derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Project Management Tasks in Agile Projects: A Quantitative Study
Authors: G. Miller
Year: 2019

Recent studies have confirmed the efficacy of agile methodologies in project success. However, can projects skip several project management tasks and still deliver the expected results? How are traditional project managers engaged in agile projects? The results from this study quantify subjective and theoretical speculation on who performs the project management tasks in agile projects. Project managers are engaged in agile projects and the team, the product owner, and project sponsor are significantly involved in project management tasks. The agile coach is not a substitute for the project manager. The study identifies that agile and traditional methodologies should be updated to clarify team, product owner, and agile coach responsibilities.
A Data-Driven Framework for Probabilistic Estimates in Oil and Gas Project Cost Management: A Benchmark Experiment on Natural Gas Pipeline Projects
Authors: N. Mittas; Athanasios C. Mitropoulos
Year: 2022

Nowadays, the Oil and Gas (O&G) industry faces significant challenges due to the relentless pressure for rationalization of project expenditure and cost reduction, the demand for greener and renewable energy solutions and the recent outbreak of the pandemic and geopolitical crises. Despite these barriers, the O&G industry still remains a key sector in the growth of world economy, requiring huge capital investments on critical megaprojects. On the other hand, the O&G projects, traditionally, experience cost overruns and delays with damaging consequences to both industry stakeholders and policy-makers. Regarding this, there is an urgent necessity for the adoption of innovative project management methods and tools facilitating the timely delivery of projects with high quality standards complying with budgetary restrictions. Certainly, the success of a project is intrinsically associated with the ability of the decision-makers to estimate, in a compelling way, the monetary resources required throughout the project’s life cycle, an activity that involves various sources of uncertainty. In this study, we focus on the critical management task of evaluating project cost performance through the development of a framework aiming at handling the inherent uncertainty of the estimation process based on well-established data-driven concepts, tools and performance metrics. The proposed framework is demonstrated through a benchmark experiment on a publicly available dataset containing information related to the construction cost of natural gas pipeline projects. The findings derived from the benchmark study showed that the applied algorithm and the adoption of a different feature scaling mechanism presented an interaction effect on the distribution of loss functions, when used as point and interval estimators of the actual cost. Regarding the evaluation of point estimators, Support Vector Regression with different feature scaling mechanisms achieved superior performances in terms of both accuracy and bias, whereas both K-Nearest Neighbors and Classification and Regression Trees variants indicated noteworthy prediction capabilities for producing narrow interval estimates that contain the actual cost value. Finally, the evaluation of the agreement between the performance rankings for the set of candidate models, when used as point and interval estimators revealed a moderate agreement (a=0.425).
Product Innovation Using Agile Practices in Supply Chain Management Curriculum
Authors: Carol Trivedi; Christine M. Witt; Fariba Aminalroayae
Year: 2024

The dynamic business landscape demands supply chain professionals with Agile project management skills. This study introduces a novel course project simulating a new product launch for a Fortune 500 company. We designed a theoretical multi-phase student team-based Agile project as part of an undergraduate Supply Chain Management course. This article describes implementing a project where teams are guided through the "Agile Way" using scaffolding of the Scrum framework. The project is designed using team-based learning of Agile methodologies. Agile methodologies often emphasize collaboration and open communication, which can foster psychological safety in teams. Using Agile frameworks and the designed templates, student teams work through theoretical Agile product innovation phases for a Fortune 500 company throughout the semester. Students simulate a product launch and apply Agile practices. A validated Agile survey assessed student learning outcomes across two semesters. Statistical analysis revealed a significant positive impact of using Agile templates on student understanding of Agile practices, team collaboration, and continuous improvement. This project offers a practical and adaptable framework and provides insights into using Agile management in the classroom. This study contributes to understanding student learning processes and outcomes using Agile project management and outlines teaching methods for a Supply Chain Management class that successfully implements Agile management projects.
Managing the Implementation of IT Projects in SMEs: An Exploratory Investigation
Authors: T. Suraweera; V. Pulakanam; O. Guler
Year: 2007

The implementation of IT projects such as acquiring and implementing accounting software systems has become widespread among small and medium sized enterprises (SME). Invariably the SMEs face numerous difficulties, especially at the initial stages of IT project implementation. Using case study approach, this paper explores the nature of and the processes related to managerial aspects of accounting software systems implementation projects in SMEs. The results provide valuable insights to the project management processes with respect to the implementation of software applications in the SMEs.
Software Project Risk Drivers as Project Manager Stressors and Coping Resources
Authors: S. Rivard; Yannik St-James; A. Cameron
Year: 2011

