derhan/semantic-scholar-manajemen-proyek huggingface dataset:
The Analysis of the Well-suited Personality of MBTI for Working Conditions
Authors: Runzhi Lyu
Year: 2024

People often make judgements about other's ability based on a single letter in the MBTI type, but few have explored the differences between workers with various MBTI personalities and how these differences manifest in their work. The Myers-Briggs Type Indicator (MBTI) is a widely used personality assessment tool globally, helping guide talent allocation and optimize team dynamics. Developed by Isabel Briggs Myers and Katherine Cook Briggs, the MBTI categorizes personalities into four primary types: Analysts (represented by purple), Diplomats (represented by green), Explorers (represented by yellow), and Sentinels (represented by blue). This paper summarizes the personality characteristics and work performance of different color personalities through a literature review, case analysis, and online data investigation. Each type is associated with distinct traits: Analysts are intuitive and thinking, Diplomats are intuitive and feeling, Explorers are observant and prospecting, and Sentinels are observant and judging. These categories help in understanding individual preferences and improving teamwork. The study highlights that certain MBTI types, particularly INTJ, ESTJ, and ENTJ, exhibit strong leadership qualities, making them well-suited for project management roles. Understanding these types can enhance managerial strategies, motivation, and overall team effectiveness. Individuals with purple and blue personality tend to be more organized, making them better suitable for rigorous and serious tasks, while those with yellow and green personalities are more creative and ideal for innovative work.
Green Project Management in the Construction Sector in Greece
Authors: V. Orfanos; M. Evripiotis; C. Bakiris
Year: 2024

Green Project Management is directly related to the practices of technical companies for the construction of technical projects based on a sustainable design with the central objective of minimizing or eliminating negative environmental impacts, saving resources and minimizing the use of non-renewable energy sources. This work is aims at investigating the current situation regarding the application of green administration and management of technical projects and highlighting the importance of this application in terms of limiting environmental pollution by the Technical Companies of the construction sector in Greece. The research was conducted by distributing a questionnaire to a random sample of 60 employees - engineers of Greek technical companies in the construction sector, with experience in the management of Technical Projects. The results of the research showed significant deficiencies in the application of green management practices of technical projects in Greece and in the improper use of raw materials and green products as well as serious deficiencies in the financing of construction companies.
MANAGING THE DIGITAL TRANSFORMATION OF AN ENTERPRISE: ORGANIZATIONAL AND METHODOLOGICAL ASPECTS OF ASSESSING THE MATURITY LEVEL OF THE ECOSYSTEM OF INTERNET OF THINGS TECHNOLOGIES
Authors: Yana S. Mitrofanova; N.Yu. Gulyaev
Year: 2023

In the article, the authors reveal the directions of solving the problem of forming effective methodological support for the digital transformation management system of industrial enterprises. The main focus of the work is on the development of the enterprise’s management system and digital infrastructure based on Industry 4.0 technologies in a high-risk environment and uncertainty. The study presents a methodology for assessing the level of digital maturity of an industrial enterprise and its infrastructure built on the basis of Internet of Things (IoT) technologies. The developed author’s methodology includes a system of criteria for assessing the level of digital maturity, a mathematical model and a system of recommendation characteristics of the values obtained based on the evaluation results. Based on the results of the evaluation system, it is possible to conduct a comparative analysis of the level of digital maturity of the infrastructure and infrastructure of selected business entities. The model can also be used to analyze and make management decisions about the initiation of IoT projects and the allocation of resources between strategic projects of digital transformation of an industrial enterprise. The developed mathematical model is a point-based one. IoT projects that form the digital infrastructure of enterprises have been selected as objects of digital transformation research. The novelty of the research lies in the development of a methodology for assessing the maturity level of the IoT infrastructure in the digital transformation project management system to improve the efficiency of project management processes. The main purpose of this research is to develop tools to support the management decision-making process in the digital transformation project management system. The proposed developments can be applied to the management of projects for the digital transformation of industrial enterprises and the development of IoT infrastructure. When developing a methodology for assessing the level of digital maturity and infrastructure built on the basis of IoT technologies, system analysis methods such as analysis and synthesis, expert method and mathematical modeling were used. Their complex combination made it possible to work out all the elements of the methodology, as well as to systematize the composition of the evaluation criteria, taking into account the qualitative and quantitative reflection of the characteristics of the digital infrastructure.
Aspects of Software Quality Assurance in Open Source Software Projects: Two Case Studies from Apache Project
Authors: D. Wahyudin; Alexander Schatten; D. Winkler; S. Biffl
Year: 2007

