derhan/semantic-scholar-manajemen-proyek huggingface dataset:
FACTORS INFLUENCING PERFORMANCE OF ARTISANAL AND SMALL SCALE MINING PROJECTS IN TAITA TAVETA COUNTY, KENYA
Authors: J. K. Baru; Makori Moronge
Year: 2018

The purpose of the study was to establish factors that influence performance of artisanal and small scale mining projects in Taita Taveta County, Kenya. The design of this research was a descriptive survey research. The study used a census and the population for the study was 155 artisanal and small scale mining projects in Taita Taveta County, Kenya. It was notable that there exists a strong positive relationship between the independent variables and dependent variable. The data also had a high value of coefficient off determination (R 2 = 0.724. This showed that the independent variables in the study were able to explain 72.40% variation in the performance of artisanal and small scale mining projects in the study area while the remaining 27.60% was explained by the variables or other aspects outside the model. This indicated that the set of independent variables were important factors that needed to be enhanced to boost performance of artisanal and small scale mining projects in the study area. The study recommended for enhancement of stakeholder involvement in the projects. There is need to develop stakeholder engagement plans that describe the project stakeholder requirements. The study recommended that project teams involved in the various projects be equipped with more project management skills to enhance performance of artisanal and small scale mining projects in Kenya. There is a need for enhancing the planning, communication, l eadership and management skills of managers. There is also need to ensure that there is adequate project financing to boost the performance of artisanal and small scale mining projects in Kenya . This would reduce budgetary constraints, cost overruns and reduce interference with running of operations according to the project schedule, and reduce the threat of insufficient capital to run project activities. Internal controls and record keeping are important to boost performance of artisanal and small scale mining projects in Kenya . Key Words: Stakeholder Involvement, Project Management Skills, Project Funding, Technology, Performance
A Practice Placement Education Model Based upon a Primary Health Care Perspective Used in South Australia
Authors: S. Hunt
Year: 2006

Undergraduate education programmes play a major role in the development of the profession; providing practice placement education opportunities across a range of settings prepares graduates for the diversity of practice. This paper describes a practice placement education model, developed in South Australia, which enables graduates to work effectively from a primary health care or social health perspective to engage actively with the paradigm shift occurring in health. The model consists of three phases. Phase one comprises academic input relating to social health philosophy and the link with occupational therapy, as well as knowledge and skills in project management. Phase two allows students to explore a range of community-based agencies and potential project opportunities. Phase three involves the implementation and evaluation of a project aimed at addressing a specified need in the community in a sustainable manner. A synopsis of several projects is provided to demonstrate the variety of agencies and issues that can be addressed using such a model.
IT Project Variables in the Balance: A Bayesian Approach to Prediction of Support Costs
Authors: B. L. Dalmazo; A. L. R. D. Sousa; Weverton Cordeiro; Juliano Araujo Wickboldt; R. C. Lunardi; R. Santos; L. Gaspary; L. Granville; C. Bartolini; M. Hickey
Year: 2011

In the context of Information Technology (IT) project management, it is commonly accepted that the costs associated with support actions are strongly influenced by the effort spent during their development and test phases. Despite the importance of systematically characterizing and understanding this relationship, little has been done in this realm mainly due to the lack of proper mechanisms for both sharing information between IT project phases and learning from past experiences. To tackle this issue, we present a Bayesian model to perform support cost predictions based on data from software development and test phases. In addition, we present a qualitative and quantitative analysis of the model, in order to demonstrate its effectiveness and efficiency, and also discuss its potentialities and limitations.
Resources
Year: 2010

Academy for Conflict Transformation (7 February-15 April, Bonn): The academy offers a variety of training and certification programmes in German and English for civil conflict management in crisis areas. This nine-week qualification course will focus on developing basic skills and knowledge in peace and conflict theory, fields of action of the Civil Peace Service, conflict analysis tools, team and communication skills, project management and impact analysis, strengthening consulting skills, resource management and self-management. A twoweek field visit to a Civil Peace Service project or a peacebuilding project is included. Visit www.forumzfd-akademie.de/en-af/, call +49 228 850296-70 or e-mail akademie@ forumzfd.de
System Dynamics Modeling for SOA Project Management
Authors: J. Jeng; L. An
Year: 2007

