Cost Control Management Research Articles

Performance Evaluation of Islamic Banking Services Industry: Evidence from GCC

This study documents the comparative financial performance of the Islamic Banking Services Industry (IBSI) in the Gulf Cooperation Council (GCC) region. After drawing the performance evaluation framework (based on the CAMEL framework), the research conducted data analysis of the Islamic Banking Services Industry (IBSI) in the GCC region for 31 quarters (2013Q4–2021Q4). The analysis examines capital adequacy, asset quality, management performance, earnings, and liquidity management. Objectively classified data trends are reported through graphs. Additionally, the research documents internal determinants of financial performance. Findings suggest that the GCC-IBSI has shown overall progress in achieving primary objectives (commercial performance), including healthy capital adequacy, cost control, equity returns, and liquidity management. Capital adequacy, cost control, and liquidity management significantly contribute to financial performance. Managerial implications include cost control, reduction in non-performing loans, and prudent liquidity management. There exist opportunities in the GCC-IBSI for investors, given the mismatch in demand and supply of Islamic financial services. This study contributes to the literature by documenting findings on the achievements of the primary objective of IBSI in multiple GCC-IBSI markets comparatively.

Research on Issues and Strategies of Financial Management Informationization in the Era of Big Data

In the context of rapidly evolving big data and cloud computing technologies, the field of corporate financial management is undergoing a profound transformation. Financial management informationization, as a core engine driving improvements in corporate efficiency and cost optimization, has become a new frontier in industry competition. This trend not only accelerates the intelligent and real-time nature of corporate decision-making processes but also profoundly alters traditional models of capital operations, cost control, and risk management. However, while the wave of big data offers unprecedented data treasures and powerful analytical tools for corporate financial management, it also brings a series of pressing challenges that need to be addressed. This paper aims to thoroughly analyze the main obstacles faced by financial management informationization in the era of big data and to propose a series of practical solutions.

Research on Innovation of Food Logistics Supply Chain Management

In the context of globalization and constantly changing consumer demand, the management of food logistics supply chains has become increasingly complex and important. This paper mainly studies the problems and innovative methods in food logistics supply chain management, aiming to improve the efficiency and adaptability of the supply chain by optimizing management strategies. This paper adopts literature analysis and case analysis methods to analyze in detail the problems of information asymmetry, cost control, transportation efficiency, and inventory management in the food logistics supply chain. It proposes innovative supplier management models, digital management, modern supply chain management concepts, inter chain cooperation, and risk management solutions. Research has found that adopting information-sharing mechanisms and advanced information technology, as well as strengthening collaboration among various links in the supply chain, can effectively improve management efficiency and reduce operating costs. This study provides some useful references for food logistics enterprises in practical operation, helping them improve service quality and reduce operating costs in a fiercely competitive market environment, enhance market competitiveness, ensure food safety and freshness, and meet the growing needs of consumers.

Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy

Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to achieve real-time monitoring and dynamic analysis of costs. This not only improves the accuracy of cost management but also enhances the enterprise's ability to respond to market changes. Secondly, the implementation of intelligent cost control, through automated and predictive cost management, enables enterprises to more effectively control and predict cost changes, thereby improving the efficiency of resource allocation and the quality of cost management decisions. Furthermore, the development of collaborative cost management emphasizes the synergy between internal departments of enterprises and with external partners. By breaking down information silos and promoting resource sharing and business collaboration, enterprises can achieve cost optimization throughout the entire value chain.

Strategic Cost Control and Management in Corporations

In today's new situation and new state of affairs, the modernization of society with the gradual development of information technology, with people's consumption level, medical level of life gradually improve the pursuit of culture is more and more diversified, information is more and more prosperous. Various industries and fields have begun a new class of more intense competition, they are not limited to business competition, but need to go from the root of the reasonable integrated planning, in order to put more favorable funds into the follow-up input and important links, so in the current situation to form a good enterprise cost management control is critical to determine the development of the enterprise. This paper will discuss the importance of enterprise cost management control through the four different industries of enterprises according to their characteristics, and provide a certain exploration program, expound the relevant theories of enterprise cost management control, and combined with the status quo to give the basic measures.

