derhan/semantic-scholar-manajemen-proyek huggingface dataset:
[Possibilities of application of modern training methods (project activities) in training health care organizers on the example of a military medical educational organization].
Authors: Trishkin D. V.; Makiev R. G.; Sviridova T. B.; Khan N. V.; Kamynina N. N.
Year: 2020

The efficiency of health care and the quality of medical care can be improved by implementing modern management methods and technologies. It requires modern and high-quality training of medical management personnel. Qualified personnel are the key factor in the organization and transformation of the health system. Human resources ultimately ensure the efficiency and effectiveness of the entire health sector. Requirements to economic management methods are changing and increasing, and specialists with skills in managing medical organizations at different levels of the healthcare system are becoming in demand. At the level of the constituent entities of the Russian Federation, the role of medical personnel who possess strategic methods of healthcare management is increasing. Available training programs in leading higher educational institutions of medical profile do not fully fulfill these tasks due to limited time, a large volume of lecture material, and frequent changes in the conditions and tasks of health care. These problems can be solved by optimizing training programs for retraining and advanced training of health care organizers, introducing active training methods such as business games, case methods, and project activities into the curriculum. The paper describes the system of training students for training courses in the field of healthcare and public health through planning and implementation, project management in the context of military educational organizations of the Ministry of Defense of the Russian Federation, the statistical analysis of the training effectiveness, the factors that influence the success of development programs.
Homeostatic approach to the formation of an information product of an organization's management system
Authors: Ivan Oberemok; Nataliia Oberemok; N. Bushuyeva
Year: 2021

It is quite difficult to ensure not only the survival but also the successful expansion of the organization in a constantly changing environment. Existing management systems do not adapt well to constantly changing conditions. Therefore, there is a need to develop approaches that can adapt the organization's management system to a constantly changing environment. Adaptation can be achieved by making changes to the existing management system. Given the uniqueness of the development process of the management system, it is possible to implement it using the methods and tools of project management. The key requirements for the choice of methods and tools for project management is flexibility in the management and formation of project products. When defining products, it is necessary to focus on the degree to which the values of the organization's interested parties are satisfied. Using a value-oriented and homeostatic approach, it is proposed to determine which values and stakeholders are insufficiently satisfied. Stakeholders whose values, in their opinion, are insufficiently satisfied, can sever relations with the organization, which can lead to its closure. The homeostatic approach allows product selection to be able to meet the values of a critical stakeholder without disrupting relationships with other stakeholders. It is possible to solve such a critical situation in the shortest possible time provided that an intangible product is created and presented to the interested party. It is possible to ensure the creation of an intangible product in such the shortest possible time using flexible methods and project management tools. Flexible methods and tools will allow you to create and integrate elements of the organization's management system, taking into account the constantly changing requirements of stakeholders.
A Laboratory Testbed for Embedded Fuzzy Control
Authors: S. Srivastava; Vidya Sukumar; P. Bhasin; D. A. Kumar
Year: 2011

This paper presents a novel scheme called “Laboratory Testbed for Embedded Fuzzy Control of a Real Time Nonlinear System.” The idea is based upon the fact that project-based learning motivates students to learn actively and to use their engineering skills acquired in their previous years of study. It also fosters initiative and focuses students' attention on authentic real-world problems. At the same time, it enhances their learning. Students gain hands-on experience and improve their skills in product development, self-directed learning, teamwork, and project management. There has been a tremendous rise in the popularity of intelligent control techniques like fuzzy logic for use in industrial control applications in recent times. These techniques, which were primarily conceived for nonlinear control applications, are best implemented using embedded controllers, which can use their capabilities to the maximum. While courses in electrical and computer engineering cover several areas like digital and analog integrated circuits, microprocessors and control Systems, and process control, few of these integrate all these areas with focus on the application of intelligent techniques in real-time systems. Also, there is a growing need in industry for engineers who can perform software design and system integration for various applications in embedded control. This paper aims at developing such a practical task as one of the major projects in the eighth semester of the program offered by the Instrumentation and Control Engineering (ICE) Department of Netaji Subhas Institute of Technology (NSIT), Delhi University, India, to design a real-time embedded controller implementing an intelligent control technique, fuzzy logic, for control applications. These applications might, for example, be level control, flow control, or pressure control. The paper discusses an example of a real-time pressure control system for which a microcontroller-based fuzzy proportional-integral-derivative (PID) controller has been simulated and implemented with satisfactory results.
Establishment of indicator system for risk assessment of Sino-Russian interstate projects based on fuzzy analytic hierarchy process
Authors: Xiaohan Wang
Year: 2024

