Efficiency Of Project Management Research Articles

Justification of the approach to identifying promising managers for project management

The article deals with problems of project management in the context of a shortage of human resources at enterprises in the real sector of the economy as well as with promising areas of development to improve the efficiency of project management. The necessity of conducting work on preliminary analysis and selection of candidates is noted, with consideration to individual characteristics and expected goals. Within the framework of the tasks set for the study, the authors have shown the possibility of a three-factor evaluation of candidates to achieve results sufficient from the practical point of view in terms of choosing the most promising candidate from the available staff, and the possibility of obtaining a reasoned decision on the need to involve an external manager for the project implementation in the absence of the required competencies in the company’s staff of the. A brief overview of the methodological framework of management is given, which allows solving the problem of a reasonable approach to the recruitment for appointment to situational positions. It is shown that based on the developed approach, reasonable and strategically correct management decisions can be made. It can be used at enterprises in the real sector of the economy when making decisions on the appointment of project managers to improve the efficiency of work to achieve the goals stated in the project as well as for educational purposes to form decision-making skills and evaluate candidates for leadership positions.

Optimizing Road Pavement Projects Through Earned Value Concepts

Every construction project faces constraints of cost, schedule, and quality that must be managed to achieve the desired objectives. This research aims to control the aspects of time and cost in construction projects by applying the Earned Value Concept and Crash Program methods. The subject of the study is the Preservation of Roads and Bridges project in Bireuen City - BTS, Lhokseumawe/Aceh Utara, Krueng Mane Buket Rata, SP. Krueng Geukeueh - PEL. Krueng Geukeueh (PEL. Lhokseumawe). The data analyzed includes the Budget Plan (RAB), project schedule, and reports on planned and actual work. This data is processed into three main indicators: BCWS, BCWP, and ACWP, which are then analyzed through Schedule Variance (SV), Cost Variance (CV), Schedule Performance Index (SPI), and Cost Performance Index (CPI). The analysis results show that during weeks 22 to 23, the project had a positive Schedule Variance (SV) (0), which then turned negative during weeks 24 to 28, with an average Schedule Performance Index (SPI) of 1.0096, indicating that project execution was ahead of schedule. Meanwhile, the Cost Variance (CV) was positive throughout the project, and the average Cost Performance Index (CPI) was 1.2118, indicating that actual costs did not exceed the budget. The application of the Crash Program method resulted in changes in heavy equipment rental costs and worker wages, from IDR 1,440,469,946.99 over 50 days to IDR 1,853,072,988.06 over 25 days, with a cost increase of IDR 412,603,041.07 and an acceleration ratio of 1.29. This research demonstrates that the Earned Value Concept and Crash Program methods are effective in controlling time and cost in construction projects, thereby helping to achieve better efficiency in project management.

Research on Collaborative Management of BIM (Building Information Modeling) in Engineering Projects

Abstract: The research on collaborative management of Building Information Modeling (BIM) in engineering projects aims to explore the application of BIM technology in construction engineering and its impact on collaborative management. BIM technology creates digital 3D models, centrally manages project information, promotes information sharing and collaboration, and improves project management efficiency. In construction projects, BIM technology can effectively solve the problems of difficult information sharing and poor information transmission, thereby making collaborative management more efficient. In addition, the application of BIM technology in the design, bidding, and construction stages can ensure the smooth transmission of information and improve the efficiency of collaborative management. Research has shown that the application of BIM technology in structural design significantly improves design quality and demonstrates its wide applicability. However, despite the significant advantages of BIM technology in collaborative management, there are still some challenges, such as trust issues and technical operational difficulties. Through in-depth research and application of BIM technology, more efficient collaborative management models can be provided for future engineering projects, promoting the development of the construction industry.

