Project Management Process Research Articles

Enhancing IT Hybrid Projects in The Directorate General Of Customs And Excise of Indonesia: An Improvement Process

The Directorate General of Customs and Excise (DJBC) confronts mounting challenges due to the expanding international trade. To address this issue, an optimal software solution is required for efficient service provision and supervision of transactions. However, the completion of IS projects faces significant delays, with only 25% reaching completion despite the immediate need for a reliable system. These delays stem from various problems encountered during project execution. This research employs the Kerzner Project Management Maturity Model to assess the IS project management maturity level at DJBC and categorise the identified problems. Subsequently, solutions extracted from PMBOK 7 are mapped to address these issues. Findings indicate an average maturity score of 390, falling short of the target of 600 required for level 1 maturity. Additionally, 13 problems have been identified and linked to solutions within the seven standards/domains of PMBOK 7. The research presents two strategic goals: improving project management processes and enhancing client satisfaction, assessed using seven measurement indicators. This study offers valuable insights for DJBC to address project management challenges, enhance maturity levels, and achieve desired outcomes.

Рrоjeсt Management Рrосess and Рerfоrmаnсe of Feeder Rоаds Соnstruсtiоn Рrоjeсts in Rwаndа

This reseаrсh exаmined the influenсe оf рrоjeсt mаnаgement рrосess оn рerfоrmаnсe оf feeder rоаds соnstruсtiоn рrоjeсts in Rwаndа. Feeder rоаds соnstruсtiоn рrоjeсts exрerienсe сhаllenges thаt hаmрer them frоm being effeсtively соmрleted within the аllосаted budget, timelines аnd tо the desired quаlity. This study sрeсifiсаlly investigаted hоw рrоjeсt initiаtiоn, рrоjeсt рlаnning, рrоjeсt implementation аnd рrоjeсt mоnitоring аnd соntrоl influenсe the рerfоrmаnсe оf feeder rоаds соnstruсtiоn рrоjeсts. The study was соnduсted in аll the 10 Distriсts feeder rоаds соnstruсtiоn рrоjeсts in Rwаndа. These feeder rоаds рrоjeсts аre аt vаriоus stаges оf соmрletiоn. The number оf seleсted resроndents was 84 respondents from all 84 employees аnd cencus was used from which 77 responses were received. The study used desсriрtive reseаrсh designs аnd аррlying questiоnnаire in соlleсtiоn оf dаtа. Thrоugh quаntitаtive аnаlysis, the study fоund оut that рrоjeсt initiаtiоn, рrоjeсt рlаnning, рrоjeсt exeсutiоn аnd рrоjeсt mоnitоring аnd соntrоl hаve а significant relаtiоnshiр with feeder roads рrоjeсts рerfоrmаnсe. Moreover, it was estаblished оut аt whiсh extent thоse рrоjeсt mаnаgement рrосess рhаses аre being аrrаnged in the feeder rоаd рrоjeсts under study. The study emрlоyed multiрle lineаr regressiоn mоdel fоr dаtа аnаlysis аnd it соnсluded that рrоjeсt mаnаgement рrосess рhаses influenсed the рerfоrmаnсe оf feeder rоаds соnstruсtiоn рrоjeсts. The R-squared (R2) equals to 0.880 (or 88.8%) and adjusted R-squared equals to 0.873 (or 87.3%); the results show the goodness of fit of the estimated model. Up to 88.8% of long-run appreciation in performance is influenced by changes in project initiation process; project planning process; project implementation process and project monitoring & control process as implemented by FRCP. The other remaining 11.2% can be explained by other factors not examined in this study. The results of ANOVA as p-value is less than 5%, this specifies that the performance of FRCP was significantly driven by at least one independent variable under this study. Therefore, the calculated F-value equals to 131.960 and this is greater than critical F-Value which is 2.499. Consequently, the general regression model is significant. Оverаll соnсlusiоns аnd reсоmmendаtiоns were shарed in оrder tо helр рrоjeсt mаnаgers, оrgаnizаtiоns, аnd future reseаrсhers. Keywords: Project Management Process, Construction Project, Project Performance, Feeder Rоаds Соnstruсtiоn Рrоjeсts Rwanda.

