derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Mechanisms and technologies of functioning of the aircraft industry in the process of creating transport infrastructure
Authors: Е.В. Дианова; М.Н. Калошина
Year: 2021

Устойчивое развитие авиационной промышленности осуществляется за счет эффективного функционирования распределенных и сосредоточенных систем. Основой конкурентного развития отрасли является реализация инновационных проектов. Одним из перспективных направлений совершенствования методов управления проектами является инициация современных программных технологий, основанных на применении удельных показателей в качестве критериев принятия решений. Удельные показатели могут быть использованы в известных пакетах прикладных программ для эффективного менеджмента. Для повышения точности и обоснованности управления по удельным показателям разработаны нормативы, которые рассчитаны по данным Программы развития авиационной промышленности 2013-2025 гг. Количественный и качественный анализ удельных показателей следует осуществлять в соответствии с принципами SWOT-анализа, который позволяет оперативно оценивать слабые и сильные стороны, возможности и угрозы для каждого элемента распределенной системы. Для разработанного механизма управления инновационными проектами, реализуемыми в рамках распределенных систем авиационной отрасли на базе удельных показателей формируется информационный и экономико-математический контент, который на сегодняшний день апробируется в электронных таблицах.
 The sustainable development of the aircraft industry is achieved through the effective functioning of distributed and concentrated systems. The basis of the competitive development of the industry is the implementation of innovative projects. One of the promising directions of improving project management methods is theinitiation of modern software technologies based on the use of specific indicators as decision-making criteria.Specific indicators can be used in well-known application software packages for effective management. To improve the accuracy and validity of the management of specific indicators, standards have been developed, which are calculated according to the data of the Program for the Development of the Aircraft Industry 2013-2025. Quantitative and qualitative analysis of specific indicators should be carried out in accordance with the principles of SWOT analysis, which allows you to quickly assess the weaknesses and strengths, opportunities and threatsfor each element of the distributed system. For the developed the management mechanism of innovative projects implemented within the framework of distributed systems of the aircraft industry on the basis of specific indicators information and economic-mathematical content is formed, which today is tested in spreadsheets.
Tailoring process requirements for software product assurance
Authors: Christian R. Prause; Markus Bibus; Carsten Dietrich; W. Jobi
Year: 2015

The DLR Space Administration designs and implements the German space program. While project management rests with the agency, suppliers are contracted for building the space devices and their software. As opposed to many other domains, these are often unique devices with uncommon and custom-built peripherals. Its software is specifically developed for a single mission only and controls critical functionality. A small coding error can mean the loss of a mission. For this reason, customer and supplier closely collaborate on the field of software quality. We report from a customer's perspective on lessons and management tools for influencing suppliers' processes and product quality: standards, single-source tailoring and cross-company product assurance.
The Role of Artificial Intelligence in Managing Scientific Research Projects Funded by KEGA and VEGA Grant Schemes
Authors: Kateřina Bočková; D. A. Procházka; Pavel Bartoš
Year: 2025

The article examines the application of Artificial Intelligence (AI) in managing scientific and educational projects funded by the KEGA and VEGA grant schemes in Slovakia. The objective is to analyse how AI contributes to more efficient management of project processes, including the initiation, planning, implementation, monitoring, and closure of projects. Research identifies key areas where AI provides significant benefits, such as automation of administrative tasks, optimisation of resource allocation, and decision-making support through predictive analysis. The article also highlights the utilisation of AI tools, such as chatbots and advanced machine learning algorithms, to improve communication and monitoring project activities. The findings indicate that AI not only facilitates the complex grant management but also improves the quality of achieved outcomes. Despite these positive contributions, the research has revealed several challenges, including insufficient integration of AI in certain phases of the project lifecycle and concerns about the ethical use of these technologies. Recommendations include the need to further education of project managers in AI-related areas and the development of strategies for their effective implementation. The article offers a fresh perspective on the use of AI in project management and introduces valuable tools and methodologies that can help project teams in achieving superior results.
Process Centric Business Case Analysis for Easing Software Project Management Challenges
Authors: S. Islam; M. Rokonuzzaman
Year: 2011

