derhan/semantic-scholar-manajemen-proyek huggingface dataset:
МЕРЕЖЕВІ МЕТОДИ МОДЕЛЮВАННЯ ПРОЦЕСІВ УПРАВЛІННЯ ІТ-ПРОЄКТАМИ В УМОВАХ ЦИФРОВОЇ ЕКОНОМІКИ
Authors: Я.О Колодінська
Year: 2024

The article examines modern challenges and opportunities to overcome them, which arise in the management of IT projects. The author noted the need to use effective management methods to achieve successful results. IIt is noted that for the purpose of rational planning and operational management of projects in the field of information technology, along with flexible methodologies, it is advisable to use network modeling methods. The key aspects of the use of network methods and models with the use of network graphs in the planning, monitoring and implementation of IT projects are presented. Their significance in planning and modeling the sequence of actions, determining the critical path and estimating the duration of the project is argued. Attention is drawn to the effectiveness of network methods in the context of complex and risky IT projects. The algorithm for finding the critical path is described, thanks to which project operations are divided into critical and non-critical ones and the minimum project execution time is determined. Methods of project analysis and optimization using a network graph and a Gantt chart are considered. Stages of modeling and calculation of parameters were carried out for the IT project on software development. The case of creating an IT product is given with a detailed overview of the network planning method and optimization according to the criteria of minimizing the cost and time of the project. It is noted that the proposed two-criteria project optimization method using a network graph is simpler and more rational compared to other mathematical methods of multi-criteria optimization. The Gantt chart for the given IT project case (table 1) was built using modern artificial intelligence tools and the FigJam digital service. Existing software solutions that significantly simplify and speed up the implementation of models and allow automating IT project management processes have been studied. The possible advantages and limitations of the use of network methods are noted, and directions for further research in this area are indicated.
Influence of External Stakeholder Involvement and Risk Perception on Affordable Housing: A Survey on the Implementation of Affordable Housing Project in Anderson-Ofafa Estate, Kisumu City (Kenya)
Authors: Peterlis OCHIE’NG
Year: 2024

The significance of stakeholder involvement and risk forecasting in project management has been documented in literature and in studies all over the World. One such study was carried out in Anderson-Ofafa estate, Kisumu City. The main goal of the study was to assess the influence of external stakeholder involvement and risk perception on the implementation of the project. The stakeholders showed resistance to the housing project.The study aimed to establish the risks the project is exposed to based on stakeholder attitude and their influence on project performance, and whether the stakeholders were involved so as to provide solutions to problems bedeviling the project and to generate new knowledge. A survey of general respondents/ intelligent laypersons of age 18 years and above totaling 384 and key informants numbering 16 proportionately sampled from a population of 174,145 people found out that there was a significant correlation between stakeholder involvement, risk perception and project performance. In addition, the study established the occurrence of socio-political,regulatory and financial risk factors which had a perceived high influence of 50% and above, moderate influence of 39% and a very high influence of above 50% respectively.Updated risk register had a perceived high influence of 50% and above. Socio-political risk factors significantly influenced the project performance as was hypothesized by the alternative hypothesis of this study.Financial risk factors had the greatest impact.The stakeholders were involved in the project but were still not satisfied with its implementation.The results are expected to assist the project stakeholders align their goals with that of the project to foster sustainability.The practical or managerial implications is explained as follows- there are documented potential consequences and outcomes of stakeholder actions that have contributed to risk factors that will have extended effect on all stakeholders; including project beneficiaries, project providers, project influencers, and the project governance team. Interventions recommended include; Project sponsors to focus on strategies that manages risk perception and returns expectations, Project manager to reduce project scope, public sector to put measures that guarantee stability in laws and regulations and, the project should be infused into the new affordable housing program by the Kenya Kwanza government to benefit from the new government initiated housing levy fund.
A PSO approach for software project planning
Authors: Ya-Hui Jia; Wei-neng Chen; Xiaomin Hu
Year: 2014

Search-based software project management is a hot research point in software engineering. Based on the event-based scheduler (EBS) we have proposed in previous work [1], this paper intends to further propose a two-phase particle swarm optimization approach which uses a set-based representation for task scheduling and an integer representation for workload assignment scheduling to improve planning performance. Experimental results on 83 instances demonstrate the effectiveness of the proposed approach.
Moving People and Goods with Future Mobility Devices. The Challenge of Adaptive Transport Infrastructures
Authors: Laurence Frank
Year: 2022

