derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Application of Agile Methodology in Managing the Healthcare Sector
Authors: Fawaz M. Alotaibi; Riyad Almudhi
Year: 2023

The healthcare sector has gradually embraced effective project management for improved healthcare outcomes. This paper explores the application of the agile methodology for managing the healthcare sector. This study significantly contributes to the healthcare sector by providing insights into the application of Agile methodology, potentially enhancing healthcare management and patient outcomes. In this article, the author reviews ten peer-reviewed articles, analyses the findings, and generates three themes: Agile methodology development and implementation in the healthcare sector, the healthcare sector's readiness factors/levels for applying the agile methodology, and how agile methods improve healthcare outcomes. The findings across the three identified themes reiterate the crucial role of organizational leadership, flexible structures, and advanced technology in enhancing agility within the healthcare sector. Moreover, the studies highlight the potential of agile principles to enhance customer-centricity, customer satisfaction, and overall adaptability in healthcare organizations. The study recommends healthcare institutions priorities Agile competency development through training programs and cultivate a culture of adaptability to support Agile methodology adoption. Furthermore, it suggests quantitative research to validate readiness factors' influence, focusing on patient-centered outcomes and comparative studies between Agile and traditional healthcare approaches to bridge literature gaps.
Stakeholder management in IT development projects: Balancing expectations and deliverables
Authors: Temitope Oluwafunmike Sanyaolu; Adams Gbolahan Adeleke; Christianah Pelumi Efunniyi; Lucy Anthony Akwawa; Chidimma Francisca Azubuko
Year: 2023

Effective stakeholder management is pivotal to the success of IT development projects, where balancing diverse expectations and deliverables is crucial for achieving project goals. This review explores the principles and practices of stakeholder management in IT development, focusing on strategies to align stakeholder interests with project deliverables while navigating potential conflicts and expectations. In IT development projects, stakeholders encompass a broad range of individuals and groups, including project sponsors, end-users, development teams, and external partners. Each stakeholder has unique expectations, requirements, and concerns, which can sometimes conflict or diverge significantly from the project’s objectives. Effective stakeholder management involves identifying these stakeholders, understanding their needs, and employing strategies to balance their expectations with the project’s deliverables. This review discusses key strategies for managing stakeholder relationships, including the use of stakeholder mapping techniques to categorize and prioritize stakeholders based on their influence and interest. It emphasizes the importance of ongoing communication and engagement through regular updates, feedback sessions, and collaborative decision-making processes to ensure stakeholders remain informed and involved throughout the project lifecycle. The review also highlights best practices for balancing expectations with deliverables, such as setting realistic goals, negotiating compromises, and managing scope changes. It addresses the role of project managers in mediating stakeholder interests, resolving conflicts, and ensuring that project outcomes align with stakeholder expectations. Additionally, it explores the impact of effective stakeholder management on project success, including improved stakeholder satisfaction, enhanced project outcomes, and increased project stability. In conclusion, stakeholder management is a critical component of IT development projects, requiring careful attention to stakeholder expectations and deliverables. By employing strategic management practices and fostering open communication, project teams can navigate stakeholder dynamics effectively, leading to successful project execution and stakeholder satisfaction. 
Keywords:  Stakeholder Management, IT Development Projects, Expectations, Deliverables, Stakeholder Mapping, Communication, Engagement, Project Management, Scope Management, Conflict Resolution.
An Agile embedded systems capstone course
Authors: A. Mondragón-Torres
Year: 2013

The objective of this paper is to present the outcomes of an embedded systems senior design capstone course offered for Computer Engineering Technology students. This course has being taught five times using the presented format. At every offering, slight modifications have been done in an attempt to improve the student's experience and engagement. The most important intended learning outcomes for this course are: to enable team collaboration, to learn project management techniques, to develop a product from idea to implementation, and to make a professional presentation of their work to an audience. The innovative practices included in this course are: use of Agile Project Management methodologies, no paper trail all information is in electronic form, emulation of an entrepreneurial experience.
METHODOLOGICAL PRINCIPLES AND INNOVATIVE COMPONENT PROJECT MANAGEMENT OF REGIONAL ENTERPRISES
Authors: Svitlana Podzihun; Mykola Kuzminov
Year: 2023

