derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Identification of methods, approaches, and factors in effort estimation for DevOps projects: a systematic literature mapping
Authors: Blanca Dina Valenzuela Robles; Iliana Lizbeth Alvarado; René Santaolaya Salgado; Miguel Hidalgo-Reyes
Year: 2023

Effort estimation (scope - cost - time) plays a significant role in software project management. Reducing the chances of software project failures has been a challenge faced by the scientific community for over 30 years. In this regard, research has focused on proposing methods to enhance the accuracy of effort estimations. Other authors have identified factors impacting effort estimations, while some studies define frameworks, analogies, comparison lists, ontologies, or comparisons among estimation methods, among other strategies, aimed at addressing the issues of overestimation or underestimation of software projects. The DevOps approach is a field that is being explored to develop alternative methods and strategies to tackle this problem. This work conducted a systematic literature review, allowing for the identification of methods, approaches, practices, factors, metrics, and methodologies to enhance software development project estimations within the DevOps context. This study enriches the perspective of an approach that extends the scope of estimations from the development phase to the operational phase, aiming to reduce the disparity between initial estimations and the actual (cost and time) estimations of a software project in DevOps environments.
Construction Schedule Management System for Large-Scale Construction Projects Based on Multisensor Network
Authors: Fanmin Meng; Shaozhi Yu; Jianying Xue
Year: 2022

As an important task of construction project management, construction schedule management is related to the realization of project period, cost, quality, and other objectives. However, in actual construction, problems such as difficulties in plan implementation and management are often encountered, and schedule delays often occur. Moreover, with the increase in the scale and complexity of modern buildings, the management of construction schedules has brought about larger issues and higher requirements have been put forward for the management level of the construction schedule. The traditional timetable management and scheduling is not highly relevant to the project entity. There is no entity change, the project information loss is serious, the tracking and control of the construction timetable is not in place, there is fine management, and the construction timetable management cannot meet the needs of modern construction. In order to ensure the smooth implementation of projects and objectives, it is urgent to explore new management ideas and methods to promote the smooth progress of construction process management. BIM technology has the advantages of visibility, simulation, adjustment, optimization, and advanced data integration, which helps to make up for the shortcomings of previous schedule management and improve the level of construction schedule management. Based on the research situation of large-scale construction project monitoring system and the analysis of information fusion technology, this paper proposes a large-scale construction project monitoring system scheme based on multisensor network information fusion. Through the investigation of the monitoring content, the composition of the multisensor network is determined. This paper is applicable to large-scale construction projects. Through the research and design of hardware modules, software modules, and fusion algorithms, the data acquisition, transmission, calculation, and display functions of the monitoring system based on multisensor network information fusion are realized, which can effectively monitor the entire process of large-scale construction projects.
The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals
Authors: Mariam Abdalla Alketbi; F. Dweiri; D. Dalalah
Year: 2024

The applications of Artificial Intelligence (AI) in the airport industry are significantly transforming operational efficiency, safety, and passenger experiences. This study investigates the integration of AI within aviation construction projects, with a focus on the United Arab Emirates (UAE). While AI technologies such as facial recognition, IoT, and biometric systems have advanced airport security and operations, their use in construction project management remains limited. A survey was conducted among 101 engineering professionals and experts with experience or involvement in managing aviation-related construction projects. Participants, many of whom had familiarity with AI tools, provided insights into the applicability of AI in areas such as planning, scheduling, and safety monitoring. The majority agreed that AI has the potential to revolutionize project management processes, improving decision-making, and efficiency. AI tools can predict delays, optimize workflows, and enhance safety through real-time data analytics and machine learning algorithms, reducing risks and human error. Despite the UAE’s leadership in AI-driven security advancements, its use in aviation construction is still underdeveloped. This research highlights the potential for broader AI integration across the entire lifecycle of aviation projects. By adopting AI in these areas, UAE airports could set new benchmarks for cost effectiveness, sustainability, and project delivery, reinforcing the region’s status as a leader in technological innovation within the aviation industry.
MANAGEMENT TOOLKIT FOR MAKING EFFECTIVE INVESTMENT DECISIONS
Authors: Е.Г. Шеина; А.Е. Плахин
Year: 2023

