derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Model-based project management using artificial intelligence tools
Authors: V. Makrusev; Danil S. Gusev
Year: 2024

Subject. The article addresses project management issues.
Objectives. The aim is to reveal the main directions of development of the theory and practice of model-based project management, using artificial intelligence tools.
Methods. The study rests on the methodology of systems analysis and process-oriented approach, employs methods of modeling and comparative analysis.
Results. We define the current technology of decision-making to minimize risk, describe ideas of creating a decision support system with elements of artificial intelligence, present an experiment on implementing a model of operational monitoring of risk objects at the stage of documentary customs control. The paper identifies expedient priority organizational solutions in the customs risk management system, provides proposals on the structure of the customs risk service, describes the concept of hybrid intelligence, implemented on the basis of a neural network, to be integrated in the process of collective decision-making. We present artificial intelligence technologies used in the practice of project management, disclose their advantages and disadvantages.
Conclusions. The decision-making process is described as a process of structuring the vision of strategic perspective by the head and/or experts, the formation and adaptation of knowledge to real conditions of customs construction, or as a process of project management. The paper introduces the concept and reveals the technology of collective work of experts (technology of expert-analytical modeling) during the formulation of problems and preparation of managerial, methodological, technological, and other solutions. Within the technology, a multi-valued logic of phased transformation of experts' vision into a new system of customs organization, with a step-by-step assessment of generated situational alternatives is built on the formed set of conditions.
Trends and prospects of project management in the era of artificial intelligence
Authors: Я.А. Агаповичева
Year: 2024

В статье рассматриваются ключевые тенденции и перспективы развития проектного управления в постпандемический период, обусловленные стремительным проникновением цифровых технологий во все сферы человеческой жизни. Выделяются и характеризуются ключевые изменения, произошедшие в проектном управлении в связи с пандемией COVID-19, среди которых: переход к онлайн-форматам работы, ускорение цифровизации и внедрение новых инструментов и подходов в практику управления (и многие другие). Особое внимание уделяется роли искусственного интеллекта как ключевого фактора, обеспечивающего повышение эффективности, ускорение и автоматизацию проектного управления, выступающего передовым отражением трансформации проектного управления. Поднимаются как положительные аспекты влияния искусственного интеллекта на эффективность проектного управления, так и системные вызовы, связанные с изменениями в роли человека в проектной деятельности, управлением рисками и этическими вопросами использования искусственного интеллекта. Подчеркивается актуальность и перспективность формирования ситуационных подходов к организации проектного управления с применением искусственного интеллекта, что в целом является результатом происходящих тенденций и изменений в проектном управлении в постпандемический период. Делаются выводы о возможных последствиях и перспективах проектного управления в условиях парадигмы искусственного интеллекта.
 This article examines the key trends and prospects for the development of project management in the post-pandemic period, driven by the rapid penetration of digital technologies into all spheres of human life. The article highlights and characterizes the significant changes in project management due to the COVID-19 pandemic, including the shift to online work formats, accelerated digitalization, and the adoption of new tools and approaches in management practice. Special attention is given to the role of artificial intelligence as a key factor in enhancing efficiency, accelerating processes, and automating project management, representing the forefront of project management transformation. The article discusses both the positive aspects of artificial intelligence’s impact on project management efficiency and the systemic challenges related to changes in human roles within project activities, risk management, and ethical issues of AI utilization. The relevance and prospects of developing situational approaches to project management organization using artificial intelligence are emphasized, which are the results of ongoing trends and changes in project management in the post-pandemic period. Based on the conducted research, conclusions are drawn about the possible consequences and future prospects of project management in the era of artificial intelligence.
PENGEMBANGAN MEDIA AUDIO VISUAL DALAM PEMBELAJARAN MENULIS KREATIF PUISI
Authors: Sofyan -; Mujiyono Wiryotinoyo; Sudaryono -
Year: 2011

This article is based on a developmental research which is aimed at constructing audio-visual media to assist poetry writing instruction. The media is developed by using the contextual approach. The Model Development employs the model of Alessi and Trollipâ€™s (2001) which is emphasized on three main pillars of development: determining activity standards, project management, and ongoing evaluation. These three main pillars of model development then implemented in further three steps of planning, design, and development. Based on the data analysis of the development process, expertsâ€™ validation, and field trials of the product, it can be concluded that the quality of the audio visual media is good in assisting creative writing process. Therefore, it is suggested that the media can be used as a media in teaching creative poetry writing for senior high school students. Keywords: audio visual media, creative writing, poetry writing, teaching model development
New insights about community benefit evaluation: Using the Community Health Implementation Evaluation Framework to assess what hospitals are measuring
Authors: Ashlyn Burns; Valerie A Yeager; J. Vest; Christopher A. Harle; Emilie R. Madsen; Cory E. Cronin; Simone Singh; Berkeley Franz
Year: 2024

