Profitability Of Project Research Articles

Developing an efficient planning process for heritage buildings maintenance in Iraq

Abstract Heritage buildings and sites are significant assets for any country, they hold values of the past to the new generation. This research focuses on the problem of deterioration and demolition of heritage buildings due to negligence or aspiration for more profitable projects, which will lead to the loss of valuable heritage buildings. Assuming that this problem can be solved initially from the planning stage, this research aims to enhance the planning process for heritage buildings by specifying the main factors that affect the planning process for the maintenance work and developing a framework of sequential steps for planning process activities to help in creating an efficient plan. The research evaluates the current situation of heritage building conservation in Baghdad, Iraq as a case study, by classifying the relevant categories into maintenance and non-maintenance categories, which describe the reasons that led to the deterioration of numerous local heritage buildings. The results found in this research specify the main factors that lead to an efficient plan that are budget, methods and techniques, level of skills of the workers, schedule, and required materials. A framework for a successive conservation plan is suggested to be adapted, including a series of sequenced processes to get a sound plan. Finally, some recommendations are suggested to develop planning for heritage building conservation, like reevaluating the legislations and laws to enhance the heritage sector, serious work to make the heritage sites take place in the community activities, paying maximum care to the heritage sector by the governmental authorities, and using modern tools in planning in addition to other recommendations.

Combinatorial machine learning approaches for high-rise building cost prediction and their interpretability analysis

ABSTRACT This study focuses on addressing housing gaps in populous southern countries by emphasizing the importance of accurate early cost estimation in construction projects. It compares individual cost prediction models (Decision Tree, BP Neural Network, and Support Vector Machine) with combined prediction models (BP-DT and BP-SVM) for high-rise building cost prediction. The study employs interpretative analysis methods such as the Shapley additive explanation method, partial dependence plots, and individual conditional expectation plots to explore feature interplay and improve model transparency. Results show that the BP-SVM combination algorithm significantly reduces Mean Absolute Error (MAE) compared to other models. Key factors influencing cost estimation include “Estimated project duration” and “Ground floor area”, while others like “Below-ground floors” have minimal impact. The study highlights the interaction of various feature groups on prediction outcomes. Through feature interaction analysis, it is found that the Estimated project duration and Building architecture can have some negative correlation interaction. Estimated project duration and Interior decoration may have to cancel effects Overall, it contributes to construction management by aiding investors in better-assessing project profitability, thereby enhancing investment decision efficiency and quality.

Practical possibilistic fuzzy pay-off method for real option valuation

This paper describes a set of proposed additions to the recently introduced possibilistic fuzzy pay-off method for real option valuation that enhances the practical usability of the method. The additions are focused on the practical usability of the method and concentrate on emphasizing the consideration of the downside-risk found in projects. Technically the additions are based on using a novel interpretation of the possibilistic mean as a proxy respectively for the weight of the downside and the upside of a possibility distribution in the context of project profitability. This interpretation of the possibilistic mean is a new theoretical contribution.The proposed new method-variant, called the “practical possibilistic fuzzy pay-off method for real option valuation”, can effectively distinguish between projects with an identical upside and non-identical downsides and allows for a more finance-theoretically comprehensive consideration of situations, where the circumstances surrounding the downside risk of a project change. Changes in the downside are reflected in the real option value. The proposed changes constitute the first variant of the possibilistic fuzzy pay-off method for real option valuation and they remarkably increase the practical usability of the method.

Fuzzy logic in the problems of determining the economic parameters of project implementation

The goal of this work is to forecast project execution terms and its main economic parameters using graph theory and fuzzy logic methods. The subject of research in the article is the method of calculating the main properties or parameters of the project, forecasting the terms of its implementation and the possibility of taking into account force majeure situations. The article discusses the task of finding the optimal plan for the project of creating an e-commerce site and calculating its main economic parameters. The work uses methods of the theory of network planning and management. Fuzzy logic methods are used to solve the fuzzy optimization problem. Graph theory methods, namely the CPM critical path method, are used to forecast project deadlines. The following results were obtained: the main economic parameters were calculated for two versions of the project to create an e-commerce site – sequential, when the team does not have many developers to implement it (or enough resources), and parallel execution of work, which allows you to optimize the execution time by involving additional workers. The cost of both projects was also calculated, which in the future can help managers draw conclusions regarding the implementation of one or another planning option for this type of project. For the first project, the project work plan will be completed in a time not exceeding 230 days, with a reliability of 30%. Or does not exceed 295 days with a reliability of 80% percent. For the second project, the project work plan will be completed in a time not exceeding 230 days, with a reliability of 30%. Or does not exceed 278 days with a reliability of 70% percent. Conclusions: the paper proposes a fuzzy mathematical model for finding the optimal plan and calculating the main economic parameters of the project of creating an e-commerce site with a fuzzy set of plans and a vaguely defined goal. The work also presents a method for solving this problem. The obtained results of the research are of great value for planning the project, for solving the question of the feasibility of its initiation, for forecasting the resources that will be needed for its implementation. These indicators are essential for improving processes and correct allocation of work, which can help strengthen competitiveness and increase project profits.