The Impact of Artificial Intelligence on Project Management Efficiency

This research paper examines the influence of Artificial Intelligence (AI) on the efficiency of project management, concentrating on the ways in which AI tools and techniques improve different facets of project management. The study initiates with a comprehensive examination of project management and the increasing significance of AI in various domains, emphasizing the shortcomings of conventional methodologies and the capacity of AI to tackle these issues. The study seeks to evaluate the impact of AI on project processes, pinpoint effective AI tools, and investigate the advantages and obstacles associated with AI integration. A thorough examination of existing literature investigates AI tools, including machine learning, natural language processing, and predictive analytics, along with their applications in planning, scheduling, resource allocation, risk management, communication, and performance monitoring. Case studies and empirical evidence illustrate the beneficial effects of AI on project outcomes, while also highlighting existing gaps in the literature that warrant further investigation. The mixed-methods approach integrates qualitative and quantitative data sourced from surveys, interviews, and case studies, employing both thematic and statistical analysis. The findings indicate that AI plays a crucial role in enhancing project efficiency through the reduction of timelines, improvement of cost control, optimization of resources, and facilitation of proactive risk management, in addition to enhancing communication and collaboration. Nonetheless, factors such as initial investment, skill requirements, resistance to change, and ethical considerations are acknowledged. The discussion outlines actionable strategies for project managers, highlighting the importance of training, incremental integration, ensuring data quality, and promoting innovation. The study concludes by offering recommendations for future research regarding the long-term effects of AI, conducting cross-industry analyses, and creating AI tools specifically designed for project management. This approach aims to provide empirical evidence and strategic insights into the integration of AI for enhanced project outcomes.

Comprehensive Review on Valuation Method for Bill of Quantities in Prefabricated Shear Wall Structures Using BIM

Prefabricated shear wall structure is widely used, it can not only meet the structural performance needs of buildings, but also greatly improve the construction efficiency of buildings. The bill of quantities valuation model has important theoretical and practical significance for optimizing the cost control of prefabricated shear wall structure and improving the efficiency of project management. From the perspective of combining theory and practice, this paper explores the bill of quantity valuation method of assembled shear wall structure under BIM environment, integrates BIM technology and SQL Sever database technology, and extracts the attribute information of model components through the secondary development of Revit with the data platform provided by BIM. The construction of bill of quantities is realized according to the specification of bill of quantities, and the association between bill of quantities and model components is established to realize the visual traceability query of bill of quantities, which provides a BIM technology-based construction engineering measurement and valuation technology and method, hoping to provide a new perspective and theoretical basis for related fields.

Research on risk management of ship maintenance projects based on multi agent swarm model simulation method

In recent years, the role of naval ship power has become increasingly prominent in regional conflicts and military operations worldwide, and the powerful capabilities demonstrated by naval forces have also been valued by countries around the world. While naval forces are frequently deployed to carry out various tasks, the intensity of equipment wear and tear on ships is also significantly increasing, posing a huge challenge to the maintenance and support capabilities of ship equipment. In the actual process of ship equipment maintenance, a series of risk factors such as cost, schedule, and quality will have a significant impact on the entire ship maintenance project, and even affect the success or failure of the entire project. This article first decomposes the project process of ship maintenance projects, further analyzes the various risk factors of ship maintenance projects based on the project decomposition situation, and then distinguishes the overall project, project process, and project risk factors to establish an intelligent agent group model for simulation analysis. Through the above simulation analysis, we will conduct in-depth research on the specific impact of project risks on ship maintenance projects, and analyze and verify the positive role and practical significance of project risk management in project risk control and project efficiency improvement. In the process of the above research content, methods and measures for risk management of ship maintenance projects are proposed, providing scientific and efficient risk management suggestions for such projects, improving the scientific management efficiency of ship maintenance projects, and contributing to the improvement of the quality and efficiency of project management.