Background Nonprofit hospitals are required to conduct community health needs assessments (CHNA) every 3 years and develop corresponding implementation plans. Implemented strategies must address the identified community needs and be evaluated for impact. Purpose Using the Community Health Implementation Evaluation Framework (CHIEF), we assessed whether and how nonprofit hospitals are evaluating the impact of their CHNA-informed community benefit initiatives. Methodology We conducted a content analysis of 83 hospital CHNAs that reported evaluation outcomes drawn from a previously identified 20% random sample (n = 613) of nonprofit hospitals in the United States. Through qualitative review guided by the CHIEF, we identified and categorized the most common evaluation outcomes reported. Results A total of 485 strategies were identified from the 83 hospitals’ CHNAs. Evaluated strategies most frequently targeted behavioral health (n = 124, 26%), access (n = 83, 17%), and obesity/nutrition/inactivity (n = 68, 14%). The most common type of evaluation outcomes reported by CHIEF category included system utilization (n = 342, 71%), system implementation (n = 170, 35%), project management (n = 164, 34%), and social outcomes (n = 163, 34%). Practice Implications CHNA evaluation strategies focus on utilization (the number of individuals served), with few focusing on social or health outcomes. This represents a missed opportunity to (a) assess the social and health impacts across individual strategies and (b) provide insight that can be used to inform the allocation of limited resources to maximize the impact of community benefit strategies.
A Six Sigma Framework for Software Process Improvements and its Implementation
Authors: Zhedan Pan; Hyuncheol Park; Jongmoon Baik; Ho‐Jin Choi
Year: 2007

Six Sigma has been adopted by many software development organizations to identify problems in software projects and processes, find optimal solutions for the identified problems, and quantitatively improve the development processes so as to achieve organizations' business goals. A Six Sigma framework for software process improvements is needed to provide a standard process and analysis tools for Six Sigma project executions, and also provide a platform for collaborations with other process improvement approaches, such as PSP/TSP and CMM/CMMI. However, few frameworks have been proposed to support Six Sigma project executions. Most of Six Sigma projects for software process improvements have been performed in an ad-hoc way. In this paper, we propose a framework to support Six Sigma projects for continuous process improvements for software developments. Based on this framework, we implemented a web-based tool, called SSPMT integrated with a software project management tool and a PSP supporting tool. The suggested framework and SSPMT is beneficial in initiating and executing Six Sigma projects, facilitating data collection and data analyses by Six Sigma toolkits, and standardizing the Six Sigma project execution process so as to achieve Six Sigma project goals and of organizations' business goals.
Evaluation of Analytic Projects in the Context of Higher Education
Authors: I. Guitart; J. Conesa
Year: 2016

Higher Education environment is moving to a data-oriented philosophy, as it has happened in general in other contexts, transforming the society in general and popularizing the term analytics. The motivation factor is the paradigm shift that is being experimented in the higher education context, with a high increment of the competition at international level and with the irruption of new kinds of teaching, such as the massive adoption of eLearning and the Massive Online Open Courses (MOOC). Due to this conversion, higher education organizations are investing gargantuan quantities of money and resources to develop and implant analytic systems. Most of these analytic systems are unsuccessful either because they deviate from the initial planning or do not solve the proposed analytic problem. A similar situation happened before in the enterprise context, where the analytical orientation was adopted previously. In this paper we propose to adapt the experience and maturity of the enterprise environment in the specification, development and implantation of analytic systems in order to define a project management roadmap adapted to the university environment. The proposed roadmap take into account lessons learnt in order to provide guides that allow defining, conducting and closing projects to develop and implant analytic systems systematically and increase the potential success of the project. The roadmap gives support to: 1) defining the analytic project, by evaluating whether the university is ready to develop and use an analytic system and whether the analytic problem is real and relevant for the university, 2) conducting the development of the analytic system, by providing a set of critical success factors to take into account and indicators to use to monitor the development activity, and 3) implanting and validating the analytic system, by following strategies for a successful implantation of the system, a successful adoption of the system for its potential users and a validation of its impact and utility in the university.
Project Management and Scheduling through National Project Management Phases in Government Construction Agencies
Authors: J. Larsen; T. Brunø; S. Lindhard; Kim Noergaard Jensen
Year: 2017