В условиях неопределенности внешней среды особенно остро становится вопрос о формировании четких параметров определения эффективности принятия инвестиционных решений с целью минимизации сопутствующих рисков и достижения запланированного результата инвестирования. Процесс принятия инвестиционных решений имеет особое значение при управлении социально ориентированными инвестиционными проектами и их реализацией. Авторами разработана цепочка создания эффективных инвестиционных решений как инструмент управления, состоящий из нескольких логических блоков и позволяющий регулировать последовательный необходимый набор действий инвестора с целью достижения запланированных им результатов. В совокупности с разработанной авторами ранее методикой динамической оценки эффективности принятия инвестиционных решений в управлении социально ориентированными инвестиционными проектами применение цепочки вариативных инвестиционных решений в управлении социально ориентированными инвестиционными проектами выступает элементом научной новизны и позволяет осуществлять мониторинг результативности показателей социально ориентированных проектов на основе расчета единого показателя эффективности принятия инвестиционных решений в управлении социально ориентированными инвестиционными проектами. Авторская цепочка принятия эффективных инвестиционных решений применена для отобранных органами государственной власти региональных инвестиционных проектов на территории Ямало-Ненецкого автономного округа с целью предоставления бюджетного финансирования и позволила определить уровень эффективности финансирования проектов.
 The issue of creating clear parameters for determining the investment decision-making effectiveness in order to minimize risks and achieve the planned investment result becomes especially acute in external environment uncertainty conditions. The investment decision-making process is of particular importance in the socially oriented investment projects management. The authors have developed a chain for creating variable investment solutions as a management tool, consisting of several logical blocks and allowing to regulate the sequential necessary set of investor’s actions in order to achieve the results he planned. In conjunction with the previously developed methodology for dynamic assessment of the investment decision-making effectiveness in the socially oriented investment projects management, the variable investment decisions chain usage in the socially oriented investment projects management is a scientific novelty element and allows monitoring the effectiveness of socially oriented projects indicators based on the calculation of a unified adoption investment decisions effectiveness indicator in the socially oriented investment projects management. The author's chain of making effective investment decisions was applied to regional investment projects selected by Yamalo-Nenets Autonomous Okrug government authorities in order to provide budget financing and made it possible to determine the project financing efficiency level.
Promotional activities and implementation of blockchain technology in wine production in the Republic of Serbia
Authors: Bojana Ostojić; Milan Bakljač; Dražen Jovanović; S. Balaban
Year: 2024

Advances in technology and the Internet have transformed the way products and services are offered to customers. In this, rather important role is played by project management and digitization, which support companies in reduction of operating costs through the automation of services. The paper explores promotional activities associated with the implementation of blockchain technology in wine production in the Republic of Serbia, examining potential approaches and the impacts of this process on wine-producing companies. The importance of the paper is reflected in the effort to present and analyze previous knowledge on the mentioned problem, as well as to provide a contribution to the topic in the form of research using the example of the winery "Kovačević" Irig. Project management has a key role in the successful implementation of this technological solution, ensuring that the processes are properly planned, coordinated and controlled. Through this integration, wineries may improve their supply chain, provide greater confidence to consumers and gain competitive advantages in the market environment
PROJECT ACTIVITY OF THE FACULTY SOCIAL AND PSYCHOLOGICAL EDUCATION
Authors: O. Kravchenko
Year: 2023

An overview of the project activities of the Faculty of Social and Psychological Education of Uman State Pedagogical University named after Pavel Tychyna was carried out. Today, project activity is an effective technology and is used in all spheres of social life. Therefore, the training of specialists in mastering project management methodology is an important component both during the implementation of educational programs in the conditions of a higher education institution, and a condition for effective and innovative scientific activity. Thanks to interdisciplinary cooperation with the public sector and public organizations, a number of social projects are being implemented at the Faculty of Social and Psychological Education of Uman State Pedagogical University named after Pavlo Tychyna.
Predicting project performance from occupational stress, psychological availability and ethical leadership: moderated-mediation and mediated-moderation models
Authors: M. K. Abiemo; E. M. Azila-Gbettor; E. A. Atatsi; Ben Q. Honyenuga; Christopher Mensah
Year: 2024