Sino-Russian interstate projects are generally with the characteristics of large scale, long duration, high technical content, and multiple participants. In the process of project implementation, it will inevitably be affected by many objective conditions such as economy, management, and technology, resulting in certain risks and uncertainties. Therefore, the key factor to improve interstate project management is to control and reduce project risk from the whole life-cycle of the project. Through literature and case analysis, the evaluation indicators suitable for Sino-Russian interstate projects are reasonably selected. Further, through certain methodology, a comprehensive evaluation of risk indicators and guidance for project management is the purpose. The author uses expert interview, brainstorming, and questionnaires to further organize the risk list. The formation of the hierarchical structure and the construction of the risk factor hierarchical model is the first step and important foundation of the Fuzzy Analytic Hierarchy Process (FAHP) method. The article describes the establishment process of this risk factor hierarchical model in detail. It lays the foundation for the subsequent fuzzy complementary judgment matrix and risk factor importance ranking. The final results provide scientific references for Sino-Russian interstate project management.
Effective strategies of construction project management and construction quality in the new era
Authors: Kerui Luo
Year: 2024

: It is clearly pointed out in the report of the 20th National Congress of the Party that "we must speed up the construction of a new development pattern and strive to promote high-quality development" and "we must adhere to high-quality development as the theme". In the context of China's sustained economic growth, the construction industry has experienced many years of rapid development dividend period, and along with the national economy from speed to quality transformation, and into the high-quality development stage. The high-quality development in this stage has the characteristics of green, digital and industrialization, which is also a new feature of the development of the construction industry in the new era. Based on this, on the basis of the new characteristics of the development in the new period, based on the actual construction project management and construction quality management, this paper explores the effective path of the development of the construction industry.
Event management - A special kind of project management
Authors: Peter J. A. Reusch; Pascal Reusch
Year: 2013

Event management is a strong and fast growing profession with a rather low level of standardization. Often we take event management as a part of project management, but we have to consider that event management has very specific concepts and issues, and needs further developed methods and tools. We classify events, we compare project management and event management, we reconsider standards in both areas, and discuss perspectives for a stronger standardization of event management in the future.
Development of an optical measurement system for strain determination in concrete structures
Authors: M. Mineo; D. H. Alustiza; D. Aredes; J.P. Ciciarelli; G. Castiglioni; E. Vaio; N.A. Russo
Year: 2024


 Health monitoring activities in concrete structures are
 crucial tools in Civil Engineering for both maintenance processes
 and durability assessment. These activities carry significant
 economic implications within the field of civil projects. At the
 regional level, locally produced products and services for such
 monitoring are lacking. This deficiency is likely due to the high
 costs associated with importing and deploying such systems, thus
 limiting the implementation of structural health monitoring
 practices. However, strain measurement is a key parameter in
 structural monitoring techniques, and optical sensors have emerged
 as attractive alternatives due to their inherent advantages over
 conventional technologies. Recognizing the potential benefits and
 economic impact of such systems in civil project management, and
 noting the void in the regional market, this article presents the
 results of a technological development undertaken as part of a
 start-up technological project. Specifically, an optical system was
 designed, implemented, and tested for strain measurement in concrete
 structures using locally manufactured fiber optic sensors based on
 Bragg gratings.
Factors Influencing the Performance of Department of Public Works and Highways Field Engineers: Input for Supervisory Project Management Plan
Authors: Roderick Floria; Susana Ala
Year: 2024