In the article it is justified the current economic and political environment in Ukraine demonstrates that the country is not keeping up with the international changes taking place. This has a negative impact on society and at the same time becomes the subject of theoretical research. Active cooperation of every enterprise is required for innovative development of the surrounding world. During the research it was established that permanent models of project management by regional enterprises do not meet the needs of today. With the growing urgency of the food crisis and worsening environmental challenges, meeting basic human needs requires not only a new wave of economic growth, but also guarantees that they will also receive their share of the resources needed to support this growth. The article examines what in parallel with the formation of market relations in the economy of our country, profound changes are taking place in the theory and practice of management at regional enterprises. Innovative project management models and market concepts that operate with modern concepts, techniques and methods are introduced. All this is aimed mainly at achieving the goals of regional enterprises and stimulating the improvement of the efficiency of their functioning. In the article it is justified methodological principles and the innovative component of project management of regional enterprises provide for the most efficient execution of the task in view of its purpose, scope, quality, time and financial limitations. However, it is worth emphasizing that the lack of predicted and planned in advance final indicators of the project, the achievement of which is aimed at ensuring the development of the enterprise, makes it impossible to determine the degree of achievement of the set goal. Another important point is that before choosing a project management methodology, you need to carefully understand what the ultimate goal is. If the result of the process of planning and forecasting economic and financial development are clear requirements for the project, you can proceed to the methodology. The project management methodology of regional enterprises is a certain system that allows you to reduce risks, optimize the efforts of employees, avoid duplication of functions and bring mutual understanding to a new level in the team. The main components of the methodology are the principles, methods and rules of working on the project.
Visual Interactions in Software Technology
Authors: G. Wirtz; Kang Zhang
Year: 2007

Software development life cycle involves the activities of project management, requirement analysis and specification, architectural and system design, algorithm design, coding, testing, quality assurance, maintenance, and if necessary performance tuning. Throughout the development cycle, visual means have been playing an important rule in almost all the development activities, such as visual modeling using UML, design using flowcharts, and performance analysis using space-time diagrams, to name only a few. Interactivity among the visual components representing software artifacts and between software systems and the human (developers and users) is the key to the success of the visual assistance to the software development lifecycle.
Teaching Engineering Students to be Consulting Engineers: Transdisciplinary Skills Workshops in Project-Based Learning
Authors: L. Wilkinson; Greg J. Evans; Emily Moore; Todd McAlary
Year: 2019

A simulated engineering consulting project at University of Toronto focuses on the ABET and CEAB graduate attributes that are often challenging to incorporate within the technical curriculum—transdisciplinary skills including communication, professionalism, engineering and society, ethics and equity, project management and lifelong learning. In the project, student teams respond to a request for proposal for an environmental site assessment by producing a letter of intent, an interim and final proposal, and presenting their proposal during a formal client meeting; targeted workshops support student success in the project, while providing a space to formally instruct the transdisciplinary competencies.
Identifying the Importance of Software Reuse in COCOMO81, COCOMOII
Authors: Ch.V.M.K.Hari; Prasad Reddy P.V.G.D.; J. Kumar; G.SriRamGanesh
Year: 2009

Software project management is an interpolation of project planning, project monitoring and project termination. The substratal goals of planning are to scout for the future, to diagnose the attributes that are essentially done for the consummation of the project successfully, animate the scheduling and allocate resources for the attributes. Software cost estimation is a vital role in preeminent software project decisions such as resource allocation and bidding. This paper articulates the conventional overview of software cost estimation modus operandi available. The cost, effort estimates of software projects done by the various companies are congregated, the results are segregated with the present cost models and the MRE (Mean Relative Error) is enumerated. We have administered the historical data to COCOMO 81, COCOMOII model and identified that the stellar predicament is that no cost model gives the exact estimate of a software project.
Legal regulation of inter-municipal cooperation in European countries
Authors: V. V. Olkhovik; E. Juchnevicius
Year: 2024

