derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Study on the application of construction project cost control in China
Authors: Bangguo Wang
Year: 2023

Project cost control is a hot issue in construction enterprise management and a key factor to determine the return on project investment. With the continuous summary of modern project management experience, systematic, comprehensive and dynamic management methods and ideas gradually began to be adopted. As a controllable system, cost system is the key to determine the market competitiveness of construction enterprises. This paper combines qualitative research with quantitative research, normative research with empirical research, theoretical research with practical research, and makes comprehensive use of previous research results to provide guidance for the practical operation of cost control in construction enterprises. Firstly, it introduces the important factors affecting the cost and the background and purpose of the project cost control, and then analyzes the object and content of the project cost control and analysis. Finally, the phenomenon of "three super" and the deviation of the project cost are analyzedd and discussed. It is of great practical significance to study project cost control for promoting the reform of investment system and improving market competitiveness of construction enterprises.
New entrepreneurial behaviour of public research organisations: opportunities and threats of technological services supply
Authors: M. Coccia; S. Rolfo
Year: 2010

Public research labs play a fundamental role in modern economies to increase, through knowledge and technology transfer, the economic growth of countries. The paper analyses new organisation of the biggest public research body in Italy, based on project management, designed with an explicit aim to transform this research institution in entrepreneurial organisation, providing technological services and applied research to external subjects such as firms, public administration, etc. New matrix structure of the public research organisation – technological services-oriented – creates structural deficiencies, coordination problems, as well as problems of defining the extent of the project manager's authority over staff from other departments. In addition this new structure has been decreasing scientific production of institutes which reduces the efficiency of overall national system of innovation.
Comparative Study on Steel Structure Auditorium Estimation
Authors: Sujith P; Surya Prakash R; Venkatesh Prasath K; Anish A; Dr.K.Thirumalai Raja
Year: 2023

Construction cost estimation is a critical aspect of project management in the construction industry. Accurate estimation of construction costs, material costs, and labour costs is essential for effective project planning, budgeting, and resource allocation. With the advancement of technology, various software options are available to assist in construction cost estimation, offering different features, advantages, and limitations. In this project report, we have compared different software methods for construction cost estimation, including Microsoft Excel, Estimator 2.0, Primavera P6, and Construction Calculator mobile apps. The report provides an overview of these software options, highlighting their advantages and disadvantages in terms of accuracy, flexibility, efficiency, transparency, customization, collaboration, reporting capabilities, scalability, historical data tracking, user-friendliness, automation, cost-effectiveness, and compatibility. The report also discusses the strengths and limitations of each software option, including potential errors, learning curve, cost of licenses, customization options, updates and maintenance requirements, integration limitations, and platform compatibility. The report concludes by emphasizing the importance of carefully considering the specific needs and requirements of the project and the expertise of the team members when selecting the most suitable software for construction cost estimation.
Time in Focus: The Strategic Application of Impacted As-Planned Method of Delay Analysis in Construction Dispute Resolution
Authors: Shubham Singh; Chitesh Thakre
Year: 2024


 Effective delay analysis is paramount in construction and project management to understand the impacts of unforeseen setbacks on project schedules. Delay analysis serves as a vital tool for resolving disputes among project stakeholders, such as contractors, owners, subcontractors, etc. It helps to establish accountability and liability for delays by providing an objective and systematic assessment of the causes and impact of delays. Delay analysis enables parties to determine whether delays were excusable or non-excusable, whether they resulted from unforeseeable circumstances or were within the control of the responsible party. It also assists in evaluating the extent of delay-related damages, facilitating fair and equitable settlements or, if necessary, serving as evidence in legal proceedings. In essence, delay analysis serves as a key component in achieving a transparent and fact-based resolution of disputes, saving time and resources while promoting fair and just outcomes for all parties involved in construction projects. There are a few methods suggested by SCL-UK Delay and Disruption Protocol 2017 and AACE 29R-03 Protocol for performing delay analysis (such as Impacted As-Planned (IAP) method, Time Impact Analysis, As-planned v. As-built analysis, collapse as built analysis, etc.). This paper delves into the ‘IAP’ method (also known as MIP 3.6, Ref. AACE 29R-03), a powerful technique that offers a comprehensive perspective on delay effects within project timelines. The paper commences by interpreting the background and methodology of the ‘Impacted As-Planned (IAP)/MIP-3.6’ approach, detailing its uniqueness in comparison to other delay analysis techniques. By outlining the step-by-step process, the paper throws light on the calculations and considerations that underpin the method. It then examines the advantages, legal validity, highlighting the method’s ability to accurately illustrate project progression amid delays and complexities. Conversely, the paper examines potential limitations and challenges, shedding light on scenarios where the method might warrant careful interpretation. Real-world case studies further augment the paper’s insights, showcasing instances where the ‘IAP’ method can be successfully applied to make project decisions. The paper also discusses the practical implementation considerations, limitations of IAP, encompassing data requirements, software tools, and best practices for a reliable analysis.
Management of Human Resources and Quality in Materials Supply Process in Construction Projects
Authors: V. Z. Pancovska; Biljana Blaževska-Stoilkovska; T. Hanák
Year: 2016

