Project Budget Research Articles

A case study on the relationship between risk assessment of scientific research projects and related factors under the Naive Bayesian algorithm

This paper delves into the nuanced dynamics influencing the outcomes of risk assessment (RA) in scientific research projects (SRPs), employing the Naive Bayes algorithm. The methodology involves the selection of diverse SRPs cases, gathering data encompassing project scale, budget investment, team experience, and other pertinent factors. The paper advances the application of the Naive Bayes algorithm by introducing enhancements, specifically integrating the Tree-augmented Naive Bayes (TANB) model. This augmentation serves to estimate risk probabilities for different research projects, shedding light on the intricate interplay and contributions of various factors to the RA process. The findings underscore the efficacy of the TANB algorithm, demonstrating commendable accuracy (average accuracy 89.2%) in RA for SRPs. Notably, budget investment (regression coefficient: 0.68, P < 0.05) and team experience (regression coefficient: 0.51, P < 0.05) emerge as significant determinants obviously influencing RA outcomes. Conversely, the impact of project size (regression coefficient: 0.31, P < 0.05) is relatively modest. This paper furnishes a concrete reference framework for project managers, facilitating informed decision-making in SRPs. By comprehensively analyzing the influence of various factors on RA, the paper not only contributes empirical insights to project decision-making but also elucidates the intricate relationships between different factors. The research advocates for heightened attention to budget investment and team experience when formulating risk management strategies. This strategic focus is posited to enhance the precision of RAs and the scientific foundation of decision-making processes.

An analytical approach to understanding construction cost overruns during COVID-19

PurposeThe building sector is vital to a nation’s economy, as it has a major influence on economic activity and growth, job creations and the advancement of infrastructure. Intricate challenges that are inherent in crises such as the COVID-19 outbreak lead to material scarcities, project delays, labor shortages, escalated expenses, funding challenges, regulatory obstacles and dwindling investment funds, all of which culminate in costs that are in excess of those budgeted. While numerous studies have explored the ramifications of COVID-19 on project budgets, there is little, if any, data available on forecasting the magnitude of this impact.Design/methodology/approachThis investigation seeks to bridge this knowledge deficiency by devising a predictive tool grounded in an ordinal logistic regression method. An online survey was designed and disseminated to gauge the views of construction field experts about the diverse contributors to excessive costs during the viral outbreak, and a predictive tool, crafted from the survey participants’ feedback.FindingsFindings showed that smaller-scale enterprises and contractor-centric establishments faced greater adversities than medium-to-large ones and consultancy-or-owner-type entities.Originality/valueThe insights from this research shed light on the amplified risk of higher project costs amid health crises or analogous events, underlining the imperative need for fortified risk management approaches to bolster project outcomes. By factoring in demographics, this research offers policymakers a refined lens through which to customize interventions and promote balanced and enduring advancement in the construction industry.

초등학교 교사의 예산 운용 경험에 관한 질적 연구

The purpose of this study is to analyze the motivation of elementary school teachers who participated in the Ggum-sil project and examine their experiences in budget management. The objective is to identify distinction from the existing school budget management and to provide implications for enhancing the financial autonomy of schools in practice. To achieve this goal, in-depth interviews were conducted with seven elementary school teachers who participated in the Ggum-sil project. According to the analysis, the teachers perceived the majority of the budget as belonging to the school, while the budget from the Ggum-sil project is regarded as the “teachers' own budget” or the “budget for their individual classes or grades”. In addition, only a minimal portion of the budget allocated to curriculum operation and classroom management is directly used for educational activities, and the absolute deficit is replenished through the implementation of the Gum-sil project. In contrast to the school budget, which is operated by departments, the budget of the Gum-sil project is managed on grade level basis. This approach reflects the unique cooperative and communicative structure of elementary schools at the grade level. In the process of budgeting and planning, primary school teachers formulated a broad budgetary plan by considering the variability of educational activities. Restrictive regulations played a significant role in both budgeting and execution processes. There was also self-censorship focused on students in budget management. Teachers appraised their expertise in deciding optimal budget allocation favorably. However, they encountered difficulties in navigating the associated processes and methodologies. Based on the results of the discussion, it is recommended that policy changes are needed for autonomous and effective financial management of unit schools. This entails formulating a strategy to curtail the expenses of targeted projects, considering the actual budget management process in unit schools and the needs of members. In addition, the reconstruction of the budget management framework should be pursued, incorporating and understanding of the unique characteristics of elementary school organizations and prevailing teaching culture.

