derhan/semantic-scholar-manajemen-proyek huggingface dataset:
THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING THE EFFICIENCY AND QUALITY OF INVESTMENT PROJECTS
Authors: Ali Kareem Abuzabiba; Zainab Qasim Jebur Al-Nasrawi; Kareem Qasim Jebur Al-Nasrawi
Year: 2024

Artificial intelligence (AI) is a modern technology that has transformed the management of investment projects. Artificial intelligence offers a wide range of opportunities to improve the efficiency and quality of investment projects in a variety of ways, including data analysis, and the ability to process vast amounts of data that enables artificial intelligence to effectively analyze historical and current data. This helps to make more accurate decisions and a deeper understanding of potential trends and challenges, improving planning helps artificial intelligence to improve planning processes and identify potential risks. Using smart forecasting models, investors can estimate different impacts and identify optimal scenarios for maximizing returns on investment and improving project management. Artificial intelligence can improve project management processes by predicting and identifying potential problems early, allowing immediate corrective action, and avoiding unforeseen delays. Improved decision-making contributes to improved decision-making capacity by providing thorough analysis and comprehensive reports. This supports investors and leaders in making informed decisions based on accurate and prompt information.
Ambiguity and Knowledge Asymmetry in Knowledge-Intensive Projects - The Case of Enterprise System Implementations
Authors: P. Lech
Year: 2022

Background: This research aimed to examine the interrelations between ambiguity and knowledge asymmetry in Enterprise System implementation projects and determine how ambiguity and knowledge asymmetry affect the management of such projects. Enterprise System projects are a subgroup of knowledge-intensive business service projects. Literature regarding knowledge-intensive business service firms acknowledges ambiguity and knowledge asymmetry between the supplier and the client as essential characteristics of their relationship. However, insufficient empirically grounded research has been made to date to determine the interrelations between the two phenomena and their impact on the project management of knowledge-intensive projects. Method: The research was based on a multiple case study method. Five cases of Enterprise System implementation projects were selected using literal replication until theoretical saturation was achieved. Data collection methods involved participant observation and analysis of documentation. Results: Knowledge asymmetry was identified as a factor significantly increasing ambiguity in the projects subject to this study. As the project parties had different knowledge bases, the information transmitted by the sending party could not be appropriately interpreted by the receiving party. Co-production, i.e., joint synchronous work of the client and the consultant, was the means to overcome knowledge asymmetry and ambiguity. The phenomenon of problem-solution entanglement was also observed: the proposed solutions impacted the definition of the problems and vice-versa, which led to a revision and revisiting of problems considered to be already solved. Conclusion: This research showed that knowledge asymmetry and resulting ambiguity had consequences for project definition, contracting, planning, and execution. Due to different knowledge bases, project parties could not interpret the information they received correctly. Therefore, synchronous work, resulting in an incremental reduction of knowledge asymmetry and ambiguity as well as constant reconciliation, revision and revisiting of problems and solutions, were necessary during the whole project life-cycle.
A Discuss of the Application of Project Management in the Non-project-involved Organizations
Authors: Yonggui Liu; Bing Liu
Year: 2010

This paper shows that project management exists in all organizations, only the form and degree of which exist varies from the different conditions of organizations. The paper introduces the background of the project management, and conceptions and methods of project management. Linked to the practice of the enterprise management, the paper studies the deficiency of the form and the application of project management in organizations, and proposes the thought, methods and tools as well as key points of resolving the problems about its applications.
Success Factors for Technology Transfer in Government Laboratories
Authors: D. Jin; Xiaofan Mo; A. M. Subramanian; K. Chai; C. Hang
Year: 2016

The success rate of technology transfer from government laboratories is quite low. This paper combines findings from academic research and government policy reports to provide valuable managerial insights. We conclude that technology transfer factors identified so far actually relate to four management processes: project management, strategy management, innovation management, and relationship management. Case interviews are further conducted to validate the findings.
Increasing the Value of Research: A Comparison of the Literature on Critical Success Factors for Projects, IT Projects and Enterprise Resource Planning Projects
Authors: Annie Maddison Warren
Year: 2016

