derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Systematic Review on the Use of Serious Games in Project Management Education
Authors: M. Hellström; D. Jaccard; Knut Erik Bonnier
Year: 2023

Project management education is well suited for active learning through serious games, and a lot of research has been published on the use of serious games for project management education. Earlier reviews have focused on the content and features of project management serious games. The objectives for using those serious games have been less reviewed. The aim of this study was to conduct a systematic review to better understand the objectives of using serious games in project management education, with the following research question: Why are project management serious games used in higher education? A systematic review was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A systematic search enabled us to identify 175 articles, of which forty-three met the eligibility criteria. An inductive content analysis of those articles showed that project management serious games are used mainly for pedagogical and practical reasons. From a pedagogical perspective, serious games are mainly used to develop specific skills that are difficult to acquire in classic ex cathedra lectures, such as practical competencies and soft skills. From a practical perspective, serious games are mainly used for proposing a risk-free trial environment. Based on our analysis, we propose a taxonomy of reasons for using PM games in higher education. Our study also reveals that few studies assess whether serious games meet all their objectives, and that more research is needed on how to implement them into a coherent pedagogical scenario.
ANALYSIS OF THE INTERACTION OF PROJECT MANAGEMENT ENTITIES IN THE STATE FINANCIAL CONTROL BODIES
Authors: Denis D. Ovcharenko
Year: 2024

The subject of the study is the interaction of project management entities in state fi-nancial control bodies. The article analyzes the application of flexible project management methods in the public sector. Theoretical studies on the implementation of project management in government agencies have been studied. An expert survey of employees of the state financial control bodies using the Agile methodology when creating IT projects was conducted. As a hypothesis of the expert survey, the thesis was put forward that government officials do not have a broad understanding of flexible management methods. As a result of the analysis, it was concluded that the key problems of their implementation are associated with strict regulatory regulation of the activities of state bodies, which limits the freedom of creativity in the management environment, and this is the key condition for the application of flexible approaches. For the widespread use of flexible approaches, it is necessary to amend a number of existing legal acts regulating the procedure for conducting public procurement and evaluating the activities of federal executive authorities.
Tackling disinvestment in health care services. The views of resource allocators in the English NHS.
Authors: T. Daniels; Iestyn Williams; Suzanne Robinson; Katie Spence
Year: 2013

PURPOSE
The aims of this paper are to explore the experiences of budget holders within the English National Health Service (NHS), in their attempts to implement programmes of disinvestment, and to consider factors which influence the success (or otherwise) of this activity.


DESIGN/METHODOLOGY/APPROACH
Between 24 January and 15 March 2011 semi-structured, telephone interviews were conducted with representatives of 12 Primary Care Trusts in England. Interviews focussed on: understanding of the term "disinvestment"; current activities, and perceived determinants of successful disinvestment decision making and implementation. Data were organised into themes according to standard qualitative data coding practices.


FINDINGS
Findings indicate that experiences of disinvestment are varied and that organisations are currently adopting a range of approaches. There are a number of apparently influential determinants of disinvestment which relate to both health system features and organisational characteristics. According to the experiences of the interviewees, many of the easier disinvestment options have now been taken and more ambitious plans, which require wider engagement and more thorough project management, will be required in the future.


RESEARCH LIMITATIONS/IMPLICATIONS
Findings from the research suggest that issues around understanding and usage of disinvestment terminology should be addressed and that a more in-depth and ethnographic research agenda will be of most value in moving forward both the theory and practice of disinvestment.


ORIGINALITY/VALUE
This research suggests that, in the English NHS at least, there is a disjuncture between common usage of the term "disinvestment" and the way that it has previously been understood by the wider research community. In addition to this, the research also highlights a broader range of potential determinants of disinvestment than are considered in the extant literature.
Recent Advances in Software Reliability Assurance
Authors: Rashid Mijumbi; K. Okumoto; A. Asthana; J. Meekel
Year: 2018