Organisational Change as A Project Management Process, Using the PMI Approach

It can be argued (Todnem,2005) that the successful management of change is crucial to any Organisation/ project to survive, be developed and succeed in the current competitive and continuously evolving business environment. However, theories and approaches to change management currently available are often contradictory, mostly lacking empirical evidence and supported by unchallenged hypotheses concerning the nature of organisational change management. The purpose of this article is, therefore, to provide a review of some of the main theories and approaches to organisational change management as an important first step towards constructing a new framework for managing change. Having as fundamental basis the Change theories and the principle of project management compose a change process based on project management principle and steps. The purpose of this article is, therefore, to provide a review of theories and approaches currently available in a bid to encourage further research into the nature of organisational change with the aim of constructing a new and realistic framework for the management of it. This article will concentrate on the main characteristics of change the relative theories, the commons between the project management process and change and proposed a project management way facing any organisational change. The article concludes with recommendations for further research.

Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning

The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.

Measuring the Performance of Information Systems Project Managers: Indicators and Metrics

Measuring performance is a process used in the domain of project management and quality processes to determine and communicate status and accomplishments measured against specific objectives, schedules, and milestones. This paper is concerned with the calculation of performance indicators of Information Systems Project Management (ISPM). It clarifies the relationships between ISPM domains, performance metrics, and performance indicators. This paper presents a proposed list of metrics for ISPM. Based on these ISPM metrics and a combination of statistical techniques, we built a model for calculating ISPM performance indicators. The quality reviewers can use this model to evaluate and track the performance of IS project managers.

Model-based project management using artificial intelligence tools

Subject. The article addresses project management issues. Objectives. The aim is to reveal the main directions of development of the theory and practice of model-based project management, using artificial intelligence tools. Methods. The study rests on the methodology of systems analysis and process-oriented approach, employs methods of modeling and comparative analysis. Results. We define the current technology of decision-making to minimize risk, describe ideas of creating a decision support system with elements of artificial intelligence, present an experiment on implementing a model of operational monitoring of risk objects at the stage of documentary customs control. The paper identifies expedient priority organizational solutions in the customs risk management system, provides proposals on the structure of the customs risk service, describes the concept of hybrid intelligence, implemented on the basis of a neural network, to be integrated in the process of collective decision-making. We present artificial intelligence technologies used in the practice of project management, disclose their advantages and disadvantages. Conclusions. The decision-making process is described as a process of structuring the vision of strategic perspective by the head and/or experts, the formation and adaptation of knowledge to real conditions of customs construction, or as a process of project management. The paper introduces the concept and reveals the technology of collective work of experts (technology of expert-analytical modeling) during the formulation of problems and preparation of managerial, methodological, technological, and other solutions. Within the technology, a multi-valued logic of phased transformation of experts' vision into a new system of customs organization, with a step-by-step assessment of generated situational alternatives is built on the formed set of conditions.

THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING THE EFFICIENCY AND QUALITY OF INVESTMENT PROJECTS

Artificial intelligence (AI) is a modern technology that has transformed the management of investment projects. Artificial intelligence offers a wide range of opportunities to improve the efficiency and quality of investment projects in a variety of ways, including data analysis, and the ability to process vast amounts of data that enables artificial intelligence to effectively analyze historical and current data. This helps to make more accurate decisions and a deeper understanding of potential trends and challenges, improving planning helps artificial intelligence to improve planning processes and identify potential risks. Using smart forecasting models, investors can estimate different impacts and identify optimal scenarios for maximizing returns on investment and improving project management. Artificial intelligence can improve project management processes by predicting and identifying potential problems early, allowing immediate corrective action, and avoiding unforeseen delays. Improved decision-making contributes to improved decision-making capacity by providing thorough analysis and comprehensive reports. This supports investors and leaders in making informed decisions based on accurate and prompt information.