Open source software (OSS) solutions provide mission- critical services to industry and government organizations. However, empirical studies on OSS development practices raise concerns on risky practices such as unclear requirement elicitation, ad hoc development process, little attention to quality assurance (QA) and documentation, and poor project management. Event then the ability to produce high quality products in such an environment may seem surprising and thus warrants an investigation on effective QA mechanism in OSS projects. This paper provides a preliminary exploration to improve our understanding of software quality practices in different types of OSS projects. We propose a framework of QA in an OSS project, elicit OSS stakeholder value propositions for QA, and derive performance indicators. For an initial empirical evaluation we applied these indicators to 5 releases of 2 large Apache projects (Tomcat and MyFaces) to analyze the extent to which QA aspects are commonly performed during development process.
Integrated Prediction Model for Software Effort of Diversifying Projects Using Machine Learning
Authors: Amrita Sharma; Neha Chaudhary; Bhavna Hotchandani
Year: 2023

Among the most significant responsibilities for those involved in software project management is software effort estimation. The fact that software development is constantly evolving makes it very hard to forecast effort. In the past, academics have estimated effort and duration for one type of methodology for software development. Various size matrices are used for software project estimation. To estimate the lines of code, use cases, objects, and story point for various development methodologies, algorithmic models are used. This work develops a hybrid software-estimating model for projects that are both object-oriented and traditional. There is the primary input is the size of the software, expressed as the lines of code and use case points. The combined Software Effort Prediction Model is created using linear regression analysis. This model is developed using the size of the project and the selected parameters identified with the correlation coefficient. The proposed work has been analyzed using the average magnitude of relative error. This study is further evaluated using existing methods for estimating software costs, and it is discovered that these methods—case-based reasoning, linear regression, radial basis function neural networks, ensemble modeling, and fuzzy analytic hierarchy process — the combined models have the least amount of inaccuracy. Linear regression is used to forecast the effort for procedural and object-oriented projects, and the findings are compared to those from other models to ensure the work is valid. The work obtains the highest accuracy for accurately estimating software projects.
Bringing Agility to the Classroom: Integrating Professional Scrum Trainings to an Undergraduate IT Project Management Course
Authors: M. Neumann; L. Baumann
Year: 2022

This Innovative Practice Full Paper examines the integration of Professional Scrum Trainings (PST) into an undergraduate class. The PST was integrated into the IT project management course in 2016. The course deals with challenges in IT projects, agile project management, intercultural project teams and IT project controlling. It is held in the Bachelor of Science programs Business Information Systems and Electronic Government, which is provided by the department of business computing at the University of Applied Sciences and Arts -Hochschule Hannover in Germany. We integrate PSTs into the course with the aim to provide the opportunity to our students of a deep dive into the most commonly used agile method Scrum. Also, we collaborated with visiting lecturers from the industry mainly to include practice-relevant problems, challenges, and examples to the students. We prepared, planned, and performed the integration of the PST since 2016 in every term, except the summer term in 2020 due to Covid-19 reasons. This paper presents our approach to integrate PSTs as Scrum seminars into an undergraduate course in higher education. We also analyzed how the students value the integration of PSTs into the IT project management course. Based on our experience and learnings including the quantitative evaluation data, which we conduct regularly, we describe that the students value attending a PST in their studies and benefit from specific experiences related to Scrum in practice. The results include both, classroom and virtual distance teaching during Covid-19. Furthermore, we give three recommendations for other lecturers, which are interested integrating PSTs into their teaching activities. The recommendations refer to the collaboration with professionals from practice, the importance of providing practical relevant knowledge to the students and the possibility of integrating certification providers to the integrated PST. Thus, the paper contributes to an understanding how to integrate agile methods and professional trainings into a higher education context both in the classroom and virtual distance teaching environments.
SCRUM applied to Problem-Based Learning: a hybrid model for managing the teaching-learning process
Authors: Sam Devincenzi; V. Kwecko; A. Bicho; Fernando Pereira de Toledo; S. Botelho
Year: 2022

This complete work on innovative practices, presents the proposal of a hybrid model between Problem-Based Learning (PBL) and the SCRUM agile project management framework, which seeks to facilitate the control and management of the teaching process, during the activities of students’ learning, in the face of difficulties still encountered such as: I. material support; II. students’ responsibility in the task; III. division of tasks; and IV. contribution and performance in tasks. We carried out a case study to validate the proposal, including SCRUM practices (such as the structure of the Daily Scrum), during the performance of PBL activities in an undergraduate class in Software Engineering, during the second semester of 2019. To investigate what was accomplished and discuss its results, we used the technique of Discourse of the Collective Subject (DCS) as a way to capture the impression of the students who participated in the study. Through the study of the resulting DCS, it was possible to identify that SCRUM practices enhanced the PBL process with regard to the control and management of teams in the projects developed in the discipline, which allowed us to conclude the adequacy of the proposed model and its potential to contribute to the student’s teaching-learning process.
Pharmaceutical patent landscape for cancer immunotherapy: an interview with Gilles Berger.
Authors: Gilles Berger
Year: 2019

