derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Developing a Help Desk Service for Enhanced Coordination in Health Informatics Projects: A Sharepoint and Power Automate Approach
Authors: Omid Pournik; Bilal Ahmad; Ashley Peake; Chao Tong; James Churm; Theodoros N. Arvanitis
Year: 2024

Healthcare projects necessitate effective collaboration between clinical and technical partners, particularly during pivotal phases like lab testing and piloting. However, challenges in coordination often impede seamless collaboration, leading to inefficiencies and delays. This paper presents a comprehensive approach to developing a help desk service tailored for CAREPATH projects, leveraging SharePoint services and Power Automate. The solution aims to bridge communication gaps, foster collaboration, and enhance coordination among clinical and technical partners. Through iterative development and testing, we refined the system based on stakeholder feedback, resulting in streamlined workflows and improved document management. During the lab testing phase, the help desk system demonstrated significant improvements in resolution duration, communication efficiency, and success solution rates. Stakeholder feedback highlighted enhanced collaboration and improved access to project documentation. With successful testing, the help desk is poised for implementation in subsequent phases, promising further enhancements in patient engagement, technology integration, and scalability. These findings underscore the critical role of help desks in healthcare ICT projects, offering a transformative approach to project management and stakeholder collaboration. Future directions include enhancing patient engagement, leveraging advanced technologies, and conducting longitudinal studies to evaluate long-term impact. Embracing these directions will drive positive change, delivering better outcomes for patients and caregivers in healthcare ICT projects.
Improving Efficiency in Construction Projects through Utilization of BIM Technology in Construction Project Management
Authors: Lindawati Unbara
Year: 2024

The research method uses a quantitative approach with a population of construction companies that have implemented BIM, and the sample consists of staff and project managers selected by purposive sampling of 100 respondents. The data used is primary and secondary data with data collection techniques via online questionnaires which are analyzed using Pearson correlation analysis and multiple linear regression. The research results show that BIM adoption and supporting factors such as training, infrastructure, and management support have a significant effect on project efficiency, so these findings support broader BIM implementation and improving supporting factors as a strategy to increase efficiency in construction projects. Therefore, it is recommended that construction companies increase investment in BIM technology as well as training and infrastructure support to maximize project efficiency benefits.
PROSPECTS FOR THE USE OF ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT
Authors: М.Н. Гусева; И.С. Брикошина; А.И. Глебанов
Year: 2024

Статья посвящена истории возникновения, проблемам и перспективам использования искусственного интеллекта в проектном управлении. Авторы рассматривают и классифицируют факторы, способствующие и препятствующие эффективной интеграции искусственного интеллекта и проектного менеджмента, а также анализируют состояние и прогнозирую т перспективы развития их «симбиоза» в условиях но ых экономических вызовов.
 The article is devoted to the history of the emergence, problems and prospects of using artificial intelligence in project management. The authors consider and classify the factors contributing to and hindering the effective integration of artificial intelligence and project management, as well as analy ze the state and predict the prospects for the development of their "symbiosis" in the face of new economic challenges.
Monitoring and Sceduling of a Bridge Using Primavera: A Review
Authors: S. Amarendra; Hitesh Kodwani
Year: 2023

The primary objective behind the research is to identify the job role of monitoring and controlling the project progress of construction and procure recourse allocation using management tools such as primavera P6. This was accomplished through revising the literature and procedures used in monitoring and control. The study served as a roadmap for analysing construction progress and identifying specific issues that arose during the process. The findings of the study revealed the shortcomings of the current project management system in project execution. A new project management plan is completed that is both efficient and cost-effective. By allocating more resources to project activities, the time cost trade of the project duration can be lowered. However, doing so raises the project's cost. For scheduling a set of project tasks, the critical route method is employed. Primavera software was also used for resource analysis. In this paper presents review of literature related to planning, scheduling of construction project KeyWord: Resource allocation, Resource Levelling, Time cost trade off, primavera, planning and scheduling.
Enhancing Software Effort Estimation through Reinforcement Learning-based Project Management-Oriented Feature Selection
Authors: Haoyang Chen; Botong Xu; Kaiyang Zhong
Year: 2024

