derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Work in progress — Using social media to teach engineering process
Authors: Bruce Maxim; M. Turton; Wassim M. Nahle
Year: 2011

Due to the outsourcing of many low level computing jobs, many students have a perception that there are very few computer science related jobs in the United States. Consequently, the number of students majoring in computer science has been decreasing. This project attempts to use social media as a means of attracting more students to study computer science and software engineering by exposing 16 to 20 year old students opportunities to the soft skills associated project management without being concerned about programming implementation details. It is an expectation that using a game setting to expose potential students to the rich set of activities that make up software engineering process may attract them to the consider the field as a course of study. An explicit goal of this project is to try to attract female students to the study of STEM coursework although the game is being designed to appeal to male students as well. It is also hoped to determine which types of engineering process activities are most attractive to female students. A prototype of proposed game will be completed during the summer of 2011.
Escalation: The Role of Problem Recognition and Cognitive Bias
Authors: M. Keil; Gordon Depledge; Arun Rai
Year: 2007

Escalation of commitment to a failing course of action is an enduring problem that remains central to the study of managerial behavior. Prior research suggests that escalation behavior results when decision makers choose to ignore negative feedback concerning the viability of a previously chosen course of action. Previous work has also suggested that certain cognitive biases might promote escalation behavior, but there has been little attempt to explore how biases other than framing affect escalation. In this article, we explore the extent to which decision makers actually perceive negative feedback as indicative of a problem and how this influences their decision to escalate. Although problem recognition and cognitive biases have been intensively studied individually, little is known about their effect on escalation behavior. In this research, we construct and test an escalation decision model that incorporates both problem recognition and two cognitive biases: selective perception and illusion of control. Our results revealed a significant inverse relationship between problem recognition and escalation. Furthermore, selective perception and illusion of control were found to significantly affect both problem recognition and escalation. The implications of these findings for research and practice are discussed. To improve problem recognition and reduce the incidence of escalation, practicing managers should implement modern project management practices that can help to identify and highlight potential problems while guarding against these two key cognitive biases that promote the behavior.
A Tale of Two Projects: why IT projects fail (and why they sometimes actually succeed)
Authors: D. Wilton
Year: 2005

This Case describes two similar outsourced IS projects that took place in Wellington, New Zealand (NZ) during the period 1992-99, with emphasis on the reasons why one project failed (the prime contractor repudiated the contract and the project was abandoned) and why the other succeeded. The same prime contractor was used for both projects and there were a number of other similarities, yet the outcomes were totally different. The Case provides lessons in some of the fundamental aspects of IS/IT project management, including scope, time, risk, human resources, procurement and quality management.
qPortal: A platform for data-driven biomedical research
Authors: C. Mohr; Andreas Friedrich; David Wojnar; E. Kenar; A. C. Polatkan; M. Codrea; S. Czemmel; O. Kohlbacher; S. Nahnsen
Year: 2018

Modern biomedical research aims at drawing biological conclusions from large, highly complex biological datasets. It has become common practice to make extensive use of high-throughput technologies that produce big amounts of heterogeneous data. In addition to the ever-improving accuracy, methods are getting faster and cheaper, resulting in a steadily increasing need for scalable data management and easily accessible means of analysis. We present qPortal, a platform providing users with an intuitive way to manage and analyze quantitative biological data. The backend leverages a variety of concepts and technologies, such as relational databases, data stores, data models and means of data transfer, as well as front-end solutions to give users access to data management and easy-to-use analysis options. Users are empowered to conduct their experiments from the experimental design to the visualization of their results through the platform. Here, we illustrate the feature-rich portal by simulating a biomedical study based on publically available data. We demonstrate the software’s strength in supporting the entire project life cycle. The software supports the project design and registration, empowers users to do all-digital project management and finally provides means to perform analysis. We compare our approach to Galaxy, one of the most widely used scientific workflow and analysis platforms in computational biology. Application of both systems to a small case study shows the differences between a data-driven approach (qPortal) and a workflow-driven approach (Galaxy). qPortal, a one-stop-shop solution for biomedical projects offers up-to-date analysis pipelines, quality control workflows, and visualization tools. Through intensive user interactions, appropriate data models have been developed. These models build the foundation of our biological data management system and provide possibilities to annotate data, query metadata for statistics and future re-analysis on high-performance computing systems via coupling of workflow management systems. Integration of project and data management as well as workflow resources in one place present clear advantages over existing solutions.
Evaluation of field labor and management productivity in the USA construction industry
Authors: Qais K. Jahanger; D. Trejo; Joseph Louis
Year: 2023

