derhan/semantic-scholar-manajemen-proyek huggingface dataset:
The importance of interdisciplinary collaboration for successful engineering project completions: A strategic framework
Authors: Emmanuella Onyinye Nwulu; Tari Yvonne Elete; Kingsley Onyedikachi Omomo; Oluwaseyi Ayotunde Akano; Ovie Vincent Erhueh
Year: 2023

Interdisciplinary collaboration has become a pivotal factor in the successful completion of complex engineering projects. As projects grow in scale and complexity, they require a diverse range of expertise from various disciplines, including civil, mechanical, electrical, environmental, and software engineering, as well as project management and financial planning. This review outlines a strategic framework for fostering interdisciplinary collaboration, emphasizing its role in improving project outcomes, enhancing innovation, and ensuring sustainable development. The framework is built on key pillars: effective communication, integrated project management, shared goals, and cross-disciplinary knowledge exchange. Effective communication across teams ensures that technical and non-technical stakeholders align their understanding of project objectives and challenges. Integrated project management strategies streamline workflows, reduce redundancies, and ensure that each discipline's contributions complement each other. Shared goals motivate teams to collaborate toward a common vision, driving innovation and problem-solving. Cross-disciplinary knowledge exchange promotes continuous learning and the integration of cutting-edge technologies from different fields, allowing for more robust solutions to engineering challenges. The strategic framework also highlights the importance of utilizing digital tools, such as Building Information Modeling (BIM) and collaborative project management software, to facilitate real-time data sharing and coordination among teams. Furthermore, fostering a culture of inclusivity and openness to diverse perspectives is crucial for breaking down silos and ensuring that interdisciplinary collaboration is not only effective but also sustainable in the long term. By promoting interdisciplinary collaboration, engineering projects can achieve higher efficiency, reduce risks, and deliver more innovative, sustainable, and cost-effective solutions. This review underscores that a structured approach to collaboration is essential for navigating the complexities of modern engineering projects, ultimately contributing to their successful completion.
The Application of Decision Tree Classification Algorithm on Decision-Making for Upstream Business
Authors: Mohd Shahrizan Abd Rahman; Nor Azliana Akmal Jamaludin; Zuraini Zainol; Tengku Mohd Tengku Sembok
Year: 2023

—In today's rapidly advancing technological landscape and evolving business paradigms, the pursuit of insightful patterns and concealed knowledge beyond conventional big data becomes imperative. This pursuit serves a crucial role in aiding stakeholders, particularly in the realms of tactical decision-making and forecasting, with a particular focus on business strategy and risk management. Strategic and tactical decision-making holds the key to sustaining the longevity, profitability, and continuous enhancement of the oil and gas industry. Therefore, it is paramount to address this need by uncovering the most effective Decision Tree (DT) techniques for various challenges and identifying their practical applications in real-life scenarios. The integration of big data with Machine Learning (ML) stands as a pivotal approach to foster data-driven innovation within the oil and gas sector. This study aims to offer valuable insights and methodologies for efficient decision-making, catering to the diverse stakeholders within the oil and gas industry. It focuses on the exploration of optimal DT techniques for specific problems and their relevance in practical situations. By harnessing the potential of machine learning and collaborative efforts among research scientists, big data practitioners, data scientists, and analysts, the study strives to provide more precise and effective data. Furthermore, it is imperative to recognize that not all stakeholders are mathematicians. In project management, a holistic approach that considers humanistic perspectives, such as risk analysis, ethics, and empathy, is crucial. Ultimately, the output and findings of any system must be accessible, comprehensible, and interpretable by humans or human groups. The success of these insights lies not just in their mathematical precision but also in their ability to resonate with and guide human decision-makers. In this light, the study emphasizes the human element in data interpretation and decision-making, acknowledging that the system's output will require human interaction, analysis, and ethical considerations to be truly effective in driving positive outcomes in the industry.
Teaching Project Management Skills: An Example of Collaboration between a University and the Local PMI Chapter
Authors: Robin S. Poston
Year: 2010

The demand for project management skills in industry is increasing; however the number of individuals who can meet the demand is decreasing. Universities are addressing these changes by developing project management degree programs. In this paper we describe the experience of a collaborative effort between one University and a local chapter of the Project Management Institute (PMI). The result is a popular and highly successful program in which project management professionals from the PMI are engaged in student learning by providing a guest lecture series, serving as mentors for class projects, providing actual organizational projects for students to analyze and apply class concepts, and serving as judges on student team project competitions. The results are students who receive a rigorous education, hands on experience in industry, form relationships with, and learn practical skills from PMI volunteers; grounding their formal education in practical industry experience.
A Study on an Effect of Budget Expenditure Rate and Project Participation rate on R&D Performance
Authors: Sun-Young Lee
Year: 2023