Since the beginning of modern project management in the 1960s, academic researchers have sought to identify a definitive list of Critical Success Factors (CSFs), the key things that project managers must get right in order to deliver a successful product. With the advent of Information Technology (IT) projects and, more recently, projects to deliver Enterprise Resource Planning (ERP) systems, attention has turned to identifying definitive lists of CSFs for these more specific project types. The purpose of this paper is to take stock of this research effort by examining how thinking about each type of project has evolved over time, before producing a consolidated list of CSFs for each as a basis for comparison. This process reveals a high degree of similarity, leading to the conclusion that the goal of identifying a generic list of CSFs for project management has been achieved. Therefore, rather than continuing to describe lists of CSFs, researchers could increase the value of their contribution by taking a step forward and focusing on why, despite this apparent knowledge of how to ensure their success, ERP projects continue to fail.
Emergency-Mobilization Management Model: Incident-Management
Authors: М.Н. Кондратьева; Н.С. Архангельский; Д.Д. Свирина
Year: 2022

В сообщении рассматривается аварийно-мобилизационная модель управления, которая является частью инцидент-менеджмента и подразумевает наличие системы быстрого реагирования на нештатные события в процессе проектного управления. Осуществляется исследование инцидента как метода управления чрезвычайными ситуациями. Проводится сравнительный анализ практик управления инцидентами в таких странах, как Российская Федерация, Соединенные Штаты Америки и Япония. Рассматриваются два состояния национальной модели управления – при стабильном и нестабильном состоянии системы, а также положительные и отрицательные последствия для проектной деятельности при каждом условии.
 The report discusses the emergency mobilization management model, which is part of incident management and implies a system of rapid response to abnormal events in the process of project management. The investigation of the incident as a method of emergency management is carried out. A comparative analysis of incident management practices in countries such as the United States of America, Japan and the Russian Federation is being conducted. Two states of the national management model are considered - with a stable and unstable state of the system, positive and negative consequences for each condition on project activities.
An Experience Report: Integrating Oral Communication and Public Speaking Training in a CS Capstone Course
Authors: Shirin Haji Amin Shirazi; Mariam Salloum; Annika Speer; Neftali Watkinson
Year: 2024

Capstone or senior design courses are a key feature of most Computer Science programs as they provide students with authentic project experiences. Capstone courses usually focus on technical skill development, but we recognize that students will greatly benefit from developing communication skills. Within Computer Science, mastering such skills is essential for explaining and documenting system design, tackling development as a team, or leading large projects. Additionally, computer scientists need to be able to communicate their expertise to outside audiences such as funders, policymakers, customers, etc. However, studies have shown that students lack experience-based training to communicate functionally and practically. In this paper, we describe our experience with a targeted intervention within a capstone course in Computer Science. During the course, students complete a senior project while receiving training on team and project management, public speaking, and leadership. We evaluated the impact of the intervention on improving students' speaking skills and confidence by deploying surveys before and after the intervention. We observed a significant improvement in confidence and mastery of technical and non-technical oral communication skills. We also highlight how this training was particularly beneficial for underrepresented students within the discipline.
Understanding Collaboration in Global Software Engineering (GSE) Teams with the Use of Sensors: Introducing a Multi-sensor Setting for Observing Social and Human Aspects in Project Management
Authors: Georgios A. Dafoulas; C. Maia; Almaas A. Ali; J. Augusto; Victor Lopez Cabrera
Year: 2017

This paper discusses on-going research in the ways Global Software Engineering (GSE) teams collaborate for a range of software development tasks. The paper focuses on providing the means for observing and understanding GSE team member collaboration including team coordination and member communication. Initially the paper provides the background on social and human issues relating to GSE collaboration. Next the paper describes a pilot study involving a simulation of virtual GSE teams working together with the use of asynchronous and synchronous communication over a virtual learning environment. The study considered the use of multiple data collection techniques recordings of SCRUM meetings, design and implementation tasks. Next, the paper discusses the use of a multi-sensor for observing human and social aspects of project management in GSE teams. The scope of the study is to provide the means for gathering data regarding GSE team coordination for project managers including member emotions, participation pattern in team discussions and potentially stress levels.
Assessment Features of Project Acceptability and its Planning Errors in Management Activities
Authors: T. V. Nerusheva; Nataliya N. Zaytseva
Year: 2023

Project management technologies are considerably developed and it is associated with the use of modern approaches in this area. Project planning, correctly conducted project evaluation, foresight of the mistakes that may be made in development and implementation of the project will have direct impact on the success of a new commercial enterprise. Projects are a promising direction of the organization development. Projects vary in size, field of activity, and the number of participants. It is important to determine the goals of planning and the requirements for them. Neglecting any point in the plan will lead to the fact that the result of the project will be at risk. Despite all the risks of project activity, projects can be profitable, be progress engines and develop people's skills in the field in which the project is being implemented.
Evaluation model design of project construction safety level based on bidirectional recurrent neural network (BiRNN) and bidirectional long short-term memory (BiLSTM)
Authors: Ming Ge; Yongbo Yuan
Year: 2024