Incentive policies in biomethane production toward circular economy

The transportation sector is marked by high emissions, and new sustainable solutions are required to solve this problem. Biomethane, also known as green gas, has the potential to regenerate certain wastes, promoting resource circularity. This study aimed at evaluating the profitability of small- and medium-sized plants using the organic fraction of municipal solid waste (OFMSW) and by-products, considering a new incentive decree within the mature biogas-biomethane market of Italy. Net present value (NPV) was used as a key indicator, and sensitivity, scenario, and risk analyses were proposed. The results showed that a high subsidy for by-products contributed to the profitability of by-products plants across multiple contexts. Conversely, stringent incentive values for the OFMSW led to diminished profitability for plants treating this substrate. Consequently, profitability was verified for 100 m3/h plants with by-products and 300 m3/h plants with the OFMSW. The break-even point analysis showed that the tariff value determining project profitability, contingent on size and substrate, ranged from 0.61 to 0.95 €/m3 for the OFMSW and 0.76–1.01 €/m3 for by-products. The results provide valuable policy and managerial insights, emphasizing the support needed for biomethane – a renewable and circular resource – to achieve the twin goals of energy independence and a low-carbon economy. Consequently, biomethane has the potential to contribute to the achievement of Sustainable Development Goals 7 and 12.

О влиянии неопределенностей на прогнозы ветрового ресурса и выработки электроэнергии

The annual power generation of a wind farm is one of the most important indicators determining the profitability of a wind power project. The methods used to estimate the annual power generation of a wind farm have to consider uncertainties at all stages of the project life cycle. When developing a financial model of a wind power project, it is required to consider information about uncertainties to reduce the error and increase the reliability of the project. Specialists of various countries are improving the efficiency of wind power plants, studying wind energy resources, as well as assessing the efficiency of their use. However, special studies do not pay due attention to the problem of assessing the impact of various uncertainties on the forecasts of wind resource and power generation. Two methods are proposed to calculate uncertainties. They are a deterministic method based on the assumption of independence of various uncertainties, and a Monte Carlo method that simulates the behavior of a physical system many times. The paper considers the uncertainties to be considered during the design of a wind farm and presents the variation ranges. The authors have presented the plots of power generation with various levels of probability of being reached or exceeded the total uncertainty for three variants. It is shown that considering the various uncertainties allows a power generation forecast to be made with increased accuracy. The results obtained are necessary to develop a wind measurement data processing model that allows us to forecast electricity generation by existing wind power plants with increased accuracy.

Stakeholder management within PPP-arranged civil engineering megaprojects: a systematic literature review of challenges, critical success factors and stakeholder roles