Research on the Application of SQL in Corporate Finance

This paper conducts an in-depth study on the application of SQL in corporate finance, exploring its practical uses in financial report automation, risk management, cost control, and tax management. Through functions such as querying, filtering, calculation, aggregation, joining, and automation, SQL can significantly improve the efficiency and accuracy of financial report generation, help companies monitor and identify financial risks in real time, optimize cost control, and assist in tax filing and planning. However, when applying SQL, companies need to be aware of potential issues such as technical dependence, data security, and system scalability. In the future, SQL will continue to play a critical role in promoting the intelligence and data-driven nature of financial management.

Application of Artificial Intelligence in the Management of Coagulation Treatment Engineering System

In this paper, the application of artificial intelligence, especially neural networks, in the field of water treatment is comprehensively reviewed, with emphasis on water quality prediction and chemical dosage optimization. It begins with an overview of machine learning and deep learning concepts relevant to water treatment. Key advances and challenges in using neural networks for coagulation processes are thoroughly analyzed, including the automation of coagulant dosing, dosage level optimization, and efficiency comparisons of modeling approaches. Applications of neural networks in predicting pollutant levels and supporting water quality monitoring are explored. The review identifies avenues for improving coagulation-based modeling with neural networks, such as enhancing data quality, employing feature engineering, refining model selection criteria, and improving cross-validation methods. The necessity of continuous monitoring and adaptive optimization strategies is emphasized. Challenges such as the complexity of coagulation processes, feedback control signal acquisition, and model adaptability from simulations to real-world settings are discussed. Cost control and resource management in water treatment are also highlighted, emphasizing the optimized chemical dosage to reduce expenses while maintaining water quality compliance. In summary, this review provides valuable insights into the current state of neural network applications in water treatment and highlights key areas for further research and development. Integrating AI into coagulation processes has the potential to enhance the efficiency and sustainability of drinking water treatment.

Financial Technologies Impact on Higher Education Institution Budgeting and Financial Planning

This study investigates the impact of financial technologies on the budgeting and financial planning practices of private Higher Education Institutions (HEIs). The primary objectives are to identify the most adopted financial technologies, evaluate the extent of cash flow management practices, and assess the implementation of digital payment systems. Comparative research design was utilized in the study to determine the differences in perception between teaching staff (N = 50) and non-teaching staff (N = 50) regarding these technologies. Data were collected through surveys and analyzed to determine the levels of adoption and effectiveness of various financial technologies. The findings reveal that digital payment systems are the most widely adopted, followed by Oracle Financials and Enterprise Resource Planning (ERP) systems. HEIs demonstrate strong practices in revenue diversification, strategic budgeting, cost control, and financial reserve management. However, concerns about the accuracy of financial reporting indicate a need for improvement. Significant differences in perceptions and attitudes towards financial technologies were found between teaching and non- teaching staff, highlighting the necessity for targeted interventions. Based on these findings, a comprehensive financial technology plan is proposed, focusing on enhancing perceived use, improving ease of use, fostering positive attitudes, and increasing actual usage of financial technologies. The plan includes specific actions, responsibilities, and timelines to ensure effective implementation. This research underscores the importance of continuous investment in financial technologies and strategic planning to enhance financial management practices in HEIs. By addressing the identified gaps and leveraging existing strengths, institutions can achieve greater efficiency, accuracy, and innovation in their financial operations, ultimately leading to improved financial stability and performance. Keywords: Financial Technology, HEIs, Financial Planning, Budgeting

Financial Optimization Management and Equipment Procurement Risk Analysis of New Energy Photovoltaic Power Generation Project