Construction projects participants were surveyed to assess how coordination and communication among stakeholders and quality control in building materials supply process were managed, as well as to evaluate their satisfaction with the structures quality. It was found that the participants’ role and working experience had a statistically significant interaction effect on satisfaction with the structures quality, but their effect on perceived coordination and communication among stakeholders and materials’ quality control wasn’t statistically significant. The results were discussed in light of their importance for effective construction project management from the aspect of human resources, building materials quality and satisfaction with the quality of structures.
Quantitative and Qualitative Benefits of Using BIM in Design and Construction Stages for Railway Development
Authors: Jianfeng Liao; Hwan-Yong Kim; M. Shin
Year: 2025

As railway infrastructure projects become increasingly complex, the potential of Building Information Modeling (BIM) technology to enhance project efficiency and management has garnered significant attention. This paper analyzes the quantitative and qualitative benefits of BIM in the design and construction stages of railway development projects through case studies and compares its effectiveness in these two phases. The results indicate that BIM primarily benefits the design stage by reducing design errors and optimizing processes to save costs and time, averaging cost savings of USD 41,000 and a reduction of 49 days in project duration. In the construction stage, the impact of BIM is even more pronounced, reflected in reduced rework, dynamic resource management, and shortened project timelines, leading to savings of USD 710,795 and a reduction of 89 to 104.5 days in project duration. The 3D modeling and real-time information-sharing capabilities of BIM significantly enhance cross-departmental collaboration efficiency and information transparency, minimizing rework caused by communication issues and greatly optimizing project management and execution. This study shows that BIM can lay the groundwork for construction during the design phase and further improve project management efficiency during the construction phase.
Forensic Project Management: An Exploratory Examination of the Causal Behavior of Design-Induced Rework
Authors: P. Love; D. Edwards; Z. Irani
Year: 2008

The determination as to why projects fail to meet planned schedule, cost, and quality parameters is a leitmotiv within the construction, engineering, and project management literature. Yet, the interrelatedness and behavior of key factors that influence these project performance indicators, particularly regarding design-error-induced rework, have received limited academic examination. Design-induced rework has been reported to contribute more than 70% of the total amount of rework experienced in construction and engineering projects. To address this situation, a forensic management approach to determining how and why rework occurred in a commercial construction project is undertaken. Using findings from this case study along with knowledge from the literature, a systemic causal model for design-error-induced rework is developed. Underlying behavioral dynamics that contributed to design errors (principally related to the management of the design documentation process) were modeled and simulated using system dynamics. The results of such an analysis yield insights about architectural and engineering professionalspsila decision-making and work practices that can influence the occurrence of design errors. The mitigation of design-induced errors would significantly reduce the amount of rework that architectural and engineering firms experience. This would bring with it greater profitability for such firms and improved project performance parameters (schedule, cost, and quality).
Internal challenge to clinical trial project management: strategies for managing investigator compliance
Authors: Hongbo Cao; H. Shang; Wei-qiang Mu; J. Zhai; Ya-zhu Hou; Hui Wang
Year: 2013

Managing compliance in a clinical research, especially in a multi‐centre randomized clinical trial (MRCT) is vital. We now feel the need to take a look at the once overlooked area of investigator compliance as it may provide resources necessary for producing satisfactory trial outcomes.
Combining Open Innovation and Agile Approaches: Implications for IS Project Managers
Authors: Kieran Conboy; L. Morgan
Year: 2010

This paper describes a research-in-progress that explores the applicability and implications of open innovation in a multiple-project environment that employs agile approaches to information systems development. In doing so, it seeks to reveal any resemblance the open innovation model has with the agile process, while simultaneously investigating the challenges of such an approach for project management. This paper argues for a different perspective of project management that goes beyond single and multiple project management to scrutinise the open space of innovation that includes collaboration and knowledge-sharing with other business units, customers, partners, competitors and other relevant stakeholders outside the boundaries of the firm.
SHARDA–ARAS: A Methodology for Prioritising Project Managers in Sustainable Development
Authors: Zenonas Turskis; Violeta Keršulienė
Year: 2024