The subject. Financial relations between municipal entities represent a crucial mechanism for enhancing the efficiency of public service delivery in European countries. Collaborative efforts among municipalities can lead to cost savings and the utilization of economies of scale. This is particularly prominent in countries with a high number of small municipalities. This article aims to identify effective forms of financial activities among municipalities across various cooperation domains and assess the applicability of international experience in the context of the Russian Federation.Methodology. This study analyzes various organizational forms of inter-municipal cooperation, drawing insights from different countries, including Switzerland (associations of districts and cantons), Slovakia (joint municipal institutions, municipal associations, associations of legal entities), and France (syndicates and districts). Special attention is paid to the experience of inter-municipal cooperation in Slovakia, where it is not only a vital component of local government but also a tool for project management, often funded by external sources.The main results, scope of application. The analysis of international experience in inter-municipal cooperation reveals diverse organizational models, each tailored to specific local contexts. Based on this analysis, the authors propose amendments and enhancements to Russian legislation. Implementation of these suggestions could enhance the efficiency of interactions among Russian municipal entities, improve planning capabilities, enhance labor productivity, and optimize public service expenditure.Conclusions. Inter-municipal cooperation, as demonstrated by various international models, offers valuable insights for Russia. Adapting and implementing lessons from abroad can lead to improved governance and resource allocation, ultimately resulting in enhanced service delivery and cost-effectiveness for the benefit of the Russian population.
Evaluation and Application of Bounded Generalized Pareto Analysis to Fault Distributions in Open Source Software
Authors: Chin-Yu Huang; C. Kuo; Shao-Pu Luan
Year: 2014

In general, one of the most important aspects of software development and project management is how to make predictions and assessments of quality and reliability for developed products. Project data usually will be systematically collected and analyzed during the process of software development. Practically, it would be helpful if developers could identify the most error-prone modules early so that they can optimize testing-resource allocation and increase fault detection effectiveness accordingly. In the past, many research studies revealed the applicability of the Pareto principle to software systems, and some of them reported that the Pareto distribution (PD) model can be used to predict the fault distribution of software. In this paper, a special form of the Generalized PD model, named the Bounded Generalized Pareto distribution (BGPD) model, is further proposed to investigate the fault distributions of Open Source Software (OSS). It can be seen that the BGPD model eliminates the issue which occurred in the classical PD model. Three methods of parameter estimation will be presented, and related experiments are performed based on real OSS failure data. Experimental results show that the BGPD model presents high fitness to the actual failure data of OSS. Finally, the possibility of using early limited fault data to predict the later software fault distribution is also studied. Numerical results indicate that the BGPD model can be trusted to consistently produce accurate estimates of fault predictions during the early stages of development. The findings can provide an effective foundation for managing the necessary activities of software development and testing.
Organisational Interventions for Improving Mental Health of Project Management Practitioners during COVID-19 in Architecture, Engineering and Construction Sectors in Australia
Authors: Xiaohua Jin; R. Osei-Kyei; S. Perera; James Bawtree; Ba Tijani
Year: 2023

The introduction of COVID-19-related psychosocial risks to the Australian architecture, engineering and construction (AEC) project organisation has triggered the development of innovative organisational interventions for mitigating the risks and promoting of positive mental health among project management (PM) practitioners. Therefore, the paper aims to explore the COVID-19-related organisational interventions for improving mental health in the AEC project organisation. Through a comprehensive literature review, 20 organisation interventions were retrieved, and an online expert forum was conducted with nine industry experts. The results of the expert opinion confirmed the 20 organisational interventions identified from the literature. Moreover, the organisational interventions were used to develop a questionnaire survey distributed among PM practitioners via convenient sampling. Mean score ranking analysis was used to analyses the survey responses from 58 participants. The research findings show that the identified organisational interventions are important, but are ranked differently by architecture, engineering and construction sectors based on their importance in promoting mental health.
A Data-Driven Artificial Neural Network Approach to Software Project Risk Assessment
Authors: Mohammed Naif Alatawi; Saleh Alyahyan; Shariq Hussain; Abdullah Alshammari; Abdullah A. Aldaeej; Ibrahim Khalil Alali; H. Alwageed
Year: 2023

In the realm of software project management, predicting and mitigating risks are pivotal for successful project execution. Traditional risk assessment methods have limitations in handling complex and dynamic software projects. This study presents a novel approach that leverages artificial neural networks (ANNs) to enhance risk prediction accuracy. We utilize historical project data, encompassing project complexity, financial factors, performance metrics, schedule adherence, and user-related variables, to train the ANN model. Our approach involves optimizing the ANN architecture, with various configurations tested to identify the most effective setup. We compare the performance of mean squared error (MSE) and mean absolute error (MAE) as error functions and find that MAE yields superior results. Furthermore, we demonstrate the effectiveness of our model through comprehensive risk assessment. We predict both the overall project risk and individual risk factors, providing project managers with a valuable tool for risk mitigation. Validation results confirm the robustness of our approach when applied to previously unseen data. The achieved accuracy of 97.12% (or 99.12% with uncertainty consideration) underscores the potential of ANNs in risk management. This research contributes to the software project management field by offering an innovative and highly accurate risk assessment model. It empowers project managers to make informed decisions and proactively address potential risks, ultimately enhancing project success.
The Impact of Maintenance Planning on Large Project Management Performance
Authors: A. Alrashidi; E. Y. T. Adesta
Year: 2021