As renewable energy gains momentum and energy structures evolve, photovoltaic power generation projects assume greater significance in the energy sector. This paper aims to explore financial optimization strategies and procurement risks in new energy PV projects, offering countermeasures. Firstly, an in-depth study of PV project finance reveals potential issues during operation. Cost control, income optimization, and capital management strategies are proposed to ensure economic viability and long-term profitability. Secondly, a systematic analysis of equipment procurement risks in PV projects considers factors like market volatility, technological advancements, and supply chain challenges. Comprehensive risk management measures are put forward to mitigate these risks. These measures cover supplier selection, contract management, technical monitoring and other aspects, aiming at minimizing the uncertainty in the procurement process and ensuring the equipment quality and reliability of the project. Finally, based on actual cases, this paper verifies the practicability and effectiveness of the proposed optimal management and risk analysis methods by comparing the effects of different financial management and equipment procurement strategies. Through these studies, this paper aims to provide useful reference for investors, managers and decision makers of new energy photovoltaic power generation projects, and promote them to make more scientific and reasonable financial management and equipment procurement decisions in the process of project implementation.

Manajemen Pengendalian Waktu Dan Biaya Pada Proyek Daerah Irigasi Saluran Primer Ketonggo Dengan Menggunakan Metode Pert

This thesis presents the results of research about time and cost control management in Ketonggo Primary Canal Irrigation Area project. Time and cost in the best planning is needed in project implementation to ensure that project implementation can achieve maximum results by utilizing existing resources. This study uses the PERT (Program Evaluation and Review Technique) method. By implementing Network planning which is one of the management techniques to plan and control the implementation of a project. Optimization needs to shorten the duration of the project with minimal expenditure. Total of this contract is Rp. 4,706,045,953.00 with 90 days of completion. The results of this analysis showed that the most likely project completion time was 90 days, with the fastest being 75 days and the slowest being 105 days. Based on the critical path analysis, obtained 9 work items that are very influential in the smooth running of the project. The optimal project cost at normal time is Rp. 4,249,989,942.19 and the total cost required for project acceleration is Rp. 4,710,928,986. Additional costs are used for additional manpower, additional working hours and additional hours of heavy equipment.

A face recognition and temperature compensation system based on Raspberry Pi

Abstract In the post-epidemic era, for quickly and accurately screening people with abnormal body temperature in small crowds and providing efficient methods for epidemic control, a multi-functional identification thermometer was designed and produced. The device uses the Raspberry PI GIS camera to accurately locate the face and identify the identity information of the measured person. The device uses the AMG8833 infrared array thermal sensor for infrared temperature measurement and the HC-SR04 ultrasonic ranging module for temperature compensation. Through multiple temperature compensation experiments, the measurement error is maintained between ±0.2°C. Based on the mathematical model of temperature compensation, the device can match the identity of people with abnormal body temperature through the database. The research results show that the device is of great significance for improving the efficiency of epidemic prevention and management cost control.

Research on Modern Corporate Cost Management and Cost Control Methods

With the continuous deepening of economic system reform and the advancement of economic structure transformation in China, the business environment for enterprises is becoming increasingly complex and competitive pressures are intensifying. In such a context, enterprises that wish to develop stably amidst fierce industry competition should actively adopt and implement modern corporate management concepts, enhancing the level of operational management comprehensively. Cost management, as a core component of modern enterprise management, is crucial not only for the economic benefits of a company but also directly relates to its market competitiveness. However, many companies still face numerous problems in cost management. To address these issues, modern enterprises must face the current situation and adopt effective measures. On the one hand, the importance of cost management should be emphasized through education to enhance everyone's awareness of costs. On the other hand, the procedures for cost accounting must be standardized to ensure the accuracy and reliability of cost data. Moreover, it is essential to continuously explore and introduce advanced cost control methods to improve the effectiveness of cost control and cost management levels, thus providing a solid guarantee for the stable and healthy development of the company and meeting the needs of sustainable development in the future.

