derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Research Hotspots and Development Trend of Product Data Management
Authors: Jinfa Li; Qianqian Li; Hongbing Jiang
Year: 2019

With the rapid development of information industry and the rapid rise of big data technology, enterprises have adopted product data management (PDM) for information construction. Using CNKI database of China Knowledge Network as data source, the keywords of "product data management" or "PDM" were retrieved, and the keywords of PDM were extracted by co-word Analysis Using cluster analysis, multi-dimension analysis, social network analysis and strategic coordinate map analysis, this paper discusses the focus areas of product data management in China, and makes Visual Analysis With a view to enterprise product data management to provide a certain reference. Results a total of 2168 articles were included Through cluster analysis, it is concluded that enterprise information software integration technology, product structure and configuration management, PDM system project management, product design and development product, whole life cycle, key technology of PDM system, application of PDM system information field are the current hot research.
Ramanov Contractors: Adoption of Project Risk Management Framework
Authors: Milind T. Phadtare
Year: 2024

The case deals with the concept of project risk management and its adoption in a small-sized contracting firm. It demonstrates the dilemma faced by a typical small-sized contracting firm vis-à-vis setting project objectives, defining key elements for structuring the risk management process, number of data points, choice of techniques of different steps involved in project risk management and development of a team to practice the process flawlessly. The case would be suitable for postgraduate students of the management programme as well as participants of management development programmes on project management.
AI-driven risk mitigation: Transforming project management in construction and infrastructure development
Authors: Rasheed O. Ajirotutu; Baalah Matthew; Patrick Garba; Segun Olu
Year: 2024

This study explores the transformative role of artificial intelligence (AI) in risk mitigation within construction and infrastructure development, addressing the growing complexities of modern project management. The purpose of the study was to evaluate how AI technologies, frameworks, and strategies can mitigate environmental, economic, and social risks while fostering sustainability and operational efficiency. Utilizing a multidisciplinary approach, the research integrates theoretical and practical perspectives to examine AI’s applications, ethical considerations, and future trends in project management.
The study identifies predictive analytics, Internet of Things (IoT)-based monitoring, and blockchain technology as pivotal tools for enhancing decision-making, resource optimization, and transparency in project workflows. It underscores AI’s significant contributions to sustainability through climate-resilient design, energy-efficient systems, and environmentally compliant practices. Ethical and legal frameworks emerged as essential to ensuring the equitable and responsible deployment of AI, focusing on data privacy, accountability, and algorithmic fairness.
Key findings demonstrate that AI-driven risk mitigation enhances project outcomes by reducing delays, minimizing costs, and fostering inclusivity. Applications in public health campaigns and social housing highlight AI’s capacity to address societal challenges while advancing sustainability goals. However, the study also identifies critical challenges, including organizational resistance, data quality limitations, and regulatory gaps, which hinder the full integration of AI technologies.
The study concludes that AI is a transformative force in risk mitigation, offering innovative solutions to the multifaceted challenges of modern project management. To fully leverage its potential, the research recommends fostering interdisciplinary collaboration, developing adaptive ethical and legal frameworks, and advancing AI integration with emerging technologies like IoT and blockchain. Investments in education and training are also emphasized to bridge technical knowledge gaps and empower stakeholders.
Celebrating IT Projects Success: A Multi-domain Analysis
Authors: Paul L. Bannerman; A. Thorogood
Year: 2012

This paper proposes a multi-domain framework for defining information technology (IT) project success. There has been much discussion in the literature on the definition of project success but no consensus is emerging. A key problem is the multiplicity of expectations and perceptions of project performance. A reference framework for IT project success would support development of the discipline by providing a common language for communication and comparison as well as focusing on what stakeholders perceive as important. The framework builds on and extends criteria in the literature that relate to stakeholder interests. The framework contains five domains of success: process, project management, product, business and strategic. The domains are orthogonal and not for composing greater degrees of success. Assessing success in any one domain is independent of performance in other domains. Case examples illustrate application of the framework.
Integrating Graduate Design Coaches in Undergraduate Design Project Teams
Authors: Lance Powers; J. Summers
Year: 2009