Integrating deep learning methods for multi-element regression analysis poses a challenge in constructing safety evaluations for building construction. To address this challenge, this paper evaluates the integration of construction safety by quantitatively analyzing practitioners’ information and on-site construction conditions. The analytic hierarchy process (AHP) method quantifies construction safety capabilities, considering four key aspects: operators’ primary conditions, organizational personnel’s working conditions, on-site management conditions, and analysis of unsafe behaviors. A comprehensive set of 19 secondary causal factors is constructed. Furthermore, a hybrid model based on bidirectional recurrent neural network (BiRNN) and bidirectional long short-term memory (BiLSTM) is developed for construction safety evaluation, enhancing the model’s generalization ability by introducing the Dropout mechanism. Experimental results demonstrate that the fusion of BiRNN and BiLSTM methods outperforms traditional methods in construction safety evaluation, yielding mean squared error (MSE) and root mean squared error (RMSE) values of 0.48 and 0.69 and mean absolute error (MAE) and mean absolute percentage error (MAPE) values of 0.54 and 3.36%, respectively. The case study affirms that BiRNN-BiLSTM can accurately identify potential safety risks, providing reliable decision support for project management.
Quality management for design – Bid-build versus design-and-build contracts for infrastructure projects
Authors: Esat Gashi; Marjan Ivezaj
Year: 2023

Selecting the construction delivery method during the contracting period is one of the most important decisions determining the quality of large-scale infrastructure projects. Infrastructure projects have the most complex production processes in civil engineering. Infrastructure projects are among the most complex and resource-intensive endeavours in civil engineering due to their size, scope, multidisciplinary nature, regulatory requirements, financing challenges, environmental considerations, and the need for long-term planning and maintenance. Effective project management, collaboration, and a deep understanding of these challenges are crucial for the successful execution of infrastructure projects. Implementing such projects inevitably demands proper quality management throughout the project lifecycle. Two primary types of construction contracts are under implementation worldwide: Design-Bid-Build (DBB) and Design–and–Build (DB) contracts. In the Western Balkans region, both types of contracts are utilized for infrastructure projects, A noticeable trend is emerging toward transitioning from DBB to DB contracts. This paper provides a comprehensive analysis of quality management within the context of construction contracts with a focus on the roles and responsibilities of key stakeholders and how these factors affect the achievement of quality objectives while managing constraints related to cost and time. This research aims to improve construction practices by selecting an adequate type of contract for construction practices and ensuring successful project outcomes.
Improving Collaborative Learning and Global Project Management in Small and Medium Enterprise
Authors: S. Quade
Year: 2011

Globalization needs Collaboration. In a multi-national setting traditional issues of collaboration are exacerbated because of language and culture. This problem is particularly felt by small and medium-sized enterprises (SMEs) , which are traditionally not â??natural born globals
Integrating System Modeling with Project Management - A Case Study
Authors: Jonas Helming; J. David; M. Kögel; Helmut Naughton
Year: 2009

In software engineering projects, there are two different types of modeling tools. On the one hand, there are tools to model the system under construction, i.e. tools for requirements or UML tools for design. On the other hand, there are tools to model the project itself such as project management tools, bug trackers, or tools to model the organizational structure. In typical software engineering projects, the artifacts managed using these two types of tools are not integrated with each other. This makes traceability, e.g. from a task to the according part of the specification, rather difficult. Furthermore, entities belonging to the system model, for instance requirements, have to be modeled redundantly in management tools if they are used for planning purposes. We also claim that specifications are more likely to be kept up-to-date if they are integrated with frequently visited views such as task lists. This paper presents a case study, in which the system under construction as well as the project management was modeled with a single unified tool. The paper focuses on how this approach can solve the above-mentioned issues. We present additional benefits, unsolved issues, and chances for future research using such an approach.
Assessment of the Effectiveness of Risk Management Practices in the Performance of IT Projects
Authors: Ruth Peter Makambajeki; E. Mjema
Year: 2023