Software Project management involves coordinating various aspects of a project in order to bring forth a positive result. There have been increasing challenges faced by Project Managers. The major challenges of project management include unrealistic deadlines, communication deficit, uncertain dependencies, failure to manage risk and invisibility of the intermediate products. Meeting these challenges is very difficult and in many cases they are not met which eventually leads to the project failure. This situation is even worse where project dispersion is high. Different studies reveal that an IT project is more likely to be unsuccessful than successful and 7 out of 10 IT projects fail in some respect. The process centric work breakdown structure (WBS) can play a very vital role in this regard to improve the situations significantly. Instead of work breakdown structures as a tree, the proposed process centric WBS takes whole software production process and splits whole process into smaller process units which take right set of inputs with the right set of standard, put right set of practices in place that eventually produce the work products with required standards and quality. This process centric work breakdown structure helps Project Managers plan, estimate, monitor, and control the project activities in greater accuracy and efficiency. In this article, Business Case Analysis phase of software projects has been taken as an example to demonstrate process centric concept of WBS to deal with project management challenges.
Factors affecting time and cost in road construction projects at a South African municipality
Authors: Monwabisi Siwakhile Xegwana; M. Twum-Darko; R. Tengeh
Year: 2024

The South African construction sector is confronted by significant obstacles, particularly concerning cost overruns and project delays within the road construction sphere. This research sought to investigate the factors impacting cost and duration in road construction projects under the purview of a KwaZulu-Natal municipality. A qualitative research approach was adopted to explore this phenomenon. A sample size of 27 participants was selected from a population of 171 for in-depth semi-structured interviews. Critical determinants of cost overruns and delays were identified as ineffective communication, suboptimal procurement processes, deficient stakeholder management, and shortcomings in project execution and personnel capabilities. This study offers valuable insights into the relationship between cost, time, and the successful delivery of road projects within the local government context. By illuminating these factors, the research contributes to a deeper theoretical understanding, informs evidence-based policy development, and provides actionable recommendations for enhancing project management practices.
Digital Transformation and Disruptive Technologies: Effect of Blockchain on Managing Construction Projects
Authors: Mounir M. El Khatib; Sara Bin Khadim; Wadha Al Ketbi; Noura Hamad Al Kuwaiti; Ali El Khatib
Year: 2022

Blockchain technology has major advantages in improving management processes in many industries, such as increasing the security and trust level, protecting data from forgery, and decreasing transaction costs. The paper discusses the impact of blockchain technology as a digital transformer on construction projects and improving management processes and its effects across the four elements: Business, Technology, Industry, and Society. The construction industry deals with many other entities with a large volume of transactions, creating a great environment to utilize blockchain technology to improve these processes. This study aims to determine the impact of blockchain technology on project management in the construction industry. Therefore, the collected data is from secondary data as there have been few cases discussing the implementation of blockchain within the construction industry, which significantly impacts project management through an efficient monetary exchange, building information modeling, smart contracts, and increased supply chain management transparency. As a result, blockchain technology has a positive impact and the ability to increase the efficiency of the construction project management process. This research has intelligibly discussed the importance of digital transformation in the present time, as well as the role of blockchain technology in the construction field along with project management.
Implementing Health Behavior Change in Primary Care: Lessons From Prescription for Health
Authors: D. Cohen; A. Tallia; B. Crabtree; Denise M Young
Year: 2005

PURPOSE Our objective was to identify themes that emerged from the evaluation of 17 interventions funded by the Robert Wood Johnson Foundation’s Prescription for Health that aimed to enhance adherence to healthy behaviors in the primary care setting. METHODS We performed a content analysis of diary data from this 16-month initiative. Other data sources used to complement this analysis include funded grant applications and field notes from interviews with investigative teams and a limited number of site visits. Participants were 17 practice-based research networks (PBRNs) that had projects funded during Round 1 of Prescription for Health. RESULTS Five themes emerged regarding implementation of health behavior change: (1) health behavior change resources are enthusiastically received by practices and patients, and when given a choice, patients prefer methods of assistance that involve personal contact; (2) practice extenders require extensive training, as well as careful case management and support, in order to function fully and avoid burnout; (3) integrating behavior change tools into the primary care setting requires time, effort, and often specialized expertise; (4) even simple interventions require practice change, and use of a practice change model to guide implementation efforts is crucial; and (5) research philosophy and project management approaches vary across PBRNs and have implications for the potential sustainability of an intervention. CONCLUSIONS A more versatile, multifaceted solution involving new tools, technologies, and multidisciplinary care teams is needed in order to integrate health behavior change into everyday primary care routines. Even the best interventions require a model to articulate how to integrate an innovation into practices.
Extreme Learning Machine Applied to Software Development Effort Estimation
Authors: Halcyon Davys Pereira De Carvalho; Roberta Fagundes; W. Santos
Year: 2021