Socialization of the Sustainable Construction Management Budget through Community Service in the Mekarsari Boarding House Construction Project

Sustainable construction management has become an important issue in this modern era due to limited natural resources, climate change and environmental problems. One construction sector that has great potential for implementing sustainable development principles is boarding houses. The demand for affordable and comfortable boarding houses continues to increase along with population growth and urbanization. However, unsustainable boarding house construction can have a negative impact on the environment and public health. Socialization of the sustainable construction management budget for the Mekarsari boarding house construction project through community service aims to introduce sustainable practices to relevant stakeholders. In the implementation method, identifying weaknesses, training, community formation, evaluation, and knowledge dissemination are key steps. The results of this community service include increasing the knowledge of project partners, forming a community that cares about sustainable development, and implementing sustainable practices in boarding house construction projects. Even though there are challenges, such as paradigm changes and regulatory complexity, this community service has great potential to become an inspiring example in the construction industry. The importance of continuing support for sustainable practices, increasing knowledge dissemination, realizing regulations, integrating technological innovation, and promoting cross-sector collaboration. By following these suggestions, this project can have a greater impact in driving positive change in the construction industry towards more sustainable development.

Manajemen Waktu Pada Pekerjaan Arsitektur Proyek Pembangunan Gedung Yayasan Pelita Ilmu Insani

The success or failure of a project can be influenced by the lack of planning of project activities, and the supervision carried out is ineffective and has an impact on the project running inefficiently. Then, it will result in delays and a decrease in the quality of work and have an impact on swelling the project budget. Project management is needed in order to manage projects starting from implementation to the end of a project. This research uses a case study on the Pelita Ilmu Foundation Building Construction Project, especially architectural work. This building is located on Jl. Rawa Kuda, Kp. Rawa Kuda RT/RW 004/002 Karangharum, Kedungwaringin District, Bekasi Regency, West Java 17540 [1]. The S curve is used to find out how long a project takes to complete. The aim of this research is to determine time efficiency in terms of the S Curve graph. The results of time management analysis using the S Curve on the graph showed that the realization of time delays was not in accordance with the plan.

Management Practices and Performance of Projects of Forum for Women Development in Kabale District Uganda

The study focused on project management methods and outcomes in Uganda. FOWODE instance in Kabale District. The study's primary goals were to determine the impact of internal controls on project performance in the Kabale district, the impact of human resource management on project performance in the Kabale district, and finally, the impact of planning on project performance in the Kabale district. Using the sample size determination table by Morgan and Krejcie (1970), 103 respondents were chosen as the sample size from a total of 140 respondents. This suggests that in the Kabale district, planning is statistically significant to project performance. The null hypothesis was thus disproved. The study's final finding for goal one was that financial controls and compliance are crucial for enhancing project performance. Improved internal controls will increase FOWODE's capacity to use resources efficiently, reduce waste, and provide expected results. Regarding the second goal, the study came to the conclusion that rewards methods should be in line with project objectives and staff values. Lastly, on objective three, It is essential to develop a clear project planning framework that outlines the project's objectives, goals, budget, timeline, and resource allocation.

지방소멸대응기금 성과분석에 따른 개선 방향 고찰

Two years have passed since the local extension reaction Fund was introduced and the budget was allocated to overcome the problem of continuous population decline. The government expects that the annual budget of 1 trillion won, focusing on 89 population-decreasing areas, will alleviate the serious population decline problem, especially in non-capital areas. Therefore, this study analyzed based on statistical data on the extent to which the fund performed in the population-decreasing area. As a result of the analysis, it was confirmed that the population decline in the population-decreasing area was significantly alleviated and the net outflow of young people decreased in size compared to before the input of the fund. Nevertheless, it was also confirmed that there is a limit to responding to the population decline in South Korea with this fund, considering the fact that the population has turned to a decline in areas that are not designated as a population-decreasing area or the scale of net outflow of young people has expanded. In the end, in order to overcome the problem of rapid population decline in South Korea, there are certain limitations in establishing investment plans and discovering projects at the level of basic local governments, so it would be desirable to approach it through regional planning and project discovery based on inter-regional cooperation. In addition, in terms of the financial system, it is necessary to overcome the population crisis by efficient financial input to enable the linkage of this fund project with the Special Account for Balanced National Development or other budget projects.