DATA MINING AND BUSINESS INTELLIGENCE IN MANAGING THE BUSINESS PROCESSES OF THE PROJECT OFFICE OF AN OUTSOURCING COMPANY

The article carries out a comprehensive study of the possibilities of applying modern business analytics and intelligent data analysis methods to optimize project management processes in the conditions of an outsourcing IT company. The work justifies the relevance of the problem associated with the avalanche-like growth of data volumes during the implementation of IT projects and the possibilities of innovative technologies for their intellectual analysis to identify hidden patterns. Scientific works of leading experts in project management and informatization have been critically analyzed, but a lack of comprehensive studies regarding data analysis specifically for project offices was noted. To achieve the research goal, a thorough analysis of the essence and possibilities of business analytics and intelligent data analysis was carried out, their role in managing modern organizations was examined in detail, and the scientific advantages of implementation in project offices of outsourcing companies were justified. The study of the practical use of business analytics and intelligent data analysis tools to solve the specific task of searching for new projects in the marketing activities of the IT outsourcing company was conducted. Effective methods of data collection, processing, and analysis concerning clients, market, competitors, communication channels, etc., were thoroughly analyzed. Thus, the article carries out a comprehensive study of the theoretical foundations and applied aspects of using advanced business analytics and intelligent data analysis tools with the aim of improving and optimizing the marketing activities of the modern project office of an outsourcing IT company by making timely well-founded managerial decisions based on deep analysis of available data sets.

Strategic Project Management of the Socio-Ecological Development of the Arctic Zone of the Russian Federation

The article analyzes the processes of project management in the implementation of social and environmental programs in the Arctic zone of the Russian Federation. Current regulatory and legal acts aimed at ensuring the development of the Arctic zone are considered. The problems of rational environmental management, development of territories with minimal negative impact on the state of the environment and taking into account the environmental situation in the region is identified. State programs for support and assistance to people living and working in the regions of the Arctic zone of the Russian Federation, aimed at economic support, development of a personnel reserve and health preservation, and environmental projects, are analyzed and presented. The priority importance of social and environmental projects to develop infrastructure, improve the quality of life of the population and preserve the primary ecosystem is noted. The use of methods for calculating environmental safety indices and urban environment quality indices of the Ministry of Construction of the Russian Federation when ranking the subjects of the Arctic zone made it possible to identify the most problematic areas in ensuring the quality of life, and, accordingly, priority areas for the development and implementation of strategic projects. The importance of strategic programs and projects to reduce the level of pollutants, to increase the population’s supply of high-quality drinking water in cities and to improve the quality of the urban environment is emphasized to improve the quality of life of residents of the cities of the Arctic region.

Intangible resources as the basis of intelligent support in effective decision-making at all life-cycle stages of an investment and construction project

Improving approaches to the management of an investment and construction project at all stages of its life cycle, including justification of investments, engineering surveys, architectural construction and organisational-technological design, construction, operation, decommissioning, demolition and disposal of the facility, including in conditions of uncertainty and risks, represents a key strategic direction for the development of enterprises. The problem of improving the efficiency of managing the company intangible assets appears relevant, since the efficiency of decisions, in particular, and the efficiency of the enterprise as a whole, largely depends on its solution. The study used methods of a system analysis, statistical-comparative and economic-mathematical methods, as well as the methods of economic and statistical analysis of indicators, characterising intangible assets, including the ranking method. The authors studied the life cycle features of an investment and construction project for enterprises of the mining and processing complex. The stage phases of the investment and construction project, linked to the specifics of the Far Eastern mining industry, are considered. The need for a detailed structuring of life cycle phases and stages for an investment and construction project for a digital intelligent support of effective decision-making, as well as for a use of the potential of intangible resources of performers, is substantiated. In this paper, the developing Soyuznoye graphite deposit (Dalgrafit LLC) is used to design a sequence of processes and procedures for the implementation of the considered project. Based on the existing potential of enterprise intangible resources, management measures are proposed aimed at improving project management processes with the possibility of digitalising individual business processes of the enterprise.