This paper describes how a graduate mechanical engineering student was employed as a design coach on a senior undergraduate design team working on the development of a low-cost, low-volume plastic injection modeling machine. Traditional undergraduate design teams are formed with novice, inexperienced engineering students with limited training in project planning and management. By introducing a graduate engineering student who is formally trained in design methods and project management and who has experience in design practice, it was felt that the undergraduate students could focus more on the engineering design aspects of the project, similar to the work that they would experience upon graduation. For the graduate design coach, four roles were identified: design tool teacher, design reviewer, project manager, and, in this unique case, customer. A critique of the roles, including the time spent in each, is provided. This experience proved more satisfactory to both the students and the industry sponsoring customer than had been the case with similar projects.
Implementation of Using AI to Manage Known and Unknown Risks in Risk Management
Authors: Wenbo Zhao
Year: 2023

This paper provides insights into a new methodology for monitoring and predicting known and unknown risks in the field of risk management in project management through Artificial Intelligence (AI). The novel methodology can significantly reduce the difficulty of using AI for risk management and thus maximize its spread in the private sector. A mathematical model is built by using AI to quickly screen potential risk factors and quickly determine the degree of correlation between each influencing factor and the observed risk. The AI is then used to continuously observe the influencing factors over a certain period of time, and the mathematical model is used to calculate the possible trend of the risk, and ultimately to know the exact impact of the risk before it arrives, and to prepare for the execution of the project. According to the case simulation, using this methodology, it was concluded that over the next year, the U.S. Steel Index would continue to decline until it reached a low of 630.61 in April, but rebounded to 1,428.95 just one month later, an increase of about 126%, with no significant downward trend in the coming months. Therefore, the project manager can avoid overspending the project budget by saving as much as possible before this risk arises, or by purchasing materials in advance. In addition, by forecasting, the project manager can raise the urgency and danger of the risk to the stakeholders, and obtain support for project changes in advance of the risk.
A Contingent Model of Project Organization and Management
Authors: M. Aljawder; Joseph G. Davis
Year: 2013

There is a presumption in project management research and practice that project management follows a “one size fits all” model. This is manifested in the introduction of many prescriptive models by project management bodies such as the Project Management Institute and the Association of Project Management, to name a few. These generic models steer away from the differences across projects and focus only on the common aspects of projects. However, in many circumstances, the generic nature of such models renders them poorly equipped to deal with the challenges of organizing and managing complex projects. In this paper we present a contingent model that has the potential to deal with environmental variability and constraints. This model is based on two contingent factors: location of work and project complexity. It develops four types of projects based on two contingent dimensions and proposes a few related hypotheses.
Electronic Health Record Project Initiation and Early Planning in a Community Health Center
Authors: K. Cortelyou-Ward; A. Noblin; Jeremy Martin
Year: 2011

Community health centers exist to help their constituents become proactive in addressing their own health care needs and to improve the overall well-being of the community. However, they pose a different set of challenges when implementing an electronic health record system. This article applies 2 project management principles, initiation and early planning, to the electronic health record implementation in a community health center. Issues such as planning, financial considerations, and quality improvement are discussed.
Effect of Project Management Information System on Projects Performance in Rwanda: A Case Study of New Life Women’s Development Project
Authors: Diane Ukundwanayo; Ephrard Rulinda
Year: 2024

The study titled "Effect of Project Management Information System on Project Performance in Rwanda: A Case Study of New Life Women’s Development Project in Kicukiro District (2018-2022)" aimed to assess various Project Management Information System (PMIS) dimensions, evaluate the project's performance, and analyze the impact of PMIS on performance outcomes. The study adopted a quantitative research design, surveying 36 employees of the project using questionnaires for data collection. Both descriptive and inferential statistical analyses were performed, revealing significant insights. The information quality dimension of PMIS received a high mean score of 4.6145, demonstrating its effectiveness. System quality also scored well, with a mean of 4.5793, while service quality, despite a notable mean of 4.5055, did not significantly influence performance. Functionality quality stood out with a high mean of 4.6825, while user satisfaction had a mean of 4.6389, reflecting its importance in project management. Regression analysis revealed that information quality (β1 = 0.331, sig. = 0.000) and functionality quality (β4 = 0.551, sig. = 0.000) had significant positive effects on project performance, whereas service quality showed no significant impact (β3 = -0.036, sig. = 0.619). Based on these findings, the study recommends that the New Life Women’s Development Project fully adopt and utilize PMIS, with a particular emphasis on generating high-quality information to enhance project management effectiveness and overall performance
From Nobel Prize to Project Management: Getting Risks Right
Authors: B. Flyvbjerg
Year: 2006