Dr Gilles Berger is a chemist and pharmacist with broad interest in organic and theoretical chemistry, drug discovery and design, biomedical sciences and oncology. He has worked as a Research Fellow in Brussels, Paris, Montreal and at MIT in Boston, where he has gathered hands-on experience at the interface of drug design, nanotechnologies, biology and human disease. He has been involved in project management and mentoring and has in depth experience in collaborative and multi-disciplinary projects, with a proven track record of publications in various fields, in collaboration with research groups from all around Europe, Canada and the US. In recent years, he has developed as a translational scientist, allowing the use of his complementary multi-disciplinary skills toward the advancement of fundamental projects, such as organocatalysis, theoretical chemistry or halogen bonding; as well as in applications like drug discovery, as evidenced by his numerous publications aimed at developing novel anticancer medicines and other agents. He is currently a Research Fellow of the Harvard Medical School, a Research Associate at MIT and a Fellow of the Belgian Science Foundation.
Robust Capacity Planning for Project Management
Authors: A. Conejo; Nicholas G. Hall; Daniel Zhuoyu Long; Runhao Zhang
Year: 2021

We consider a significant problem that arises in the planning of many projects. Project companies often use outsourced providers that require capacity reservations that must be contracted before task durations are realized. We model these decisions for a company that, given partially characterized distributional information, assumes the worst-case distribution for task durations. Once task durations are realized, the project company makes decisions about fast tracking and outsourced crashing, to minimize the total capacity reservation, fast tracking, crashing, and makespan penalty costs. We model the company’s objective using the target-based measure of minimizing an underperformance riskiness index. We allow for correlation in task performance, and for piecewise linear costs of crashing and makespan penalties. An optimal solution of the discrete, nonlinear model is possible for small to medium size projects. We compare the performance of our model against the best available benchmarks from the robust optimization literature, and show that it provides lower risk and greater robustness to distributional information. Our work thus enables more effective risk minimization in projects, and provides insights about how to make more robust capacity reservation decisions. Summary of Contribution: This work studies a financially significant planning problem that arises in project management. Companies that face uncertainties in project execution may need to reserve capacity with outsourced providers. Given that decision, they further need to plan their operational decisions to protect against a bad outcome. We model and solve this problem via adjustable distributionally robust optimization. While this problem involves two-stage decision making, which is computationally challenging in general, we develop a computationally efficient algorithm to find the exact optimal solution for instances of practical size.
The linkage between leadership style of project manager and project performance: Evidence from telecommunication industry
Authors: M. Misbahuddin; M. Maarif
Year: 2024

This research analyses how different leadership styles affect project managers in the telecommunications sector, focusing on transactional and transformational leadership's direct effects on project performance. Ambidextrous Leadership's role as a mediator is explored alongside the influence of Project Management approaches (Waterfall, Agile, Hybrid) and Project Manager Certifications. Data from 224 Project Managers in 77 Indonesian telecom companies was examined using Structural Equation Modelling Partial Least Square (SEM PLS). The findings indicate that Transactional and Transformational Leadership alone don't directly affect Project Performance, but Ambidextrous Leadership significantly enhances it. Different Project Management Approaches (Waterfall, Hybrid, Agile) amplify the impact of leadership styles. Transactional leadership is strongly linked to the waterfall, while transformational and ambidextrous leadership aligns with the agile and hybrid approach. Project Management Certification strengthens Transactional Leadership's effect on Project Performance, with less impact on Transformational Leadership. The research emphasizes the significance of Ambidextrous Leadership in improving project performance and how project management approaches and certifications can enhance or moderate the influence of leadership styles on telecommunication project management. These findings offer industry practitioners and organizations valuable insights, contributing to leadership, project management, and telecommunications research.
Engineering project control of comprehensive unit price fluctuation-time limit fluctuation-process adjustment
Authors: Xiangtian Nie; Jianchong Shi; Bo Wang; Zhirui Cui
Year: 2021

When an engineering project requires a lot of time and the construction environment is complex, the unit price of materials and personnel will change, the project construction will be hindered, and the construction plan of the project should be adjusted. These uncertain interference factors will cause the earned value analysis results are quite different from or even contrary to the actual situation, so there will not be enough impartial data to help managers to control project. To this end, this paper analyzes how the price fluctuations, process adjustment and the abnormal construction period will affect the construction schedule and cost effect respectively, and further studies the corresponding methods of earned value correction. Based on case analysis, this paper studies the comprehensive correction method of earned value when cost unit price changes, working procedure is adjusted and construction period fluctuates in an abnormal manner. The method improves the theory of earned value and provides reference for engineering practices on project management.
Den Superkunden verstehen! Next7G Project Management - Nachhaltiges Projektmanagement für die nächsten sieben Generationen
Authors: Wolfgang Glitscher
Year: 2023