Service-Oriented Architecture (SOA) has the potential to vastly improve IT's efficiency. But to implement one at an organization, enterprises need more than just technical know-how: the leadership team has to be skilled in management as well. Especially, SOA implies different emphasis of project management. This paper describes in brief the use of system dynamics models for managing large scale SOA projects. System dynamics is a methodology for studying and managing complex feedback systems, such as one finds in business and other social systems. In fact it has been used to address practically every sort of feedback system including project management. In this paper, we will present a framework of managing SOA projects and show how system dynamics model can be used to enhance the effectiveness and agility of SOA project management. A general SOA project lifecycle is presented and two examples are used to illustrate the needs and effectiveness of adopting quantified simulation method such as system dynamics into large-scale SOA projects.
VUCA environment on project success: The effect of project management methods
Authors: R. Moura; T. Carneiro; T. Dias
Year: 2023

Due to the ever-changing work environment in the age of digital transformation, project managers need to adapt to an environment which is volatile, uncertain, complex, and ambiguous (VUCA). Many organizations adopt management methods based on strict project management planning, assuming that they are the best way to succeed in any situation. However, projects may depend on flexibility to achieve success. This study aims to analyze the impact of adverse project environments on project success and the effect of the management method choice. A PLS-SEM model is tested on a survey of 332 project professionals. Findings showed that choosing a method that best fits the project’s environment can help catch up on project success only when it undergoes frequent changes throughout its life cycle.
A pattern language on how to apply visual instrument PRISM
Authors: S. Holtel
Year: 2013

PRISM is a visual instrument that improves a person's cognitive reasoning by facilitating the process of thinking. Its origins stem from efforts and experiences of psychotherapeutics in the early 1990s. Meanwhile the PRISM methodology - an acronym for «Pictorial Representation of Selfness III-Measure» - has spread wider to such domains as coaching processes, participant feedback and project management. This paper outlines a pattern language that should help PRISM facilitators to realize specific PRISM features when adapting this instrument to their dedicated domains. Research has shown strong effectivity and efficacy of using PRISM. Its modus operandi is based on a number of theoretical concepts like the relationship between humans and tools, the presentation of thoughts in a brain as mental models, and the power of visual metaphors. The author aims to extract and outline some patterns that seem to be key drivers to achieve most benefit from PRISM and will hopefully lower the threshold for those who want successfully leverage this methodology for their own purposes.
The relationship between project management and digital transformation: Systematic literature review
Authors: M. Gonçalves; Renato Penha; L. F. Silva; C. D. P. Martens; Vlamir F Silva
Year: 2023

ABSTRACT Purpose: This article aims to investigate the relationship between project management (PM) and digital transformation (DT) in organizations. Originality/value: This article contributes to expanding the knowledge of the relationship between PM and DT, indicating that PM and its different approaches are used strategically to enable DT implementation in organizations. In addition, it is evidenced that DT demands individuals with technical and behavioral competencies to work in innovative and rapid organizational, cultural, and technological contexts arising from adopting new digital technologies. Design/methodology/approach: The research is characterized as exploratory with a qualitative approach. The methodology adopted was the systematic literature review and sought to understand the relationship and convergence between PM and DT. The research was carried out broadly, and the articles were selected on the Web of Science, Scopus, and Google Scholar bases, forming the analysis corpus with 104 articles published from 2015 to 2020. Findings: The results converged in the composition of four factors: competencies; strategy; digital technologies; and portfolio, programs, and projects, demonstrating the evolutionary and adaptive capacity of PM to support major changes such as DT.
Creating sustainable small to medium enterprises through technological innovation
Authors: A. Thomas
Year: 2007

Abstract In order for UK manufacturing companies to meet the current pressures of a modern manufacturing environment they need to develop leaner, flexible, and more responsive manufacturing systems. At the heart of these requirements is the need to introduce advanced manufacturing technologies (AMT) into companies in order to improve their efficiency and responsiveness to customer demands. While technology continues to be developed at unprecedented rates, the number of companies implementing such technologies is low. This in turn threatens their long-term economic sustainability. This paper initially identifies the reasons why small to medium enterprises (SMEs) fail to adopt new and advanced technologies. It then goes on to propose a coherent strategy for the effective introduction and application of AMT in SMEs before proposing a model for the introduction of new and advanced technologies into these companies. The model is subsequently evaluated through its application in a number of SMEs and compares its performance through assessing the companies who adopted the model against those who decided not to use such a formal approach to technology implementation (TI). The creation of a generic TI model provides a framework for a wider number of SMEs to introduce AMT into their respective organizations since it provides for a systematic approach for SMEs to introduce AMT in an efficient and effective manner, thus reducing implementation costs and improving project management efficiency.
The Unending Quest for Valid, Useful Software Engineering Theories
Authors: M. Staples
Year: 2015