The Department of Public Works and Highways (DPWH) plays a critical role in shaping infrastructure projects in the Philippines, with field engineers at the forefront of any project execution. This study was conducted to determine the factors influencing the performance of field engineers at the DPWH, considering the individual, team, and organizational factors. Using a descriptive-correlational research design, the study was conducted at DPWH Eastern Samar District Engineering Office, with 30 field engineers who served as the respondents. Mean and standard deviation were used to analyze the data, while Pearson’s correlation was used to test the hypothesis. The key findings revealed that factors such as technical skills (r=0.306), experience (r=0.162), and motivation (r=0.332) have nothing to do with performance, with p-values higher than 0.05. On a team level- leadership and management (r=0.407) are critical to success. Sufficient resource allocation (r=0.356) drives better performance at the organizational level. The research stressed the importance of providing continuous professional development to field engineers to enhance their technical know-how and leadership capabilities. Likewise, supportive leadership that fosters collaboration and communication among teams is vital to achieving project goals. On an organizational scale, efficient resource management and well-defined policies are necessary for field engineers to perform effectively and efficiently. It is suggested that to improve project outcomes, the DPWH should implement targeted training programs, foster leadership that encourages teamwork, and ensure adequate resource distribution. Also, refining organizational policies can help create a more structured and supportive environment for field engineers to improve individual and team performance and ensure efficient use of resources, ultimately enhancing infrastructure development in the Philippines.
Business Game for PMBoK Standard Training of Pro-ject Managers
Authors: I. Kononenko; O. Stepanova; Karina Bukrieieva; O. Kononenko; N. Kryvinska
Year: 2020

Among the approaches to project management that are widely used in the world, the PMBoK standard should be noted. Training project managers for this standard is widespread. Business games can be applied to consolidate the knowledge gained during the study of the standard, as well as to master the approaches to decision-making when using it. An analysis of the literature showed that there is a fairly large range of business games for training project managers, but there is no game that would be devoted to studying the processes of the PMBoK standard and making decisions regarding the application of these processes, taking into account their costs and the risks that they eliminate. The purpose of the work is to create a business game that will allow to model decision-making by the project management team to create engineering products using the PMBoK standard. Since every year more and more IT products are used in engineering production, such a game will be relevant for mastering the management of IT projects in this area. The work suggests a business game. The idea of the game is that the members of the project management team make moves on the playing field. At the same time, they fall into one or another management process or the process of creating and putting into production new products. Next, the player must choose a management process from the PMBoK processes that is most appropriate for the situation, taking into account its cost and risks that can be eliminated when applied. The winner is the team that got the best result in a multi-criteria sense, i.e. spent less money and the total remaining risk for all processes is less. The judge sums up the result using a generalized criterion.
Assessing the impact of artificial intelligence on project efficiency enhancement
Authors: A. Kozhakhmetova; Almas Mamyrbayev; A. Zhidebekkyzy; S.A. Bilan
Year: 2024

The study explores the impact of artificial intelligence (AI) technologies on project management (PM) across different industries. It aims to assess how AI adoption in PM affects project efficiency. The study surveyed 159 project supervisors and specific project managers implementing projects from 7 industries in the Republic of Kazakhstan: software, green energy, engineering, construction, science, transport, and tourism. The research used variance and linear regression analyses to evaluate the relationship between AI adoption and project efficiency level measured by the Likert scale from 1 to 5 and test the associated hypotheses. The results show that AI adoption varies among industries, with software, construction, and scientific projects being the most active users. The study also found that the use of AI differed across eight project performance domains, with the stakeholder domain using voice technologies and process automation and the uncertainty domain using fewer tools. Projects with higher AI adoption rates showed higher efficiency scores (for example, in Software projects, the AI adoption rate is 3.2; the efficiency rate is 3.3), while those with lower efficiency levels (for example, in the Tourism industry, the AI adoption rate is 1.9; the efficiency rate is 2.2) showed the worst results. Decision-making systems, process automation, and voice technologies are the three most critical AI technologies PM professionals use to improve project efficiency.
Acknowledgments This research has been funded by the Committee of Science of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP19680313).
The PROMIS project: industry and university learning together
Authors: A. Shenhar
Year: 2014

The inherent differences that exist between an industrial organization and academia are usually a barrier preventing these two parties from working together. A case where these differences have been bridged is reported here. The case involved a study on advanced techniques for project management that was conducted jointly by a large aerospace company and a school of business administration managing a program in technology management. The study was called PROMIS (Project Management Improvement Study) and it was the first step in a long–term program aimed at improving the project management capabilities of the organization. The paper describes the differences between the parties, their objectives for the project, the methodology, and the benefits gained.
Circular economy: On the road to ISO 59000 family of standards
Authors: G. Arana-Landín; Waleska Sigüenza; B. Landeta‐Manzano; Iker Laskurain‐Iturbe
Year: 2023

