derhan/semantic-scholar-manajemen-proyek huggingface dataset:
How do we conduct a national transfusion related lookback program?
Authors: Nicole Priddee; Tiffany Pietrek; Lorna McLintock; Elizabeth Masterson; Megan Rowley; Kirsty Roy; A. Yeung; Ike Anya; Daniel Carter; Stephen Barclay; Celia Jackson; Gill Hawkins; Nicola Steedman
Year: 2024

BACKGROUND
Lookback investigations are conducted by blood services when a risk of transmission of infection from a donor to a recipient has been identified. They involve tracing transfusion recipients and offering them testing for the relevant infectious agent. Results are relayed to the recipient to provide reassurance that there has been no transmission or to ensure appropriate treatment and care if required, and blood services are able to learn lessons from the planning, delivery, and outcomes of the investigation. A national lookback exercise was conducted in Scotland following the introduction of a test to identify occult hepatitis B infection, as recommended by the UK Advisory Committee for the Safety of Blood, Tissues and Organs (SaBTO) in 2021.


METHODS AND MATERIALS
This paper outlines the development and delivery of a national lookback program. It discusses the logistical, economic, ethical, regulatory, and scientific issues that were considered during the planning and delivery of the lookback exercise.


RESULTS
Development and delivery of a national lookback required robust governance, engagement of all relevant stakeholders and a shared understanding of aims, effective communication, systems, resources, limitations, and project management. Outcomes included a high testing uptake, low levels of reported anxiety, and a comprehensive data set.


CONCLUSION
Key aspects for delivery of a successful large-scale lookback program include a patient-centered approach, clear and accessible communication, and whole-systems multiagency collaboration. Major challenges include stakeholder engagement and capacity.
A Systematic Interdisciplinary Engineering and Technology Model Using Cutting-Edge Technologies for STEM Education
Authors: Zhenhua Huang; E. Kougianos; Xun Ge; Shuping Wang; P. D. Chen; L. Cai
Year: 2021

Contribution: A systematic interdisciplinary engineering and technology instructional model using cutting-edge technologies is proposed in this research. This model consists of four key components: 1) interdisciplinary collaboration; 2) hands-on projects; 3) real-world simulations; and 4) cutting-edge technologies. The model was designed to engage students in the real-world engineering projects and experience through the following activities: 1) performing the design, fabrication, and lab testing; 2) modeling and analyzing testing samples; 3) conducting on-site experiments; and 4) performing data processing and analysis. Background: Engineering programs are challenged by the rapid development of innovative technologies. To address this challenge, it is required to provide engineering graduates with “soft skills” for the capability of project management, especially the communication and collaboration among disciplines through university education. Therefore, it is desired to develop a systematic interdisciplinary engineering and technology educational strategy. Research questions: 1) is the proposed systematic interdisciplinary instructional model appropriate and feasible to be integrated into the engineering curriculum? 2) what were the students’ perceptions and experiences about the interdisciplinary model? 3) does the interdisciplinary model facilitate engineering students’ soft skills, such as interdisciplinary communication and collaboration? and 4) does the interdisciplinary model help to enhance engineering students’ real-world professional experience, develop design thinking and problem-solving skills, which will help them to transfer their learning experience from the classroom setting to the real-world setting? Methodology: A systematic interdisciplinary engineering and technology model was developed, implemented, and evaluated. Findings: The feasibility and effectiveness of the proposed systematic instructional model were validated by various data sources. The tested model is recommended for broader adaptation in various STEM disciplines.
Intelligently Predict Project Effort by Reduced Models Based on Multiple Regressions and Genetic Algorithms with Neural Networks
Authors: Zhenyou Li
Year: 2010

Estimating the amount of effort required for developing a software system is one of the most important project management concerns. This study successfully produces an optimal reduced linear model for software cost estimation by employing a series of methods of multiple regressions to identify the most significant explanatory variables of the fifteen COCOMO cost drivers. The results yielded by the linear models are then compared with their counterparts obtained from the simulation using genetic algorithms with feed-forward neural networks (NN) with back-propagation learning algorithms. The performance of the resulted optimal reduced linear model is very close to that of the full regression and neural network models, and is also comparable to that of the COCOMO ’81 intermediate in terms of MMRE and Pred (25). As both linear and nonlinear reduction methods described in this paper are applied and the most significant nine explanatory variables selected among the fifteen COCOMO cost drivers in these reduced models are the identical and their effort estimation accuracy is highly acceptable, the reduced models can be concluded as accurate and robust.
Risk Management Strategies for Waste-to-Energy Projects Utilizing BOT Models
Authors: Xinggang Jie; Yinggang Jie
Year: 2024