Using scientific disciplines as inspiration, some researchers have called for the creation of general theories for software engineering. I present a contrary view, drawing on recent work in the philosophy of engineering. Engineering theories are different to scientific theories, and are not judged by the same criteria. Software engineering researchers should strive to create valid theories about the uses of software-based systems, even if that leads to a multitude of theories that have narrow, overlapping scopes, are approximate, and have little explanatory power. The engineering imperative is that the predictions of software engineering theories should be consistent with actual behaviour of software-based systems, and that theories and should support assurances and explicit justification that systems will meet their requirements. Process theories are about the organisation of work and project management, and are relevant to cost and schedule requirements in software engineering. However, to directly provide evidence that software-based systems meet their main functional and non-functional requirements, software engineering researchers should focus on product theories, about the specifications, designs, code, and behaviours of software-based systems.
A Hybrid Semantic-Geometric Approach for Clutter-Resistant Floorplan Generation from Building Point Clouds
Authors: S. Kim; Yosuke Yajima; Jisoo Park; Jingdao Chen; Yong K. Cho
Year: 2023

Building Information Modeling (BIM) technology is a key component of modern construction engineering and project management workflows. As-is BIM models that represent the spatial reality of a project site can offer crucial information to stakeholders for construction progress monitoring, error checking, and building maintenance purposes. Geometric methods for automatically converting raw scan data into BIM models (Scan-to-BIM) often fail to make use of higher-level semantic information in the data. Whereas, semantic segmentation methods only output labels at the point level without creating object level models that is necessary for BIM. To address these issues, this research proposes a hybrid semantic-geometric approach for clutter-resistant floorplan generation from laser-scanned building point clouds. The input point clouds are first pre-processed by normalizing the coordinate system and removing outliers. Then, a semantic segmentation network based on PointNet++ is used to label each point as ceiling, floor, wall, door, stair, and clutter. The clutter points are removed whereas the wall, door, and stair points are used for 2D floorplan generation. A region-growing segmentation algorithm paired with geometric reasoning rules is applied to group the points together into individual building elements. Finally, a 2-fold Random Sample Consensus (RANSAC) algorithm is applied to parameterize the building elements into 2D lines which are used to create the output floorplan. The proposed method is evaluated using the metrics of precision, recall, Intersection-over-Union (IOU), Betti error, and warping error.
Risk assessment of infrastructure REITs projects based on cloud model: a case study of China
Authors: Yousong Wang; Enqin Gong; Yangbing Zhang; Yao Yao; Xiaowei Zhou
Year: 2023

PurposeThe need for infrastructure is growing as urbanization picks up speed, and the infrastructure REITs financing model has been crucial in reviving the vast infrastructure stock, alleviating the pressure on government funds and diversifying investment entities. This study aims to propose a framework to better assess the risks of infrastructure REITs, which can serve for the researchers and the policy makers to propose risk mitigation strategies and policy recommendations more purposively to facilitate successful implementation and long-term development of infrastructure REITs.Design/methodology/approachThe infrastructure REITs risk evaluation index system is established through literature review and factor analysis, and the optimal comprehensive weight of the index is calculated using the combination weight. Then, a risk evaluation cloud model of infrastructure REITs is constructed, and experts quantify the qualitative language of infrastructure REITs risks. This paper verifies the feasibility and effectiveness of the model by taking a basic REITs project in China as an example. This paper takes infrastructure REITs project in China as an example, to verify the feasibility and effectiveness of the cloud evaluation method.FindingsThe research outcome shows that infrastructure REITs risks manifest in the risk of policy and legal, underlying asset, market, operational and credit. The main influencing factors in terms of their weights are tax policy risk, operation and management risk, liquidity risk, termination risk and default risk. The financing project is at a higher risk, and the probability of risk is 64.2%.Originality/valueThis research contributes to the existing body of knowledge by supplementing a set of scientific and practical risk evaluation methods to assess the potential risks of infrastructure REITs project, which contributes the infrastructure financing risk management system. Identify key risk factors for infrastructure REITs with underlying assets, which contributes to infrastructure REITs project management. This research can help relevant stakeholders to control risks throughout the infrastructure investment and financing life cycle, provide them with reference for investment and financing decision-making and promote more sustainable and healthy development of infrastructure REITs in developing countries.
APPLICATIONS OF NON-TRADITIONAL EARNED VALUE MANAGEMENT MODELS IN PROJECT ANALYTICS
Authors: C. Capone; Y. S. Akhlassov; O. S. Ibrayev
Year: 2024

