derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Designing Export-Import Operations and International Logistics under the Martial Law Conditions
Authors: M. Boichenko; A. Dudnyk; M. Boiarkin
Year: 2024

The article examines the peculiarities of managing foreign trade business operations by using project management methods. The study identifies the peculiarities of management decisions made under conditions of limited access to foreign markets and heightened risks of domestic goods transportation due to ongoing hostilities. The paper examines the characteristics of Ukrainian and European transport infrastructure and its potential for use in multimodal transportation. It also analyzes the challenges faced by exporters of Ukrainian goods when transporting goods across the country’s customs. The dynamics of cargo transportation by the main modes of transport within the country were considered, the structure of export and import of the main groups of goods in 2023 was presented, and the movement of goods in 2022-2023 across the Ukrainian border was compared. Special attention is paid to the dynamics of rail, automobile, and water transportation both within Ukraine and abroad, as well as to the analysis of the reasons for such changes. Taking into account the risks faced by Ukrainian exporters and importers, the article proposes to use the project management methodology modified by the authors, known as the maturity model of the project management process, which integrates the strengths of primary project management with the ability for rapid management responses when designing a business operation. This model enables companies to adapt and modify the terms of cargo delivery. The proposed model for designing foreign economic business operations allows for the control of costs associated with the execution of the operation, the involvement of the necessary human resources, compliance with delivery timelines, and the management of risks during the execution of operations.
Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases
Authors: M. Staton; Ethalinda K. S. Cannon; L. Sanderson; J. Wegrzyn; Tavis K. Anderson; Sean Buehler; Irene Cobo-Simón; K. Faaberg; Emily S. Grau; V. Guignon; Jessica J. Gunoskey; Blake Inderski; Sook Jung; K. Lager; D. Main; Monica F. Poelchau; Risharde Ramnath; P. Richter; J. West; S. Ficklin
Year: 2021

Abstract Online, open access databases for biological knowledge serve as central repositories for research communities to store, find and analyze integrated, multi-disciplinary datasets. With increasing volumes, complexity and the need to integrate genomic, transcriptomic, metabolomic, proteomic, phenomic and environmental data, community databases face tremendous challenges in ongoing maintenance, expansion and upgrades. A common infrastructure framework using community standards shared by many databases can reduce development burden, provide interoperability, ensure use of common standards and support long-term sustainability. Tripal is a mature, open source platform built to meet this need. With ongoing improvement since its first release in 2009, Tripal provides full functionality for searching, browsing, loading and curating numerous types of data and is a primary technology powering at least 31 publicly available databases spanning plants, animals and human data, primarily storing genomics, genetics and breeding data. Tripal software development is managed by a shared, inclusive governance structure including both project management and advisory teams. Here, we report on the most important and innovative aspects of Tripal after 11 years development, including integration of diverse types of biological data, successful collaborative projects across member databases, and support for implementing FAIR principles.
ODBIS: towards a platform for on-demand business intelligence services
Authors: M. Essaidi
Year: 2010

In recent years, Software-as-a-Service (SaaS) is gaining momentum with more and more successful adoptions. Several companies including some well known names have embraced this new model for software distribution. In this paper we present ODBIS, an open source infrastructure to build and deliver On-Demand Business Intelligence Services. The ODBIS platform constitutes a future perspective to provide SaaS deployment model for business intelligence applications. ODBIS offers a unified and innovative multi-layered architecture to support different business intelligence needs, this includes: (i) Core business intelligence services which cover essential data warehousing tasks as meta-data management, data integration, reporting and analysis; all built in an integrated manner using standard APIs. (ii) Services for data warehousing projects management and models design based on a model-driven approach using the 2 Track Unified Process (2TUP) and the Model Driven Architecture (MDA) standards. (iii) Services for a centralized administration which provide an enterprise-grade security including authorities, roles, users and groups management mainly based on spring security.
Past, Present, and Future of Technological Business Development: A Bibliometric Study
Authors: Seyyed Amir Hossein Shobeiri
Year: 2024