МОДЕЛЮВАННЯ ЗАДАЧ ОПТИМІЗАЦІЇ УПРАВЛІННЯ ІТ-ПРОЕКТАМИ

Abstract. The article focuses on exploring mathematical models for optimizing business processes in project management within IT companies in the context of contemporary trends and challenges. Project management involves the process of guiding and coordinating people's activities, as well as managing material and financial resources throughout the project's lifecycle. This process encompasses applying modern management methods and techniques to achieve project goals. The dynamic allocation modeling of IT projects among teams to ensure high-quality development at maximum efficiency with minimal costs is a pertinent task in IT project management. The article's objective is to select a mathematical framework for decision-making regarding the optimal IT project management program to enhance the efficiency of each IT team and the entire IT company. The research involved an analysis of scientific literature on modeling project management in IT companies. The article proposes focusing on developing dynamic multi-criteria optimization models for human resource management, emphasizing the distribution of IT projects among executing teams. The research aims to elevate the strategic and operational levels of IT personnel management to achieve optimal outcomes in information technology. The analysis concludes that despite the advantages of various mathematical modeling methods, none of them in isolation allows for constructing a sufficiently detailed mathematical model. Methods and models addressing IT enterprise modeling problems may oversimplify the issue or, conversely, overly complicate it, complicating the selection of input data. The functioning of the IT enterprise was analyzed through the lens of external and internal indicators concerning the solved task. A verbal model of IT project distribution among teams, considering the time factor, was developed. This model formulated a system of basic concepts and ideas, allowing the dynamic formulation of the problem using widely accepted linear optimization models. This will facilitate finding optimal solutions for IT project distribution tasks over a specific period. Future research should focus on selecting a solution method for the model and implementing the constructed mathematical model using appropriate tools. The research findings presented can serve as a basis for further academic exploration and practical application in the field of IT project management. Keywords: modeling, optimization, business processes, project management, labor resources, IT projects.

Automatic Train Operation and Project Management: A Scoping Review

As the demand for enhanced railway services continues to rise, the imperative to upgrade and modernize the rail infrastructures becomes unavoidable. Automatic Train Operation (ATO) holds the potential to revolutionize railway systems by improving efficiency, safety, sustainability and operational performance. However, limited research has focused on understanding the implications of ATO implementation on project management processes. This paper thus presents an ongoing scoping review that aims to investigate the impact of ATO on project management in the railway industry. The review’s methodology includes a comprehensive search strategy criteria for study selection, and data extraction procedures. The anticipated findings will contribute to bridging the gap regarding the intersection of ATO and project management in the railway industry. By understanding the impacts and challenges associated with ATO implementation, stakeholders can better manage projects involving ATO technology and promote its successful integration into railway systems, fostering advancements in the field.