Since the 1990s, with the implementation of the reform and opening up policy, the rapid development of China's economy, the progress of urbanization is getting faster and faster, and as one of the urban wastes, the treatment of domestic waste has also attracted more and more attention. The municipal solid waste incineration treatment, and the heat generated after combustion is used to generate electricity, referred to as "garbage incineration power generation", because this way can make the waste to reduce, harmless, and can be converted into part of the electricity, because it is widely used in the treatment of municipal solid waste by local governments. Due to the shortage of government funds, most domestic waste incineration projects are implemented in BOT mode. Waste incineration power generation projects are often a large investment, for investors, the recovery period is long, the technical requirements are high, the investment agreement signed with the government is also very complex, coupled with the imperfect supporting laws and policies in China, so that the process of waste incineration power generation projects have many problems and risks, through the operation, construction, investment and other links. Based on the theoretical content of risk management in project management and combined with practical cases, this paper puts forward countermeasures and suggestions for important risks in the project, so as to analyze and discuss the risks of garbage incineration BOT project. Firstly, this paper investigates and collates the research situation of relevant projects at home and abroad, and systematically summarizes the project research results from three aspects, namely, BOT risk management of waste incineration power generation projects, BOT model of projects and BOT project risk research. Secondly, the multi-case study method was used to analyze the risks of 3 typical waste-to-power generation BOT projects, collect risk factors, construct risk aggregation, and summarize 5 types of key risks and 14 kinds of risks. Then, according to the BOT agreement signed with the government side, the specific risk management method is proposed. The goal of this study is the LF waste incineration power generation project. The author participated in the project and identified and evaluated the project risks through risk list and hierarchical analysis, so as to find out the main risks in the project such as government risk, public opinion risk, completion risk and operational risk. In addition, in combination with the project risk, specific risk coping strategies are proposed according to the risk coping strategies proposed in the paper and the actual situation of the project, so as to reduce the degree of project risk and reduce risk losses. For other similar projects in China, there is reference and reference significance and value.
Sustainable construction projects management in the AEC industry: analysis and visualization
Authors: Xiaoyan Jiang; Heyang Zhou; Mengyun Li; Kun Lu; Sainan Lyu; S. Omrani; Martin Skitmore
Year: 2023

Abstract Within the last decade, sustainable construction projects (SCPs) management has become a hot topic in the architecture, engineering, and construction (AEC) industry covering from building materials to the construction process. This study aims to systematically analyze literature concerning SCPs management between 2000 and October 2022 to improve the researchers’ overall understanding of SCPs management. From an objective analysis of co-occurrence keywords obtained by scientometric analysis, this study visualizes and conducts a detailed discussion about active studies and research trends. After discussing environmental, economic, and social sustainability indicators and their integration, the methods for improving SCPs management are summarized by a theoretical model. These methods include waste management, energy management, construction materials management, low-carbon management, green rating system, sustainable design, lean construction, knowledge management, capability building, value management, and implementation of new technology. Finally, future research directions are proposed, such as the social sustainability of different phases, the improvement of green rating systems, the development of green technologies, the collaboration of normative guidelines from different countries, and so on. This scientometric review explains the state-of-the-art research of SCPs management and encourages more interdisciplinary research involving relevant sustainability areas.
Improving Health Analytic Process through Project, Communication and Knowledge Management
Authors: S. Ahangama; D. Poo
Year: 2015

A health analytics process model is necessary to carryout projects in a manageable and a repeatable way without having to rely on the individual skills and experiences. This study is one of the first steps in developing a comprehensive process model for health analytics. Literature suggests that successful IT systems require project management, communication management and knowledge management dimensions. This paper explores the inter-relationship among these supporting dimensions on health analytic project performance based on apriori determinability of project requirements as per their difficulty and clarity. The data were collected by one author working as an intern in a health analytic department of a hospital. The findings from this case study will be useful in developing and evaluating a well-defined process model as well as a theoretical model to represent health analytics process model usability.
A case Study of Fat and Release of Hydrogen in Sewage Sulfide During the Management of Sewage Projects
Authors: S. N. Hussein; R. F. Alrubaye; Yasser Nassar
Year: 2024