Objective: Business development is a capability consisting of practices and skills involved in identifying opportunities, directing, and employing resources to expand a company's value-creating activities in areas of technology or markets that are relatively new to the company, thus enabling growth. In recent years, researchers have shown an increased interest in the area of technological business development, leading to a considerable accumulation of knowledge in this field. Methodology: Accordingly, the current research utilized a systematic review approach, employing the PRISMA protocol for document screening. A bibliometric review of 205 studies, from 1984 to the present, was conducted using data analysis software such as VOSviewer and R. This included performance analyses such as the analysis of the most influential journals and authors in the field of technological business development, and network analyses including co-citation of authors, co-citation of countries, and co-occurrence of terms. The findings of this research can be beneficial for researchers and policymakers in the field of technological business development. Findings: The analyses indicate that the leading author in the field of technological business development, who has the most global citations in this area, is Keil. His article, titled "The impact of governance methods and the articulation of external business development activities on innovative performance," was published in 2008. Indeed, his paper is the most important and most cited in this field. In terms of the most influential journal, the analyses show that the journal Technological Forecasting and Social Change is the most influential in the field of technological business development. As for the most influential countries, Finland has the highest number of citations in the field of technological business development, followed by Poland, China, Korea, the Netherlands, the United Kingdom, Germany, India, the United States, and Romania. Conclusion: The results of the network analysis in this study clarified that based on the co-citation patterns of researchers, a cluster core author named Theis has the most co-citations among various authors. Additionally, the co-citation analysis of countries shows that there is established collaboration between Pakistan and Chile, Chile and China, Georgia and China, Pakistan and China, the United Kingdom and China, Macedonia and Croatia, North Macedonia and Croatia, the United Kingdom and Finland, France and India, as well as Italy and India. In the analysis of keyword co-occurrence, the results highlighted that the most frequent co-occurrences with the field of technological business development are terms such as technology, economy, strategic planning, research and development management, innovation, communities and institutions, product development, project management, small businesses, and new business development.
The role of project management office (PMO) manager: A qualitative case study in Indonesia
Authors: Dr. Mohammad Ichsan; J. Sadeli; Gregorian Jerahmeel; Yesica Yesica
Year: 2023

Abstract In recent years, the need for PMOs in various organizations has increased due to the positive impact of PMOs on the projects being carried out. This phenomenon is also occurring in Indonesia, but it does not work the way PMO should. This study, therefore, attempts to provide the role of the PMO manager so that they can adequately carry out their task, as there is as yet no literature that specifically addresses the role of the PMO manager. This study uses descriptive qualitative research methodology by performing three main activities. First, determining the functions of PMO that were derived from 70 papers. Second, making the pre-FGD survey based on the findings from the literature review of the functions of PMO. Third, making focus group discussion (FGD) to discuss, validate the result of the pre-FGD survey, and determine the role of PMO manager. This study found 60 roles of PMO manager within the scope of the seven functions of PMO. Although the study was carried out as part of the PMO in Indonesia, the respondents were PMO Managers. practitioners, and academics from Indonesia, the findings contribute to the latest PMO literature developments and open up opportunities for future research on the PMO manager’s competency framework.
Importance-Performance Analysis (IPA) in Researching the Satisfaction of Simulation
Authors: Qi Lai; John Denholm
Year: 2024

Students are the customers of higher education, and their satisfaction directly influences service quality in the tertiary sector. It is essential, therefore, to research students' views. This can be done by applying important-performance analysis (IPA), an effective tool for achieving satisfaction. The study described in this article focuses on data obtained from research into the Programme and Project Management major which is a Master's program in the United Kingdom. The course, Managing the multi-project and programme environment (MMPE), combines theory with practice through offline-business simulation. The program focuses on imparting skills to graduate students in the management field. The performance and importance of thirteen items were connected to motivation and teamwork. The results revealed that not all student respondents are satisfied with the simulation. Utilizing IPA, the research suggests that tutors should prioritize improving communication and relationships among both the programme and project teams, specifying accountability and work allocations, motivating students to achieve goals, and refining feedback methods. These recommendations could be applied to other business simulations that aim to improve student satisfaction.
Detection of destructive emotions in projects implemented in the open source formula
Authors: Krzysztof Targiel
Year: 2024