This study examined the impact of the R&D budget, researchers, and R&D input strategies, such as budget expenditure rate and project participation rate, on the R&D performance. Hierarchical regression analysis was conducted using the budget and researchers as the first independent variables, budget expenditure rate as the second independent variable, and R&D project participation rate as the third independent variable, which influenced research outcomes, such as papers, patent, and technology transfer, targeting Korean government-funded research institute in the field of science and technology. The budget had no positive effects on the research outcomes, while researchers had positive effects on the research outcomes. In the case of papers with a scientific outcome, the early spending of a budget is essential to enhance the outcome, while the budget has no effect on patent and technology transfer. Therefore, a different resource allocation strategy is needed to promote R&D performance according to the outcome type. A project management method that focuses on early execution should be avoided, and research projects that focus on expanding research funds should be promoted.
THE CONTEMPORARY POLITICAL SECURITY ANALYTICS: «ORDINARY» APPROACHES TO THE FORMATION OF PUBLIC EXPERT CONTENT
Authors: O. Tretyak
Year: 2024

The article is devoted to the basics of public perception of the political security of the state in the conditions of a full-scale invasion of modern Russia into Ukraine. The purpose of the study is to establish the specifics of the analysis of communication threats to modern political security in the public sphere. The significance of “ordinary” or “everyday” approaches to political-security analysis and production of political-security content is characterized. It was emphasized that the “retrospective approach” or “method of historical analogies” in the situational dimension involves comparing the security message or the security crisis situation as a whole with certain historical events of the past. The behavior of the subjects (actors) of the retrospective analysis, who risk drawing the wrong conclusion and incorrectly reflecting the real world, is analyzed. The principles of commenting on the political and security situation based on taking into account a relatively narrow range of facts and circumstances are revealed. The factors of preparation for various outcomes of the development of events and increased preparedness for unexpected situations have been clarified. The guidelines for fostering a culture of “experimentation” and continuous improvement, which is especially important in the context of expert protection of business processes from potential political threats, are revealed. Security analytics ecosystems and the integration of open data observations have been proven to improve the effectiveness of security analysis. Networked horizontal communication and data sharing “ecosystems” between related non-governmental expert-analytical structures have been found to focus on understanding and using social and organizational networks to identify potential threats and opportunities for cooperation. It is substantiated that in the production of secure analytical content it is important to apply the principles of flexible project management. It was established that the possibilities of increasing the effectiveness of retrospective analytics appear on the basis of the selection of historical analogies according to the parameters of the functional conditions. It was found that analysts try to assess security events from the side of a “distant observer” based on a “backward” approach. It was concluded that an important means of discrediting informational “throws” of the enemy is an asymmetric communication action (action) based on the formation of the agenda.
Student Experiences in a Distributed, Hybrid Global Software Engineering Course
Authors: Nimra Ayub; Melanie Hauser; P. Brockmann; D. M. Marutschke; V. Kryssanov
Year: 2023

This paper reports on students’ experiences in a cooperative, virtual course in global software engineering. A hybrid course to teach global software engineering which was conducted collaboratively as a cooperation between two universities in Japan and Germany is described. Results of a course retrospective from the students’ point of view are presented. Lessons learned during the pandemic, such as online collaboration and agile project management, were shown to be advantageous even after the pandemic.
Information systems project management practice in Portugal - looking at the past to perspective the future
Authors: Nilton Takagi; Carlos Ueslei Rodrigues de Oliveira; Fernando Escobar; António Trigo; Luis Silva Rodrigues
Year: 2023

The study of Information Systems Project Management (ISPM) practice is fundamental for developing knowledge in this field. Over the past few years, several studies have been conducted in organizations by professionals and academics to identify approaches, processes, tools, and techniques, among other relevant aspects of project management practice. The use of these practices can be related to various factors, such as trends in the world of work or even the cultural context. In this way, an insight into the context of a given region can support actions to improve ISPM practice and raise success rates in information systems projects. This paper presents the results of a systematic literature review that seeks to synthesize how project management on information systems is practiced in Portugal and identify opportunities for developing the project management body of knowledge.
Bidirectional Absolute GRA/GIA Model for Uncertain Systems: Application in Project Management
Authors: S. Javed; Sifeng Liu
Year: 2019