Although the stressful nature of high risk exposure software projects and the adverse repercussions of stress on project participants and performance have long been recognized, there is still little research on the subject. This paper builds upon two foundations - the cognitive-transactional theory of stress and the concept of software project risk exposure - to propose a model of software project risk drivers as software project manager stressors and coping resources. The model posits that some software project risk drivers - core project characteristics and project objectives - play the role of stressors and that other risk drivers - project environment characteristics - play the role of coping resources. The model further suggests that software project managers are faced with both chronic stress and acute stress, which have different antecedents. This paper broadens current understanding of the role of software project risk drivers; it also contributes to knowledge on software project management by focusing on the emotional components this activity.
Adapting P2M Framework for Innovation Program Management Through a Lean-Agile Approach
Authors: Fatima-Zahra Eddoug; R. Benabbou; J. Benhra
Year: 2023

The commonly adopted project management approach is the stage-gate model, which is not always the convenient approach to innovation projects. The paper objective is to present a qualitative analysis of existing project management approaches and to propose a new hybrid model for effective management of innovation programs based on traditional project management approaches, agile methods to involve the customer, and then lean approach to eliminate waste. The results were illustrated by a new model based on the Japanese P2M (program and project management for enterprise innovation) guide, then combine it with Agile Industrial Scrum method and the agile 3S (scheme, system, and service) model of P2M, and finally with some lean tools and techniques oriented towards the innovation and project management context. Finally, an application case was illustrated where the researchers present the planning of the application of the proposed model on an innovation program in medical waste management field.
Estimating software development effort using Bayesian networks
Authors: Hrvoje Karna; Sven Gotovac
Year: 2015

Software development effort estimation is fundamental part of software project management. It is the process used to predict the most probable effort required to perform specific work. Based on forecasted effort it is possible to determine costs and allocate required resources. The effort estimation inherently includes various factors and therefore the process of decision making and producing the predictions regarding required efforts is in its nature a process of reasoning with uncertainty. To enhance this process software engineers are using various approaches, application of data mining and knowledge discovery techniques proved to be especially effective. This paper reports a study in which Bayesian networks (BN) are used to improve software development effort estimation. Study examines tree major entities involved in estimation process - projects, work items and estimators. The analysis is based on real data collected from software projects executed in Croatian software company. Study found that Bayesian networks are especially suitable for modeling of effort estimation and can significantly contribute to management of software projects.
Leveraging Artificial Intelligence for Enhanced Performance in Matrix Organizations: A Research Perspective
Authors: Hitesh Chaudhari; Sandeep Mishra
Year: 2024

In today's complex business landscape, matrix organizations represent a prevalent structural framework characterized by overlapping reporting structures and cross-functional project teams. This organizational model, while offering flexibility and specialization, also presents unique challenges in resource allocation, decision-making, collaboration, and project management. This research paper investigates the potential of artificial intelligence (AI) to address these challenges and enhance the performance of matrix organizations. Drawing upon an extensive review of existing literature and relevant case studies, the paper provides a comprehensive analysis of AI's role in optimizing various aspects of matrix organization operations. Specifically, it examines how AI technologies can streamline resource allocation processes by analyzing project requirements, team capabilities, and individual skill sets to ensure optimal staffing levels and skill matching across projects. Additionally, the paper explores AI's capabilities in providing decision support to managers and team leaders by leveraging data analytics to offer insights into project progress, risk assessment, and performance evaluation.
10‐year Anniversary of the New Product Development, R&D, and Project Management Department in Production and Operations Management—Progress, Thoughts, and Perspectives
Authors: Stylianos Kavadias
Year: 2014

The issue you are about to browse offers an opportunity to share many thanks, some observations, and a few forward‐looking thoughts about the department I have had the honor to edit over the last 4 years. It also offers an opportunity to expand the discussion beyond the boundaries of the particular department of Production and Operations Management (POM), and to take stock of the evolution path of the academic community that has formed around the department and its research topics over the past 10 years.
Rockwell Software: arena introduction
Authors: V. Bapat
Year: 2005

Specifically designed for newcomers to simulation, this session introduces basic modeling concepts, features, animation and scenario management, and comprehensive simulation project management. Demonstrations include basic applications in the manufacturing, supply chain, logistics, defense, healthcare, call center and business process scenarios.
The Project Management Perspective for a Digital City
Authors: Leonidas G. Anthopoulos; P. Ipsilantis; Vasiliki Kazantzi
Year: 2014