The project management process has been used in the area of Software Engineering to support project managers to keep projects under control. One of the essential processes in Software Engineering is to conduct an accurate and reliable estimation of the required effort to complete the project. This article’s objectives are: i) to identify the variables that influence the estimation based on the correlation, and ii) to apply the Extreme Learning Machine - ELM model for effort estimation and compare it with the literature models. Thus, it was investigated which technique has better effort prediction accuracy. The models were compared with each other based on predictive precision in the criterion of absolute mean residue (MAR) and statistical tests. The main findings in this study were: i) important variables for effort estimation and; ii) the results indicated that the ELM model presents the best results compared to the models in the literature for estimating software design effort. In this way, the use of Machine Learning techniques in the effort estimation process can increase the chances of success in the accuracy of the time estimates and the project’s costs.
Interbasin water transfer in the Central Highlands of Vietnam: Impacts and lessons learned
Authors: Dang Thi; Kim Nhung; Nguyen Van Manh; Nguyen Quang Kim
Year: 2023

: In Vietnam, drought has been occurring persistently and in very complicated patterns, with a great impact on the water, energy, and food security nexus and regional development sustainability. The uncertainty surrounding annual water resources in combination with the low reliability of interbasin water transfer (IBWT) operations is the key driver of water deficits in several affected regions. This study aims to assess the impacts of four big IBWT projects in the Central Highlands of Vietnam, based on a proposed matrix of five evaluation criteria to quantify related impacts and to draw out lessons learned for future development of IBWT. The proposed criteria matrix was formulated on the basis of intensive reviews of IBWT assessments worldwide and relevant Vietnamese laws in force. The impacts were analysed and quantified mainly based on assessment of their operational database and water balance simulations for donor and recipient river basins in current and future states. The results show that the studied IBWT projects did not fully satisfy the proposed criteria set, all project did not meet the criteria of benefit sharing and information transparency; noticeably the Don Duong project fulfilled only one from five. Four lessons were determined for proper planning in river basins, flexibility in system design for unknown future, inadequate environmental impact assessment and delay in enactment of policies for IBWT project management. The results provide sound knowledge to revise the existing projects in the Central Highlands and procedures for impact assessment and approval of new IBWT systems.
Situational leadership in project management: empirical research of project managers
Authors: M. Podgórska; Łukasz Detko
Year: 2023

Purpose: The goal of the study was to examine project managers ability to apply different
Is Initiatives in the Vocational and Technical Education Sector of Developing Asian Countries: A Systems Approach to the Management of Project Intervention Processes
Authors: C. Gunawardena; David Brown
Year: 2007

This paper is set against a background of national IS initiatives implemented in the Vocational and Technical Education (VTE) sectors of developing Asian countries through donor agency funded projects, which can be seen as Project Intervention Processes (PIPs). This research is based on a six year research study of IS initiatives implemented in nine VTE sector projects covering Laos, Sri Lanka and Vietnam undertaken through empirical investigations and a review of secondary data. The IS initiatives that were studied focussed on aiding strategy formulation and management in the VTE sector as opposed to classroom based training. The research reveals that the process of managing PIPs using traditional project management theory, which is based on hard approaches, is problematic in terms of generating desirable outcomes from the IS initiatives to address perceived VTE problems. Soft Systems Methodology (SSM) is based on a learning/enquiring cycle and is often used to manage problem situations that are poorly structured. The paper presents two key findings: namely the nature, scope and problems faced by PIP based IS initiatives; and a SSM approach to managing PIP based IS initiatives.
Software Project Management Using Decision Networks
Authors: Thitaree Noothong; D. Sutivong
Year: 2006

The Bayesian networks support resource allocation in software project and also help in analyzing trade-offs among resources. The model predicts the probability distribution of every variable given incomplete data. Even though the Bayesian networks conveniently facilitate scenario-based analysis, they do not support finding an optimal solution in multi-criteria decision making. This paper proposes extending the Bayesian networks into the decision networks to optimize an organizational target and to handle the multi-criteria environment of software project management. Specifically, the decision networks are used to find an optimal set of software activities under constraints of software cost and quality. The preliminary results demonstrate that the Bayesian networks can be easily extended into the decision networks, which then allow for optimization. The proposed methodology provides a flexible process for utilizing the encoded knowledge within the Bayesian networks to facilitate decision making, which could be applicable in other domains of problems
The design and implementation of a workflow system for enterprise project management
Authors: Yun Zhang; Yi Chen
Year: 2011

In Enterprise Project Management, Workflow system can control and manage project process, help enterprise improving efficiency, reduce production cost, and improve enterprise's productivity and competitiveness. This paper designs and implements a workflow system for enterprise project management. The design and implementation technology of workflow system are described. The composition of workflow system has three layers, which include user interface layer, workflow operation layer and data management layer. The system can fulfill the automatic control of project management and implement Multi-task display, process approval, task plan, task assignment and some related work about enterprise project management. Practice verified, the workflow system can be applied in enterprise project management stably and safely.
Investigating the Efficacy of Organizational Effectiveness Tools in IT Projects
Authors: B. Cameron; Megan McCusker
Year: 2005