In sustainable economic development, top-level human capital, especially project management, is paramount. This article integrates the Systematic Hierarchical Attribute Ratio Delphic Rating (SHARDA) method and the Additive Ratio Rating (ARAS) method as a robust framework for identifying and training project managers. The research draws on a diverse panel of experts against the United Nations Sustainable Development Goals (SDGs) backdrop, emphasising stakeholder engagement and transparency in the decision-making processes. This study investigates the complexity of multi-criteria decision-making (MCDM) methods and focuses on SWARA and ARAS methods. These methodologies comprehensively improve the decision-making process, considering a range of subjective criteria. The extended and modified hierarchical SWARA method helps us understand each measure’s importance, while the ARAS method simplifies ranking and selection based on performance ratios. The research methodology seamlessly integrates these methods to form the SHARDA–ARAS methodology that addresses the challenging task of selecting project managers for sustainable development. This methodology guarantees a systematic and inclusive decision-making process, incorporating stakeholder perspectives seamlessly aligned with global sustainability goals. The studio’s innovation is wrapped in the synthesis of SWARA and ARAS into the SHARDA–ARAS methodology, presenting a nuanced and effective tool for project manager selection. Promoting an interconnected and holistic approach that contributes to sustainable development emphasises the methodology’s ability to balance economic, environmental, and social aspects. Thus, the article provides an invaluable method for organisations seeking global sustainable economic development.
CsPI: A New Way to Evaluate Cybersecurity Investments: A Position Paper
Authors: S. Fowler; Peter P. Chen
Year: 2017

This position paper proposes CsPI (Cybersecurity Performance Index) as a new way to evaluate the cyber security investment decisions and measure the progresses and effects of the investments and projects. In a conventional way, cyber security budgets are usually evaluated by the return on investment (ROI), which has some undesirable side effects. Since we don't ask for return on investment for other similar expenses (like IT or capital), why should we use ROI for cybersecurity? Here, we propose to adopt a well-established technique in the project management field called "earned value" to the field of cyber security. Specifically, what we propose is to measure the progress of cybersecurity expenses against a plan. The plan should include protection, detect, respond, recover goals that cybersecurity expenses (people, process, technology) attempt to meet – and this has to take into account business objectives and threat/vulnerabilities. Similar to the "Cost Performance Index" or "Schedule Performance Index" in Earned Value, we can define "Cybersecurity Performance Index" (CsPI). The main idea is to show how well current cybersecurity expenses are performing against a plan. At the end, future research directions are presented.
The practical method of motivating students to iterative software development
Authors: Ondrej Macek; M. Komarek
Year: 2011

Iteration-based software development is a popular and widely used software development approach. Therefore students have to get familiar with it; however it is difficult for them to work iteratively. We designed new courses aimed at software development in a way in which students are forced to use incremental and iterative development instead of the waterfall model. The new project-oriented courses focus on project management (regular planning and reporting) and emphasize students' motivation toward project success.
Software Process Self-Assessment Methodology
Authors: S. Grceva
Year: 2012

Controlling and improving the process used to develop and maintain a software product has been widely proposed as a primary answer to the poor quality and non-conforming software products. The ultimate goal of those efforts is to create a continuous SPI (Software Process Improvement) space. Once the organization is committed to begin the SPI effort, the first step is an assessment of the current process and the current capability of the organization to develop and maintain quality software. In this paper, the author presents a methodology for continuous software process self-assessment, developed, tested and successfully applied in several companies in Macedonia. The methodology, using the SW-CMM (Software Capability Maturity Model) as a referent model, is unique in: Development of a suitably structured Database of Documents covering nearly every practice used by the actual software process. The documents are grouped according to aspects of development, quality assurance, configuration management and project management. The database provides software input to the referent model. Formalization of the complex structure of the referent model SW-CMM, enabling statistical evaluation of the practices used versus baselines of the model, starting from the bottom up to the Levels of Maturity. For that purpose a software tool has been created and applied. There are very few methodologies and techniques, which include processes, modeling and documentation in a single package (Curtis et al. 1992). The main finding of this study is that an efficient, easy to use, sustainable and objective self-assessment and consequently self-improvement process should involve significant, well-designed initial efforts. This paper presents the methodology itself and reports our experiences in developing and conducting a selfassessment process that follows such a systematic approach.
Goal Assessment Decision Judgements in is/IT Projects
Authors: U. Ojiako
Year: 2016