Digital cities have been evolved during the last decade and they have installed various information systems and information and communication technology (ICT) based infrastructures across various cities in the world. Most digital cities are ongoing investments, while their outcomes are differentiated from their primary objectives, and many of them are declined although their deliverables have been achieved. The aim of this paper is to approach the digital city as a unique project instead of a program of projects. In this context, a digital city can be considered a complex and large scale project, while the project management perspective will be applied on two representative forms of digital cities in order to conclude on a common management model, to underline the difficulties of such a project, and to provide with useful instructions that can be used by current and by future project managers who approach a similar initiative.
Economic Decision Making and Risk Management in a Project Management Environment: A Reflection of Practice
Authors: B. Galli
Year: 2020

In today's uncertain business environment, companies must evaluate risk for projects before making business decisions. For example, one can use the SMART method. Also, Gantt charts help the project manager to schedule and plan, which helps in decision-making for the project. Technology has created software for discovering the probability of the risk with algorithms and many mathematical methods. However, pre-existing literature does not show how these variables, their concepts, and models help in project management, which has resulted in a research gap. Thus, this study addresses the most current variables, their concepts, and models within operations and project management. With a design-science-investigate strategy, the authors approve a valuable growth reveal for reasonable and hypothetical application. Thus, they create a suitable assessment model to fill the research void, as well as to contribute to the engineering field by improving the project success rates and helping with team communication.
Integrating Project Based Learning and Project Management for Software Engineering Teaching: An Experience Report
Authors: Maria Lydia Fioravanti; Bruno Sena; L. Paschoal; L. Silva; A. Allian; E. Nakagawa; S. Souza; Seiji Isotani; E. Barbosa
Year: 2018

Software Engineering (SE) is an important topic to be taught in Computer Science courses. However, teaching of theoretical concepts with no link to their practical applications or no examples in the student's context may discourage learning, justifying why teaching and learning are great challenges of education in universities. In attempt to bridge such gap, several approaches have been proposed and applied to improve teaching and learning SE such as project based learning (PBL), a well-known approach already applied to teach SE. Nevertheless, there's a lack of understanding about how to better apply PBL and how to take advantage of this approach, for future use. There is also a lack of experience report describing how to use, its challenges and difficulties, what could be hampering to widely adopt it. We present our experience applying a PBL approach combined with project management to create an environment considering aspects such as dealing with managers and real stakeholders. The goal is to bring students closer to the reality of developing a software project in the business context. Our experience indicates positive results on the adoption of a PBL approach. In general, students were enthusiastic and positive about the use of this approach, the presence of a manager and the importance of using real-world problems with real stakeholders.
Evaluación del nivel de madurez en la gestión de proyectos públicos en la Alcaldía de Acevedo, Huila
Authors: María Valentina Andrade Gómez; Vilma Lucía Agredo Trujillo; Alexander Quintero Bonilla
Year: 2024

This study aims to evaluate the level of project management maturity in public projects at the Mayor’s Office of Acevedo (Huila), using the Darci Prado Maturity Model, which assesses five levels and seven key dimensions. The methodology followed a mixed approach: the quantitative analysis was carried out using the 2021 version of the model’s questionnaire, while the qualitative analysis was complemented by the prospective tool, the Regnier Abacus.The results show that the entity is at level 2 of maturity, known as the “known” level. This level indicates that the organization has a basic understanding of project management, but practices are not fully standardized, and efforts remain isolated. The main weaknesses were found in the dimensions of computerization, organizational structure, methodology, and behavioral competencies. In conclusion, project management at the Mayor’s Office of Acevedo is classified as average, indicating a need for significant improvements to reach a higher maturity level.
An optimized method for Adaptive Cloud computing event judgment: Adaptive STAR
Authors: Li Li
Year: 2015

There exist a large number of complex models and methods for judging the size, cost and plan of information system events. However, the ability to accurately forecast the cost of cloud computing information system for Adaptive events is still uncertain. The most suitable cloud computing information system cost judgment in an Adaptive development environment is a big problem because of various user demand and different capabilities. Also, the need to develop an individual model to estimate cloud computing event is rising. In this research paper, we present Adaptive STAR, a method to model information system cost judgment process which will evaluate effort and cost of information system development for cloud computing events, thereby satisfying multi-standard by making use of Project Management model, a famous classic Algorithmic technique. Most importantly, the paper distinguishes the difference between classic and cloud computing events. The proposed judgment model strengthens the level of features in the planning stages.
Improving Communication and Project Management through an Adaptive Collaborative Learning System
Authors: J. Kurcz; Tingwen Chang; S. Graf
Year: 2015