Effective project coordination and management of time and cost scheduling in public funded construction projects receive a considerable focus from academics, politicians, and the construction industry itself with opposing points of view. The study objective is therefore to investigate the process of time and cost scheduling during the different project stages, and their relationships between critical factors affecting project schedules. Applied data collection was based on semi-structured interviews and a questionnaire survey with publicly agency employed project managers and property managers. A multiple research approach was thus utilized to mix the two dataset. Findings demonstrate that project complications in the execution stage is associated to lack of project requirements and design with too optimistic project deadline and budget from the initial project stages. Moreover, a relationship was found between the presence of experienced consultants and the achievement of project success throughout the project phases as particular vital.
Factors that Influence the Selection of a Data Science Process Management Methodology: An Exploratory Study
Authors: J. Saltz; Nicholas Hotz
Year: 2021

This paper explores the factors that impact the adoption of a process methodology for managing and coordinating data science projects. Specifically, by conducting semi-structured interviews from data scientists and managers across 14 organizations, eight factors were identified that influence the adoption of a data science project management methodology. Two were technical factors (Exploratory Data Analysis, Data Collection and Cleaning). Three were organizational factors (Receptiveness to Methodology, Team Size, Knowledge and Experience), and three were environmental factors (Business Requirements Clarity, Documentation Requirements, Release Cadence Expectations). The research presented in this paper extends recognized factors for IT process adoption by bringing together influential factors that apply to data science. Teams can use the developed process adoption model to make a more informed decision when selecting their data science project management process methodology.
Gestión de Costos en los Proyectos de Inversión Pública en la Municipalidad Distrital de Nazarenos – Ayacucho, 2019
Authors: Heber Jorge Valenzuela
Year: 2023

El propósito de este proyecto investigativo es conocer y analizar con eficacia, la calidad en la gestión de los costos en los proyectos de inversión pública de la Municipalidad Distrital de Jesús Nazarenos, departamento de Ayacucho, en el periodo 2019.Para poder realizar una correcta gestión de costos empleando el uso de las mejores prácticas, se tomaron en consideración los lineamientos propuestos por la (Guía del Project Management Institute, 2018), donde la gestión de costos de un proyecto incluye los procesos involucrados en estimar, presupuestar y controlar los costos de modo que se complete el proyecto dentro del presupuesto aprobado ; la cual es fundamental para el desarrollo de la población generando el mayor impacto socioeconómicos. En la investigación se hicieron preguntas referidas a los procesos involucrados en estimar, presupuestar y controlar los costos, para saber si en la entidad se aplica la gestión de los costos como lo propone la (Guía del Project Management Institute, 2018).
Stakeholder Concern-Driven Requirements Analytics
Authors: Ibtehal Noorwali
Year: 2018

The requirements engineering (RE) process and resultant requirements usually inform and interact with downstream (e.g., design and testing) and side-stream (e.g., project management, quality management) processes in various ways. Each of these processes involves numerous internal stakeholders (e.g., managers, developers, architects, etc.) who, in turn, have different concerns with regard to the impact of requirements on their respective processes. In other words, the various stakeholders need different types of requirements information and measurements in order for them to manage, control, and track their respective process activities (e.g., design traceability information for architects, requirements progress for project managers, etc.). The burden of providing this information usually falls within the realm of the requirements management process. However, due to the lack of identified metrics and analytical methods, the process of providing the various stakeholders with the information that addresses their various concerns becomes cumbersome. This is further complicated by large project sizes, numerous stakeholders, time pressure, large numbers of requirements, other software artifacts, and others. This proposal aims to address this problem by proposing to provide stakeholders with concern-driven requirements analytics that will address their various concerns. We intend to achieve this through identifying metrics and analytical methods that can be readily used in the requirements management process. We further propose to provide the stakeholder with a dashboard that allows them to choose from the various requirements analytics options along with visualization techniques that would best visualize the data and address their concerns.
Al‐Shifa Healthcare Information System in Oman: A Debatable Implementation Success
Authors: Khamis Al-Gharbi; S. Gattoufi; A. Al-Badi; Ali A. Al-Hashmi
Year: 2015