During sewage projects, management appears Hydrogen sulfide (H2S) emission-related odours have been a problem in sewage project networks for decades. One of the gases that directly harms employees and network infrastructure is hydrogen sulfide gas. Using the TOXCHEM software, the network of the Al-Hur project in Karbala, south of the Iraqi capital, Baghdad, was simulated for three main lines of different diameters 630, 315, and 1000 mm, each with a diameter of 1000 meters, they are connected to a main manhole by drop structure, and then to the lift station. Samples for these diameters were collected for two seasons (summer and winter) with all the necessary parameters of this network to be included in the model. The model was validated for the two seasons, and the results were very close to reality after being examined in a statistical way, where the results of R and RMSE were (0.821 and 0.821) and (0.000462 and 0.000184) for Summer and Winter, respectively. Sensitivity analysis studied wastewater characteristics with different levels of H2S loading rate, flow rate, suspended solid concentration, oil/grease concentration, and temperature. The results showed that all emissions in these networks are dangerous, especially in the summer when the emissions concentrations for pipe 315, pipe 630, pipe 1000, drop 315, drop 630 and the lift station were 7.6, 6.2, 2.5, 8.01, 3.78 and 6.06 ppm, respectively. By utilizing a TOXCHEM model, the study helped to understand the fate and emission of hydrogen sulfide gas in all parts of the networks.
Unraveling Value Co-destruction in Tourism: A Deep Dive into the Portuguese Hotel Industry
Authors: Maria Nascimento Cunha
Year: 2024

The state of the art presented here aims to bring theoretical contemplations about the co-destruction of value. The term “co-destruction” is now used in the hospitality service environment to describe the phenomenon in which multiple actors interact and integrate their resources to realize valuable benefits, yet their collaborations result in a decline of the well being of at least one of the participating actors. In the recent past, scholars have begun to dedicate their attention towards destructive relationships as a critical component of organizational life, facing it from various points of view, such as trust and partnering, project management, and relational coordination. The investigation was quantitative and adopted the survey method. To measure the proposed hypotheses, a unique conceptual model was developed with leadership support, supportive organizational climate, value co-destruction, and commitment to value co-creation as constructs. Data was collected from the hospitality Continental Portugal and islands, where 1,200 responses were obtained for analysis. The respondents were all hospitality employees. Key findings revealed that leadership support was commanding in comparison to the other constructs based on how high it loaded as a factor. In addition, a high perception of a supportive organizational climate among service employees will result in a low occurrence of value co-destruction in their organization. Further research direction on the subject is suggested. Keywords: co-destruction, co-creation, hospitality sector, employees
Process Management in Distributed Project Teams
Authors: R. Vaskiv; Nataliia Veretennikova
Year: 2024

The paper examines approaches to managing the processes of coordination and distribution of tasks in distributed project teams in the IT industry, which work in geographically dispersed Agile environments. The focus is on developing a team member selection model that considers the experience, performance, and geographic location of members of distributed teams for effective task performance. The proposed functional model makes it possible to take into account the main factors and dependencies affecting the decision-making process in distributed teams, in particular functionality, time availability and geographical compatibility. This helps to minimize risks and increase the efficiency of project management, which is especially important in the rapidly changing IT market. The limitations of the model are analyzed and ways of further exploration are suggested.
Implementing agile management practices in the era of digital transformation
Authors: Joseph Chukwunweike; Opeyemi E. Aro
Year: 2024

In the era of digital transformation, organizations face unprecedented technological changes that demand a shift toward more adaptive and responsive management practices. This paper Analyses how organizations can strategically implement agile management practices to navigate these rapid changes effectively. Agile management emphasizes flexibility, collaboration, and customer-centricity, enabling organizations to respond swiftly to market dynamics and evolving customer needs. By adopting frameworks such as Scrum, Kanban, and Lean, companies can enhance their management processes, fostering a culture of continuous improvement and innovation. The paper explores the fundamental principles of agile management and their relevance in the context of digital transformation. It discusses how cross-functional teams, iterative development, and regular feedback loops can facilitate quicker decision-making and enhance collaboration among stakeholders. Additionally, the integration of digital tools, such as project management software and communication platforms, supports agile methodologies by streamlining workflows and improving transparency. Key considerations for successful implementation include aligning agile practices with organizational goals, investing in employee training, and promoting a mindset that embraces change. The paper highlights real-world case studies demonstrating the successful application of agile management in various industries, showcasing its potential to improve responsiveness and operational efficiency. Ultimately, this analysis underscores the critical role of agile management practices in enabling organizations to thrive amidst the challenges of digital transformation
A Two-phased Risk Management Framework Targeting SMEs Project Portfolios
Authors: C. Ponsard; Fabian Germeau; Gustavo Ospina; Janelle Bitter; H. Mende; R. Vossen; R. Schmitt
Year: 2019