PurposeThis study, respectively, explored the mediating and moderating influences of psychological availability and ethical leadership on the relationship between occupational stress and project performance among construction workers in Ghana.Design/methodology/approachEmploying partial least squares structural equation modelling (PLS-SEM) with SmartPLS 4, this quantitative cross-sectional study analysed survey data from 677 construction project workers who were recruited through simple random sampling technique.FindingsThe results demonstrate that occupational stress negatively predicts both project performance and psychological availability of construction project workers. Psychological availability and ethical leadership mediate and moderate the stress-project performance relationship, respectively.Practical implicationsThe findings suggest that ethical leadership and attention to psychological well-being are key to managing occupational stress and enhancing project performance in high-stress environments like construction.Originality/valueThis study contributes to the understanding of occupational stress in project management by integrating psychological and leadership factors through conservation of resource theory, social exchange theory and the job demands-resources model.
Model-driven game development: experience and model enhancements in software project management education
Authors: M. Barros; Alexandre R. Dantas; Gustavo O. Veronese; C. Werner
Year: 2006

The inadequate use of management techniques in software projects is usually associated with lack of efficient strategies to teach managers and prepare them to face the challenges imposed by real-world projects. Many studies have proposed that a learning-by-doing educational approach would be more effective than the traditional lecture-oriented, professor-centered strategy. However, the former approach requires an environment where students can act as managers without the cost and risks associated with project failures. Games are proposed to act as such an environment, emulating reality through graphical or textual constructs and allowing the trainees to play the managers' role in a risk-free environment. 
 
 
 
In this work, we present our experiences in developing system dynamics based games for software project management. We describe a project management game intended for training purposes and the changes that were made to allow a system dynamics simulator to support game-like interactions. Moreover, we describe an experimental evaluation of the game's application as a learning-by-doing environment for management students. On the basis of the experience we acquired by building such an interface, we propose models to describe the story underlying a game and its graphical presentation. Such models allow the construction of games without programming, thus fastening the development of simulation-based games. Copyright © 2006 John Wiley & Sons, Ltd.
The Future of the Canadian Oil Stands: Engineering and Project Management Advances
Authors: P. Madden; Jacek D. Morawski
Year: 2011

This paper discusses production technology and project management developments in the Canadian oil sands industry, in the context of AMEC's experience as a consultant and EPCM service provider to lease holders, developers and operators. Mineable and in situ oil sands developments are described, along with methods for and challenges of various production types of in situ, including Cold Flow, Cyclic Steam Stimulation (CSS), Steam Assisted Gravity Drainage (SAGD), Toe to Heel Air Injection (THAI), and VAPEX. Effective project management and supporting systems are critical to achieve cost and schedule targets on large, complex projects performed by AMEC. Workfront planning is essential to achieve optimum construction execution and a best value project. Construction Work Packages (CWPs) divide the work into discrete pieces and the Construction Work Execution Plan influences scheduling of engineering and procurement deliverables. Integration of the schedules and linking to the required on site (ROS) dates of the CWP scopes minimizes workfront duration requirements, allowing progressive completion of systems. AMEC's Engineering Data Warehouse (EDW) works with centrally-hosted, intelligent engineering design tools to assist in achieving tight cost and schedule targets. The EDW ensures all information related to a given piece of equipment is consistent across all systems, supporting quality assurance of engineering data between AMEC, its sub-contractors and supervised contractors. Once verified and consolidated, the information becomes part of a Master Tag Register (MTR), improving AMEC's ability to meet contractual turnover requirements for data quality, completeness and accuracy. Health, safety, security and environmental (HSSE) systems are proactively developed and AMEC's progressive improvement in safety performance over the years is demonstrated. The improvement is due in part to the company's Beyond Zero program, designed to achieve sustainable, world-class HSSE performance.
Project Management Tools Assessment with OSSpal
Authors: S.A.B. Cruz; Jorge Bernardino
Year: 2019

: In this paper it is highlighted the importance of using a methodology to evaluate project management tools and chose the one that will make the project management tasks easier. Three project management tools, GitLab, Microsoft Planner and ]Project-Open[, will be analysed by an open-source assessment methodology OSSPal that focus on important features of this kind of tools. This is one of the most correct and efficient way to choose which tool should be used in a project.
Success Factor Management Analysis of Self-Management System For Building Projects
Authors: Jamal; Albani Musyafa; Faisol AM; Fitri Nugraheni
Year: 2022