Zur Steuerung nachhaltiger Entwicklungen, wie sie z. B. für das Schließen von Stoffkreisläufen notwendig sind, benötigt Projektmanagement eine erweiterte, in Unternehmenshandlungen umsetzbare Definition über das Liefern von Projektergebnissen in geschlossene, strukturierte Systeme hinaus. Projektmanager sind Gestalter von Zukünften. Im Sinne der Steuerung nachhaltiger Prozesse sind sie selbst von den Ergebnissen aus der Realisierung ihrer Projekte betroffen. Ein Next7G Project Management basiert auf einem Grundsatz aus der Überlieferung der Irokesen. Diese berücksichtigt die Auswirkungen von Handlungen auf die nächsten sieben Generationen. Damit wird eine Beachtung machbarer und visionärer Weiterentwicklungen von Projektergebnissen in Richtung nachhaltiges Projektmanagement notwendig. Der Autor sieht dies als einen wesentlichen Faktor für die Zukunft des Projektmanagements und darüber hinaus ebenfalls als Herausforderung für die Unternehmensleitungen. Erste Ansätze werden hier zur Diskussion gestellt.
Implementation of Green Project Management in the Construction
Authors: Kelvin Leo; Riri Nur Fadilah; Virdyansyah Nayuandika; Rachmat Kurnia Prayogo; Yudi Prastyo
Year: 2024

Green Project Management (GPM) is an innovative approach that integrates sustainability principles into the entire construction project life cycle. This research aims to conduct a literature review on the implementation of GPM in the construction industry, focusing on the concepts, principles, practices, impacts, and factors influencing the success of its implementation. This literature study reviews various literature sources, including scientific journals, books, and research reports from databases such as Google Scholar, SpringerOpen, SpringerLink, and ScienceDirect. The results showed that GPM has great potential to improve the performance of construction projects from various aspects, including environmental, social, and economic. The implementation of GPM has been proven to reduce environmental impacts, increase resource efficiency, improve the quality of life, and provide long-term economic benefits. This research also identifies several challenges in implementing GPM, such as a lack of awareness and knowledge, limited resources, and a lack of supportive regulations. Therefore, collaborative efforts from various parties are needed to overcome these challenges and encourage the wider implementation of GPM in the construction industry.
A formal and integrated approach to engineering machine learning processes: A method base for project management
Authors: M. Uysal
Year: 2024

Improving project management (PM) capability for machine learning (ML) requires systematic acquisition, structuring, and application of PM knowledge. On the other hand, there are substantial differences between ML-enabled software products (MLESP) and traditional software products (TSP) regarding PM processes. In contemporary tool-centric ML development environments, it is not easy to design and build a method base for PM activities to enable team learning and knowledge management. The studies and industrial applications also indicate that a “one-size-fits-all approach” for PM can be impractical or fall short of the expectations of teams and organizations. The main issue lies in how to elicit, store, and reuse the team’s tacit knowledge related to the methods, processes, tasks, and tools for ML PM. Due to the black box, data-centric, and experimental nature, ML processes can be easily evolved into ad hoc processes. ML teams usually struggle with integrating the ML lifecycle into their software development lifecycle. Therefore, adopting or tailoring a PM method for the specific demands of MLESP emerges as a significant challenge. To address this problem, this study adopted a mixed research approach that harmonized Design Science Research (DSR), PM, Method Engineering (ME) and Process Algebra (PA) activities. An ME framework for PM, a method base, and a novel hybrid PM method formed the main research outputs, which were also expected to meet the requirements of Baskent University Hospital Ankara. The use case-based scenario analysis technique was used for validating the requirements phase of the hybrid PM method. The proposed approach can offer comprehensive, yet pragmatic and adaptable solutions as it blends the strengths of ML, PM, ME, and PA knowledge domains. Additionally, PA played an important role in providing formal and mathematical foundations for the specification and validation of the PM methods and tailoring processes
Teaching Global Software Engineering: Experience Report Comparing Distributed, Virtual Collaborative Courses at the Bachelor's and Master's Degree Levels
Authors: Yuan-Chih Fu; Ligia Pastran Reina; P. Brockmann
Year: 2018

Students of software engineering need to learn the skills necessary to work together in geographically distributed, international teams. Both at the bachelor's and master's degree levels, students need to learn the intercultural and project management skills to work successfully in global software development teams. This paper reports experiences using Project-Based Learning methods used to teach virtual, cooperative courses in global software engineering. The effectiveness of Project-Based Learning for students at the bachelor's level is compared to its effectiveness for students at the master's degree level.