Collaborative learning is an essential aspect of the learning process but students are often faced with various issues such as unfair workloads assigned between members, not finishing assigned tasks on time, overly passive members who do not pull their own weight and overly active members who do not allow others to contribute. In this paper, we propose an adaptive collaborative learning system that focuses on improving two major aspects in collaborative learning, communication and project management, by providing advanced features as well as adaptive recommendations. By improving the communication and project management in group projects, students can learn more effectively in such collaborative settings which again improves their learning experiences overall.
HYBRID MANAGEMENT OF CHANGE PROJECTS THROUGH THE PRISM OF THE THEORY OF TEMPORARY ORGANIZATION
Authors: V. V. Cherkasov; N. V. Cherkasov
Year: 2025

Hybrid Change Project Management (HPM) is an advanced approach that integrates elements of traditional and agile methodologies to improve the effectiveness of project management. Despite significant conceptual development, the criteria and methods for the application of HPM remain poorly defined. The purpose of this study is to complement the introduction of HPM into domestic organizational structures through the use of Theory of Temporary Organization (TTO). Viewing the HPM through the TTO prism opens up a new paradigm of change project management, which is particularly relevant for projects that require a balance between adaptability and control, and are able to adapt to a variety of organizational contexts.
A Project Management Model to a Distributed Software Engineering Environment
Authors: Lúcia Norie Matsueda Enami; T. F. C. Tait; E. Huzita
Year: 2006

This article presents a project management model (PMM) to a distributed environment that will be integrated to the DiSEN (Distributed Software Engineering Environment). The model purpose is to supply to the interested ones in the software project management the pertinent information and treat the aspects of the team member’s physical distribution. It was based in PMBOK (Project Management Body of Knowledge) and CMMI (Capability Maturity Model Integration) and the issues treated by the PMM include cultural differences between the members, distribution of knowledge, a tool to facilitate the communication between members, standardization of documents and motivating people geographically dispersed.
Engineering information management tools by example
Authors: Michael Nebeling; Matthias Geel; M. Norrie
Year: 2014

While there are many established methodologies for information systems development, designing by example has not been formally explored and applied previously. Our work is also motivated by the desire to explore interface-driven development techniques that could complement existing approaches such as model-driven engineering with the goal of reducing the need for modelling and reengineering of existing applications and interfaces, while still supporting the development task. We explore the example-based technique for rapid development of powerful and flexible information management tools based on the example of Adobe Photoshop Lightroom, a system that was originally designed to support the workflow of digital photographers in a flexible way. We analyse experiments in which two new systems---one for managing collections of research papers and another for software project management---were developed based on the Lightroom paradigm. We derive a conceptual framework for engineering by example and assess the method by comparing it to traditional model-driven engineering.
Intellectual capital managers training practice
Authors: Т.В. Кочергина
Year: 2023

Цель проведенного исследования заключается в выявлении основных необходимых направлений подготовки студентов в области управления интеллектуальным капиталом организации и апробации данного подхода на примере подготовки обучающихся по программам бакалавриата и магистратуры по направлению подготовки «Менеджмент» в Уральском государственном экономическом университете (профили «Менеджмент организации» и «Стратегическое и проектное управление» соответственно). Современные концепции управления интеллектуальным капиталом базируются на выделении его структурных составляющих (человеческий, организационный, потребительский капиталы) и определении базовых функций управления данным видом капитала. Такими функциями являются: разработка стратегии и политики в области управления интеллектуальным капиталом; координация мероприятий в рамках программ прогнозирования и развития интеллектуального капитала; обеспечение правовой охраны и анализ эффективности использования интеллектуального капитала. Цель исследования достигнута, а именно выявлены и апробированы на базе экономического университета в рамках освоения курса «Управление интеллектуальным капиталом» необходимые направления подготовки обучающихся по управлению интеллектуальным капиталом.
 The purpose of this research is to determine the main directions of intellectual capital managers training and to test the chosen approach with students - both, bachelors and magistrates - of the Ural State University of Economics, “Management” academic area, “Organization Management” and “Strategic Project Management” specializations. Modern intellectual capital management concepts are based on defining it’s structural components (human resources, organizational capital, customer equity) and main management functions for every component. These functions are: intellectual capital management strategy and policy development, intellectual capital prediction and development programs coordination, legal protection and efficiency evaluation of the intellectual capital. The purpose of this research - to summarize essential intellectual capital management knowledge and skills and apply those findings in practical students training - is accomplished during the “Intellectual Capital Management” course.