New types of vehicles will soon revolutionize transports and mobility but how current transport infrastructures will absorb or cope with these new mobility devices is unclear. We argue that the new generations of vehicles will require ‘agile transport infrastructure management’ methods in the future. A transport infrastructure project is subject to path-dependency due to long lag-time, hefty administrative frameworks and budget voting, and yet it is expected to be agile enough to accomodate new mobility devices. To discuss this duality, we combine the theoretical frameworks of path-dependency, isomorphism, dynamic capabilities and agile project management methods so to discuss the practicality of ‘agile transport infrastructures’. We hereby intend to provide food for thought and paths for the action for transports planners, policy-makers and mobility innovators.
Analisis Pengaruh Manajemen Operasi Dalam Perusahaan
Authors: Nani Qurotul A”Yun
Year: 2024

Operational management is part of the work process, implementation, organization, or overall management in an organization or company. Our country has experienced difficulties since the implementation of PSBB. This also has an impact on the economy in Indonesia. Every company will compete to be at the forefront to meet consumer needs in the market in order to survive in the midst of competition. The type of research conducted in the discussion of this article is by using literature studies or literature reviews, The data sources used in this study are secondary data which are types of data that come from documents or other secondary sources Several supporting aspects for the company, Project Management, Process Strategy, Quality Management, Forecasting Management, and Strategic Location.
DotProject+: Open-Source Software for Project Management Education
Authors: Rafael Queiroz Gonçalves; C. V. Wangenheim
Year: 2017

Teaching the usage of Project Management (PM) tools is an important part of Software Engineering education. In this context, instructors often adopt some professional PM tool, such as MS-Project, GanttProject or dotProject. However, as such tools lack instructional features, some studies propose the adoption of educational PM tools. Yet, even these tools may be insufficient, due to their limited content coverage, and/or not support the learning of prominent professional PM tools. Attempting to improve this situation, this paper presents the enhancement of a professional open-source PM tool – dotProject - for educational purposes. The enhancements include the completion of the support for project initiating and planning, and the reorganization of the tool's interface to assist its adoption in the classroom. Results from applying the enhanced tool in a series of case studies in PM courses, indicate that dotProject+ contributes to the students' learning and facilitates the teaching of the usage of a PM tool in alignment with the PMBOK.
AN ADAPTIVE DECISION-MAKING SUPPORT MODEL IN THE MANAGEMETN OF ENGINEERING INFRASTRUCTURE RECONSTRUCTION PROGRAMS AND PROJECTS
Authors: I. Khudiakov; M. Sukhonos
Year: 2023

Reconstruction of engineering infrastructure has become an important topic for Ukraine since the beginning of the full-scale invasion of russian federation in 2022. Standard approach to implementation of programs and projects is inefficient for turbulent environments and therefore the use adaptive approach is relevant.
The concept of adaptive management has been analyzed. Means and instruments of adaptive management were analyzed. It was defined that different means and instruments of adaptive management are relevant for different program implementation phases. For the delivery phase these are learning and forecasting, for the closure phase – analysis of obtained experience for more efficient implementation of the next programs, for the definition phase – instruments that can ensure the further implementation of adaptivity to the management processes.
An adaptive decision-making support model concept is proposed for adaptive engineering infrastructure reconstruction programs and projects management. The model is based on machine learning methods and can be used for program architecture and project work structure development and management. In this case the decision-making consists in choosing the optimal composition and configuration of the system that is the reconstruction object from among the available alternatives by predicting the values of the parameters of its elements in order to minimize the costs of implementing the program or the project.
The model is created with Microsoft Azure Machine Learning Studio, the user interface is created in Microsoft Excel.
The distinguishing features of the model are adaptivity due to the use of machine learning methods, possibility of scaling of the model to ensure its application to different system levels and presence of post-processing instruments for different use cases including calculation of additional parameter values, parameter values dependency graphs construction etc.
The dataset for the model consists of several parameter categories that characterize the system modelled: technical and technological parameters, environmental parameters, energy efficiency parameters, energy security parameters, economic parameters, operational safety parameters.
Keywords: adaptive program management, adaptive project management, decision support systems, machine learning.
Implementation of Building Information Modeling (BIM) Utilizing Tekla Structures for Work Volume Calculation (Institute of Technology Keling Kumang Project in Sekadau District)
Authors: Erliafina Erliafina; Lusiana Lusiana; Syahrudin Syahrudin
Year: 2025