Use of Building Information Modeling (BIM) to Improve Construction Management in the USA

The construction industry in the United States faces ongoing challenges related to cost overruns, project delays, and inefficiencies in project management. Building Information Modeling (BIM) has emerged as a transformative technology with the potential to address these issues by enhancing the precision, collaboration, and decision-making processes in construction management. This paper provides a comprehensive review of the application of BIM in the U.S. construction sector, with a focus on its impact on improving construction management practices. The review explores the specific ways in which BIM contributes to project success, including its ability to streamline workflows, reduce errors, and facilitate real-time collaboration among stakeholders. Through an in-depth analysis of current literature, this paper highlights the specialized functions of BIM that are particularly beneficial for construction management in the U.S., such as clash detection, 4D scheduling, and cost estimation. The paper also examines case studies that demonstrate the successful integration of BIM in large-scale projects across the country, showcasing tangible improvements in project outcomes, including reduced project timelines and enhanced cost efficiency. Additionally, the paper delves into the challenges associated with BIM adoption in the U.S., including the need for skilled personnel, the integration of BIM with existing project management systems, and the legal and contractual implications of BIM-based collaboration. These challenges are discussed alongside strategies for overcoming them, emphasizing the importance of training, standardization, and cross-disciplinary collaboration. The findings of this review suggest that the widespread adoption of BIM in the U.S. construction industry holds significant promise for enhancing project management efficiency, improving stakeholder communication, and ultimately contributing to more successful project outcomes. The paper concludes by proposing best practices for BIM implementation in construction management, aiming to guide industry professionals in leveraging this technology to its fullest potential.

КЫРГЫЗ РЕСПУБЛИКАСЫНДАГЫ БИШКЕК-НАРЫН-ТОРУГАРТ АВТОЖОЛУН КУРУУДА САПАТТЫ БАШКАРУУ СИСТЕМАСЫН БААЛОО

The study focuses on the quality management system during the construction of the Bishkek-Naryn-Torugart motorway in the Kyrgyz Republic. It aims to analyse key aspects of quality management, identify problematic issues and propose recommendations for improvement. The methodology includes analyses of regulatory documents, technical specifications and data collected during the monitoring of construction works. The main focus is on quality control of materials, construction techniques and compliance of completed works with standards. The analysis of data, regulatory framework and practical experience helps to identify the main problems and propose recommendations for improving quality management in road infrastructure construction. The study aims to improve the efficiency of road construction project management and ensure an increased level of quality of road infrastructure in the country. As a result, the key factors affecting the effectiveness of the quality management system in the construction of a motorway are identified. Recommendations on optimisation of quality management processes to improve the level of work performance and ensure long-term sustainability of the Bishkek-Naryn-Torugart road infrastructure in the Kyrgyz Republic are proposed.

Student Project Management System for Monitoring Undergraduate Projects (Case Study of Computer Science Department, University of Ibadan)

The Student Project Management System (SPMS) is a web-based platform designed to optimize the management of final-year projects within the Computer Science Department at the University of Ibadan. SPMS offers a range of tools and functionalities tailored to the needs of students, supervisors and coordinators involved in the project management process. Key features of SPMS include an intuitive interface, proposal submission capabilities, project tracking functionalities, feedback management tools, document organization features, and communication channels between stakeholders. These features foster seamless collaboration, enhance project visibility and streamline administrative workflows. SPMS is developed using HTML, CSS, Bootstrap, PHP, MySQL and Visual Studio Code to ensure robustness, scalability and user-friendliness. The development phases encompasses requirements analysis, system design, implementation, testing and documentation, with a focus on usability, functionality, and reliability. Practically, SPMS enhances project management efficiency within the Computer Science Department, improving project outcomes and student experiences. Keywords: SPMS, CSS, PMBOK, Projects, Students, Assessment, University, Ibadan, Nigeria Journal Reference Format: Abiola, O.A., Saheed, O.O. & Akinola, S.O.(2024): Student Project Management System for Monitoring Undergraduate Projects (Case Study of Computer Science Department, University of Ibadan). Journal of Behavioural Informatics, Digital Humanities and Development Rese Vol. 10 No. 3. Pp 47-56. https://www.isteams.net/behavioralinformaticsjournal dx.doi.org/10.22624/AIMS/BHI/V10N3P3

The effectiveness of applying the economic and technological dimensions of the kingdom of Saudi Arabia’s vision 2030 to achieve the competitive advantage of the Hail Region