Purpose: The study aims to investigate the application of the data element market in software project management, focusing on improving effort estimation by addressing challenges faced by traditional methods. Design/methodology/approach: This study proposes a solution based on feature selection, utilizing the data element market and reinforcement learning-based algorithms to enhance the accuracy of software effort estimation. It explores the application of the MARLFS algorithm, customizing improvements to the algorithm and reward function. Findings: This study demonstrates that the proposed approach achieves more precise estimation compared to traditional methods, leveraging feature selection to guide project management in software development. Originality/value: This study contributes to the field by offering a novel approach that combines the data element market, machine learning, and feature selection to improve software effort estimation, addressing limitations of traditional methods and providing insights for future research in project management.
Digital Application Objectives and Benefit Analysis of BIM Technology in Large-Scale Comprehensive Development Projects
Authors: Chunhui Yang
Year: 2024

This paper discusses the digital application and benefit analysis of building information model (BIM) technology in the large-scale comprehensive development project of the Guangxi headquarters base. The project covers a total area of 92,100 square meters, with a total construction area of 379,700 square meters, including a variety of architectural forms. Through three-dimensional modeling and simulation analysis, BIM technology significantly enhances the design quality and efficiency, shortens the design cycle by about 20%, and promotes the collaboration and integration of project management, improving the management efficiency by about 25%. During the construction phase, the collision detection and four-dimensional visual management functions of BIM technology have improved construction efficiency by about 15% and saved the cost by about 10%. In addition, BIM technology has promoted green building and sustainable development, achieved the dual improvement of technical and economic indicators and social and economic benefits, set an example for enterprises in digital transformation, and opened up new market businesses.
Emotional Intelligence: A Critical Evaluation of the Literature with Implications for Mental Health Nursing Leadership
Authors: K. Powell; J. Mabry; Sandra J. Mixer
Year: 2015

Emotional intelligence (EI) is necessary for the development of interpersonal and professional competence in nurses. We argue that the concept of emotional intelligence has particular relevance for mental health nursing leadership. In this critique, we examine the recent empirical evidence (2010–2014) related to emotional intelligence, in general, and nursing, specifically. Correlations between emotional intelligence and better overall health, increased work satisfaction, higher spiritual well-being, and decreased risk of job burnout are noted. We offer suggestions for mental health nurse leaders in developing successful project management teams and improving retention of current leaders. We also provide suggestions for future research.
The Road Ahead and Challenges of Revenue Cycle Management in Saudi Governmental Hospitals
Authors: Zainab Alradhi; Abdullah Alanazi
Year: 2023

Healthcare providers use revenue cycle management (RCM) to track patient billing and revenue. The revenue cycle collects data from various systems and compiles it into a single RCM system connected to payers. Effective system integration improves revenue and financial stability. The aim is to assess RCM feasibility in Saudi Arabia’s governmental hospitals, examine financial management, and recommend practical implementation. In this study, healthcare leaders were interviewed face-to-face and via audio recording to collect qualitative data in response to semi-structured questions. Key informants from seven main hospitals were interviewed. Respondents understood RCM and identified internal and external challenges in hospital financial management. Government hospitals face accountability obstacles. Two of the seven surveyed hospitals operate business clinics using a fee-for-service model. The billing system is not integrated with the information system. The RCM system faces challenges such as unclear vision, lack of accountability, staff resistance, process redesign, and importance of project management. Despite these challenges, respondents still value RCM and recognize its importance in improving hospital revenue management. Effective implementation of RCM requires significant transformational processes, including vision, governance, accountability, proper training, and effective monitoring and evaluation processes. Communication should also be emphasized, and the patient’s perspective must be brought into focus. Involving all stakeholders can create direct and holistic patient benefits; therefore, bringing them on board is crucial. New approaches are required to enhance healthcare in Saudi Arabia, addressing gaps in revenue optimization and RCM. Future research should evaluate the move from government-funded to self-operated hospitals, providing a better understanding of the challenges and opportunities.
A Practical Experience on the Amazon Alexa Integration in Smart Offices
Authors: R. Bogdan; A. Tatu; Mihaela Crișan-Vida; M. Popa; L. Stoicu-Tivadar
Year: 2021