A qualitative action research investigation of the impact of Organizational Effectiveness (OE) tools in IT projects was conducted in a graduate-level IT project management course offered at a major research university. The results of the research validate the efficacy of OE tools and behaviors in IT project management and consulting. The present study measured the effectiveness of the OE approach, project time, team satisfaction, and client satisfaction on corporate technology projects. The paper identifies and elaborates upon a number of elements that affect project success. Organizational aspects of project management are explored and discussed.
Applying the CDC Science Impact Framework to the results of the National Institute for Occupational Safety and Health and the Bureau of Labor Statistics 2001 survey of respirator use and practices
Authors: Nam-Sik Yoon; M. Ari; Patrick L. Yorio; J. Iskander; Maryann D'Alessandro
Year: 2022

Abstract During 2001–2002, the National Institute for Occupational Safety and Health (NIOSH), at the United States Centers for Disease Control and Prevention, collaborated with the Bureau of Labor Statistics (BLS) at the United States Department of Labor to conduct a voluntary survey of U.S. employers regarding the use of respiratory protective devices. In 2003, the survey results were jointly published by NIOSH and BLS. This study highlights and evaluates the scientific impact of the 2001–2002 survey by using the Science Impact Framework which provides a historical tracking method with five domains of influence. The authors conducted interviews with original project management as well as a thorough document review and qualitative content analysis of published papers, books, presentations, and other relevant print media. A semi-structured and cross-vetted coding was applied across the five domains: Disseminating Science, Creating Awareness, Catalyzing Action, Effecting Change, and Shaping the Future. The 2001–2002 survey findings greatly enhanced understanding and awareness of respirator use in occupational settings within the United States. It also led to similar surveys in other countries, regulatory initiatives by the Occupational Safety and Health Administration and Mine Safety and Health Administration, and ultimately to a renewed partnership between NIOSH and BLS to collect contemporary estimates of respirator use in the workplace within the United States.
PENERAPAN LEAN UX DALAM PERANCANGAN UI / UX WEBSITE MANAJEMEN PROYEK DI PT TELKOM INDONESIA
Authors: Muhammad Fauzan Triananta; Rahadian Kurniawan
Year: 2024

Penelitian ini bertujuan untuk merancang antarmuka pengguna dan pengalaman pengguna bagi aplikasi manajemen proyek berbasis web di divisi Solutions Delivery & Assurance Telkom Regional II. Tantangan utama yang dihadapi adalah kesulitan karyawan berusia 40–50 tahun dalam mengoperasikan sistem aplikasi yang dinilai kurang intuitif. Untuk mengatasi kendala ini, metode Lean UX diterapkan guna menghasilkan Minimum Viable Product yang dapat langsung diuji dan disempurnakan berdasarkan umpan balik pengguna. Tahapan penelitian meliputi deklarasi asumsi, pembuatan wireframe, dan pengembangan prototipe yang kemudian diuji langsung oleh pengguna. Evaluasi menggunakan System Usability Scale (SUS) dilakukan untuk menilai kenyamanan dan efisiensi sistem. Hasil pengujian menunjukkan bahwa desain UI/UX yang baru mampu meningkatkan aksesibilitas dan kenyamanan, dengan skor rata-rata SUS sebesar 81,25 yang tergolong "Usable." Pendekatan ini terbukti efektif dan dapat menjadi model untuk pengembangan UI/UX pada proyek sejenis.
A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors
Authors: Constantinos Stylianou; Simos Gerasimou; A. Andreou
Year: 2012

Software project managers are often faced with challenges when trying to effectively staff and schedule projects. Incorrectly planning and estimating the execution of tasks frequently causes software projects to be delivered late and/or over budget, whereas not selecting the appropriate developers to carry out tasks may produce lower-quality, defective software products. To combat these challenges, this paper presents IntelliSPM -- a tool aiming to support software project management activities consisting of several optimization mechanisms borrowed from the area of Computational Intelligence. The tool takes into account technical aspects but also significant human factors, which have been found to play a crucial role in software quality and developer productivity. The purpose of IntelliSPM is to offer suggestions to project managers containing a set of possible project schedules and staffing strategies that minimizes duration and maximizes resource usage. Several simulated and real-world projects were used during the validation process, with results showing that IntelliSPM is capable of providing that much-needed practical benefit to software companies to improve various aspects of development, such as performance and job satisfaction, whilst keeping within the general objectives and particular constraints of each software project.