In the construction industry, planners use contract drawings and the Work Plan and Conditions (RKS) to determine the work to complete. The conventional approach in calculating the volume and quantity of work usually relies on Microsoft Excel as a calculation tool based on AutoCAD drawings. However, this method is considered inefficient and time-consuming, which can affect the quality of the resulting infrastructure. Building Information Modeling (BIM) is a solution to improve efficiency in planning and managing construction projects. In this research, Tekla Structures was chosen for its ability to generate project drawings, manage and monitor projects, amplify details with high accuracy, and automatically calculate the volume of work after modelling. This research aims to encourage wider application of digital technology in the construction industry in Indonesia. The results showed that comparing the total volume of concrete work between the calculation using Tekla Structures and secondary data had an accuracy rate of 87.61%, with a deviation of 12.39%. Meanwhile, the total volume of reinforcement works showed an accuracy of 95.66% with a deviation of 4.34%. This insignificant volume difference indicates that Tekla Structures can be relied upon to calculate the volume of work, especially in detailing and reinforcement. Although the accuracy of volume calculation is already high, improvement of the BIM model is still needed to make it closer to the actual conditions in the field. One of the efforts that can be made is to integrate real-time data from the field into the BIM model so that the accuracy of calculations increases and can support planning and project management more effectively.
Reinventing Project Management: The Diamond Approach to Successful Growth and Innovation, by Aaron Shenhar and Dov Dvir
Authors: A. Shenhar
Year: 2007

Aaron Shenhar is professor of management at Stevens Institute of Technology, New Jersey, and Dov Dvir is head of the management department at Israel’s Ben Gurion University School of Management. The key question they address is: “what do organizations need to consider before they launch a new project, and how they should address the project in retrospect.” The book does not reinvent the techniques for keeping a project on time or on budget; the authors assume the readers already do these. Their contribution lies in providing a tool that crosses the boundary from strategic managers to project managers.
Understanding System of Systems Management: A Systematic Review and Key Concepts
Authors: Iohan Gonçalves Vargas; R. Braga
Year: 2022

The growth of knowledge required for the management of software projects is directly related to the growth of systems’ complexity and integration efforts. In this sense, Systems Engineering and Project Management teams must strengthen their relationships toward being involved in large-scale projects. This relationship is even more challenging in System of Systems Engineering, in which different constituent systems for achieving a common goal. The management of system of systems is an open research area with several gaps, especially those related to authority, responsibility, and scale. This article investigates approaches for an improved management of system of systems and constituent systems. A systematic review was conducted for the understanding of the current gaps related to managerial concepts in the system of systems context, as well as problems, challenges, and benefits. Open research issues have been delineated and a set of appropriate definitions related to both management and governance has been established. The systematic review returned 3495 studies that mostly describe “best practices” for the management, and 31 were selected for data extraction. Our aim is to open new perspectives of research, toward contributing to the management of system of systems.
Integral and dynamic methodology applied to scheduling and control project
Authors: Leonardo Gonzalez; Dusko Kalenatic; Karol Vivivana Moreno
Year: 2012

This paper presents the implementation of the integral and dynamic methodology in the scheduling and dynamic control of projects. For this purpose and using the above-mentioned methodology, a model which combines activity networks AON (activity on node), CPM, multimode execution and system dynamics is developed. The model is operationalized by developing two separate networks, i.e., a scheduling network on the one hand and the execution network on the other hand, in order to interact through a control loop. The proposal is validated using activity networks with 16 activities selected from MRCPSP of PSPLIB library. The model derived from the methodology has significant advantages in characteristic indicators of the project management. The paper concludes with a proposal of new combinations of tools, which, together with the methodology, can address problems of scheduling and control of projects with greater variability and complexity.
Enhancing Efficiency in Industrial Metal Roof Replacement: Utilizing Goal Programming for Cost Optimization
Authors: Wilson Sutanto; Stefanus H. Prajitna; Christian Harito
Year: 2024