This research focuses on examining the impact of Saudi Arabia’s Vision 2030 on the energy industry, specifically in the Hail region, by exploring the role of technological and economic strategies in fostering sustainable energy development. The study aims to identify key factors that facilitate the implementation of Vision 2030 to assess the current energy landscape in Saudi Arabia. By delving into the economic and technological dimensions of Vision 2030, the research seeks to determine the essential components that the Kingdom of Saudi Arabia needs to establish systems and initiatives that align with global scientific and technological advances, ensuring competitiveness and progress in the global arena. By surveying 60 faculty members from Hail University, the study employs a descriptive-analytical approach to unravel how economic activities and technological advancements collaborate to shape a sustainable and competitive energy sector. The findings highlight the crucial role of technological innovations, including advances in administrative processes, human resource management, regulatory frameworks, and technical infrastructure related to energy efficiency and renewable energy technologies. Furthermore, the study evaluates economic aspects such as labor market reforms, skill development programs, and support for emerging energy enterprises. The results underscore the positive impact of technological and economic interventions on the energy sector in the Hail region, with significant improvements in energy project management efficiency and the creation of a conducive environment for sustainable energy practices. The study reveals that the integration of technological and economic initiatives has led to notable improvements in the energy sector, reflected in average values ranging from 68% to 84%. These results underscore the fundamental role of Vision 2030 in advancing sustainable energy development and underscore the importance of leveraging economic and technological strategies to achieve energy sustainability and competitive advantage. This research contributes to understanding how Saudi Arabia’s Vision 2030 is driving progress in the energy industry and emphasizes the importance of integrating economic and technological approaches in shaping a sustainable energy landscape. The findings provide valuable information for policymakers and stakeholders in the energy sector, highlighting the need for concerted efforts to harness economic and technological advancements to promote sustainable energy development. By showcasing the transformative impact of Vision 2030 on the energy sector in the Hail region, this study underscores the originality and importance of research in advancing the goals of sustainable energy development in Saudi Arabia.

Enhancing software engineering with visual design and multimedia: An empirical and theoretical exploration

This article delves into the critical role of visual design and multimedia integration within software engineering, emphasizing their significance in enhancing user engagement, comprehension, and collaboration among stakeholders. Through a comprehensive analysis of theoretical frameworks, quantitative research findings, and practical applications, this study elucidates the benefits and challenges associated with embedding visual and multimedia elements in software systems. It presents empirical evidence from controlled studies and case analyses to demonstrate the tangible improvements in software usability, educational efficacy, and project management efficiency. Moreover, the article explores future directions, highlighting emerging technologies and methodologies that promise to further revolutionize the integration of visual design in software engineering. The findings underscore the pivotal role of visual and multimedia elements in bridging communication gaps, fostering collaborative environments, and enhancing the overall software development process.

THE IMPORTANCE OF USING SOFTWARE IN THE DEVELOPMENT OF PROFESSIONAL COMPETENCIES OF FUTURE ROAD ENGINEERS

Road engineers play a crucial role in designing, constructing, and maintaining the infrastructure that connects communities and facilitates transportation. In order to excel in this field, future road engineers must possess a combination of technical skills and interpersonal abilities known as professional competencies. One key aspect that can greatly enhance the development of these competencies is the use of software tools. This article will explore the importance of utilizing software in the education and training of future road engineers to enhance their professional competencies. By leveraging software in their learning and practice, road engineers can hone their technical abilities, improve efficiency in project management, and cultivate essential soft skills for effective collaboration and communication in the workplace. Ultimately, incorporating software into the development of professional competencies is essential for preparing future road engineers to succeed in the ever-evolving field of transportation engineering.

Time and Cost Management in Water Resources Projects Utilizing the Earned Value Method

Today, the development of infrastructure and construction projects in developing countries is of paramount importance. Water projects, in particular, play a crucial role in advancing agriculture, industry, and the economy. The success of these projects hinges on the effective management of time, cost, and quality. The most critical indicator of a project's success is its completion within the forecasted time and budget leading up to its operation. This study aims to assess the impact of Earned Value Management (EVM) 's impact on managing project schedules and budgets in water resource projects. The earned value method was employed to ascertain if the project was ahead or behind schedule and whether the costs were within the budget or had overrun. The values of the Earned Value Index were analyzed at three stages of project implementation. Examining the Schedule Variance (SV) at various phases indicates that a lower percentage is more advantageous for the project. Initially, the SV was 40%, signaling a delay mainly due to the delayed start of operations in the injection gallery and access points. This improved to 25% in the second stage, with the commencement of previously lagging activities. The schedule variance decreased to 11.6% in the final stage, aligning closer to the project schedule's end. Additionally, the Schedule Performance Index (SPI) value, which reflects the efficiency of project management in terms of timeliness, improved from a weak start of 0.6 to 0.88 (with 1.0 indicating that project performance is on target).