Effective management of financial resources in projects is crucial for project success. Often, difficulties with financial resources, such as budget overruns, lead to unfavorable consequences that directly impact the successful completion of the project, the quality of the outcome, and stakeholder satisfaction. Therefore, identifying and developing tools for the effective management of financial resources, is of paramount importance. The purpose of this study is to apply non-traditional earned value management (EVM) models based on machine learning to predict project costs. To achieve the research objectives, previous literature on the topic was analyzed, a dataset of past projects was prepared, and a machine learning model was applied. The study found that non-traditional models, such as the regression algorithm AdaBoost, produced results close to the actual costs. The research indicates that the developed model could become an indispensable tool for project management and business decision-making, as it demonstrates the ability to adapt to various conditions and make accurate forecasts.
Factors Influencing Human Resource Performance in Riau Prison Building Construction Projects in 2021-2022
Authors: Poniman; H. Suherman; Zuherna
Year: 2023

This study aimed to identify, analyze human resource performance factors in prison building construction projects in Riau and provide recommendations to find the dominant factors of human resource performance in building construction projects in Riau. The population in this study was the Public Works Agency (KPU), supervisory consultants, contractors that execute the building construction projects in Riau. Quantitative method was applied in this study. The data was collected through questionnaires, while data processing was carried out by SPSS (Statistical Package for the Social Sciences). The results of this study showed that there are 8 human resource performance factors, such as work ability, work environment, discipline, compensation, experience, competence, motivation, and loyalty. From data processing, 11 new factors were formed becoming the dominant factors, specifically professional and responsible factors. These can be seen in the Total Variance Explained table which show the largest percent of variance are professionalism and responsibility factors with a   percentage extraction level which is 14.518%. Of the 8 human resource performance factors, the most dominant is professionalism and responsibility with variables from loyal variables in the application of company rules, ability to comply with project management regulations, responsibility for the work carried out, able to work optimally, effectively and efficiently, and give full time, energy, and mind to the completion of work.
Risk areas in embedded software industry projects
Authors: P. Koopman
Year: 2010

A powerful way to understand where gaps are in the expertise of embedded system designers is to look at what goes wrong in real industry projects. In this paper we summarize the "red flag" issues found in approximately 90 design reviews of embedded system products conducted over a ten year period across a variety of embedded system industries. The problems found can be roughly categorized into the areas of process, requirements, architecture, design, implementation, verification/validation, dependability, project management, and people. A few problem areas, such as watchdog timers and real time scheduling, are standard embedded education topics. But many areas, such as peer reviews, requirements, SQA, and user interface design might be worthy of increased attention in texts and education programs.
Problems and ways of improving project-oriented learning in Ukraine
Authors: Molokanova Valentina M.; Hordieieva Inna O.
Year: 2023

Project-based learning is a student-centered learning process that provides opportunities to explore and combine theory and practice. This study aims to examine student responses after their participation in project-based learning and identify the skills that students have improved after completing the project-based learning process, using its 4 stages. An experimental verification of the possibilities of applying project-based learning project-based learning for students to acquire project competencies through the development and implementation of their own projects was conducted. A total of 70 students who studied at the faculties of management under the educational program "Project Management" participated in the study. The results showed a positive reaction of students to their experience of participating in project-based learning, which combines elements of theory and practice. In addition, the results of this study showed that project-oriented learning has a positive impact on the development of behavioral competencies of students and their further professional orientation. Students responded that thanks to project-based learning they have improved their thinking skills, problem-solving skills, gained a sense of self-realization, as well as teamwork skills. The work has further developed the iterative learning method by applying it to assess professional competencies in project management in different ways of learning: on personal experience, the experience of other lecturers and students, or combined learning in the first and second way. The proposed mathematical method for calculating the time for students to acquire project management competencies allows you to calculate whether a graduate, if included in a group, will have time to master the reference set of professional competencies, as those that are laid down in the educational program. The scientific novelty of the study lies in the application of project-based learning for students to acquire project competencies. The results of the study are confirmed during the experimental verification of the impact of project-based learning on students during the development and implementation of their own projects. The practical value of the study lies in helping educators to improve the quality of education. The study showed that project-based learning is an effective method for students to acquire project competencies. The article may be of interest to educational workers, scientists, and practitioners in project management.
Development and Validation of an Information Demand Pattern for a Team in Project Management
Authors: Dirk Stamer; Veronika Zeiner; K. Sandkuhl
Year: 2015

Organizations are faced today with an increasing amount of information. This information overload leads more and more to wrong decisions and has therefore economic consequences. Especially decision ...