This paper extends the existing absolute grey relational analysis (Absolute GRA) model, also called the absolute degree grey incidence analysis (ADGIA) model. By working on the limitations of the existing Absolute GRA model, the proposed model, named Bidirectional Absolute GRA (BAGRA) model, is better equipped to handle uncertain systems being represented by uncertain data. It is suitable for simultaneous handling of both linear and nonlinear arrays of data with both consistent and inconsistent directions of motion. The model introduces a bidirectional grey relational degree that is a composite measure of both direction and strength of the relationship. The study also introduced two scales to test the appropriateness of collected data to measure the confidence level on the information extracted from that data. In the end, after the pilot testing, the model is being applied on an R&D project management case from a real world. The work is important both theoretically and practically, especially for the data analysts concerned with the uncertain relationships between different data arrays, in general, and for the grey systems analysts, in particular.
Success factors of process digitalization projects - insights from an exploratory study
Authors: Marie-Sophie Baier; J. Lockl; Maximilian Röglinger; Robin Weidlich
Year: 2022

PurposeIn an exploratory approach, the authors conducted a structured literature review to extract candidate process digitalization project (PDP) success factors (SFs) from the literature on business process management (BPM), project management (PM) and digitalization. After that, the authors validated, refined and extended these intermediate results through interviews with 21 members of diverse PDP teams. Finally, the authors proposed the PDP success model by linking the candidate SFs with relevant success criteria.Design/methodology/approachDigitalization substantially impacts organizations, which increasingly use digital technologies (DTs) to improve and innovate their business processes. While there are methods and tools for identifying process digitalization ideas and related projects (PDPs), guidance on the successful implementation of PDPs is missing. Hence, the authors set out to explore PDP SFs.FindingsThe PDP success model covers 38 PDP success factor candidates, whereof 28 are already backed by the literature and ten have emerged during the interviews. Furthermore, the SFs are structured according to seven categories from the literature covering a broad range of sociotechnical topics (i.e. strategy, structure, culture, people, process, project and technology) as well as equipped with preliminary success rationales.Originality/valueThe work is the first to systematically explore PDP SFs. The PDP success model shows that PDPs require a unique set of SFs, which combine established and hitherto underrepresented knowledge. It extends the knowledge on BPM and serves as foundation for future (confirmatory) research on business process digitalization and the successful implementation of PDPs.
Exploring the SPM system structure model by using Fuzzy DEMATEL for NPD
Authors: Yu-Yun Chang; Meng-Jong Kuan; Yen-Ching Chuang; G. Tzeng
Year: 2011

Standardized project management (SPM) is regarded as a well-structured system for improving the success of new product development projects. SPM can be defined as a standardized set of project management practices. It helps achieve the company's strategic goal through the effective use of project-driven approach. This paper used a Decision Making Trial and Evaluation Laboratory (DEMATEL) method to help companies to create a critical Standardized Project Management system and identify the influence of dimensions and criteria in the SPM system. First of all the dimensions and criteria of the SPM system are determined. DEMATEL approach is then applied to construct the SPM system structure model with Fuzzy number influence interrelationship among dimensions and associated criteria. An empirical case from industry is used to explore the effectiveness of the proposal approach.
Holistic Perspective to Individual Study Plan: Personal Development Project Plan
Authors: V. Kivimäki; Saara Meriluoto
Year: 2018

How could we reinvent the Individual Study Plan (ISP) in order to promote students' study planning? What kind of ISP model could truly motivate students? Based on graduate feedback we know that students feel they should have learned more about project management. That observation led to integrating project planning and management elements with individual study planning into the Personal Development Project Plan (PDPP) in a course setting. PDPP was co-designed with students. The aim was to design something that would help students track their achievements and plan their personal development, i.e. match personal development with project planning. PDPP puts all the focus on the individual level. Through an iterative and incremental process, students are intended to find their own personal targets and design the means and tools to track how they're advancing towards set targets. We see PDPP as a way to manage the expectations one faces as well as a tool for managing one's well-being. Through the PDPP process, students learn how they can take ownership of their studies. This should result in students having improved time management skills and the ability to reach 60 ECTS credits per academic year while increasing their probability of completing their degrees in the normative timeframe. These factors are also elements of the university's funding model, thus the use of PDPP could be seen as an investment. To date, we have early non-formal results indicating that more credits are completed by the students who have participated in PDPP compared to those who have not. Student feedback and teacher observations indicate positive learning experiences and effective learning in extracurricular skills and life planning.
The Application of Internet Technology in Enhancing the Efficiency of the Gig Economy
Authors: Jiashuo Ma
Year: 2024