The article aims to analyse the experience regarding the adoption of the voluntary French standard XP X30‐901, used as the main reference point to design the ISO 59004 that will define the terminology, principles and guidance to provide a common understanding of the circular economy. After an analysis of its structure, based on a case study conducted in a pioneering company, the study provides an innovative contribution to the understanding of the adoption of Circular Economy Project Management Systems by companies to move towards CE through XP X30‐901, explaining the main drivers and barriers, the standard's adoption process and the effects in the results. The main enabler is considered its experience working with an integrated management system. The adoption has helped to integrate actions to improve the indicators of the seven areas considered by the standard: Sustainable Sourcing, Eco‐design, Industrial Symbiosis, Functional Economy, Responsible Consumption, Extending Lifetime and Efficient Management of Materials at the end of life. Overall, the company appears to be satisfied with the adoption, mainly, because it has helped it to structure actions to improve its circularity indicators. However, the need for capital to develop the investments has been the most important barrier.
A Concept of QCD Prediction and Control in Agile Software Development for Portfolio Management
Authors: K. Jinzenji; D. Hamuro
Year: 2018

Agile software development is gradually increasing recently, while metrics for productivity of existing methodology such as plan-driven development are not always suitable for agile development. In addition, existing metrics such as velocity are effective for developers by measuring micro status, but they occasionally do not indicate macro status such as QCD (quality, cost, and delivery) for management such as PMO (project management office). We propose a new QCD concept and prediction scheme for agile software development featuring "value" delivery that comes from LEAN. Experimental result shows measured and predicted project quality and development period can be utilizing personnel and budget assignment.
Software Project Risk in the Public Sector
Authors: Paul L. Bannerman
Year: 2007

Controlling risk in software projects is a major contributor to successful outcomes, in both the private and public sectors. Few studies investigate risk management in the public sector. This paper reports a study of risk practices in government agencies in an Australian State. It finds that risk management practices lag behind project management practices and that there is scope for improvement in both. Ten major risk factors are identified. Also, some conventional conceptions of project and risk management are challenged. The paper concludes by discussing implications of the findings for research and practice in the public sector.
Antecedences of the success of crowdsourcing projects in developing crowd-capital: role of project learning and social support
Authors: W. Lin; Hong-Ren Chen; Yueh-Min Huang
Year: 2021

ABSTRACT This paper aims to investigate the antecedents of how crowdfunded projects succeed over crowdsourcing platforms (CFPs) on the Internet. As CFPs make quite a large number of open innovations feasible, little is known about knowledge sharing and cross-project learning (CPL) in association with the success of crowdfunded projects. No study has considered the success of CFP projects in terms of gaining crowd capital with respect to generating ideas, achieving innovation or meeting the budget plan. However, the notion of project learning occurring on CFPs is essential. Therefore, this paper first adopted theories of project management and social exchange in one study. A developing region in the Asia-Pacific area is selected for examination as a case study. By doing so, it fills the gap in terms of the scarce research on this type of market, which is full of potential and possibilities. An empirical study was conducted on 43 project teams that had successfully won crowdsourcing projects. The results reveal that CPL in relation to project learning and esteem support in relation to social support are both positively associated with the success of crowd-funded projects. The discussion, implications and contributions of the study are presented at the end of the paper.
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN MANAGEMENT: CURRENT TRENDS, CHALLENGES AND PROSPECTS
Authors: Olha Kuznietsova
Year: 2024

This article explores the trends, challenges, and prospects of applying artificial intelligence (AI) in modern management. AI plays a crucial role in streamlining processes, automating tasks, and supporting decision-making at both operational and strategic levels. Two primary applications are emphasized: as a tool for developing managerial algorithms and as a means to enhance employee behavior for more efficient teamwork. Key benefits of AI include fast data analysis, scenario forecasting, and minimizing the influence of human error. AI also improves project management, resource optimization, and internal communication. However, its implementation involves ethical dilemmas, legal constraints, and associated risks, highlighting the need for further research and improvements in legislation.