Smart offices are dynamically evolving spaces meant to enhance employees’ efficiency, but also to create a healthy and proactive working environment. In a competitive business world, the challenge of providing a balance between the efficiency and wellbeing of employees may be supported with new technologies. This paper presents the work undertaken to build the architecture needed to integrate voice assistants into smart offices in order to support employees in their daily activities, like ambient control, attendance system and reporting, but also interacting with project management services used for planning, issue tracking, and reporting. Our research tries to understand what are the most accepted tasks to be performed with the help of voice assistants in a smart office environment, by analyzing the system based on task completion and sentiment analysis. For the experimental setup, different test cases were developed in order to interact with the office environment formed by specific devices, as well as with the project management tool tasks. The obtained results demonstrated that the interaction with the voice assistant is reasonable, especially for easy and moderate utterances.
OPTIMIZING RESOURCE ALLOCATION AND SCHEDULING IN CONSTRUCTION PROJECTS USING AI & OPTIMIZATION ALGORITHMS
Authors: S. Abishek; P.A Prabakaran; A. A. Bharath; Sindhu vaardhini
Year: 2023

The importance of effective resource allocation and scheduling in construction projects cannot be overstated, as these elements greatly influence project timelines and costs. Traditional manual methods are often slow and error-prone, leading to inefficiencies and delays. As a result, there’s an increasing interest in harnessing artificial intelligence (AI) and optimization algorithms to improve the accuracy and efficiency of resource management in construction projects. Resource allocation, which involves assigning and scheduling resources, is crucial for the economical and efficient use of manpower, materials, and equipment throughout the project. Similarly, a construction schedule acts as a guide, detailing tasks and events along with their respective timelines. This study investigates how the combination of AI and optimization algorithms can transform conventional construction project management methods. By automating resource allocation, AI systems can analyze large datasets and consider various constraints to make informed decisions. Optimization algorithms can then fine-tune these decisions, ensuring optimal resource allocation, reducing downtime, and enhancing project efficiency. This approach offers several advantages, including improved accuracy in predicting resource requirements, fewer project delays, and increased cost- effectiveness. It also allows for real-time adjustments based on evolving project conditions, facilitating adaptive and responsive resource management. Through case studies and practical applications, this research International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 01 | January - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM27863 | Page 2 seeks to showcase the transformative power of AI and optimization algorithms in reshaping resource allocation and scheduling practices in the construction industry. In conclusion, this innovative method has the potential to expedite project timelines, reduce costs, and enhance the overall success of construction projects. Keywords: Resource allocation, Artificial intelligence, Time-consuming, Project delays, Minimizing costs, Optimization Algorithm.
Selected aspects of project management for the implementation of a new standard of cost accounting in health care units
Authors: Grzegorz Głód; W. Głód
Year: 2024

Purpose: The aim of the article is to discuss the most important aspects related to the management of the project of implementing the cost accounting standard in hospitals in Poland. A properly implemented standard is to enable the support of management processes and proper financial management in the health care system at the macro level as well as at the level of the healthcare entity. The first period of operation of these regulations is an opportunity to take stock in this respect. Design/methodology/approach: The research was conducted by using a survey questionnaire. On the basis of the questionnaire survey in 52 hospitals in Poland. The obtained test results were subjected to the basic statistical analyses. Findings: On the basis of the analyses of the results of empirical research, recommendations were formulated regarding the principles of implementation of the cost accounting standard in hospitals and the directions of its effective use in management processes in the future. Research limitations/implications: The utilization of survey research is associated with the presence of subjectivity in assessments by respondents. Originality/value: The article presents important recommendations for health care managers on projects to implement the new cost accounting standard in health care entities in Poland. Keywords: hospital, cost accounting, project management. Category of the paper: Research paper.
Aid Unchained: Examining Development Project Management Practices at Aid Chain Interfaces
Authors: Lena Gutheil; Dirk-Jan Koch
Year: 2024

By analysing a comparative case study investigating a development project implemented in Uganda and Vietnam, the article aims to understand how donor directives travel and translate into actual practices in aid chains. Making use of Norman Long’s concept of the interface, we focus on the interfaces between organizations to examine the negotiation of everyday project practices. Based on practice theory, our analysis unpacks how directives are filtered through the power relationships that shape practices at the various interfaces. We find that organizational relations between southern organizations are just as power-laden as north–south relations. Our analysis also shows that neither the management directives nor the freedoms that were granted to the participating organizations resulted in uniform practices and that practices did not have the same implications for organizations. Hence, the aid chain concept tends to simplify the complexities inherent in project systems comprising a multiplicity of vertical and horizontal organizational relations.
The Challenges of Distributed Scientific Collaboration among Top Scientists--A Case Study
Authors: Airong Luo
Year: 2008

