derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Situational Management and Digital Situational Awareness Systems in Infrastructure Construction: Managerial Perspectives on Relevance, Challenges, and Adoption
Authors: Eelon Lappalainen; P. Uusitalo; O. Seppänen; A. Peltokorpi; Ana Reinbold; Antti Ainamo; Christopher Görsch; R. Nyqvist
Year: 2024

Currently, digital situational awareness systems are popular in complex infrastructure construction projects. These systems monitor and assess environmental events, progress, resource availability, risks, and other project decision-making variables to support decision-making. However, little is known about how infrastructure construction (IC) professionals who utilize situational awareness systems perceive how they support or hinder situational management. The purpose of this exploratory research is to study, in depth, the relevance, challenges, and adoption of situational management in IC projects using digital systems. The data were collected via semistructured interviews with 21 IC managers and situational awareness management experts from 11 companies involved in railway projects. The main findings indicate that problem-solving improved with situational management in general, especially with digital situational awareness systems. Seizing the possibilities for transparency that accompany digital situational awareness systems helped in discussing emerging problems and making project choices. Expectations about the realism of such expectations were easier to align with historical event data. On the other hand, the informants reported difficulty in motivating contractors to collect situational data in digital form, possibly because of a lack of understanding about the purpose of data collection, the manual nature of data collection, the perceived excessiveness of data collection, or the manual transfer of collected data into digital form. For these reasons, the informants reported limited faith in these systems. A perceived drawback of situational management, whether supported by digital situational awareness systems or not, was its lack of applicability to the realities of a construction site. Systems were designed for project management needs but not tailored to the needs of construction projects. The interviewees’ statements indicate that maintaining situational awareness requires active interaction and constant checking of the provided information, even requiring pressure on the contractors providing the information. This study highlights the need for practical human approaches to effectively use digital situational awareness technologies and situational management in IC.
An Integrated Multi-Agent-Based Simulation Approach to Support Software Project Management
Authors: D. Baia
Year: 2015

Software projects often do not accomplish what is expected. They fail to comply with the planned schedule, cost more than predicted, or are simply not completed at all owing to issues such as bad planning, a poorly chosen team or an incorrect definition of the tasks to be performed. Although simulation methods and tools have been introduced to alleviate these problems, there is a lack of simulation approaches that integrate software project knowledge, software development processes, project-related situation-awareness, and learning techniques to help project managers to make more informed decisions and hence reach successful conclusions with software projects. In addition, in order to be more proactive, such approaches need to provide simulations based on both static and dynamic situation-awareness data, support (self-)adaptive project planning and execution, and recommend remedial courses of action when real-time project anomalies occur. In this context, this PhD research aims to create an integrated multi-agent-based simulation to support software project management in a more comprehensive way.
CSC: Criticality-Sensitive Coordination
Authors: Pedro A. Szekely; M. Becker; S. Fitzpatrick; Gergely Gati; Dávid Hanák; Jing Jin; G. Karsai; R. Maheswaran; R. Neches; C. Rogers; Romeo Sanchez; C. V. Buskirk
Year: 2006

Our Criticality-Sensitive Coordination (CSC) agents are designed to enhance the performance of a human-team working together in uncertain and dynamic settings by monitoring and adapting their plans as dictated by the evolution of the environment. Such situations model military scenarios such as a coordinated joint operations or enterprise settings such as multiple-project management. Among the many challenges in these situations are the large space of possible states due to uncertainty, the distributed / partial knowledge of current state and plan among the agents and the need to react in a timely manner to events that may not be in the original model. In fact, reaction alone is often insufficient as in environments where success depends on completing sequences of coupled actions, one needs to anticipate future difficulties and enable contingencies to alleviate potential hazards.
OS 26-03 MOBILE DEVICE BASED ELECTRONIC DATA CAPTURE SYSTEM IN PHARMACEUTICAL CLINICAL TRIAL: A FEASIBILITY STUDY.
Authors: Jing Zhang; Lei Sun; Yu Liu; Hongyi Wang; N. Sun; Jia Yu; Yao He; Sijin Yan; Puhong Zhang
Year: 2016

OBJECTIVE
To evaluate the feasibility and acceptability of a mobile device based electronical data capture (mEDC) system applied in one randomized clinical trial (RCT).