PurposePublic-private partnerships (PPPs) have become integral in delivering public services and infrastructure, particularly in the context of megaprojects. This paper focuses on the interplay between stakeholder management, challenges, critical success factors (CSFs), and the overall success of PPP-arranged civil infrastructure megaprojects.Design/methodology/approachUsing the PRISMA methodology, we comprehensively analyze challenges and critical success factors (CSFs) influencing stakeholder engagement within PPP megaprojects. A focused search equation identified 595 papers, which were distilled down to 34 relevant papers and case studies. Qualitative analysis of these papers revealed 48 CSFs categorized into 11 challenges from a stakeholder management perspective, which were further delineated across public, private, and combined sectors, and then mapped along the PPP megaproject lifecycle.FindingsInformed by a diverse amalgam of civil and project management literature, this research reveals the intricate dynamics of PPP megaprojects across the globe that emphasize the critical nature of stakeholder engagement, analysis, and management practices. Key findings highlighted conflicting interests between public and private stakeholders, manifesting in challenges like project performance versus profitability. The literature emphasized instances where neglect of local community culture led to adverse social outcomes. A universal conclusion underscored the context-specific nature of challenges and CSFs, stressing the need for a holistic understanding of stakeholders and project dynamics.Research limitations/implicationsThe paper acknowledges that it focused on 34 selected papers out of 595 identified. This sample focuses on civil engineering megaprojects which may not fully represent the breadth of research in the field, potentially missing out on valuable insights from excluded studies.Practical implicationsWe believe that the compiled list of CSFs, organized according to stakeholder relationships and the project lifecycle, serves as a potent tool for managers and planners. By enabling the identification of complexity from diverse perspectives, this research allows elucidating the challenges faced by the management team in PPP megaproject.Social implicationsThis research identifies several social outcomes related to PPP megaprojects. Critical Success Factors identified as such should allow the project managers to maximize benefits for society and minimize risk and negative externalities.Originality/valueThis study contributes valuable insights for policies and practices by systematically describing challenges and related CSFs throughout the PPP megaproject lifecycle. Additionally, it addresses the nuanced aspects of internal and external stakeholder management, thereby contributing to the overall understanding and best practices required to confront complex megaprojects involving a wide range of stakeholder groups.

Optimization of transition from open-pit to underground mining considering environmental costs

The problem of optimizing the transition from open-pit to underground mining remains a challenge within the field of mining engineering, with far-reaching implications for sustainable development. Several researchers have tackled this transition problem, primarily focusing on maximizing project profitability while grappling with the complexities associated with solving it for real large-scale ore deposits. This study presents a mixed integer programming model that accounts for costs associated with preventing, mitigating, or compensating for adverse environmental impacts on net present value (NPV). Then, a Python-based code was developed using the Divide and Conquer algorithm, with the goal of reducing various operational modes and boosting solver speed to overcome the limitations encountered in the existing literature, particularly when dealing with large-scale deposits. The developed solution aims to transform a block model with varying dimensions into a selective mining unit with uniform dimensions, align the pushback's size and location with the mine's depth, length, and width, convert the matrix into a functional format, and clear previous calculations and results upon achieving the maximum NPV in the new phase. The study also evaluated the environmental impact on the transition problem using this methodology, applying it to the Sungun large-scale copper deposit. The results favor a sequential combined mining approach, yielding an NPV of 7.51 billion USD at a transition depth of 887.5 m with environmental costs included, and 7.61 billion USD at a depth of 950 m without environmental cost considerations.

Impact of Project Management Practices on Cost and Time Overruns in Construction Projects in Nigeria

A major contributor to economic growth in Nigeria, the construction sector is frequently beset by large cost and schedule overruns that jeopardize project profitability and impede the development of infrastructure. This study looks into how project management techniques affect these overruns in building construction projects in Nigeria. The goal of the study is to pinpoint the major project management variables that lead to overspending and delays while also offering recommendations for best practices to address these problems. A mixed-methods strategy was used, integrating qualitative case studies with quantitative data analysis. Project engineers, contractors, Architects, and Technicians were given standardized questionnaires to complete about a variety of Nigerian building projects. In-depth interviews and focus groups were also held to acquire a deeper understanding of the real-world difficulties and experiences encountered in the field. The study pinpoints several crucial project management techniques that affect time and cost performance. The results show that Inadequate construction site management and supervision ranked 1st with an RII of 0.7877, Improper construction techniques and lack of experience of the consultant came 2nd and 3rd with RII of 0.7215 and 0.7213 respectively. Late payments during work progress and Use of improper equipment are contributors to project time overrun; while, factors affecting cost overrun are fluctuation in building material costs ranked 1st with RII of 0.7354, frequent design changes, (0.7138), omissions and errors in bills of quantities (0.6754), import of construction materials (0.6754). The report suggests enhancing project management through effective resource management techniques, ongoing training and certification programs, and implementing advanced technology to improve communication, resource management, and planning precision, contributing to sustainable growth in Nigeria's construction industry. Keywords: stakeholder management, construction sector, project management, major contributor