Compact rover surveying and laser scanning for BIM development.

This paper presents a custom made small rover based surveying, mapping and building information modeling solution. Majority of the commercially available mobile surveying systems are larger in size which restricts their maneuverability in the targeted indoor vicinities. Furthermore their functional cost is unaffordable for low budget projects belonging to developing markets. Keeping in view these challenges, an economical indigenous rover based scanning and mapping system has developed using orthogonal integration of two low cost RPLidar A1 laser scanners. All the instrumentation of the rover has been interfaced with Robot Operating System (ROS) for online processing and recording of all sensorial data. The ROS based pose and map estimations of the rover have performed using Simultaneous Localization and Mapping (SLAM) technique. The perceived class 1 laser scans data belonging to distinct vicinities with variable reflective properties have been successfully tested and validated for required structural modeling. Systematically the recorded scans have been used in offline mode to generate the 3D point cloud map of the surveyed environment. Later the structural planes extraction from the point cloud data has been done using Random Sampling and Consensus (RANSAC) technique. Finally the 2D floor plan and 3D building model have been developed using point cloud processing in appropriate software. Multiple interiors of existing buildings and under construction indoor sites have been scanned, mapped and modelled as presented in this paper. In addition, the validation of the as-built models have been performed by comparing with the actual architecture design of the surveyed buildings. In comparison to available surveying solutions present in the local market, the developed system has been found faster, accurate and user friendly to produce more enhanced structural results with minute details.

Sustainability-Based Value Engineering Management as an Integrated Approach to Construction Projects

The integration of sustainability standards and value engineering methods in public education projects is a significant concern, as it ensures the well-being and sustainability goals of students, lecturers, and employees. This study aims to enhance sustainability within public education campuses by utilizing value engineering processes that establish a balanced correlation between the available budget costs and the sustainability costs that affect educational objectives, strategies, and the overall sustainability of the environment. In order to evaluate the integration of value engineering and the sustainability rating system “LEED protocols” for schools, the study utilized HAP (Hourly Analysis Program) software to perform numerical analysis, with the objective of improving environmental efficiency and cost-effectiveness in school buildings from the perspective of both male and female students. By applying this approach to all engineering disciplines, systems, and materials involved in the project, the study achieved impressive results, including a reduction in energy usage by 53.67%, a cost reduction of 27.48% from the total project budget, and 13 points earned in credit C1 and credit C2 in the Energy and Atmosphere EA category in LEED 2009. These findings are of great importance for the planning and execution of construction projects, specifically in the context of educational infrastructure, and provide valuable insights into the construction and renovation of school buildings, which can be used to enhance the safety, functionality, and aesthetic appeal of these facilities.

Green artificial intelligence for cost-duration variance prediction (CDVP) for irrigation canals rehabilitation projects

This research introduces Automated Cost-Duration Variance Prediction (CDVP) system to empower project managers to proactively predict project budget, duration, cost variance and duration variance. The research involved the development and comparison of a total of 48 machine learning (ML) algorithms, with 12 algorithms dedicated to each predictive model. To conduct the study, a dataset comprising 1277 historical cases of Field Canals Improvement Projects (FCIPs) was utilized. Factor analysis and stepwise regression analysis were employed for feature selection where five key drivers were identified from the initial 25 parameters. The paper optimized the performance of each algorithm based on Bayesian optimization. The proposed system produces four outputs: project cost, project cost variance, project duration, and duration variance. The developed ML models were able to predict all of the system’s outputs with an adjusted determination coefficient R2 score greater than 0.93 and Mean Absolute Percentage Error (MAPE) less than 8.97. Environmentally, this research recommends to assess CO2 emissions as a performance criterion to select the low environmental impact algorithms. As a result, Light Gradient Boosting Machine (LightGBM) and AdaBoost Regressor were green sustainable algorithms that emitted on average 58 and 69 CO2e grams per computational hours. To enhance interpretability, the study employed the SHapley Additive exPlanations (SHAP) technique to provide explanations for the key drivers.