 Structured methodologies and tools for the tailored design of factories are adopted by suppliers of manufacturing systems but usually discontinued after the design phase.  The use of an ontology-based virtual factory, continuously synchronised with the real plant, is proposed to guarantee digital continuity and enable in-situ simulation during the operating phase.  This digital counterpart of the system can be used for integrated shop-floor simulations to assess production and maintenance planning decisions' future impact. An industrial application is provided in the context of roll shops, i.e., systems devoted to the grinding of cylinders for rolling mills.
Exploring the Impact of Political Patronage Networks on Financial Stability: Lebanon’s 2019 Economic Crisis
Authors: Samar F. Abou Ltaif; Simona Mihai Yiannaki
Year: 2024

Amid Lebanon’s multifaceted economic crisis, this paper explores the intricate dynamics between political patronage networks and financial stability. Grounded in the theoretical frameworks of New Institutional Economics (NIE) and Project Management (PM), the study delves into how entrenched political elites and patronage networks have shaped Lebanon’s financial system, exacerbating vulnerabilities and perpetuating the ongoing crisis. Utilizing qualitative methods including in-depth interviews, document analysis, and case studies, the research illuminates the pivotal role of political actors and their vested interests in economic policies and financial institutions. The findings reveal systemic governance failures, crony capitalism, and institutional decay as underlying causes of Lebanon’s economic stress. In response, the paper proposes a comprehensive framework for governance reform that integrates insights from NIE and PM, emphasizing structured planning, accountability mechanisms, and institutional strengthening. The purpose of this study is not only to contribute to a nuanced understanding of Lebanon’s challenges but also to offer actionable insights for policymakers, academics, and stakeholders to address the root causes of the crisis and pave the way for sustainable economic recovery and revitalization.
Hybrid Project Management: Agile with Discipline
Authors: Olayele Adelakun; Robert Garcia; Ted Tabaka; Redar Ismail
Year: 2017

Effective management of software projects will always be important regardless of the software development method (agile, iterative or waterfall) used. A recent movement in the software development industry towards adopting Agile practices have left many questioning the role of traditional project management. However, in practice companies often struggle with changing established practices. Many companies have adopted hybrid methods to adjust to changing requirements. For many of these companies these hybrid approaches are seen as the best of both worlds as they can leverage the advantages of Agile with the strengths of traditional practices. While researchers have begun proposing ways that these approaches can integrate there remains limited actual academic evidence that describes how these models are being integrated in practice. This research contributes to the knowledge by discussing findings based on a unique approach adopted by the IBM Center of Excellence called Agile with Discipline.
Risk Identification of Data Science Projects: A Literature Review
Authors: Maike Holtkemper; Maria Potanin; Alexander Oberst; Christian Beecks
Year: 2023

While cost, time, and resources are considered to have a high impact on data science projects, risks are the key for the successful implementation of a project. The correct handling of risks has been proven to increase a project’s chances of success. Therefore, awareness of existing and emerging risks as well as their assessment play a major role in data science project management. In 2021, 87 percent of data science projects fail and are thus not implemented successfully. The path of successful implementation of data science projects in companies is more complex and uncertain than for conventional projects, in particular the identification and availability of the necessary skills in a company before and during the project. Regarding software engineering projects, the analysis and evaluation of potential risks is well-known, but for data science projects potential risks have not yet been analyzed at a larger scale. To identify the potential reasons for failure of data science projects, an in-depth understanding of potential risks and measures for mitigation these risks is inevitable. In this paper, we conduct a systematic literature review on risks of data science projects and present the top fifteen risks as first findings. Furthermore, we compare the identified risks to the major risks of software engineering projects to highlight similarities and differences between these two disciplines. The findings of our literature review can be used in guiding the development of future risk assessment systems for complex data science projects.