NAVIGATING THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT: A SCIENTOMETRIC ANALYSIS

This comprehensive literature review delves into the extensive body of research exploring the role of artificial intelligence (AI) in project management. Its primary objective is to amalgamate current knowledge while discerning prevalent trends, challenges, and advantages associated with incorporating AI into project management methodologies. The study employed bibliometric analysis using VOSViewer® software to scrutinize 246 pertinent publications sourced from the Scopus database, spanning the years 2013 to 2023. The findings from the Association Strength and Density Analysis revealed distinct clusters: Cluster 1 elucidated strong associations with terms like «construction project» «technology» «algorithm» «performance» and «time»; Cluster 2 emphasized «case stud,» «decision» and «cost»; while Cluster 3 concentrated on «literature» «industry» and «framework» Moving forward, promising areas for further exploration encompass the refinement of AI algorithms, exploration of AI’s impact on project outcomes, and the fusion of AI with emergent technologies like blockchain and the Internet of Things (IoT). This research serves as a foundational roadmap for future investigations aiming to leverage AI to enhance project management effectiveness and efficiency. Keywords: scientometric analysis, bibliometric review, project management, artificial intelligence, Machine Learning, cluster analysis, research trends.

Application of Business Information Management in Cross-border Real Estate Project Management

Cross-border real estate project management is inherently challenging due to its complexity and diversity. This study investigates the efficacy of business information management systems (BIMS) in managing such projects and employs machine learning models for performance prediction analysis. Utilizing data from 250 valid questionnaires and 15 in-depth interviews, multiple regression analysis, classification algorithms, and clustering analysis models were applied. The results indicate that system quality, information quality, and service quality significantly enhance project management efficiency and user satisfaction. Specifically, the adoption of BIMS reduces average project completion time and cost overrun rates, thereby improving management effectiveness. Commercial real estate projects reported the highest average investment at $70 million, mixed-use projects exhibited the longest average completion time of 25 months, and residential real estate projects achieved the highest management efficiency score, averaging 8.0. The regression model's coefficient of determination (R²) was 0.68, the classification model achieved an 85% accuracy in identifying risk factors, and clustering analysis categorized projects into high-efficiency management, risk-concentrated, and resource-intensive types. These findings underscore the substantial value of BIMS in cross-border real estate project management, providing robust management tools and decision support. However, the study's limitations include a small sample size and restricted data sources. Future research should aim to expand the sample size and incorporate more diverse data sources to enhance the findings' generalizability and accuracy.

Identification of Critical Success Factors (CSFS) for PPP Scheme Toll Road Projects in Indonesia

Public-Private Partnership (PPP) models represent an innovative procurement approach and offer promising prospects for the future of the construction industry worldwide. However, in practice, not all PPP projects, particularly toll road projects, succeed in achieving their goals. This poses a unique challenge in determining the Critical Success Factors (CSFs) as the basis for evaluating project success. Therefore, the aim of this research is to identify and explore the concept of CSFs for toll road projects under the PPP scheme based on reputable academic journals in the last 10 years. This study employs a sequential exploratory mixed methods methodology to identify and explore CSF indicators for PPP scheme projects and to verify and validate the findings. The re-sults of this study reveal 13 indicators crucial for project success, categorized into 8 factors. The findings of this research contribute significantly to the management of PPP toll road projects in Indonesia, serving as a reference for stakeholders in decision-making to enhance the effective-ness and efficiency of toll road project management.