This study explores the use of Goal Programming (GP) to optimise project management decisions in the construction industry, focusing on a case study of a roof replacement project. The construction industry is crucial to a country's development, contributing significantly to economic growth and employment rates. However, construction projects are often complex and resource-intensive. Project management is essential in ensuring the successful completion of construction projects. The study uses GP to address the time-cost trade-off in project management, aiming to minimise project costs while meeting project deadlines and quality requirements. The GP model considers various constraints, such as the availability of workers and equipment, project duration, and budget limitations. The study presents two optimisation options: a time-focused option and a cost-focused ed option. The time-focused option prioritises timely project completion, while the cost-focused option aims to minimise project costs. In the case study, the time-focused option is the most suitable choice. This approach allows the project to be completed in time as the alternative option delay delays the project far too unacceptable. Overall, the study demonstrates the effectiveness of GP in optimising project management decisions in the construction industry. By carefully evaluating project constraints and objectives, GP can help construction companies achieve the best possible outcomes in terms of cost, time, and quality. Keywords: Goal Programming, Construction Industry, Project Management, Time-Cost Trade-off, Optimization
A Framework for a Master’s in Applied Artificial Intelligence Program in Computer and Information Systems Discipline
Authors: Abdur Shahid; Sushma Mishra
Year: 2024

Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of a comprehensive, technically focused framework for developing a master’s program in Applied AI specifically tailored to meet the demands of the Computer and Information Systems (CIS) discipline. This paper addresses this gap by proposing a graduate-level Applied AI program framework for CIS students. This framework comprises an example graduate-level curriculum that focuses on critical competencies in the application of AI, including data analytics, machine learning, natural language processing, computer vision, AI ethics and governance, AI project management, IT infrastructure for AI systems, and AI-driven innovation. By following this framework, institutions can develop customized master’s programs that align with the evolving field of AI and prepare CIS graduates to excel in diverse industries.
Pro-active Project Management
Authors: Gilles Gautier; Georgios Kapogiannis; C. Piddington; T. Fernando; Yiannis Polychronakis
Year: 2009

Project management methodologies aim at reaching effectiveness during a project by supporting managers in planning and controlling tasks. But inappropriate use of risk assessment and decision making processes can still affect task completion during a project. New management methodologies must therefore be developed that enhance knowledge sharing by considering the viewpoints of more experts, supporting ad-hoc communications between partners and improving secured integration of technologies. Not only could time management become more efficient because the managers would have a broader, deeper understanding of the decisional context, but it could also minimise investment risks by enabling fast reactivity to any unforeseen issues.Based on the above requirements, the Pro-Active Project Management is introduced here as a solution to current project management limitations. It makes full use of advanced technologies, such as virtual reality, to enable knowledge sharing at any time between any members of a project. After an analysis of current issues, this paper thus introduces the Pro-Active Project Management methodologies and the technologies that enable its implementation. It finally shows how such a methodology helps achieving efficiency in a project.
Interpartner learning capabilities and relationship performance during complex projects
Authors: Tun-Chih Kou
Year: 2024


Purpose
Success in projects requires understanding and managing increasing complexity. This study aims to address the gap in the literature regarding the relationship between project complexity and various forms of interpartner learning capability. In addition, the authors explore the moderating effect of supplier design responsibility on the relationship between project complexity and interpartner learning capability.


Design/methodology/approach
From an electronics supplier’s perspective, the authors propose that the effect of project complexity is a process of knowledge acquisition and sharing that is facilitated by various forms of interpartner learning capability, including absorptive learning and joint learning, with the upshot of fostering name-brand customer dependence in international exchange relationships. A questionnaire survey is used to collect data from project, product and account managers in the electronics manufacturing industry. The conceptual model is tested using 226 returned questionnaires.


Findings
The results indicate that complex projects can drive absorptive learning and joint learning capability, fostering enhanced customer dependence and relationship performance. Further, supplier design responsibility has a positive moderating effect on the relationship between project complexity and joint learning capability. However, project complexity is not significantly moderated by the effect of supplier design responsibility on absorptive learning capability.


Originality/value
Complexity fosters behaviors that influence interpartner learning, which highlights the connection between project management complexity and organizational learning in theory and practice.
Competence Development Among IT-consultants - The Need for Collective and Structured Reflection
Authors: Stefan Cronholm; G. Goldkuhl
Year: 2009

This paper is about the knowledge transferring between IT-consultants. IT-consultants are involved in many complex and challenging situations. They need to manage organisational, semantic and technical issues. Managing this complexity requires a high and a variety of competences. Examples of competences needed are business development, project management, information system development methods and techniques. An IT-consultant often makes continuous movements between different assignments and clients. The competence developed is often individually based. Individually based knowledge is not sufficient since the IT-consultants have to carry organisational working procedures. Furthermore, the competence needed is not static; it is something that should evolve dynamically. In this paper we are proposing a collective competence development approach. The collective competence development approach consists of a process model and a conceptual model. The aim of both these models is to make individual based knowledge as subject to collective reflection.