PurposeThe health of an economy is heavily dependent on the productivity of the economy's major industries including construction. While most macro-measures of productivity in the USA construction industry indicate a decline, corresponding studies at the individual task level indicate an increase in productivity. Therefore, this paper aims to identify areas where productivity challenges exist and thus provide recommendations for improvement in the construction industry.Design/methodology/approachA model that relates the way construction projects are executed with the sources of data that inform productivity analyses is developed and presented. This effort/value-flow model informs the data analysis that is performed to determine productivity trends for management and field labor. Further analysis for field labor productivity using field data and management productivity was separately conducted. Management productivity was particularly difficult to gauge, resulting in the use of surrogate measures.FindingsIt was observed that while both field labor and management productivities at the industry level have been decreasing, the decrease in management productivity was five times that of field labor productivity. A similar trend was observed for management productivity at the project level.Originality/valueThe primary contribution of this paper to the body of knowledge and industry is the introduction of a holistic analysis of USA construction productivity. Recommendations to improve management productivity include the use of technology, especially project management software.
UMIT Project Management System
Authors: Dr. Anita Morey; Tanvi Chile; Sejal Jadhav; Seher Shah
Year: 2024

Usha Mittal Institute of Technology evaluates students' projects through multiple stages over various semesters. To manage all the project functionality and evaluation of these projects per student using an automated system, we proposed the UMIT Project Management System. Currently, UMIT handles all the project work manually. The UMIT has many phases of the projects. In the Third year semester-VI, there is Project I, which has two phases Project I-A and Project I-B. In the Final year semester-VII students have Project II with phases as Project II-A and Project II-B. Similarly, in Final Year semester-VIII there is Project III with phases Project III-A, Project III-B, Project III-C, and Project III-D. All these phases have their rubric format for the evaluation. Managing all these phases with specific rubric formats and calculation of marks is very complicated on a manual basis. To perform all the project-related activities like submission of synopsis, evaluation schedule, group forming, guide allocation, Rubric mark sheet, etc. UMIT Project Management System is developed. By alleviating manual burdens associated with project evaluations, the UMIT PMS enhances accuracy and transparency, fostering an organized academic environment focused on quality and innovation. Its user-friendly design ensures accessibility for all users, promoting efficiency and innovation in project management.
The Importance of Information Technology Project Management Management Towards the Success of a Company
Authors: Dymas Kharafi Sugara; Galuh Tresna Murti; Shendy Tiodor Lina Sitanggang; Yolla Eka Saputri
Year: 2023

The presentation of the results in the worksheet of this paper explains the extent to which information technology project management is important to the company. The method used in its preparation is descriptive qualitative method. This method is carried out by examining and determining validity and analyzing from various perspectives. The preparation of this paper worksheet uses a variety of different data sources. The results found indicate that the importance of managing an information technology project will affect the success or failure of a company. information
MODERN MANAGEMENT TOOLS IN MANAGEMENT
Authors: Кateryna Belous; Viktoriia Slobodianiuk
Year: 2023

In times of crisis, you can feel all the mistakes that occur during management especially clearly, and that is why you need to prevent them in time. That's why managers need to carefully choose what's right for their company among the many apps and services to optimize project management. After all, the revolutionary emergence of artificial intelligence and data analytics, digital transformation, smoothing of information barriers, expansion of project management methodologies, and the increase in additional platforms for remote control have enabled the development of products in the management services market.The article analyses the available tools, applications and systems that can simplify the life of a modern manager and significantly affect the successful development of a company. The article also considers how the introduction of these tools will affect the successful development of both the specialists themselves and the companies they work for.Among the services reviewed were Notion, Jira, Asana, ClickUp, Trello, IT-Enterprise, Vchasno, medoc and the analysis of the place of chatbots in the market and their possible development in the future. It was noted that the use of these services by managers would make their work more systematic and easier to understand.The importance of using business analytics to simplify and accelerate the decision-making process based on the experience of foreign companies is also highlighted. According to researches businesses that use analytics show an average 6% increase in profits compared to those that do not. Moreover, this profit can grow by as much as 9% over five years, while reducing costs by 10%. This, in turn, is a huge advantage for companies that start focusing on business intelligence.The information studied in this article can be used by managers to implement new systems in their work, which should improve their productivity and simplify the interaction of companies with internal departments and external customers.Keywords: management, task-managers, optimization, analytics, artificial intelligence, process, productivity
Learning Software Project Management by Simulation – Experience and Recommendations from 20 Years of Teaching
Authors: A. Bollin
Year: 2023