NPV, IRR, PI, PP, and DPP: A unified view

This paper introduces a class of investment project's profitability metrics that includes the net present value (NPV) criterion (which labels a project as weakly profitable if its NPV is nonnegative), internal rate of return (IRR), profitability index (PI), payback period (PP), and discounted payback period (DPP) as special cases. We develop an axiomatic characterization of this class, as well as of the mentioned conventional metrics within the class. The proposed approach offers several key contributions. First, it provides a unified interpretation of profitability metrics as indicators of a project's financial stability across various economic scenarios. Second, it reveals that, except for the NPV criterion, a profitability metric is inherently undefined for some projects. In particular, this implies that any extension of IRR to the space of all projects does not meet a set of reasonable conditions. A similar conclusion is valid for the other mentioned conventional metrics. For each of these metrics, we offer a characterization of the pairs of comparable projects and identify the largest set of projects to which the metric can be unequivocally extended. Third, our study identifies conditions under which the application of one metric is superior to others, helping to guide decision-makers in selecting the most appropriate metric for specific investment contexts.

On the optimal design of peer monitoring systems in capital budgeting

AbstractThis paper considers peer monitoring in a capital budgeting setting with information asymmetry between principal and agents. The paper demonstrates in a two‐agent, two‐project setting that the principal can have each agent reveal their private information on the other agent's project, at an arbitrarily low cost. Next, an examination of monitoring resource allocations is made. Specifically, a comparison is made of broad monitoring, which spreads monitoring resources equally across agents' projects, and focused monitoring, which applies all monitoring resources to a single agent's project. Focused monitoring is preferred within an intermediate range of profitability, above which broad monitoring is preferred and below which neither is preferred. If project profitability is heterogeneous and focused monitoring is preferred, the more profitable project receives the focus. Both of these results occur because there is a threshold of monitoring resources that must be deployed for monitoring to provide any benefit, and the threshold is higher (more resources must be deployed) for lower profitability projects. That is, even if all monitoring resources are devoted to a low profitability project, they may provide no benefit to the principal. A discussion of how peer monitoring can be engineered by the firm is included.

IMPROVEMENT OF INNOVATION AND INVESTMENT ACTIVITIES OF THE ORGANIZATION

As noted in previous publications, innovation and investment are closely linked. It is impossible to imagine serious innovation projects without large investments, and effective investments without innovation. Often, companies have their financial reserves, but no investment, again because the company does not have innovative and profitable projects that are attractive to investors. In situations of economic instability, investors select and analyze projects for investment more carefully, since the efficiency and risk of investment are directly related to the structure of the innovation project. Economic analysis in innovation and investment activities is a tool for developing management decisions aimed at improving the efficiency of the enterprise, and is also used to assess the professional skills and competencies of enterprise managers, innovation units and specialists. Currently, there are a sufficient number of fundamental approaches and methods for determining the efficiency of capital investments throughout the investment cycle

Examining Global Resource Mobilization: Strategies and Hurdles in Accessing the International Capital Market

The role of finance is indispensable for business entrepreneurs as it fuels both fixed and working capital, driving growth and operational efficiency. Financial decisions are crucial for directing business growth from its inception through various phases. Corporate finance is pivotal in exploring alternative methods to finance fixed and working capital needs. Capital markets, including domestic ones like India's Securities Exchange Board-regulated and international markets, serve as vital platforms for businesses to secure funding and ensure smooth operations. Effective corporate governance, shareholder wealth maximization, regulatory compliance, profitable project funding, and global brand recognition are key goals for corporations to sustain and thrive. This paper aims to delve into the Overseas Depositories' role in international capital markets, highlighting their contribution to funding corporations globally. It will also discuss the significance of two-way fungibility in trading shares and depository receipts across borders, and how overseas depositories facilitate finance raising for corporations. Additionally, the paper will examine the trading dynamics of American and Global depository receipts vis-à-vis shares in the international capital market context.

Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation

The project managers who deal with risk management are often faced with the difficult task of determining the relative importance of the various sources of risk that affect the project. This prioritisation is crucial to direct management efforts to ensure higher project profitability. Risk matrices are widely recognised tools by academics and practitioners in various sectors to assess and rank risks according to their likelihood of occurrence and impact on project objectives. However, the existing literature highlights several limitations to use the risk matrix. In response to the weaknesses of its use, this paper proposes a novel approach for prioritising project risks. Monte Carlo Simulation (MCS) is used to perform a quantitative prioritisation of risks with the simulation software MCSimulRisk. Together with the definition of project activities, the simulation includes the identified risks by modelling their probability and impact on cost and duration. With this novel methodology, a quantitative assessment of the impact of each risk is provided, as measured by the effect that it would have on project duration and its total cost. This allows the differentiation of critical risks according to their impact on project duration, which may differ if cost is taken as a priority objective. This proposal is interesting for project managers because they will, on the one hand, know the absolute impact of each risk on their project duration and cost objectives and, on the other hand, be able to discriminate the impacts of each risk independently on the duration objective and the cost objective.

Optimization of offshore wind farm inspection paths based on K-means-GA.

As global demand for offshore wind energy continues to rise, the imperative to enhance the profitability of wind power projects and reduce their operational costs becomes increasingly urgent. This study proposes an innovative approach to optimize the inspection routes of offshore wind farms, which integrates the K-means clustering algorithm and genetic algorithm (GA). In this paper, the inspection route planning problem is formulated as a multiple traveling salesman problem (mTSP), and the advantages of the K-means clustering algorithm in distance similarity are utilized to effectively group the positions of wind turbines, thereby optimizing the inspection schedule for vessels. Subsequently, by harnessing the powerful optimization capability and robustness of genetic algorithms, further refinement is conducted to search for the optimal inspection routes, aiming to achieve cost reduction objectives. The results of simulation experiments demonstrate the effectiveness of this integrated approach. Compared to traditional genetic algorithms, the inspection route length has been significantly reduced, from 93 kilometers to 79.36 kilometers. Simultaneously, operational costs have also experienced a notable decrease, dropping from 141,500 Chinese Yuan to 125,600 Chinese Yuan.

Optimizing Renewable Energy Integration for Sustainable Fuel Production: A Techno-Economic Assessment of Dimethyl Ether Synthesis via a Hybrid Microgrid-Hydrogen System

This study offers an in-depth analysis and optimization of a microgrid system powered by renewable sources, designed for the efficient production of hydrogen and dimethyl ether—key elements in the transition toward sustainable fuel alternatives. The system architecture incorporates solar photovoltaic modules, advanced battery storage solutions, and electrolytic hydrogen production units, with a targeted reduction in greenhouse gas emissions and the enhancement of overall energy efficiency. A rigorous economic analysis was conducted utilizing the HYSYS V12 software platform and encompassing capital and operational expenditures alongside profit projections to evaluate the system’s economic viability. Furthermore, thermal optimization was achieved through heat integration strategies, employing a cascade analysis methodology and optimization via the General Algebraic Modeling System (GAMS), yielding an 83% decrease in annual utility expenditures. Comparative analysis revealed that the energy requirement of the optimized system was over 50% lower than that of traditional fossil fuel-based reforming processes. A comprehensive assessment of CO2 emissions demonstrated a significant reduction, with the integration of thermal management solutions facilitating a 99.24% decrease in emissions. The outcomes of this study provide critical insights into the engineering of sustainable, low-carbon energy systems, emphasizing the role of renewable energy technologies in advancing fuel science.

OPTIMIZATION OF ORGANIZATIONAL PROCESSES IN CIVIL ENGINEERING USING LOGISTICS MODELS

Purpose. In accordance with the analyzed problem, there is a need for a more detailed study and justification of the benefits of implementing logistics models to optimize organizational processes in civil engineering. Methodology. To achieve this goal, the article conducts a systematic analysis of organizational processes in civil engineering in terms of logistics approaches. Current trends in the industry, regulations and scientific developments are considered, risks and barriers that may arise when implementing logistics models in the construction industry are analyzed, practical examples of possible use of logistics concepts in civil engineering at different stages of work and when using specific building materials are offered, ways to overcome barriers and stimulate the implementation of logistics models are provided, and an integrated approach to optimizing organizational processes in civil engineering is proposed. Findings. The study has shown that the introduction of logistics models in civil engineering can lead to: significant efficiency improvements, shorter construction time, reduced costs for materials and transportation, improved quality of construction work, reduced environmental impact, rational use of resources, reduced construction waste, increased competitiveness, improved safety, and increased project profitability. Originality. The key principles of development and functioning of logistics models in the context of civil construction are identified: the principle of integration: combining all stages of the construction process into a single logistics system, the principle of resource optimization: minimizing the cost of materials, transport, labor, the principle of flexibility and adaptability: the ability to adapt the logistics model to changing construction conditions. Practical value. The results of the study indicate that the introduction of logistics models in civil engineering is a relevant and promising area for optimizing processes in this sector. The use of logistics can contribute to effective resource management, increase productivity and reduce costs, which is noted by the practical importance of this study.