DESIGN AND METHOD
The mEDC, an android smartphone-based application, was developed to support real-time data capture, project management and quality control in a multicenter randomized double-blinded parallel controlled pharmaceutical trial. Four user interfaces are shown in Figure 1. The RCT is to evaluate the efficacy of telmisartan (40mg) and hydrochlorothiazide (25mg) monotherapy in high sodium intake patients with mild to moderate hypertension in 14 hospitals, including one baseline survey and three follow-ups. A designated qualitative study was conducted to evaluate its feasibility and acceptability during implementation of project. Fifteen investigators, including fourteen doctors and one nurse in local hospitals, two clinical research associates (CRA) and one senior data manager were interviewed by personal depth, face-to-face interview. Nvivo 9.0 was applied to analyze the records and theme framework method was used to obtain outcomes.


RESULTS
With support of mEDC, 1333 patients were recruited, and 1037 patients of them successfully completed all visits during 2 months. The average time was needed around 53 minutes for 141 questions of all visits per patient. Nearly all the interviewees were satisfied with the features of smooth manipulation, user-friendly interface, real-time data transfer, procedure control, patient screening, central randomization, blinded drug allocation, visit organization, automatic data check and real-time remote monitoring. The average satisfaction score was 9.2 (10 as full mark). All the investigators and CRAs expressed their expectation of using the app again in the future. The senior data manager evaluated the mEDC and found it safe in data transferring and storage. Very rare occasion of unstable wireless internet access was complained by investigators.


CONCLUSIONS
mEDC was a feasible and acceptable tool to support RCT. High quality research may benefit from mEDC's real-time and multi-user features.(Figure is included in full-text article.).
The Interplay of Institutional Logics in it Public-Private Partnerships
Authors: R. Beck; R. Gregory; Oliver Marschollek
Year: 2015

Public-private partnerships (PPPs) offer a popular means by which the public sector can obtain infor-mation technology (IT) innovations and management know-how from private firms. However, these IT PPPs are extremely difficult to realize, especially considering the divergent interests of public- and private-side stake-holders. Our case study of an IT PPP reveals public- and private-side differences that initially impeded the establishment of a partnership; using institutional logics theory as meta-theoretical lens, we propose a model that explains how public and private parties managed to negotiate their mode of collaboration by balancing their competing institutional norms and practices which ultimately resulted in the convergence of the two divergent logics. Our paper contributes to theory and practice by (1) elucidating the theoretical foundations and role of institutional logics for IT project management that we found dominated by public and private norms and practices, (2) explaining why collaboration in IT PPPs is so diffi-cult, and (3) how eventually an IT PPP can be estab-lished. We discuss theoretical and practical implica-tions in the paper.
A Hybrid Model for Managing DH Projects
Authors: E. Tabak
Year: 2017

A project is a basic unit of digital humanities (DH) scholarship, which suggests that DH as a discipline should pay more attention to project management, and perhaps to develop the project management models, principles, and methods that are more specific to the discipline. However, DH literature deals with this issue merely by listing the basic principles, or offering specific “tips and tricks,” which seriously simplifies management of DH projects. DH projects involve building (or at least using) digital tools, which brings the complex tensions between digital and humanistic aspects of these projects. In order to address such a complexity, there is a need for a model for managing DH projects that will learn from information studies and methods in software development, while still being based on values of the humanistic tradition and methods. This article combines a model of scholarly information practices with some concepts of agile software development into a hybrid model for managing DH projects.
Impact of Big Data Analytics on Project Success Rates: A Comparative Study of Traditional Versus Data-Driven Project Planning
Authors: Muhammad Sajid; Farooq Shah; Abid Ahmad
Year: 2024