Achieving true service agility requires development teams to be able to continuously integrate and deliver software every few weeks. This requires capabilities for test automation, modelling and prediction of software reliability. In this paper, we report on our recent experiences applying a simple and novel curve shifting technique to software defect prediction for a continuous integration, continuous delivery project. The technique transforms the defect arrival curve from a given previous release using the user story (or feature)1 development plan so as to predict defect arrival for the required release. We also discuss the different views on software defects from a quality vis-a-vis project management perspective and how the proposed technique applies to either.
Learning Project Management Decisions: A Case Study with Case-Based Reasoning versus Data Farming
Authors: T. Menzies; Adam Brady; J. Keung; J. Hihn; Steve Williams; Oussama El-Rawas; Phillip Green; B. Boehm
Year: 2013

Background: Given information on just a few prior projects, how do we learn the best and fewest changes for current projects? Aim: To conduct a case study comparing two ways to recommend project changes. 1) Data farmers use Monte Carlo sampling to survey and summarize the space of possible outcomes. 2) Case-based reasoners (CBR) explore the neighborhood around test instances. Method: We applied a state-of-the data farmer (SEESAW) and a CBR tool ()'V2) to software project data. Results: CBR with )'V2 was more effective than SEESAW's data farming for learning best and recommended project changes, effectively reducing runtime, effort, and defects. Further, CBR with )'V2 was comparably easier to build, maintain, and apply in novel domains, especially on noisy data sets. Conclusion: Use CBR tools like )'V2 when data are scarce or noisy or when project data cannot be expressed in the required form of a data farmer. Future Work: This study applied our own CBR tool to several small data sets. Future work could apply other CBR tools and data farmers to other data (perhaps to explore other goals such as, say, minimizing maintenance effort).
Avaliação de desempenho organizacional no Departamento de Ciência e Tecnologia Aeroespacial
Authors: Alan Elvis de Lima
Year: 2010

This paper aims to analyze the maturity stage in organizations of Departamento de Ciência e Tecnologia Aeroespacial (DCTA) for the implementation of performance indicators in their management processes. Due the unavailability of suitable tool for the proposed objectives, the research led to the development of a maturity model composed of five dimensions related to the concepts of performance evaluation: knowledge, training, attitude, evaluation and strategic alignment. Model construction and analysis of data is based on the theoretical frameworks related to Strategic Management (AD), the system of performance measurement Balanced Scorecard (BSC) and the model of maturity in project management. To achieve the objectives, the study was based on the results of a questionnaire administered to three organizations from DCTA. The results reveal the existence of different degrees of maturity in the organizations surveyed, indicating the need for specific actions from DCTA in the implementation of methodologies for strategic control.
Managing Globally Distributed Software Development Projects using Virtual Teams: A Middle East Case Study
Authors: Nelson Denhere; Tertia Hörne; J. A. V. D. Poll
Year: 2015

This paper examines how globally distributed software development projects are managed in the Middle East. We outline the factors that were perceived as important by project managers. We also consider how culture and religion affects the operation of virtual teams in a globally distributed software development environment in the Middle East. To understand how these factors influence the success of globally distributed software development projects in the Middle East, we conducted a qualitative research study involving three different companies operating in Dubai, Oman, Abu Dhabi, India and Pakistan. The study indicates that cultural awareness, the use of technology, use of a common language and applying project management techniques positively influence the operation of virtual teams.
Global IT Project Management Using Web 2.0
Authors: B. Gholami; S. Murugesan
Year: 2011

For many businesses, managing globally distributed IT projects effectively is key to success in today's competitive environment. However, IT projects and their managements are notorious for failures, and managing globally distributed teams poses unique additional challenges. While the Internet, email and the Web have been major means of communication among such teams, new Web 2.0 technologies and applications which have emerged into prominence in the last few years present new opportunities for successfully managing global projects. This paper presents the authors' findings on awareness and level of use of Web 2.0 tools for project management among global teams. It also offers recommendations on how managers of global IT projects can manage their teams more efficiently and effectively using Web 2.0 tools.
Software development as a design or a production project: An empirical study of project monitoring and control
Authors: T. McBride; B. Henderson-Sellers; Didar Zowghi
Year: 2007

