research approach to gain an in-depth insight into the functioning of accounting in Solomon Islands’ unique cultural and social-political context. In-depth interviews were conducted to gain insights into the perceptions and meanings held by participants concerning Western accounting practices and their limitations.

The findings provide unique insights into different interpretations of accounting and accountability through two distinct cultural lenses – Western and non-Western. The complimentary and rival explanations on what accounting and accountability are doing and what accounting and accountability should be doing will help close the gap in knowledge and contribute to shaping a better world for indigenous people.

Implications for practice involve fostering collaborative efforts among individuals, communities, leaders and institutions to harness cultural strengths through accounting. Additionally, continuous capacity building and education are essential to develop accounting skills, enhance financial literacy, promote professional expertise and build a pool of skilled accountants with local knowledge to support indigenous communities.

This study is original and provides novel insights supporting the need for accounting to recognise the importance of indigenous perspectives, adapt to cultural sensitivity and integrate cultural norms and values into accounting practices to make an impact and achieve greater social and moral accountability.

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.

This paper aims to develop a novel approach to Islamic deposit insurance, specifically addressing the deficiencies in the current prevailing models of Islamic deposit insurance.

The analysis in this paper adopts a qualitative content analysis approach to review the existing literature on Islamic deposit insurance and propose a new model.

The proposed model includes a revised scheme. In the event of a bank failure, the funds used to reimburse depositors of the failed bank are divided into two distinct categories. The first category includes nonrepayable premiums that have been previously paid by the failed bank and managed by the Islamic deposit insurance agency or Islamic deposit insurance corporation. The second category comprises qard hasan, an interest-free loan provided by the Islamic deposit insurance agency or Islamic deposit insurance corporation using the deposit insurance funds from the collective pool of premiums of other banks.

The proposed model ensures that well-managed banks are not unfairly burdened by the failures of their poorly managed counterparts, thus preventing a sense of unfairness and inefficiency. Implementing the proposed model may result in higher business practices and risk management standards, ultimately leading to better depositors’ protection and banking system’s stability.

This paper offers a significant contribution to the limited literature on Islamic deposit insurance. The proposed model enriches the discourse and offers valuable insights for the future development of Islamic banking.

It is documented that companies and government agencies in the USA invest more in the fourth fiscal quarter without having higher investment opportunities. While previous studies focus on the agency conflicts and information asymmetry within organizations, this study is motivated by Scharfstein and Stein's (2000) two-tiered agency model and aims to examine how firms' external business environment affects the “fourth quarter effect.”

The authors implement this study in a sample of 41 countries and observe similar seasonality in firm investment as documented in the US market.

More importantly, using country characteristics, this study finds that firms from countries with better investor rights and protection, and more developed financial markets show less severe over-investment in the fourth fiscal quarter.

This paper contributes to the literature of law and finance, and the internal capital market, by investigating the quarterly investment patterns of firms from 41 countries. The authors find that similar to the results in earlier studies on the US market, firms in the global market increase their capital expenditure in the fourth fiscal quarter, indicating that the internal agency conflicts between the headquarters and divisional managers are widespread across the world. The authors also find that firms that operate in countries with higher investor rights and protection, and more developed financial markets, tend to show less severe “fourth quarter effect”.