A major source of risk in project management is inaccurate forecasts of project costs, demand, and other impacts. The paper presents a promising new approach to mitigating such risk based on theories of decision-making under uncertainty, which won the 2002 Nobel Prize in economics. First, the paper documents inaccuracy and risk in project management. Second, it explains inaccuracy in terms of optimism bias and strategic misrepresentation. Third, the theoretical basis is presented for a promising new method called “reference class forecasting,” which achieves accuracy by basing forecasts on actual performance in a reference class of comparable projects and thereby bypassing both optimism bias and strategic misrepresentation. Fourth, the paper presents the first instance of practical reference class forecasting, which concerns cost forecasts for large transportation infrastructure projects. Finally, potentials for and barriers to reference class forecasting are assessed.
COVID-19 PANDEMIC СONCLUSIONS RELEVANT FOR PROJECT MANAGEMENT IN HEALTH CARE
Authors: Валерий Тамазович Корхмазов; Владимир Иванович Перхов
Year: 2023

На примере анализа показателей федерального проекта «Борьба с сердечно-сосудистыми заболеваниями» рассмотрены организационные проблемы применения проектных методов управления в здравоохранении. Показано, что за счет реализации мероприятий федеральных проектов существенно увеличились государственные расходы на здравоохранение и объемы оказываемой населению медицинской помощи. Однако, несмотря на огромные дополнительные объемы финансирования, результаты реализации проекта остаются довольно неопределенными. Демографические потери остановить не удается, качество медицинской помощи ухудшается, расходы населения на платные медицинские услуги растут. Особую тревогу вызывает высокая смертность населения в трудоспособном возрасте, особенно среди лиц мужского пола. Это явление в современных социально- экономических и геополитических условиях приобретает катастрофический характер, так как оказывает значительное влияние на обеспеченность общества рабочей силой, обороноспособность страны. В условиях инфекционной пандемии система здравоохранения становится чрезвычайно зависимой от действий и финансирования со стороны государственного бюджета. И поэтому в кризисных ситуациях необходимо изменять структуру и направления расходов, осуществлять не только корректировку целевых показателей, но и гибкое планирование, которое на случай чрезвычайных ситуаций обеспечит максимальную клиническую и экономическую эффективность медицинской деятельности.
 On the example of the analysis of indicators of the Federal project “Fight against Cardiovascular Diseases”, organizational problems of implementation of design methods of management in health care are considered. Federal projects proved undoubted growth of funding health care and of volumes of the provided medical care. However, despite the huge additional amounts of financing, results of implementation of the project remain quite uncertain. Demographic losses failed to bereduced, the quality of medical care worsens, population expenses on paid medical services grow. Special concern is caused by high level of mortality of working-age population, especially among males. This phenomenon in both modern social-economic and geopolitical conditions becomes catastrophic as having an important negative impact on provision of society with labor resources, and defense capability of the country. In the conditions of an infectious pandemic health care system becomes extremely dependent on decisions and financing from the state budget. Therefore in crucial situations it is necessary to change structure and the assignment of expenses, exercise not only correction of target indicators, but also flexible planning which in case of emergency situations will provide the maximum clinical and cost efficiency of medical activity.
PERSPECTIVES IN INNOVATION MANAGEMENT
Authors: Ms. Yuvika Singh
Year: 2013

Interest in the concept of innovation has increased during recent years. Innovation management includes a set of tools that allow managers and engineers to cooperate with a common understanding of goals and processes. The focus of innovation management is to allow the organization to respond to an external or internal opportunity, and use its creative efforts to introduce new ideas, processes or products. The main innovation management dimensions are process, organization structures, strategies and people. Innovation is not just a fantasy it’s the concept of either innovate or die. Its main definition is to recognize the main problem, to solve the problem, to find the best solutions. To invest in innovation and just hope for the success is just the old concept, now the new concept is to invest in innovation and expect fully for the success. Optimum profitability can be obtained by having a balance between innovation pressure and ability to innovate. Innovation processes can either be pushed or pulled through development. A pushed process is based on existing or newly invented technology, that the organization has access to, and tries to find profitable applications to use this technology. A pulled process tries to find areas where customer’s needs are not met, and then focus development efforts to find solutions to those needs. Common tools include brainstorming, virtual prototyping, product lifecycle management, idea management, TRIZ, stage-gate process, project management, product line planning and portfolio management.
Pierre Breau et les enjeux du dessin d’architecture au temps de Colbert
Authors: A. Cojannot
Year: 2017