This paper presents a case study of the project management of Al‐Shifa healthcare information system (HIS) in Oman. In addition to the reports about the project made available to the researchers, the focus group methodology was used for collecting the relevant information from the main project's stakeholders. The paper describes first the evolution of the implementation of an HIS tailored by the Ministry of Health (MOH) in Oman to fit the needs of the healthcare units under its supervision. The case analysis that constitutes the second element in the paper is made based on the Project Management approach developed by the Project Management Institute (PMI). As a matter of fact, the authors found that there was no formal project management approach adopted by the MOH for the development and implementation of the hereto‐mentioned HIS project. Moreover, the project has experienced a chronic creep in terms of features, cost and time‐schedule. The recommendations of the authors for the rescue of the project from its current dilemma, consist of technological, administrative and human resource development actions.
Introducing an integrated care pathway for the last days of life
Authors: S. Mirando; P. Davies; A. Lipp
Year: 2005

Integrated care pathways (ICPs) are multiprofessional documents designed to enable the implementation of evidence-based care and support the practical delivery of clinical governance. However, the implementation of care pathways is resource intensive and few evaluations have been conducted with respect to these areas or to the efficacy of care pathways to change practice and improve outcomes in care. This project sought to address these issues and the report outlines the approach taken by a palliative care team in South Wales, UK, to implement a care pathway for the dying throughout a district general hospital and six community hospitals. Dying can be a complex area of care and changing practice can be challenging, therefore a PRINCE Project management approach was taken and a full-time project nurse employed for the life of the project. This paper describes the strategies used to approach implementing a care pathway and provides a template for other teams who may embark on similar projects. At the end of the project, the care pathway was successfully implemented and provided demonstrable outcomes of care for those dying from cancer and nonmalignant diseases. Strikingly, a large number of patients dying from nonmalignant disease were cared for via the pathway, which was not expected.
Success of enterprise wiki systems
Authors: Z. Bhatti; Serge Baile; H. Yasin
Year: 2013

With the ever increasing use of Web 2.0 sites on internet, they are now being employed by organisations across the globe. One of the most widely used Web 2.0 tools in organisations is wiki technology, particularly in project management. It is important for organisations to measure the success of their wiki system implementation. So we propose an extension in DeLone and McLean's 2003 model by incorporating contextual factors with respect to wiki technology in a project management task to evaluate enterprise wiki systems. The study aims to help enterprises better understand how they can use the wikis having an effect on end-user performance. The proposed model will also be helpful for companies engaged in wiki development businesses, by aligning product improvements with end-user expectations and perceptions.
Snowball Effects on Risk Mitigation Scheduling: Process and Tool
Authors: Hareton K. N. Leung; K. Lui; Peng Zhou
Year: 2014

Risk management is widely accepted as a routine activity in software project management. Many project risks are often complex and intertwined. Once some risks are materialized, they spawn active issues which can cause some other risks to occur. Moreover, these risks will have stronger impact than they could happen alone. Such snowball effect has been well known in risk management; however, few studies have addressed their impacts to risk mitigation plan. This paper will apply the autoregressive model to estimate the snowball effect on six risk mitigation strategies. Keywords-Scheduling strategy, Risk mitigation, Time element, Risk management, Software project management
Software cinema: stories from the lab
Authors: M. Purvis; Andrew L. S. Long
Year: 2009

Film is a useful medium for conveying narratives inherent in user scenarios; not only in the physical world as users complete activities but also in envisioning how software might support these activities. Film allows for dynamic rendering of events, interactions, and objects situated in the domain of their use. This provides the necessary context in which to fully realise how the products of software engineering can better meet their user requirements. This paper and video presents work done in an undergraduate software engineering project management course to evaluate this potential.
Applying the Fuzzy PERT Method in Project Management: A Real-Life Case Study
Authors: Emre Kenar; M. İpek; Muharrem Dügenci; Ömer Abdulaziz Korkmaz
Year: 2023

Time is the most precious resource for any business simply because no one can bring time back. Therefore, there is a huge need to be able to control time accurately. Also, the competitiveness between companies increased the value of time. Many investments were allocated to build methodologies that help to use time effectively. Because it became a fact that the speed of work accomplishment is the main factor for being a considerable competitor. Planning for future projects usually relays on non-fixed but mostly expected data. It is more reliable to use fuzzy methods for this situation. In this study, Fuzzy PERT (FPERT) was used as a project management technique to plan the construction of a marble factory from the establishment phase to the plan of the machines that will be used later on. FPERT showed more realistic results than any classical method would. Out of 16 routes, the final result of the completion time was (90.9,122.1,151.9) days which was determined after triangular fuzzy numbers for the activity times in the entire project. This article aims to prove the efficiency of fuzzy methodologies especially FPERT to be conducted in future planned projects through this real-life case study.