Creativity in Project Implementation: An Empirical Study of Project Managers

The construction industry is a dynamic and ever-evolving sector, continuously adapting to societal needs. Within this context, project managers play a pivotal role in steering projects from inception to completion. This study delves into the vital dimension of creativity among project managers in the United Arab Emirates (UAE) and its substantial contribution to the growth of the construction industry in the region. Research in the broader field of construction and project management has traditionally concentrated on factors such as scheduling, cost control, and risk management. However, a noticeable gap exists in the exploration of the relationship between project manager creativity and project success. Hence, the objective of this study is to comprehensively explore various dimensions of project managers’ creativity and evaluate its influence, alongside other criteria, on the outcomes of construction projects. Dimensions and indicators of creativity are derived from a meticulous literature review, and online survey questionnaires were employed to gather insights from individuals engaged in construction projects. The resulting hypothetical model underwent rigorous statistical analysis, employing confirmatory factor analysis and structural equation modeling. Findings indicate a positive impact of tacit knowledge sharing and emotional intelligence on the creativity of construction project managers in the UAE. Moreover, the study establishes that project managers’ creativity, combined with other criteria, significantly contributes to the success of construction projects in the region. These insights are instrumental for fostering creativity among project managers and enhancing overall project success within the construction industry. The study’s originality lies in its distinct contribution to the discourse on creativity in the construction sector.

Significant factors affecting the Vietnam Roads Infrastructure Construction Cost Overrun - A Review

Cost overrun represents a significant challenge faced in construction projects, particularly in the realm of transportation infrastructure. The investigation into the causes of cost overruns in such projects has garnered substantial attention from both academics and the general public. Various studies conducted globally have identified diverse factors contributing to cost overruns. This article undertakes a critical review of the literature on cost overruns in construction projects, encompassing cases from different countries with a specific focus on Vietnam. The aim is to identify and comprehend the primary potential causes of cost overruns in construction projects across various geographical contexts, providing insights into both commonalities and distinctions within the identified factors. According to the findings of this study, the ten identified factors encompassing Delay in site clearance certificates, Change Management, Delay in Payment, Extension of the project implementation schedule, Construction Material Price Fluctuation, Effects of inflation and price slippage, Poor construction site management, Poor project management capacity of the investor, Poor financial capacity of the investor, Geological complexity are deemed highly influential and warrant close scrutiny during the implementation of projects in Vietnam. The insights gained from this study will serve as invaluable recommendations for active entities within the construction industry to adopt a more holistic approach to project management, cost control, and cost overrun management. By addressing quantitatively these factors in the forthcoming research, organizations in construction industries in Vietnam can effectively minimize project costs overrun in the future.

Pemanfaatan BIM dalam Integrasi Arsitektur dan MEP Pada Proyek Konstruksi Gedung Lab PUT PNJ

Recent building construction projects increasingly prioritize the integration of architectural (design) and MEP (mechanical, electrical, and plumbing) aspects as key elements to achieve effective and sustainable projects. This study aims to explore the close relationship between architecture and MEP in building construction projects and how integrating the two can provide optimal results. This article discusses the important role of Building Information Modeling (BIM) technology in supporting the integration of architecture and MEP. BIM enables architecture and MEP professionals to work collaboratively in an integrated virtual environment, facilitating monitoring, coordination, and early identification of design conflicts. The results showed that effective use of BIM can create more efficient projects in terms of planning, execution, and maintenance. In addition, the study explores planning strategies that support the integration of architecture and MEP, including the selection of environmentally friendly materials, optimal spatial design, and energy efficiency. Comprehensive, sustainable planning can reduce environmental impact, reduce energy consumption, and reduce long-term operating costs. Project control in the context of architectural integration and MEP is also the focus of this study, with emphasis on construction quality monitoring, cost control and risk management. The success of a project often depends on careful control of these aspects. Therefore, this research provides insight into the integration of architecture and MEP in building construction projects and shows how this comprehensive approach can improve efficiency, sustainability, and sustainability as well as overall project outcomes.

A model for the application of big data analytics in cost prediction and control in construction projects

Abstract Construction project cost control is an important aspect of project management. This paper aims to provide an effective cost control management mode for the construction industry by studying the application of big data technology in cost prediction and control management of construction projects. The standard particle swarm algorithm is optimized by establishing a particle object element model, performing iterative and hierarchical updating of particles, and introducing the Tent mapping strategy. Then it is used in the optimization of the Extreme Learning Machine algorithm to design a construction project cost prediction and control model based on APSO-LLM. The index system of the construction project cost prediction and control model is constructed, and the convergence effect, prediction effect, and case application of the model are analyzed. The APSO-LLM model enhances the convergence speed and search accuracy, boosts the optimal fitness by 0.037, and maintains a construction cost prediction error below 3%. The study proves the APSO-LLM model’s applicability, accuracy, and good prediction effect in cost prediction and construction project control.