The requirement of project management in construction is needed to be able to set priority aspects of implementation from the beginning to the end, to make it succeed and happen as a plan. Self-management is one of the managements to the owner and some scope is to universities that have resources qualified as self-management. Success factor analysis of self-management aims to determine the priority success factors and characteristics of buildings that can be used for self-management.  The analytical method used in this research is Analytical Hierarchy Project or AHP.  Based on the results of the study, it was obtained 4 respondents who met the criteria for self-management and 10 factors of success, namely quality with 21.33%, leadership / managerial 16.94%, cost 16.89%, 15.68% customer satisfaction, administration 8%, human resources 7.40%, and the other factors such as time with 4.79%, suppliers 3.24%, labor 3.17%, and place characteristics 1.99%.  The characteristics of buildings can be done independently, namely; having location or place of development that is owned by the community in a certain area, possessing the development that empowers human resources belonging to mass organizations and community groups, and owning a team of consultants and supervisors to improve planning, scheduling, and increased supervision.
THE STUDY OF FORMS OF NON-STANDARD EMPLOYMENTIN THE CONTEXT OF THE IMPLEMENTATION OF SIGNS OF DECENT WORK
Authors: E. Maslennikova; E. Kolesnik; O. Antonova
Year: 2022

The article presents a study devoted to the systematization of forms of non-standard employment of the population and their classification of compliance with the signs of decent work, as well as the study of mechanisms for their inclusion in the regional employment policy. It is established that the spread of non-standard forms of employment is an objective trend, an evolutionary stage that expands the boundaries of the labor market, employment opportunities for various groups of the population. The combination of standard and non-standard forms of employment is a natural reaction to the development of the digital economy, electronic business, their use has been intensified by restrictions associated with the spread of the new coronavirus infection COVID-19. At the same time, there is an acute problem of eliminating precarization risks, observing employment rights and guarantees in this area, which is one of the most important tasks of the state employment policy. The author's definition of the concept of "precarization risks of employment" is given. The classification of non-standard forms of employment on the grounds of decent work is presented, which will allow to highlight the possibilities of their compliance for each form, as well as to identify existing and potential problems in this area. All this will make it possible to define the boundaries of the use of non-standard forms of employment in the activities of public authorities in terms of reducing tension in the labor market, reducing unemployment, and providing employment for certain categories of the economically active population. The authors believe that the state employment policy should be aimed at socio-economic adaptation of the population to such forms of employment and ensuring their legal regulation to match employment with the signs of decent work, the main mechanism of implementation is project management. The results of the study can be used in the further study of non-standard forms of employment, as well as in the activities of public authorities to improve regional employment policy and develop measures to develop the labor market and reduce unemployment.
Exploring the Challenges and Impacts of Artificial Intelligence Implementation in Project Management: A Systematic Literature Review
Authors: Muhammad Irfan Hashfi; Teguh Raharjo
Year: 2023

—This paper presents a systematic literature review (SLR) investigating the challenges and impacts of implementing artificial intelligence (AI) in project management, specifically mapping them into the process groups defined in the Project Management Body of Knowledge (PMBOK). The study aims to contribute to the understanding of integrating AI in project management and provides insights into the challenges and impacts within each process group. The SLR methodology was applied, and a total of 34 scientific articles were analyzed. The results and analysis reveal the specific challenges and impacts within each process group. In the Initiating Process Group, AI tools and analysis techniques address challenges in risk assessment, cost prediction, and decision-making. The Planning process group benefits from various tools and methodologies that improve risk assessment, project selection, cost estimation, resource allocation, and decision-making. The Execution process group emphasizes the importance of advanced tools and techniques in enhancing productivity, resource utilization, cost reduction, and decision-making. The Monitoring and Controlling process group demonstrates the potential of advanced tools in achieving efficiency, cost reduction, improved quality, and informed decision-making. Lastly, the Closing process group emphasizes the importance of utilizing advanced tools to minimize waste, optimize resource utilization, reduce costs, improve quality, and project closure success. Overall, this research provides valuable insights and strategies for organizations seeking to implement AI in project management, thereby enhancing the potential for success within the PMBOK Process Group.
Introducing a Game Approach Towards IS Requirements Specification
Authors: Mika Yasuoka; Kyoichi Kadoya; Takashi Niwa
Year: 2014

Devising a system requirements specification is a challenging task. Even after several decades of system development research, specifications for large-scale, widely-used systems remain difficult. In this paper, we suggest a first step toward a requirements specification through a stakeholder involvement approach with game elements. We report preliminary findings from a practice case in which our methods are applied to the requirement specification phase of a project management system. The analysis showed that our game approach fostered innovative idea generation and captured implicit user expectations, and as a result provided a list of requirements from other perspectives than those of conventional specification analysis. The granularities of extracted system requirements need to be refined and transferred to detailed requirements for developers to use, however, our results imply that our stakeholder involvement method with game elements can be effectively utilized as a first step towards requirement specification.