Socialines paslaugas teikiančių įstaigų biudžeto sudarymas ir analizė: globos namų atvejis

One of the main functions of social protection is the provision of social services to peoplewho need them. In today's society, the need for social services tends to increase and needs to beadequately funded. However, the issues of the management and financing of these services have notbeen sufficiently investigated. In order to fill this gap, this article examines the financing arrangementsfor social services. It also analyses and evaluates the preparation and implementation of the budget ofthe institution providing such services. The object of the study is the budget for 2020-2022 of one of theinstitutions providing social services – care homes. The aim of the study: after examining the nature ofsocial services and the arrangements for their management and financing, to assess the arrangementsfor preparing the budget of the care home and to analyse it budget for the period 2020-2022. The studyfound that the projected revenue and cost budget of the care home is quite different from the actualrevenue and cost of the institution. The study identified the reasons for these variances and madesuggestions for improving the preparation of the budget project with a view to reducing the variancesbetween planned and actual amounts in future.

Breaking the silence: the complex nexus of gender and climate change in Nepal

Nepal recognizes climate change as a significant threat to its economy, communities, and environment. Climate variability is one of the major causes of food insecurity, poverty, and inequality in the country. Marginalized and vulnerable communities, particularly women, suffer the most severe consequences of climate change. In this paper, we qualitatively analyze primary and secondary data to understand how gender considerations are integrated into agriculture and climate change policies. It aims to identify gaps in integrating gender considerations into policies and practices. Climate change’s challenges on agriculture and food security have been identified in most agricultural policies; however, those policies remain quiet on the gender-specific impacts of climate change. Representation mandates are not sufficiently linked with officials’ overall performance, resulting in limited representation of women in budget formulation, project and program design, planning, and resource and opportunity allocation. As a way forward, our analysis suggests addressing the gaps at the policy and institutional levels. For instance, to effectively address climate change, policies should be developed with a gender-inclusive approach, along with budgetary allocations that consider the gender-specific impact of climate change. Promoting gender equality in climate-resilient agriculture in Nepal requires measures such as empowering women’s networks, establishing linkages with extension services that focus on women-led cooperatives, and investing in affordable and climate-smart tools and machinery that are women-friendly. The study offers important insights for policymakers to create gender-inclusive policies. It highlights the opportunity to coordinate inter-agency responses among stakeholders and sustain ongoing national policy dialogues to identify actions required to meet the nationally determined contributions’ commitments.

Processing Large‐Scale Archival Records: The Case of the Swiss Parliamentary Records

AbstractLegislative bodies generally keep records of their activities. While the digitization wave spurred the availability of archival documents, their processing remains a challenge. The Swiss parliamentary records are no exception.In this paper we present a supervised pipeline for extracting and structuring of content of archival records. Our pipeline consists of five steps, starting with an assessment of which elements need extraction and how they relate to each other. Step two involves general pre‐processing to prepare the PDF documents and is followed by an element classification step. Step four involves post‐processing and the final step is a validation of the extracted information. With our supervised approach, we are able to process over 200,000 pages of Swiss parliamentary records (spanning the years 1891–1995), a feat that would exceed the budget of most projects using manual curation. We discuss validation of individual steps and offer guidance to researchers engaged in similar data processing efforts.

Urban Nature Preservation and Conservation Strategies Based on Biophilic Institutions and Governance: A Lesson Learned from Gold Coast City for Indonesian Cities

Biophilic urbanism is considered as one approach to solve the problem of city’s over-development and may provide opportunities for citizens to connect with the natural environment. This research project is using argumentative approach in attempts to analyse urban nature preservation strategy of the Gold Coast City, based on the biophilic urbanism concept, with a focus on institutions and governance aspect, including biodiversity-related action plans, biophilic support organizations, environmental education, budgets for biophilic urbanism projects, and biophilic-related projects and initiatives. Moreover, it also analyses the constraints to implementing good biophilic governance based on the political/legal, economic, socio-cultural, and technological factors. To determine urban nature conservation and preservation strategies for the Gold Coast’s future, a SWOT analysis was undertaken. The results of this study could usefully give a brief reflection on the possibility of implementing the biophilic city concept for Indonesian cities in general.