Cost Control Management of Construction Projects Based on Fuzzy Logic and Auction Theory

Cost Control Management of Construction Projects Based on Fuzzy Logic and Auction Theory

Application of BIM technology in construction project cost refinement control and construction energy consumption control

Abstract In order to solve the problem of accurate cost control management in the process of engineering construction, this paper applies BIM technology to the whole process of cost management, covering the whole life cycle of the project. Through efficient sharing of information on the BIM collaborative platform, it carries out unimpeded process work and achieves refined management. Aiming at the complexity of the information characteristics that affect the cost and uncertainty of information transmission, an algorithm fusion scheme based on NCM-FPN has been designed. The TOPSIS method is used to integrate the case feature attributes into the cost case information database. By combining the clustering algorithm with practical management experience, the knowledge base of engineering cost control strategies can be established, and the logical relationship of strategy matching can be determined. The inverse cloud algorithm is used to establish the feature cloud, determine the fuzzy Petri network structure based on generative rules and design the inference algorithm to establish an intelligent model for strategy matching so as to realize the accurate mapping and rapid response from the target case features to the control strategies. Through the analysis of construction energy consumption, it is concluded that the construction energy consumption of different structure buildings is not the same; the construction energy consumption per unit area of brick structure, steel structure residence and frame office building is 0.1659GJ/m2, 0.2706GJ/m2 and 0.3104GJ/m2 respectively, and the largest is the shear-wall structure residence is 0.3381GJ/m2 for the 2.04 times of the brick structure. Based on BIM technology, the cost of dynamic control engineering for construction projects was reduced by 5.4 million. Therefore, BIM is an important technical means to promote the whole process control of project cost, from empirical control to informationization, standardization, and intelligent control.

ESG Transformation Strategy Case Analysis: Taking Sands China Limited as an Example

Sands China Limited is a comprehensive entertainment company operating in Macau. This paper evaluates the sustainable development of Sands China by analyzing its performance in environmental, social, and governance (ESG) aspects, as well as financial performance indicators. In terms of the environment, Sands China has implemented multiple measures to improve energy efficiency, reduce carbon emissions, and prioritize water resource management. In the social aspect, the company focuses on employee welfare, community development, and social responsibility, enhancing its social impact through various projects and activities. Regarding governance, Sands China is committed to establishing a transparent and responsible corporate governance system. In terms of financial performance, Sands China achieved relatively stable growth from 2017 to 2019 and addressed market challenges through cost control and risk management measures. However, the company's performance was severely impacted by the COVID-19 pandemic. To adapt to the current uncertainty, Sands China needs to embrace market changes, diversify its business, strengthen risk management, and actively explore new markets. Through these efforts, Sands China will maintain a stable development trajectory and contribute to the economic recovery of Macau.

Waste Lime Earthwork Management Using Drone and BIM Technology for Construction Projects: The Case Study of Urban Development Project

Recently, there has been a recognized need to use waste lime landfills for land reclamation projects. Waste lime earthwork is more challenging than general earthwork operations due to potential health and safety hazards and significant changes in earthwork volume. There has been substantial research undertaken on the role of advanced construction technologies in general earthwork; however, their potential in hazardous waste lime environments for earthwork management is yet to be explored. This research proposes a methodology that integrates drone and BIM construction technology for effective and efficient hazardous waste lime earthwork management for construction projects. Drones are used for surveying, providing as-built information, and BIM to model, process, and evaluate the progress of waste lime earthwork. Volume change analyses are conducted using BIM to calculate dehydration time due to the ripple effect of waste lime for cost-efficient earthwork haulage. The case study provides evidence that the proposed method using advanced construction technologies improves productivity, safety, cost control, and better project management for earthwork related to hazardous waste materials.