Pierre Breau and the Concerns of Architectural Drawings during Colbert's Time. 
From the beginning of his career around 1660 until his fall for malfeasance in 1683, the architect Pierre Breau gained recognition as an important and singular actor in the royal architecture at the beginning of the personal reign of Louis XIV,especially as the associate of the king's masonry contractors and as chief of construction at the sites of the Louvre and the Tuileries, then as superintendant Colbert's man of confidence and director of his private works in Paris and in Sceaux, and then finally as controller of the King's buildings in Clagny and in Versailles. The nature of his activities can be analyzed in light of the very numerous graphic documents that he, himself, produced or had executed by the draughtsman in his hire. Of exceptional quality, this documentation reveals the increasing importance accorded to architectural drawing as a tool for technical, administrative and legal control, in the service of more exacting project management. It thus sheds light on the evolution of the architect's responsabilities in the process of the execution of works and the necessary development of his professional entourage, at a time when the first "agencies" appeared.
Models of Content Management of Infrastructure Projects Mono-Templates under the Influence of Project Changes
Authors: Dmytro Kobylkin; O. Zachko; R. Ratushny; A. Ivanusa; Carsten Wolff
Year: 2021

A thorough study of the process of managing the content of infrastructure projects monotemplates under the influence of project changes was carried out. During the study, was carried out a systematic analysis of the implementation processes of infrastructure projects, programs and project portfolios. A model of formation the modification factor of changes in the content of infrastructure projects, programs and project portfolios at the planning stage was developed, which made it possible to identify the process of modification the content of the infrastructure project under the influence of changes. Based on the systematization of the dependence matrix was constructed a graph of influence dependences of modification factor of changes on different levels of projects, programs and portfolios of infrastructure projects during the life cycle. The study of the subject area allowed to expand the terminological base of project management, programs and portfolios of infrastructure projects by formalizing the concept of "changes in infrastructure projects, programs and project portfolios. The model of content management of infrastructure project mono-template under the influence of project changes is presented. The model is formed on the basis of application of DSR mono-template of infrastructure project and taking into account 5 stages of infrastructure project content management. 4 classes of deviations of infrastructure projects content under the influence of project changes at the planning stage are formed and their quantitative range of distribution is presented. The practical formalization of the developed models with the representation of the corresponding mathematical dependences was carried out.
Managing large HW/SW Codesign projects
Authors: Carsten Wolff; I. Gorrochategui; M. Bucker
Year: 2011

HW/SW Codesign [4] is a strategy to develop highly optimized systems composed of both electronics hardware and software. Examples are smartphones, consumer electronics or embedded systems. The challenge is to achieve an optimized split by partitioning the system components into hardware and software and to achieve the best project execution time (and cost) by developing both hardware and software concurrently [1]. If such systems contain hundreds of highly interdependent hardware and software components, the R&D project for such a system becomes large and very complex. Since more HW/SW systems are developed and since the complexity is growing, a specialized project management methodology for this kind of projects is emerging. Our contribution is focused on giving a practical overview of the challenges and best practices for the management of such projects. The findings are based on more than 10 years industrial experience with various large smartphone and consumer electronics projects. Currently, these findings are evaluated in a research project. This contribution gives an overview on the scope and future targets of this project.
Identification of critical success factors (CSFs) for successful project management in manufacturing sector
Authors: Muhammad Nadeem Zia; Aqueel Shah; S. A. Khan; A. Najib
Year: 2024

PurposeThis research has been carried out to study the impact of critical success factors (CSFs) on successful project management of projects in the manufacturing sector. These success factors will pave the way for the successful completion of projects for the manufacturing sector. CSFs play a vital role in the timely conclusion of projects in any organization. For the projects to be successful certain essential factors must be taken into account. These essential factors are identified through this research.Design/methodology/approachDuring this study an adaptive survey of the literature was conducted, after a detailed literature review certain success factors were identified for project management in the manufacturing sector. The number of success factors was reduced to 40 factors based on the level of incidence in the literature. The length of the questionnaire was also given due importance to make the survey more interesting and effective. After that Fuzzy Delphi Method (FDM) was employed to screen the most essential factors. In the end, the Fuzzy Analytical Hierarchical Process (FAHP) was used to rank these factors in order of importance.FindingsProject Manager Leadership Skills, Economic Environment, Top Management Support, Project Planning, Clear and realistic Goals, and Financial Support have come out to be the most important CSFs for successful project management in the manufacturing sector.Originality/valueThis is novel research to identify CSFs for project management in the manufacturing sector. Previously, most of the studies remained focused on construction and software projects.