Managing project risks is challenging for many enterprises, especially smaller ones, because they generally only have very limited method or tool support, i.e. basic, qualitative and rather short term reaction to the occurrence of risks. This results in higher vulnerability and reduced competitiveness. This paper proposes a risk management framework fitting SMEs needs by providing a way to adequately quantify risks and address them at two levels. First, an Analytical Hierarchy Process (AHP) is used to perform cost-benefit analyses of the possible mitigation actions assessed through Monte-Carlo simulations. Second, an on-line optimisation tool is used to make sure the planning is following the minimal risk path and reschedule mitigation action as soon as a risk has materialised. To address the limited SMEs resources, the core components are provided as Open Source with a clean application programming interface for easing integration with existing tools. A reference integration with the Open Source Redmine project management tool is also provided.
Managing Large E-learning Development Initiatives
Authors: M. McMahon
Year: 2011

This paper reports on a research consultancy undertaken for the Flexible Learning Framework in reviewing management processes undertaken as part of Series 13 of Flexible Learning Toolboxes. Toolboxes are e-learning products that cover multiple Units of Competency in National Training Packages. In the 13th iteration of the project a number of initiatives were implemented designed to support the development of 7 Toolboxes. The research explores the role of documentation and communication processes and their impact on the development experiences of key stakeholders such as the designers, developers and managers of the products. Findings identified a number of important factors with regard to the use of design documentation and project management processes that are important to successful development as well as some recommendations for future iterations.
The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means
Authors: Paweł Karczmarek; W. Pedrycz; D. Czerwinski; A. Kiersztyn
Year: 2020

In this study, we present the results of surveys conducted in a group of employees and students of IT faculties presenting the answers to the most important, in our opinion, issues related to software engineering (SE), IT project management, and programming paradigms. The above topics are chosen because of their high relevance to the professional community. The participants taking part in the experiments quantified their input through the process of pairwise comparisons (a so-called Analytic Hierarchy Process, AHP) using an innovative highly interactive approach based on a graphic communication means. The generic AHP method was augmented by the optimization mechanisms delivered by the Particle Swarm Optimization (PSO) in order to deliver the highest possible consistency of responses of the participants. Moreover, we demonstrate a method based on Fuzzy C-Means (FCM) filtering highly inconsistent and unreal experts’ assessments. In a series of experiments, we demonstrate the accuracy and stability of the AHP method based on graphical environment. We discuss two variants of aggregation of experts’ opinions according to their level of experience in the field of interest. Finally, we show the efficiency of the FCM as the method of preselection of experts’ evaluations.
Identifying and mitigating risks of software project management in global software development
Authors: Saad Yasser Chadli; A. Idri
Year: 2017

Managing global software projects is a difficult task further complicated by the emergence of new risks inherent to the dispersion of stakeholders. Project managers of Global Software Development (GSD) projects deal with challenges related to geographical, temporal and socio-cultural distance. The aim of this paper is to identify mitigation strategies intended to counter partially or fully the effects of risk factors related to the management of GSD projects that are available in literature and update the list of risk factors proposed in a previous research. This study proposes a framework for the Software Risk Management (SRM) of GSD projects designed to help practitioners identify risk factors and alleviate their effects through a list of recommended mitigation strategies. Using a systematic literature review (SLR), 39 risk factors and 58 mitigation strategies were identified and classified using a framework inspired from Leavitt's model of organizational change. Results show that the mitigation strategies identified in this SLR target 38 out of 39 risk factors, indicating a high academic interest in resolving the challenges of managing GSD projects. Results also reveal that the list of risk factors submitted in this paper and compiled using a different set of selected studies, concurs with the list introduced in a previous research.
Approaches for Measuring Software Project Management Effectiveness
Authors: K. Demir; J. Michael; J. Osmundson
Year: 2009

Evaluating, monitoring, and improving the effectiveness of project management can contribute to successful acquisition of software systems. According to our empirical studies on a range of software development projects, half of the variation in software project success ratings may be explained by project management effectiveness measurements. To improve the quality of the management, to focus our improvement efforts on the right issues, and to increase the odds of success in software projects, it is essential to measure the effectiveness of software project management. In this paper, we introduce four different approaches for measuring software project management effectiveness. Two of these approaches discussed in this paper were successfully used in the development of a metric for software project management effectiveness. The contribution of this paper is the introduction of these approaches for guiding the researchers for the development of other project management metrics.