Purpose: The aim of this paper is to present findings in automatic emotion detection in project
management.
Design/methodology/approach: The approach adopted involves psychological literature
review in area of destructive emotions. Then, an attempt was made to detect such emotions in
text communication available in Open Source projects using neural networks. The neural
network was trained to recognize basic emotions in text, based on available labeled training
data. Then, the network trained in this way was used to recognize situations in which anger as
an example of a destructive emotion, occurs in electronic communication regarding an Open
Source projects.
Findings: The paper discusses three fundamental research questions that arise in the context of
using machine learning methods to analyze emotions in projects. The first of them concerned
what data can be used for analysis. It was established that electronic communication in projects
implemented in the open source formula is publicly available and susceptible to text analysis.
The second question concerned the methods that can be used in the analysis of emotions.
Here it was established that machine learning methods may be useful due to the problems
described in the literature with the use of dictionary methods. The third question concerned the
existence of tools for use in detecting emotions. This is a question about whether machine
learning methods are actually able to recognize emotions in real communication taking place
in software projects.
Research limitations/implications: In the work, the analysis of the possibilities of automatic
emotion detection in project management was presented. The focus was on detecting one type
of emotion, namely "anger" as the most important from the point of view of project coherence.
Further research may concern the detection of other emotions and their constellations.
Originality/value: The novelty of paper is an attempt to define a framework for the use of
known methods of automatic emotion detection in project management.
Keywords: project management; emotion recognition; natural language processing.
Category of the paper: Conceptual paper.
Project Management in the Wind Energy Field. Case Study: Evaluation of Wind Energy Projects through the Net Present Value
Authors: Maria Alexandra Maassen
Year: 2023

Abstract Wind energy has become one of the main sources of green energy having reached a peak of 220 GW installed wind capacity in 2020 in the European Union according to the TPA report (2021). With the expansion of wind energy installments, project management in the field also had numerous challenges in terms of estimating wind energy projects worth implementing in terms of capital and operating costs, as well as benefits. The present article presents the main method of evaluating wind energy projects, namely the net present value applied on specific costs and benefits of a wind energy installment in order to determine whether it is worth implementing or not. The paper contributes to the scientific literature by applying this method of analyzing wind energy projects before installment, a characteristic that is compulsory for project management in the field in order to adapt the project if needed in terms of costs or revenue streams.
Implementing microlearning and gamification techniques in teaching software project management concepts
Authors: D. Suciu
Year: 2022

The primary objective of this research is to examine the advantages of combining microlearning with specific gamification elements in an academic setting and to gain a better understanding of how microlearning and gamification aid computer science students in comprehending and expanding their knowledge of project management-related topics. Implementing microlearning methods and gamification-specific aspects in two of our faculty's courses increased students' engagement, performance, and retention of knowledge, according to our research. In addition, students felt more driven to participate in online course discussions.
An Empirical Study of Development Visualization for Procurement by in-Process Measurement during Integration and Testing
Authors: Y. Mitani; H. Yoshikawa; S. Tsuruho; Akito Monden; Mike Barker; Ken-ichi Matsumoto
Year: 2011

This study describes a new method of development visualization along with empirical evidence of its usefulness. Typically, development activities such as program design, programming, and unit testing are not disclosed to the procurement organization (project owner). However, during integration and testing, various issues require collaboration between the procurement organization and developers. When this occurs, it is important to make the development process visible. Recent reports indicate the usefulness for project management of various in-process project measurements which allow visualization of the formerly invisible software project progress [1–6]. Based on this background, the authors investigated a case study where in-process measurement during the integration and test phase helped to make development issues visible. In this study, data obtained from the integration and testing phase were compared to a development process model. This model was based on the author's experience, and provided a vivid picture of the development activity. By applying in-process measurements in collaboration during the integration test phase, the development activity was clearly visualized, and the procurement organization understood problems.
Product-resource planning system
Authors: Oleksii Iegorchenkov; Nataliia Yehorchenkova
Year: 2016

In the article we consider the implementation of the matrix information management project technology in the form of PRP-system, which is an example of a new class of Project Management systems. The functions, structure and components are described. Also we represented its unique advantages over existing traditional Project Management information systems, e.g. simulation modeling and product planning.
Long-Term Optimal Investment Strategies in the Presence of Adjustment Costs
Authors: A. Løkka; M. Zervos
Year: 2013

We consider the problem of determining in a dynamical way the optimal capacity level of an investment project that operates within a random economic environment. In particular, we consider an investment project that yields payoff at a rate that depends on its installed capacity level and on a random economic indicator such as the price of the project's output commodity. We model this economic indicator by means of a general one-dimensional ergodic diffusion. At any time, the project's capacity level can be increased or decreased at given proportional costs. The aim is to maximize an ergodic performance criterion that reflects the long-term average payoff resulting from the project's management. We solve this genuinely two-dimensional stochastic control problem by constructing an explicit solution to an appropriate Hamilton--Jacobi--Bellman equation and by fully characterizing an optimal investment strategy.
Shuffled Frog Leaping Algorithm for Preemptive Project Scheduling Problems with Resource Vacations Based on Patterson Set
Authors: Yi Han; I. Kaku; Jianhu Cai; Yanlai Li; Y. Chao; Lili Deng
Year: 2013