Learning software project management skills can be supported in various of ways. In particular, using business games or simulators represents added value in the classroom but also has some drawbacks and should be supported by an adequate didactic concept. This paper summarizes extensive data collected over nearly two decades from the AMEISE simulation environment used in European universities. It focuses on the output of simulation runs and aims to achieve three objectives: first, reporting on the setting, secondly, sharing lessons learned; and, finally, providing 34 recommendations for educational and training contexts. The paper starts by describing the simulation environment and its use in the lectures over the past 20 years; then, it presents an analysis of qualitative data collected, showing that, according to students, the simulation is one of the best parts of a course. Following the structure of a typical didactic handout, challenges in preparation and implementation, as well as external factors influencing the quality of teaching, are then highlighted, and approaches to solutions or improvements are systematically derived. Most of the recommendations in this paper also apply to courses without simulators, which can improve software engineering education in the long term.
Genetic Algorithms for Optimization of Resource Allocation in Large Scale Construction Project Management
Authors: Jian-wen Huang; Xing-xia Wang; R. Chen
Year: 2010

It is well known that a construction project is the process of resource consumption. Especially for large project, more kinds of resources are involved and the amount is very huge. In construction process of a project, the resource is limited and the time is very urgent, so for large scale project management there are some important subjects such as how to effectively distribute resources between each activities and how to effectively utilize limited resources. Therefore, it's of great importance to optimize the allocation of construction resource. This paper analyzes existing problems of resource allocation for large scale project, such as shortest construction duration with limited resource and resource leveling with stationary construction duration. Based on that, the corresponding mathematical optimization model is established and solution method on the basis of genetic algorithm is given. Comparing with traditional methods, better results are given when genetic algorithm is used, which can not only compress project duration in maximum, but also reasonably arrange activity starting time in uncritical path, and adjust the order of resource in different activities, to lower the peak of dynamic resource distribution curve as much as possible and to make resource consumption be in equilibrium state. Application in an engineering case shows that genetic algorithm can solve relative problems of resource allocation optimization in network planning for large-scale project very well and will be widely used in project optimization.
PROJECT MANAGEMENT MATURITY MODELS. A REVIEW OF
CURRENT CRITICISM AND OPPORTUNIEIS
Authors: Radu-Adrian Marincean
Year: 2024

Project management maturity models (PMMMs) have evolved significantly over
the years, eliciting both enthusiasm and critique from professionals in the field. The former
reflects the promising prospects for enhancing organizational value through the adoption of
refined practices, while the latter underscores concern regarding the associated costs,
applicability challenges, and the resilience of these models. This paper embarks on a
comprehensive exploration, surveying the landscape of established models while
pinpointing the principal obstacles linked with their implementation. Acknowledging both the
significance and the shortfall of current models, there is a growing consensus within the
literature regarding the imperative for further advancements in project management
practices. Criticisms directed towards existing models often revolve around economic
feasibility hurdles, inflexibility, scalability issues, and overly prescriptive frameworks. This
paper undertakes a critical examination, contemplating the integration of digital capabilities
as a means to mitigate these drawbacks and refine project management maturity models.
Central to our paper is the notion of leveraging digital affordances to enhance the efficacy of
PMMMs. By amalgamating technological innovations with established methodologies, we
endeavor to address prevalent criticisms and propel the evolution of project management
frameworks. Our approach is multifaceted, encompassing a thorough exploration of the
technological substrates underpinning PMMMs. In delineating the technological landscape,
we identify three primary layers of technology integration in PMMM development: Microsoft
Excel, Online Questionnaires, and Advanced Platformization Initiatives. Each layer presents
distinct opportunities and challenges, underscoring the complexity inherent in modernizing
PMMMs. Proposing a forward-looking strategy, we advocate for the development of PMMMs
that capitalize on the latest digital affordances. By prioritizing user-friendly interfaces and
streamlining the completion process, we aim to foster greater engagement and uptake
among stakeholders. This approach promises to transcend the limitations of traditional
models, catalyzing a paradigm shift towards more dynamic and responsive project
management practices.
Functional Size of Use Case Diagrams: A Fine-Grain Measurement
Authors: Asma Sellami; H. Ben-Abdallah
Year: 2009