Purpose – The paper seeks to investigate whether project managers regard software development projects as design problems or production problems.Design/methodology/approach – Project management literature was examined to determine what evidence there should be to indicate whether a software development project was regarded as a problem to be solved or a product to be produced. Data were then collected through structured interview of project managers currently engaged in managing software development projects. The data were analysed to determine how project managers regarded their projects and whether this matched a theoretical expectation.Findings – The empirical data indicated that most project managers regard their projects as production problems, where it is assumed that the underlying problem is largely understood, the project encapsulated in a planned schedule of activities and there will be an emphasis on monitoring the project against the planned progress.Research limitations/implications – Owing t...
The Maple ® Symbolic Mathematics System in the Method of Projections for Discrete Optimization Problems
Authors: S. Chernov; S. Titov; L. Chernova; N. Kunanets
Year: 2019

Successful project activities in the IT industry are determined by the extent of difficulty in the team formation and implementation of projects themselves. IT projects provide for fulfillment of a number of tasks that are interrelated. In formation of such a project, account should be taken of certain factors necessary for its successful implementation, determination of the technology for fulfilling intermediate tasks: consecutive or parallel, and for setting the priorities. This approach requires detailed calculation and scientifically grounded decisions. The authors have proposed an original approach to solving discrete optimization problems related to fundamental calculation difficulties in the process of an IT project formation. The known methods of exact or approximate solution of such problems are studied with account taken of their belonging to so-called Pand NP-class problems (the polynomial and the exponential solution algorithms). The modern combinatory and heuristic methods for solving practical discrete optimization problems require development of algorithms that allow obtaining approximate solution with guaranteed estimate of deviation from the optimum. Simplification algorithms provide an efficient method of searching for an optimization problem solution. Should a multidimensional process be projected onto the twodimensional surface, this will enable graphical visualization of sets of the problem solutions. This research provides a way for simplifying the combinatory solution of a discrete optimization problem. It is based on decomposition of the system that represents the system constraining a multidimensional output problem to the two-dimensional coordinate plane. Such method allows obtaining a simple system of graphical solutions of a complicated linear discrete optimization problem. From the practical point of view, the proposed method allows reducing the calculation complicacy of optimization problems belonging to this class when the IT project solutions are complicated. The approach proposed can be applied in using the obtained research result for assuring the possibility to improve the class of problems presented by linear equation systems. The automation of calculations in the Maple environment provides the basis for further development and improvement of such algorithms, and for using in teaching a number of disciplines in education programs on IT project management aimed at Master’s degree.
Research on Engineering Project Management Method Based on BIM Technology
Authors: Xing-jing Du
Year: 2021

Construction projects require a significant amount of money and other resources in order to carry them out in an effective way. Cost control is a critical step in ensuring the success of the project and increasing its value. Nowadays, the large-scale application of BIM technology has ushered a technical change in the development of construction projects, which has greatly increased the level and efficiency of project management. Due to BIM technology, the construction engineering quality is significantly improved which really helped in obtaining the social and economic benefits. However, the BIM technology in our country is started relatively late and the technical force is not strong enough; then correspondingly, we must deal with many problems in the process of developing and using BIM technology based projects. In view of the fact and to address this issue, this paper establishes a three-dimensional architectural model based on the relevant information and data of the construction project using the BIM technology. The proposed model optimizes the clustering of construction project information data and adaptively configures the whole life cycle process of the construction projects. In addition, the performance of the proposed system has been compared and tested with the other systems as well which shows how good the proposed system is, as compared to the other systems. Further, the proposed model makes the artificial intelligence efficiency of the project management better. The simulation results show that the model not only has good access and query capabilities but also greatly improves the intelligence level of the project management.
Global bioanalytical support.
Authors: Zhong-Ping John Lin; T. Zhang; Stephanie Pasas-Farmer; S. D. Brooks; M. Moyer; R. Connolly
Year: 2014

With the globalization of drug development, there is an increasing need for global bioanalytical support. Bioanalysis provides pivotal data for toxicokinetic, pharmacokinetic, bioavailability and bioequivalence studies used for regional or global regulatory submission. There are many known complications in building a truly global bioanalytical operation, ranging from lack of global regulatory guidelines and global standard operating procedures to barriers in regional requirements on sample shipping, importation and exportation. The primary objective of this article is to discuss common experiences and challenges facing the biopharmaceutical industry when providing bioanalytical support in a global setting. The key components of global bioanalytical services include the supporting infrastructure, spanning project management, IT support of data management, best practices in bioanalytical method transfer and sample analysis, and comprehensive knowledge of the requirements of bioanalysis guidelines and differences in these guidelines. A case study will highlight best practices for successful management of a global project.
Municipal and Urban Renewal Development Index System: A Data-Driven Digital Analysis Framework
Authors: Xi Wang; Xuecao Li; Tinghai Wu; Shenjing He; Yuxin Zhang; Xianyao Ling; Bin Chen; Lanchun Bian; Xiaodong Shi; Ruoxi Zhang; Jie Wang; Li Zheng; Jun Li; Peng Gong
Year: 2024