Because of the increasing complexity of research work, distributed scientific collaboration mediated by information technology has become increasingly popular in biomedical science. Such kind of distributed collaboration holds great promises of advancing science by offering opportunities for experts to collaborate across distance. This paper presents success factors and challenges of project management of the biomedical research consortium studied. Primary project management challenges include: to preserve trust and momentum for informal interactions among scientists and maintain effective enforcement mechanism at the same time; to establish an enforcement mechanism among pre-established scientists at the same reputation levels.
Tailoring RUP for LMS Selection: A Case Study
Authors: L. Mendoza; M. Pérez; Gabriela Díaz-Antón; Anna Grimán
Year: 2006

Learning Management System (LMS) development has become a high priority project for educational institutions and organizations, as it provides the virtual environment for online education. Acquiring and deploying a LMS is a difficult task that involves r isks related with costs and time. The goal of this research in progress is to introduce an extension i n the Rational Unified Process (RUP) in order to integrate the activities of selection and evaluatio n of LMS into this process framework. The additions of these activities in the RUP, improve the quality o f the selection process, obtaining a feasible candi date solution that ensure the exposing mismatches and ne gotiating tradeoffs among the critical use cases an d non-functional requirements, architectural and desi gn constraints, project management constraints and risks. These activities are inserted in the Analysi s and Design Discipline during the initial stages o f the project. A case study is presented, implementing an d deploying a LMS in an organization.
Ergonomic sustainability based on the ergonomic maturity level measurement.
Authors: M. Vidal; Carmen Lúcia Campos Guizze; R. Bonfatti; Marcello Silva e Santos
Year: 2012

This paper aims at the application of an ergonomic maturity model (EMM), in order to assess the ergonomic sustainability outreach of ergonomic actions. This proposition was motivated by the widespread sensation that the development of the discipline, its educational devices and related practices depends on the attitude of ergonomics practitioners rather than environmental macroergonomic conditions. Maturity modeling in this paper is undertaken as a tool for ergonomic practitioners. Thus, its foundations were uprooted from diverse fields: Clinic Psychology, Quality Management and Project Management. The paper brings about a detailled explanation of this ergonomic maturity tool. The empirical part is fulfilled by the examination - using the EMM - of four emblematic cases excerpted from our research lab ergonomic portfolio.
Evaluating Artificial Neural Networks and Traditional Approaches for Risk Analysis in Software Project Management - A Case Study with PERIL Dataset
Authors: Carlos Timoteo; M. Valença; Sérgio Fernandes
Year: 2014

Many software project management end in failure. Risk analysis is an essential process to support project success. There is a growing need for systematic methods to supplement expert judgment in order to increase the accuracy in the prediction of risk likelihood and impact. In this paper, we evaluated support vector machine (SVM), multilayer perceptron (MLP), a linear regression model and monte carlo simulation to perform risk analysis based on PERIL data. We have conducted a statistical experiment to determine which is a more 
 
accurate method in risk impact estimation. Our experimental results showed that artificial neural network methods proposed in this study outperformed both linear regression and monte carlo simulation.
Does SoC Hardware Development Become Agile by Saying So: A Literature Review and Mapping Study
Authors: Antti Rautakoura; Timo Hämäläinen
Year: 2023

The success of agile development methods in software development has raised interest in System-on-Chip (SoC) design, which involves high architectural and development process complexity under time and project management pressure. This article discovers the current state of agile hardware development with the questions (1) how well literature covers the SoC development process, (2) what agile methods and practices are applied or (3) what proposals are made to increase the agility, and (4) what is the impact for the SoC community. To answer the questions, a mapping study and literature review were performed. Seven hundred thirty papers were first studied, and eventually, after a rigorous filtering process, 25 papers were thoroughly analyzed. The results show that the popular agile SW development methods are applied in 5 cases, ideas adapted from the agile Hardware manifesto in 9 cases, and 11 cases do not define the Agile HW development method. Most of the papers address shorter development time by better methodologies and tools that indirectly shape the SoC development toward agility. The focus of agile hardware development is mostly on the SoC artifacts and methodological improvements have not been quantified. However, the literature indicates a significant impact on many academic chip prototypes. The challenges are better understood and the interest in agile methods is clearly increasing. The methodological gaps in the prevalent situation encourage further research and more accurate reporting of the development in addition to the SoC artifacts.