Organization of outsourcing activity at Ukrainian enterprises

Introduction. Outsourcing is the best strategy to be ahead of the competition in today's market. Researches indicate that the activity of outsourcing companies is strongly affected by the war, which is relevant for Ukrainian companies. But, despite the fact that the topic of outsourcing activities is actively discussed in the scientific literature, not enough attention is paid to the issue of describing specific stages of the implementation of this activity at enterprises. The purpose of the paper is to determine the most optimal stages of the implementation of outsourcing activities at a Ukrainian enterprise in modern conditions. Results. Because of different problems exists a need to develop appropriate stages of outsourcing activities at Ukrainian enterprises. The first stage shows whether outsourcing is profitable. At the second stage, clear goals for outsourcing are expected to be established. The third stage describes the development of a description of the project, and the fourth stage is the selection of an appropriate outsourcing engagement model. At the fifth stage, the project budget and payment terms are established. The sixth and seventh stages involve planning and appointing an outsourcing manager, who in the eighth stage should send the project description to the relevant firms and review the proposals. The ninth stage is to choose an outsourcing company. At the tenth stage, risks associated with outsourcing are managed. The results and processes of outsourcing activities need to be monitored at the eleventh stage. The twelfth stage includes evaluating and adjusting the outsourcing, and the last stage is the outsourcing report. Conclusion. Outsourcing is a process that delegates some responsibilities and functions of the company to specific service providers. To create a successful outsourcing strategy at Ukrainian enterprises, it is advisable to implement thirteen stages of outsourcing activities. These stages should include the implementation of outsourcing opportunities and the management of related risks. Identifying risks with planned appropriate actions to mitigate them will set the company up for an active response. Understanding the implications of risk will help enterprise to have a control over the outsourcing process.

텍스트 데이터와 재정데이터를 이용한 사회정책분야 예산 분석

This study analyzed government detailed project budgets by combining AI, big data, and expert judgments. Instead of traditional classifications, the study used the 27 social policy agendas from the announced '2023 Core Social Policy Implementation Plan' to categorize government projects. Additionally, the life cycle was used as a classification criterion. Natural language processing(NLP) technology was employed to understand and classify textual data describing detailed projects, successfully classifying government projects and budgets from 2020 to 2023 according to the 27 agendas. Public data from 'NKIS' and 'Open Finance' were utilized in the classification, and KeyBERT was used for NLP. The classification results allowed the identification of annual changes in the number and budget of government projects according to the 27 agendas, as well as the degree of imbalance in detailed projects for each agenda. Furthermore, the classification results by life cycle provided insights into who the detailed projects and budgets are intended for. While NLP played a key role in the results, expert knowledge and judgment were crucial. The research findings suggest evidence for making judgments on efficient budget execution and interagency cooperation. The study also hints at the potential for more in-depth, field-specific research on the 27 social policy issues and life cycle.

Workflow Optimization of Material Management Process by Digital Adoption in Indian Residential Projects

To analyze the present day’s material management process and the extent of digital adoption in the workflow; to identify the shortcomings in the present day’s practice; and to formulate digital inclusive framework to manage materials. Objectives 1 &amp; 2 is achieved through 3 step process – Literature review to identify the related shortcomings (factors) and online/ web search to explore available technology; Survey(s) to assess the real time status on the factors, to identify more practical difficulties and the extent of digital adoption in the workflow; Interviewing seasoned professions to gather data in detail with respect to material. Objective 3 is achieved by comparison and analysis of the findings. Validation of the framework to assess the potential effects – Partial validation is performed as part of this study. Workflow involved in construction material management is optimized via framework. Autodesk Revit, MS Project, and MS Access are the 3 platforms proposed to be part of the framework that suits every phase of the process like Quantity survey and Estimation, Procurement Planning, Inventory, Purchasing and Store Management. Partial framework - MS Project has been validated and the results are – Ability to map the data efficiently; Précised Budget &amp; material requirement identification resulted in an increase of 1% cost in the overall project budget; Easy Cross verification; Easy documentation; Data driven decision making; Multi - dimensional data visibility. The studies in the past have stressed on the benefits of digitalization and the willingness of construction sector in adopting the same. 2019, 2020 and 2021 studies have explored individual digital platform such as MSP, Primavera, and Revit in terms of part functions involved in material management. Whereas there is no study stating the order of workflow between these platforms for complete material management. Also, the studies in the past failed to identify and address the shortcomings related to the digital adoption. Hence, this study proposed a framework that determines the order of the workflow involved in material management between these digital platforms with an aim to optimizing the workflow.