To collaborate or not to collaborate: A transaction cost economics approach to construction contracts in public-private partnerships

Public-Private Partnerships (PPPs) are often seen as a cost-effective way of providing public infrastructure. However, mega-construction projects involve many hidden costs that arise during the project life cycle. These costs are known as transaction costs. This article investigates how a construction contract under a PPP can reduce transaction costs. Using Transaction Cost Economics (TCE), the article draws on empirical studies from six countries to identify four factors that affect transaction costs in construction contracts namely: (i) Concessionaire predictability, (ii) Contractor predictability, (iii) Project Management Efficiency, and (iv) Project Environment Uncertainty. Different types of construction contracts were comparatively analysed against the aforementioned four factors. The findings indicate that collaborative contracts are more likely to favourably address these four factors by lowering transaction costs compared to non-colloborative contracts. The article concludes that using collaborative contracts can make infrastructure PPPs more affordable than other public procurement methods.

Sustainable Design and Building Information Modeling of Construction Project Management towards a Circular Economy

Sustainable design and building information modeling have introduced challenges and opportunities to improve the efficiency of construction project management. The use of circular economy principles provides an opportunity to improve not only environmental indicators but also economic ones. This study addresses sustainable design and BIM in construction project management through circular economy principles. It aims to analyze the impact of using building information modeling on sustainability indicators measured through costs. For research purposes, the basic parameters of sustainability in the construction industry were defined as recycling rate and reductions in waste and CO2. The research questionnaire sample consisted of 199 respondents from Slovakia, Slovenia, and Croatia. Data were processed and evaluated through descriptive statistics, and then tests were used for data distribution. Statistical significance was determined through ANOVA and Kruskal–Wallis tests. Pearson’s correlation analysis was used for data processing. The trends in the research results suggest that sustainable design can be achieved using building information modeling. They also pointed to an impact on sustainability through increasing the recycling rate and reducing the amount of waste. Although these results indicated a trend, this was not confirmed by the statistical significance tests.

Power-Carbon Information Management System Based on Machine Learning

With the deepening reform of the power market and carbon market, great progress has been made in informatization. Power information may be stored in many scattered places, and it is difficult to share data between different departments or systems. This leads to fragmentation and redundancy of information and makes information exchange difficult. Blockchain can improve the reliability of Power-Carbon Management System (briefly described as PCMS for convenience) data processing. PCMS informatization has become the basis for improving the quality and efficiency of project management and maximizing the environmental and economic benefits of the project. Because the power information management system can effectively control the flow of information and resource allocation. Due to the requirement of low-carbon and stable power production, PCMS attaches great importance to the application and implementation of information in power management, but does not attach enough importance to the informatization of power production management. Therefore, this paper analyzed the current situation, characteristics and existing problems of PCMS through machine learning algorithm, then constructed the design principles, and finally proposed the optimization path of PCMS according to the principles. The information collection ability and system control ability of the optimized PCMS were better than the original PCMS. The information collection ability was 14.2% higher than the original, and the system control ability was 9.8% higher than the original. In general, both blockchain and machine learning can improve the data reliability of PCMS.

CONCEPTUALIZING COMMUNICATION EFFICIENCY IN ENERGY SECTOR PROJECT MANAGEMENT: THE ROLE OF DIGITAL TOOLS AND AGILE PRACTICES

This conceptual paper explores how digital tools and agile practices can enhance communication efficiency in energy sector project management. It posits that the integration of technology such as project management software, real-time data sharing platforms, and agile methodologies can significantly streamline communication, ensuring more responsive and adaptable project management. The paper develops a conceptual framework that outlines the interactions between these technologies and project management practices, suggesting pathways for implementation and potential impacts on project success. The paper will use a conceptual analysis approach, drawing on existing theories and models from the fields of information technology, agile methodologies, and project management. It will build on these foundations to propose a novel framework, illustrated with hypothetical scenarios and potential outcomes. The paper is designed to contribute to the academic discussion by not only reviewing existing knowledge but also by proposing new conceptual frameworks that can guide future research and practice in the management of energy projects, particularly focusing on the critical aspect of communication. Keywords: Communication Efficiency, Energy Sector, Project Management, Digital Tools, Agile Practices.