This paper presents a shuffled frog leaping algorithm (SFLA) for the single-mode resource-constrained project scheduling problem where activities can be divided into equant units and interrupted during processing. Each activity consumes 0–3 types of resources which are renewable and temporarily not available due to resource vacations in each period. The presence of scarce resources and precedence relations between activities makes project scheduling a difficult and important task in project management. A recent popular metaheuristic shuffled frog leaping algorithm, which is enlightened by the predatory habit of frog group in a small pond, is adopted to investigate the project makespan improvement on Patterson benchmark sets which is composed of different small and medium size projects. Computational results demonstrate the effectiveness and efficiency of SFLA in reducing project makespan and minimizing activity splitting number within an average CPU runtime, 0.521 second. This paper exposes all the scheduling sequences for each project and shows that of the 23 best known solutions have been improved.
Enhancing Program Outcomes and Academic Performance through Problem-Based Learning in an Antennas and Wave Propagation Course
Authors: Devika Sv; Arvind Siddapuram; Rashpinder Kaur; Kondala Rao P
Year: 2024

Abstract— Problem-Based Learning (PBL) is increasingly recognized as an effective educational approach in engineering education, helping improve critical thinking and practical skills. In the context of the Antennas and Wave Propagation course for third-year Electronics and Communication Engineering (ECE) students, traditional teaching methods often fall short in engaging students and addressing all program outcomes (POs). This study involved implementing PBL in the Antennas and Wave Propagation course, where students were divided into teams and given a problem statement related to the course. Each team was tasked with developing a solution and creating a prototype. The implementation included several steps: defining the problem, brainstorming, research, solution design, prototype development, and final presentation. Data was collected through predefined rubrics assessing various criteria, such as problem understanding, solution quality, teamwork, and presentation skills. The rubrics were designed to map each activity to specific POs. The collected data was analyzed to compare the target and attained values of each PO to evaluate the effectiveness of PBL. The preliminary results indicate a positive impact of PBL on both student engagement and academic performance. Students demonstrated improved understanding and application of theoretical concepts, as evidenced by the quality of their prototypes and presentations. The analysis shows that the academic performance of the students is improved and attained values for most POs met or exceeded the target values, particularly in areas like problem-solving (PO2), Engineering design (PO3), Conduct Investigations (PO4), Modern tool usage (PO5), Teamwork (PO 9) and Project Management (PO11). Student feedback was overwhelmingly positive, highlighting enhanced learning experiences and increased motivation. This study explores the implementation of PBL to improve academic performance and ensure comprehensive coverage of POs. 

Keywords— Problem-Based Learning, Antennas and Wave Propagation, Engineering Education, Program Outcomes, Academic Performance
Project Management of Randomized Clinical Trials: A Narrative Review
Authors: H. Goodarzynejad; Abdolreza Babamahmoodi
Year: 2015

Context: A well-structured protocol for a clinical trial may be able to answer clinical questions, but it cannot be deemed enough to ensure success in the face of incompetent management of time as well as human and economic resources. To address this problem, in this article, we present our literature review on evidence as to how a good knowledge of proper management among researchers can enhance the likelihood of the success of clinical trial projects. Evidence Acquisition: Using multiple search strategies, we conducted a literature review on published studies in the English language from 2002 to 2012 by searching the Cochrane Database of Systematic Reviews, MEDLINE, Google Scholar, and EMBASE. Results: Our review suggests that a successful trial requires a work plan or work scope as well as a timeline. The trial manager should subsequently manage the study in accordance with the plan and the timeline. Many research units have called for a clinical project manager with scientific background and regulatory skills to effect coordination among various aspects of a clinical trial. Conclusions: Project management may benefit both the managerial and scientific aspects of medical projects and reduce fund waste. However, little has been written to date on project management in the context of clinical research. The suggestions represent the views of the individual authors. To provide a high level of evidence in this regard, we recommend that a randomized controlled trial be performed to compare trial projects progressed with and without the use of project management.