Software functional size (FS) prediction early in its lifecycle is vital for software project management. Such prediction requires the definition of software measures in terms of the specification and/or design language concepts. Within this context, several researchers have projected COSMIC functional size measures (FSM) onto various UML diagrams. However, these projections treated the diagrams separately despite their syntactic and semantic overlap within a model. In this paper, we present a fine-grain measurement for the UML use case diagram. Being a central diagram for models derived through the Unified Process, the use case diagram is implicitly related to all other diagrams. Thus, the detailed measurement of this diagram provides a reference measurement standard for other UML diagrams, e.g., the sequence and class diagrams.
Implementasi Sistem Manajemen Proyek PT. Agro Palindo Sakti Berbasis Website
Authors: Lysander Favian Limas; Mardiani Mardiani
Year: 2023

Agro Palindo Sakti merupakan perusahaan kontraktor di bidang perkebunan. PT. Agro Palindo Sakti memiliki sistem yang masih menggunakan Ms.Word dan Ms.Excel. Pencatatan laporan suatu proyek kadang tidak akurat dan detail. Tujuan dari penulisan penelitian adalah untuk membangun sistem informasi manajemen proyek yang dapat dimanfaatkan oleh perusahaan untuk dapat membangun, mencatat, mengelola, serta menjadwalkan proyek. Metode penulisan yang digunakan pada penulisan ini menggunakan metode iteratif (iterative) yang mempunyai 5 fase yaitu Requirement (Persyaratan), Design and Development (Desain dan Pengembangan), Testing (Pengujian), Implementation (Implementasi), dan Deployment (Penyebaran). Pada tahap analisis yang digunakan oleh penulis yaitu analisis PIECES dan Usecase Diagram. Pada tahap perancangan, metode yang digunakan penulis yaitu Entity Relationship Diagram, dan Data Flow Diagram. Pembangunan sistem informasi manajemen proyek menggunakan bahasa pemrograman Visual Studio Code, PHP dan MySQL sebagai basis datanya. Sistem Informasi Manajemen proyek ini diharapkan dapat membantu dan mengatasi permasalahan yang terjadi pada PT. Agro Palindo Sakti agar kinerja di perusahaan menjadi lebih baik
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators
Authors: Christian Haertel; Christian Daase; D. Staegemann; Abdulrahman Nahhas; M. Pohl; K. Turowski
Year: 2023

: The significant increase in the amount of generated data provides potential for organizations to improve performance. Accordingly, Data Science (DS), which encompasses the methods to extract knowledge from data, has increased in popularity. Nevertheless, enterprises often fail to reap the benefits from data as they suffer from high failure rates in the conducted DS projects. Literature suggests that the main reason for the lack of success is shortcomings in the current pool of DS project management methodologies. Hence, new procedures for DS are required. Consequently, in this paper, the outline for a model for DS project standardization and automation is discussed. Following a summary of DS project challenges and success factors, the concept, which will incorporate MLOps and cloud technologies, and its individual components to address these issues are described on a high level. Therefore, the foundation for further research endeavors in this area is presented.
Research on Development and Integration of Artificial Intelligence Aided Diagnosis System
Authors: Erhua Sun; Xiaocheng Cai; Jiali Lei
Year: 2022

In view of the current lack of agile development project management and steep learning curve of tensorflow serving deployment in the medical field of artificial intelligence, based on the named entity recognition and entity annotation of Chinese electronic medical records, this paper uses the iterated dilated convolutional neural networks(ID-CNNs) and conditional random field modeling of deep learning, develops restful API by combining the model training results with Python flask, and uses spring boot / spring cloud Alibaba, Using container technology docker and enterprise kubernetes management platform rancher, using agile development project management and the idea of front-end and back-end separation, promote the establishment of deep learning model, the parallel development of training process and system software, and the agile development, integration, debugging and deployment of artificial intelligence aided diagnosis system.
Effective Management of Multi-Cultural Construction Project Teams Issues and Strategies for Improving Team Performance
Authors: Sahan Nishok Purasinghe
Year: 2024

The seminar paper provides a pragmatic perspective of the topic of effective management of multi- cultural construction project teams. The paper provides a detailed collated review of issues pertaining to multi- cultural construction project teams and the strategies that can be adopted to overcome those issues thereby improving the performance of the team in its entirety based on the findings of previous research. The paper has been structured in a manner that includes a brief introduction into the topic, definition of the term “Culture”, definition of a “multi-cultural” project team, importance of multi-cultural construction project teams, issues of multi-cultural construction project teams and finally, strategies to overcome the issues from previous research as well as novel concepts and tools that have proven to work in the global project management arena. The author anticipates that the content provided in this seminar paper shall be beneficial for effective decision making by organizational leadership to establish high performing construction project teams that acknowledge and respect cultural diversity whilst utilizing the benefits of cultural heterogeneity and mitigating the detrimental impacts of the same.