This development paper sets out proposals to examine how project management practitioners articulate their decision judgements (project goal assessment) of failure of information systems and information technology (IS/IT) projects. It is intended that to undertake the study, data from interviews with practitioners from seven countries will be employed. Data analysis will undertaken utilising NVivo (V10). The study is likely to find that while some project management practitioners perceive IS/IT project failures as measureable along a goal assessment continuum, others may consider failure categorically by explicitly conceptualising either its presence or absence.
An Investigation of Factors Influencing Construction Project Planning in South Sudan’s Public Road Projects
Authors: Teng Athian; J. Okaka; T. Kivaa
Year: 2025

Purpose: The purpose of this study is to investigate the factors influencing project planning in public road projects in South Sudan. It aims to identify key challenges and opportunities, contributing to the development of more effective planning practices to enhance infrastructure development and support economic growth. 
Materials and Methods: A descriptive research design was employed, incorporating both qualitative and quantitative approaches. Primary data were collected through structured questionnaires targeting professionals in public road projects across South Sudan. Secondary data were gathered from existing literature and official reports. Data analysis utilized the Relative Importance Index (RII) to rank factors influencing project planning. 
Findings: The study identifies intergovernmental factors, resource availability, technological infrastructure, and project-specific characteristics as critical determinants of project planning adequacy. It reveals significant gaps in defining project objectives, realistic scheduling, cost estimation, and risk management. The findings underscore the need for enhanced intergovernmental coordination, investment in skilled labor, and adoption of advanced project management tools to address planning deficiencies. 
Implications to Theory, Practice and Policy: The research builds on institutional and contingency theories, highlighting the interplay of environmental, organizational, and contextual factors in planning outcomes. For practitioners, it provides actionable insights to improve project planning practices. For policymakers, the study recommends strengthening governance frameworks, standardizing processes, and fostering transparency in planning and implementation.
The risk assessment of public-private partnership projects using artificial intelligence algorithms
Authors: S. G. Sternik; E. Tyutyukina; A. Pomulev
Year: 2024

Purpose: is to develop an innovative approach to risk management in public-private partnership (PPP) projects using advanced artificial intelligence technologies that allow creating the risk assessment model that takes into account non-linear relationships between various risk factors.Methods: in addition to traditional methods of scientific knowledge, interdisciplinary approaches of risk management and established practice of machine learning were used in the work. The methodological basis of the study was formed by works on the risk assessment and the application of AI algorithms in this area. The empirical basis of the study was the data of the official portal of ROSINFRA on public-private partnership projects.Results: the practice of applying AI algorithms to the task of assessing the risks of PPP-projects in Russia and abroad was studied. It is established that the most effective result is shown by the models based on Random-Forest-Classifier. However, the presented solutions do not take into account Russian economic realities. The authors have structured a database of implemented PPP-projects suitable for risk modeling. The model for assessing the risk of failure to achieve the objectives of Russian PPP-projects has been developed and its quality has been assessed. Recommendations on implementation of the model in the operational loop of PPP projects realization processes are offered.Conclusions and Relevance: the developed model allows, according to the general parameters of PPP project (region, authority, term of agreement, industry and scope of implementation, etc.) with the accuracy of 93% (according to the ROC\AUC metric), to assess the risk that the project will end incorrectly (due to a failed tender, refusal to launch, termination by court decision, cancellation/annulment of the tender). With the help of the model the executive authorities of the Russian Federation can build risk management for PPP projects management in the regions and thus contribute to their efficiency improvement. The article may also become useful for project management practitioners and appraisers.
TECHNOLOGICAL TOOLS IN THE FRAMEWORK OF TEAM MANAGEMENT: MODERN SOLUTIONS FOR INCREASING PRODUCTIVITY
Authors: A. Krivtsov; Mikhail S. Gromov
Year: 2024

Technological tools play an important role in team management, as they have a significant impact not only on productivity, but also on the efficiency of all business processes. Each organization first of all needs to find new improved solutions to optimize processes in a rapidly changing environment. The relevance of the topic of technological tools within the framework of team management for the growth of productivity indicators is due to the constant development of these technologies, in which the need for effective team management prevails. The main goal of this study is to identify current trends in the field of technological tools within the framework of team management for subsequent use in practice during the implementation of suitable technological solutions to improve the productivity of processes in the organization. The scientific novelty of this study lies in the development of a new project management model within the framework of digital business transformation for the further successful implementation of digital management in activities. Consequently, the practical value of the study lies in identifying all effective tools for implementation in an existing organization.