This study assessed the effectiveness of risk management practices in the performance of IT projects. This study was guided by Project Management Theory. The study employed a mixed research approach, a mixed research approach and descriptive research design. The study was conducted at the Tanzania Revenues Authority Head Office in Dar es Salaam, the targeted population of this study is 200 and the sample size was 133 obtained suing simple random sampling techniques and purposive sampling techniques. in this study data was analysed using quantitative and qualitative techniques. The findings show that management practices are very essential in the implementation of the IT projects. It was also shown that effective project implementation depends much on the effective risk management practice because it is through them that risk can be mitigated for the sustainability of the IT projects. moreover, the results obtained through correlation analysis shows that Risk Assessment Practices (RAP) correlated (r (125)> .568, P< .000), Risk Response Practices (RRP) correlated (r (125)> 452, P < .000), Risk Response Practice (RRP) and the performance of IT Projects (PIP). Lastly Monitoring and Control Process (MCP) had a correlation of (r (125)> 652, P < .000. The results of this study concluded that there is a positive and significance relationship between risk management practices and the performance of IT projects. Despite of these supportive findings this study recommended for the proactive management of project risk because IT project implementation is subject to the limitation challenges and risks, thus through proactive management of project risk a comprehensive assessment of risk and preparation of a suitable management plan can be activated. The study recommended further research be conducted on the assessment of the effectiveness of implementation approaches toward project sustainability.
Statistical analysis of US government supply chain contract breaches
Authors: K. Strang; Maria Perez
Year: 2021

Approximately half of US government supply chain procurement contracts failed to meet all objectives. In 2018 the US government spent almost US$2bn on procurement contracts. Failed procurement projects represent a lot of public tax-payer dollars which are wasted each year. The US government does not necessarily intend for its government procurement contracts to fail, but when they are awarded on a fixed firm price basis, the entire project management is transferred to civilian contractors for a specific cost. When something goes wrong, contractors are forced to adjust the other parameters such as time, scope and/or quality. It appears many government supply chain procurement contracts are failing despite substantial analysis of project data by academic scholars and practitioners. In the literature, most researchers could not statistically identify the underlying causes of government procurement contract failures. In fact, the sample sizes surpassed 10,000 and in one case almost 60,000 cases were examined without generating a conclusive statistical result. It was clear a new study like ours was warranted. Thus, in this study, we collected a large sample of procurement project data from US government contractors. We tested several hypotheses in an attempt to identify which conditions affected government procurement contract breaches. We applied robust parametric statistical techniques, namely logistic regression, to test the hypotheses. We developed a statistically significant model which adequately explained US government supply chain procurement contract performance. This paper is in a scholarly format using statistical techniques which are primarily aimed at an academic audience rather than practitioners. We followed the well-known American Psychology Association conventions for writing style which resulted in this paper having a strong academic tone. Nonetheless, the results ought to be of interest to scholars and practitioners alike. Scholars will be able to replicate our research design with new sample sizes of at least 1,000 in other states or countries and cite our findings. Practitioners and government procurement programme managers should find it relevant that our statistical model correctly classified 67 per cent of US government procurement contract performance, with an 11 per cent effect size using only two predictors (project manager certification and ISO quality registered). We found that if a project manager was professionally certified, this increased the likelihood of contract success by 2.3 times. Decision makers could use this model for procurement policy revision or to inform selection criteria in government contract awards.
The AI-powered PM Toolkit - A Project Manager’s Guide to Thrive the Generative AI Wave
Authors: Mahesh Deshpande
Year: 2023

Project management stands at the precipice of a significant transformation driven by Generative AI (GenAI). This paper delves into the profound impact of GenAI on project managers, exploring how it reshapes roles, responsibilities, and the future of the field. We begin by outlining the evolution of AI, highlighting the emergence of GenAI and its ability to go beyond analysis and create novel content. GenAI will transform project management responsibilities from fully automated activities to a blend of assisted and augmented tasks, requiring collaboration and strategic application of this innovative technology. The paper explores the evolution of project management methodologies and the evolving skillset required of successful project managers in the age of AI and offers a "Project Manager's Guide to Thriving in the Generative AI Tsunami" by outlining the three pillars of the PMI Talent Triangle: Ways of Working, Power Skills, and Business Acumen. Each pillar is examined in detail, highlighting the role of GenAI in enhancing mastery and providing illustrative examples of AI-powered tools and frameworks. This paper equips project managers with the knowledge and tools to not only survive but thrive in the age of GenAI, ensuring their continued value and leadership in shaping successful projects.