Urban renewal planning and development are vital for enhancing the living quality of city residents. However, such improvement activities are often expensive, time-consuming, and in need of standardization. The convergence of remote sensing technologies, social big data, and artificial intelligence solutions has created unprecedented opportunities for comprehensive digital planning and analysis in urban renewal development and management. However, fast interdisciplinary development imposes some challenges because the data collected and the solutions built are defined piece by piece and require further fusion and integration of knowledge, evaluation standards, systematic analyses, and new methodologies. To address these challenges, we propose a municipal and urban renewal development index (MUDI) system with data modeling and mathematical analysis models. The MUDI system is applied and studied in three circumstances: (1) at regional level, 337 cities are selected in China to demonstrate the MUDI system’s comparable analysis capabilities on a large scale across cities; (2) at city level, 285 residential communities are selected in Xiamen to demonstrate the use of remote sensing data as key MUDIs for a temporal urban land change analysis; and (3) at the level of residential neighborhoods’ urban renewal practices, Xiamen’s Yingping District is selected to demonstrate the MUDI system’s project management capabilities. We find that the MUDI system is highly effective in municipal and urban data model building through the abstraction and summation of grid-based satellite and social big data. Secondly, the MUDI system enables comprehension of the high dimensionality and complexity of multisource datasets for municipal and urban renewal development. Thirdly, the system is applied to enable the use of the newly developed UMAP algorithm, a model based on Riemannian geometry and algebraic topology, and the carrying out of a principal component analysis for the key dimensions and an index correlation analysis. Fourthly, various artificial intelligence-driven algorithms can be developed for urban renewal analyses based on the MUDIs. The MUDI system is a new and effective method for urban renewal planning and management that can be flexibly extended and applied to various cities and urban districts.
Surgery and Research: A Practical Approach to Managing the Research Process
Authors: Peter R. Swiatek; K. Chung; E. Mahmoudi
Year: 2016

Summary: Following a practical project management method is essential in completing a research project on time and within budget. Although this concept is well developed in the business world, it has yet to be explored in academic surgical research. Defining and adhering to a suitable workflow would increase portability, reusability, and therefore efficiency of the research process. In this article, the authors briefly review project management techniques. The authors specifically underline four main steps of project management—definition and organization, planning, execution, and evaluation—using practical examples from their own multidisciplinary plastic surgery research team.
Segmenting the customers of system delivery projects based on data heterogeneity
Authors: M. Haverila; Kai C. Haverila; Caitlin McLaughlin
Year: 2023


Purpose
This paper aims to examine project management segments based on customer satisfaction drivers and loyalty rather than traditional demographic or behavioural variables.


Design/methodology/approach
Data were gathered over 18 consecutive months, and 3,129 surveys were completed using a questionnaire. The statistical methods included partial least squares (PLS) structural equation modelling, finite mixture segmentation, prediction-oriented segmentation (PLS-POS) and multi-group analysis (PLS-MGA).


Findings
The findings indicate the existence of three segments among system delivery project customers based on the differences in the strengths of the path coefficients in the customer-centric structural model. In Segment 1, satisfaction based on the proposal was crucial for loyalty, with the value-for-money construct negatively impacting the repurchase intent construct. Segment 2 had a solid value-for-money orientation. In Segment 3, the critical path indicated that satisfaction drove repurchase intention, with satisfaction based mainly on the installation.


Originality/value
The research contributes to the segmentation theory by introducing a new way to segment the systems delivery projects customers based on the perceived strength of the relationships in a customer-centric structural model, which aligns with traditional segmentation theory in a way that most segmentation analyses do not. A new segmentation approach to the domain of project management theory is presented. Based on the results, treating the system delivery project customer base as a single homogenous group can lead to managerially misleading conclusions.