Integration of Building Information Modeling and Project Management Process

The construction industry has witnessed significant technological advancements in recent years, with Building Information Modelling (BIM) emerging as a pivotal innovation. BIM's integration with Project Management (PM) is recognized as a transformative approach that can potentially enhance efficiency, accuracy, and collaboration within the Architecture, Engineering, and Construction (AEC) industry. This paper explores the integration of BIM and PM, focusing on identifying the challenges and benefits inherent in this convergence. The primary aim is to understand how the synergistic use of BIM and PM can be optimized to improve project outcomes in the construction sector. As the industry evolves, understanding these dynamics becomes crucial for stakeholders aiming to leverage technological advancements for optimal project delivery. The research problem central to this study stems from the observed gaps and challenges in effectively integrating BIM with PM practices. While BIM offers a multidimensional, collaborative framework for construction projects, its full potential is often unrealized due to various implementation challenges. These challenges include technical issues, lack of standardization, and resistance to change within organizational cultures. Recognizing the importance of this integration, the study sets out to answer key research questions revolving around the current state of BIM and PM integration, the main challenges faced, and the potential strategies for effective implementation. The objectives include a detailed analysis of the current practices in BIM implementation, identification of the barriers to effective integration, and proposing a framework that can enhance the synergy between BIM and PM. The methodology employed in this research involves a comprehensive literature review, followed by a survey-based approach to gather data from industry professionals. This data provides insights into the practical aspects of BIM and PM integration and helps in identifying the key factors that influence project success in the context of this integration. This paper contributes to the existing body of knowledge by providing a nuanced understanding of the complexities and potential of integrating BIM and PM. It aims to offer a strategic framework that can guide practitioners and stakeholders in effectively navigating the challenges and leveraging the benefits of this integration for enhanced project performance in the AEC industry.

The Erosion of Competencies in Managing Innovation Projects due to the Impact of Ubiquitous Artificial Intelligence Systems

The rapid advancement of artificial intelligence (AI) systems has had a profound impact on various aspects of business and technology. One area greatly influenced by AI is innovation project management, which plays a critical role in driving organizational growth and success. The purpose of the paper examines the erosion of competencies in innovation project management as a consequence of the increasing reliance on AI systems. The object is innovation project management relying on the expertise, experience, and decision-making capabilities of human managers. However, the introduction of AI systems in project management processes has brought about significant changes. AI-powered tools and algorithms can automate tasks, analyse vast amounts of data, and provide valuable insights and recommendations. While this presents numerous benefits, it also raises concerns about the diminishing role of human competencies in managing innovation projects. AI systems require vast amounts of training data to operate effectively. In the process, they might overlook or undervalue the tacit knowledge and domain expertise possessed by human project managers. The results emphasize the need for project managers to develop new competencies, such as understanding AI capabilities, interpreting AI-generated insights, and effectively integrating AI systems into project workflows. To mitigate the erosion of competencies, organizations should invest in training programs that equip project managers with the necessary skills to work alongside AI systems. Recognizing these challenges and proactively addressing them through training, collaboration, and a balanced approach to human-AI interaction is crucial for organizations seeking to leverage AI while maintaining a high level of project management expertise.

Towards a framework for interweaving adoption and scaling requirements into healthcare system development and project management processes

Towards a framework for interweaving adoption and scaling requirements into healthcare system development and project management processes

Contribution of artificial intelligence (AI) to construction project management processes: State of the art with scoping review method

Contribution of artificial intelligence (AI) to construction project management processes: State of the art with scoping review method

УПРАВЛЕНИЕ СТОИМОСТЬЮ ПРОЕКТА НА ПРЕДПРИЯТИИ

The goal of project management is to anticipate or predict as many hazards and problems as possible, as well as plan, organize and monitor activities so that projects are completed successfully despite all the risks. In the context of this work, it may turn out that using or applying a project management approach can guarantee and provide confidence that organizations can benefit. It is also difficult to conclude whether the project will always be successfully managed in practice. The project management process begins long before any resource is allocated and should continue until all work is completed. But what is a project and project management? We will try to solve this issue further. This article discusses strategies for managing the cost of projects in an enterprise that ensure budget compliance and timely project execution. The stages of planning financial opportunities are studied, including budgeting, cost estimation and cost analysis, as well as ways to control and optimize costs during the implementation of the project. The importance of project management in the planning and organization of the company's activities is emphasized. The methods of estimating the cost of the project are analyzed. The importance of using an integrated approach to project management in order to obtain any tangible benefits for organizations is considered. The theoretical problems of project management in the 21st century were identified and the implications for project management practice were considered. The findings showed that project management is not only about organizing project activities from the beginning to the end, but also includes creating values and relationships with stakeholders and members of the project team. A pattern has been revealed that using a systematic approach to project management can help reduce the waste of time, effort, and financial costs that could be directed to unrelated tasks. This work convincingly confirms that using a systematic approach to project management at the strategic level of an organization can help in creating a business case for any investment.