Spread management priorities to limit emerald ash borer (Agrilus planipennis) impacts on United States street trees

AbstractThe invasive emerald ash borer (Agrilus planipennis) causes damage to street trees which is estimated to reach US$ 900 million over the next 30 years. Although millions of dollars are spent annually to control this species, spatiotemporal management plans are often based on rules of thumb that ignore future pest dispersal. Here, we reveal an optimal management strategy to protect urban trees in North America from A. planipennis. To achieve this, we embedded a pest dispersal model within a mixed integer programming framework. We discovered that optimized strategies consistently outperformed those based on rules of thumb, potentially resulting in the protection of an additional nearly 1 million street trees and savings of $ 629 million. Critically, the best management strategies always relied on quarantines and biological control (constituting 98–99% and 1–2% of the project budget, respectively), in contrast with current practices, where federal spending has been diverted to biological control. Our findings serve to inform future pest control efforts and can help protect many more trees from this invasive species.

Development of demolition project hazard index using the possibility approach

Hazard assessment is the most crucial criterion for demolition projects’ safety due to its dynamics and characteristics. This study presents a framework to assess demolition hazards by developing the demolition project hazard index (DPHI), which represents hazard level of the demolition project’s using the possibility approach. The three-level hierarchical framework consisting of eight components and 29 attributes was adopted to evaluate DPHI. The evaluation methodology and weight determination of the hazardous components and their attributes were carried out using fuzzy measures, fuzzy integrals, Analytic Hierarchy Process (AHP) with cosine maximization (CM), and Weighted Sum Method (WSM). This study was validated by establishing the correlation between DPHI and safety budget of several demolition projects. In addition, the sensitivity analysis was presented to examine the influence of variation in components’ weights over DPHI. The DPHI will help distinguish the demolition projects based on their hazard level, which allows the stakeholders to understand a more realistic view of the hazard levels and, accordingly, the necessary resources can be assigned to expand the safety management in demolition projects. Application of possibility approach, AHP with CM, and consideration of the three-level hierarchical framework are some of the key contributions and highlights of this study.

Analisis Biaya dan Waktu pada Proyek Jembatan (Studi Kasus Proyek Pembangunan Jembatan Candisari Sambeng Kabupaten Lamongan) dengan Menggunakan Metode Earned Value

Project management has three main objectives when carrying out construction projects including cost, quality, and time. If a project can be completed with a predetermined level of quality or quality, then the project has been successfully managed. This research uses earned value method. That is a method of knowing costs based on the work that has been done. Thus we can find out whether the Candisari Sambeng bridge construction project in Lamongan Regency is faster or longer than the schedule that has been made. CV value has a negative value in the 15th period, namely -Rp 18,078,304 SV value there is a negative value until the 18th period with a value of -Rp 494,817,905 CPI value found in the 15th week period with a value of 0.995. The SPI value in the 18th period with a final SPI value of 0.903 estimated cost (EAC) is. IDR 5,166,992,802 estimated EAS time for the jembata replacement project of 21,320 weeks. If the performance is considered the same project, the cost required to complete the construction of the bridge is Rp 5,166,992,802 from the total project budget of Rp 5,346,534,000 so that it gets a profit of Rp 179,541,198, and the time needed to complete the construction work is 21,320 weeks from the specified time of 21 weeks so that the project implementation is delayed for 0,320 weeks.y.