Global Perspectives on Financial Policy Optimization: Addressing Overinvestment and its Impact on Corporate Profitability (Study on Indonesia Stock Exchange)

The primary objective of this research is to investigate the impact of overinvestment on corporate performance. It also seeks to analyze the effectiveness of debt policy, dividend policy, and the combined use of debt and dividend policy in alleviating the adverse effects of overinvestment on corporate performance. The study utilizes data from a sample of 53 non-financial companies that carried debt and consistently distributed dividends from 2010 to 2022. Overinvestment is assessed through two methods: the residual value derived from the new investment equation and the Hodrick-Prescott (HP) filter. The data is then transformed into panel data, and various models such as fixed effect, random effect, and common effect are applied to identify the most suitable model. The findings indicate a negative correlation between overinvestment and corporate performance. Debt policy emerges as a mitigating factor, addressing agency conflicts and reducing the adverse impact of overinvestment on company performance. Similarly, dividend policy proves effective in mitigating the negative effects of overinvestment by constraining excess cash. The combination of debt and dividend policies is identified as a comprehensive strategy to mitigate overinvestment, as it aids in curbing excessive free cash flow. However, it is noted that this combination also lowers financing funds to their minimum level, potentially leading to a shortage of funds for future profitable projects. Consequently, careful calculations are emphasized to ensure companies strike a balance, avoiding neglect of profitable investments in the future.

The Continuous Reproduction of Contradictions in the Urban Development of New Belgrade’s Central Area

The initial source for the continuous reproduction of contradictions in the central area of New Belgrade’s urban development was the mismatch between the dynamics of political and economic reforms and the static urban planning system that has been banded to the most progressive but rigid functionalist ideals that could not adapt to the emergent pace of these reforms. Consequently, during the socialist and post-socialist periods, the central area of New Belgrade grew irregularly by developing contradictory fragments rather than totality. The inconsistency of the socialist authorities in completing the capital city according to the urban plan despite political imperatives has continued with the post-socialist governing tendencies towards irregularity, privatization, and commercialization of urban development. A series of individual, short-term, and profitable urban projects that have opposed the socialist urban structure, have reused inherited socialist urban infrastructure as a fertile ground for their growth. More than presenting a new insight into the history of urban development of the central area of New Belgrade, this study uses it as the prime case to disclose the unsustainability of the urban planning system during the socialist past and post-socialist present. An alternative urban planning system would embrace the challenges of the continuous reproduction of contradiction by affirming an institutional network of platforms for collaboration among citizens, urban planners, authorities, and developers.

Accounting background and cross-membership effects on investment efficiency in Islamic banks: a study of Islamic Supervisory Board members

Purpose This study aims to examine the joint effect of accounting background and cross-membership of Islamic Supervisory Board (ISB) members on bank investment efficiency. Design/methodology/approach This study uses data collected from 36 Islamic banks across 15 countries globally, spanning the period from 2012 to 2021. This research uses an ordinary least squares regression and a comprehensive set of endogeneity and robustness tests. Findings The findings show a negative relationship between the accounting background of ISB members and investment efficiency. However, when ISB members with accounting backgrounds also have ISB cross-memberships, the banks exhibit high investment efficiency. These results suggest that ISB cross-membership plays a crucial role in facilitating Islamic banks’ access to timely information on investment opportunities. This enables ISB members with accounting expertise to thoroughly assess the benefits and risks associated with their investment prospects. These findings imply that ISB members with accounting backgrounds and cross-memberships have greater motivation and thoughtful considerations for making better investment decisions. Consequently, Islamic banks are better positioned to undertake high profitable investment projects, which enhance their investment efficiency. Practical implications The current study holds immense value for Islamic bank management in their selection of ISB members who possess an accounting background and cross-membership. Originality/value This study delves into a comprehensive investigation of the proficiency, underlying principles and unique characteristics exhibited by ISB members with an accounting background. Moreover, this study acknowledges the burgeoning global prominence of Islamic banks.