ЦИФРОВА ТРАНСФОРМАЦІЯ ПРОЦЕСУ УПРАВЛІННЯ ІНВЕСТИЦІЙНИМИ ПРОЕКТАМИ ПІДПРИЄМСТВА

The article explored the main aspects of the digital transformation of the enterprise’s investment project management process, taking into account the impact of modern digital technologies on the effectiveness of project implementation. Digital tools such as ERP systems, project management platforms and cloud-based services have been identified as significantly changing traditional project management approaches, providing transparency, increased efficiency and management flexibility. The benefits of implementing digital technologies have been assessed, including automating routine processes, increasing planning accuracy, reducing costs and improving decision-making. In particular, project management systems based on artificial intelligence (AI) and big data analytics make it possible to optimize the allocation of resources and predict potential risks, which contributes to the effective execution of projects. In addition, the use of cloud services ensures the availability of data in real time and allows teams to work remotely, which is important in the context of globalization. An analysis of the challenges faced by enterprises during the implementation of digital technologies was formed. Particular attention was paid to cyber security issues and the need to develop risk management strategies to protect confidential information. Recommendations were developed for the selection of optimal digital tools, taking into account the specifics of the project, ease of use, the possibility of integration with other systems and data security. The need for a comprehensive approach to digital transformation, which includes adaptation of business processes, training of personnel and constant monitoring of results to achieve the strategic goals of the enterprise in a dynamic market environment, is emphasized. The scientific novelty of the study consists in the comprehensive analysis of the impact of digital transformation on the process of managing investment projects of the enterprise and the development of new approaches to the selection and implementation of digital tools to improve the efficiency of project management.

Perancangan Dan Implementasi Sistem Informasi Manajemen Proyek Berbasis Web Dengan Metode WATERFALL

CV Winman Konstruksi is a company that focuses on the building construction sector. The portfolio of projects that CV Winman Konstruksi has successfully undertaken covers a wide range of work, from the planning stage to the implementation of building construction and repair projects. In conducting the project management process, CV Winman Konstruksi has been using personal short messages as a means of communication between employees, but it needs to be recognized that this method may have limitations in terms of progress tracking, project documentation, and building a formal framework that can provide more systematic and structured guidance for the entire project team. The result of this research is a computerized system as a means of project management which is realized in the form of a project management information system website. In developing this system, researchers use the waterfall method which consists of the stages of needs analysis, design, design, implementation and testing. Later it is hoped that with this system, the management process at the CV Winman Konstruksi company can be monitored easily anywhere and anytime.

Increasing Project Success in Wellhead and Christmas Tree Manufacturing Equipment Through Risk Management Culture

The primary equipment for oil production, manufactured in a plant, is the wellhead and Christmas tree. By creating a standardized set of risk instruments and a risk management framework, embedding risk management into organizational culture will reduce the overhead of imposing risk management on every new manufacturing project. This study's goal is to improve project success by examining the culture of risk management practices in the production of wellhead and Christmas tree equipment. The information was gathered from companies in Malaysia and Batam, Indonesia, with 161 respondents in a population study. Employing Cronbach's alpha to analyze the descriptive data and determine its significance. The Cronbach alpha and significant value are displayed consequently. The study's data came from a post-survey and survey using a Google link form of companies with stock listed in Malaysia and Batam, Indonesia. These results show that risk culture and staff competency may be created as important variables to improve risk management implementation in manufacturing, based on descriptive statistical analysis. This paper shows how to create a multicultural project management process and raise project success rates by adhering to this approach.