As our country's overall strength continues to grow, internet technology has rapidly developed, giving rise to the gig economy as a new economic form. The gig economy is characterized by its strong flexibility and intelligence, becoming the choice of many, while providing businesses with a broader range of human resource options. Traditionally, the gig economy has been limited by geographical and informational constraints, making it difficult for supply and demand to match effectively. However, with the widespread adoption of internet technology, gig workers and demanders can easily post and search for information online, achieving precise matches. This efficient circulation of information not only reduces search costs but also improves matching efficiency, making the gig economy more flexible and efficient. Additionally, internet technology enhances the efficiency of the gig economy by optimizing organizational management and processes. With tools such as project management software, automation, and intelligent processes, teams within the gig economy can better coordinate work and improve work efficiency. These technologies reduce error rates, ensure the quality and effectiveness of work, and promote the sustainable development of the gig economy.
Influence of Knowledge Acquisition Practices on the Performance of County Development Projects in Meru County Government
Authors: Beatrice Karwirwa Mukiira; R. Obuba
Year: 2023

Public infrastructure projects have progressed at a moderate rate since independence. The information provided by the Kenyan government in 2014 regarding their vision for 2030, aiming to make Kenya an internationally competitive and prosperous nation, shows that the slow progress in implementing public infrastructure projects has resulted in inadequate road networks, underdeveloped public facilities, a lack of connectivity between rural areas and industrial hubs, insufficient measures to mitigate challenges in agricultural regions, and a decline in formerly thriving industries. County governments face a significant challenge in effectively utilizing knowledge management within project management to maximize their outcomes. This research aimed to ascertain whether knowledge acquisition practices influences performance of county development projects in Meru County Government. The research was conducted in a descriptive manner. It targeted a total of 139 respondents from nine Sub-counties in Meru County, including members of county assemblies (MCAs), sub-county departmental heads, project management committee members, and county chief officers. A sample of 103 individuals was selected from the population to participate in the survey. Structured questionnaires were used as the primary research tool to collect data from the population. The responses were coded and categorized accordingly. The data collected was inputted into SPSS 27.0 and MS Excel for further computational analysis. The study revealed a strong correlation coefficient, with an R value of 0.897, indicating a high level of correlation between the variables. The adjusted R-squared value, which was 0.801, suggested that variations in county development projects were significantly influenced by the independent variable. The study's findings suggest that knowledge acquisition had a positive impact on the performance of the county development projects in Meru County. To enhance this positive influence, the study recommends that the public service engage with technical experts in specific fields for knowledge creation, emphasize the value of employees, organize formal training sessions for new knowledge creation, plan seminars for knowledge sharing, and ensure that staff members are trained in diverse tasks to facilitate information exchange. Furthermore, it is recommended that training programs encompass a wide range of tasks and duties to promote knowledge sharing among staff.
Exploring How Different Project Management Methodologies Impact Data Science Students
Authors: J. Saltz; Robert Heckman; Ivan Shamshurin
Year: 2017

This paper reports on a controlled experiment comparing different approaches on how to guide students through a semester long data science project. Four different methodologies, ranging from a traditional “just assign some intermediate milestones” to other more agile methodologies, are compared. The results of the experiment shows that the project methodology used in the classroom made a significant difference in student outcomes. Surprisingly, an Agile Kanban approach was found to be much more effective than an Agile Scrum methodology, which was not one of the leading ap-proaches.
Optimizing biomedical discoveries as an engine of culture change in an academic medical center
Authors: Anne K. DeChant; Stephen D. Fening; Michael Haag; William E Harte; Mark R. Chance
Year: 2022

Abstract Academic discovery in biomedicine is a growing enterprise with tens of billions of dollars in research funding available to universities and hospitals. Protecting and optimizing the resultant intellectual property is required in order for the discoveries to have an impact on society. To achieve that, institutions must create a multidisciplinary, collaborative system of review and support, and utilize connections to industry partners. In this study, we outline the efforts of Case Western Reserve University, coordinated through its Clinical and Translational Science Collaborative (CTSC), to promote entrepreneurial culture, and achieve goals of product development and startup formation for biomedical and population health discoveries arising from the academic ecosystem in Cleveland. The CTSC Office of Translation and Innovation, with the university’s Technology Transfer Office (TTO), helps identify and derisk promising IP while building interdisciplinary project teams to optimize the assets through key preclinical derisking steps. The benefits of coordinating funding across multiple programs, assuring dedicated project management to oversee optimizing the IP, and ensuring training to help improve proposals and encourage an entrepreneurial culture, are discussed in the context of a case study of therapeutic assets, the Council to Advance Human Health. This case study highlights best practices in academic innovation.