Big Data Analytics (BDA) has emerged as a critical enabler of project management practices enabling quick decision-making and improvement of projects’ performance. This study aims to examine the effects of Big Data Analytics (BDA) on arrayed aspects of project success such as planning, decisions and others like budget, schedule and stakeholders’ engagement. Quantitative data is collected from 200 project managers and stakeholders from different sectors through a cross-sectional survey. Additionally, 15 face-to-face semi-structured interviews are conducted to gather qualitative data. The quantitative data is analyzed using descriptive statistics and regression analysis to establish the level and manner in which BDA affects the success of the projects. The qualitative data on the other hand is analyzed using thematic analysis to get the recurrent themes and experiences of the participants. The findings indicate that the benefits of adopting BDA enhance project success in aspects such as the schedule and resources. However, it is also shown that difficulties in integrating data and addressing gaps in expertise are crucial. The study adds to the body of knowledge of how BDA is applied within contemporary project management and resource suggestions for mitigating the barriers to its integration. Based on the findings of the research implications for both BDA applications in specific sectors and the long-term impact of BDA implementation on project management practices are recommended and directions for further research are provided.
NAVIGATING THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN PROJECT MANAGEMENT: A SCIENTOMETRIC ANALYSIS
Authors: A. Kozhakmetova; T. Narbaev; D. Serikbay; A. Маmyrbaev; K. Abdrashova
Year: 2024

This comprehensive literature review delves into the extensive body of research exploring the role of artificial intelligence (AI) in project management. Its primary objective is to amalgamate current knowledge while discerning prevalent trends, challenges, and advantages associated with incorporating AI into project management methodologies. The study employed bibliometric analysis using VOSViewer® software to scrutinize 246 pertinent publications sourced from the Scopus database, spanning the years 2013 to 2023. The findings from the Association Strength and Density Analysis revealed distinct clusters: Cluster 1 elucidated strong associations with terms like «construction project» «technology» «algorithm» «performance» and «time»; Cluster 2 emphasized «case stud,» «decision» and «cost»; while Cluster 3 concentrated on «literature» «industry» and «framework» Moving forward, promising areas for further exploration encompass the refinement of AI algorithms, exploration of AI’s impact on project outcomes, and the fusion of AI with emergent technologies like blockchain and the Internet of Things (IoT). This research serves as a foundational roadmap for future investigations aiming to leverage AI to enhance project management effectiveness and efficiency. Keywords: scientometric analysis, bibliometric review, project management, artificial intelligence, Machine Learning, cluster analysis, research trends.
PENERAPAN SISTEM KREDIT SEMESTER MERDEKA BELAJAR DI SMA NEGERI 1 GRESIK
Authors: Jaenuri Jaenuri; S. Mulyani
Year: 2024

The purpose of writing this thesis is to determine the implementation of the Semester Credit System (SKS) at SMAN 1 Gresik. Curriculum changes from timeto time SMA Negeri 1 Gresik has become a reference school for other schools. Since the launch of Mover Schools by implementing the Kurikulum Merdeka (KUMER), it has become a challenge for school principals. As a school driving community pressure, it is inevitable to implement SKS. This is driven by the desire of the student's parents to graduate within 2 academic years. This research uses data collection techniques, triangulation method, data sources (triangulation data), researchers (triangulation investigator), as well as perspectives and theories). The results of the research showed that there were no technical guidelines for SKS in Mover Schools, so the school formed a school development team, carried out curriculum inovation and conveyed aspirations during the PMO (Project Management Office) assisting Mover Schools. SMAN 1 Gresik was the first to implement the SKS program with an independent curriculum.
Effective Project Management Contribution on Project Success: A Review Article on the Building Sector in Ghana
Authors: Okine, Joseph
Year: 2023

Objective: The purpose of this research is to find out how effective project management contributes to a successful project outcome. 
Methods: The studies used a cross sectional study design. It was a quantitative study. Data was collected among project managers and team of industrial companies. Correlation was used to analyze the correlation between project management and project success.  
Results: The review of the studies indicates as follows; according to Akewushola et al. [1], companies' bottom lines have no impact on project quality management, according to the null hypothesis. Based on Pace's Pearson's correlation coefficient test findings, the technology group showed a relatively positive association between the project management approach and the project's reported success [2]. Contractors and customers were satisfied with the outcome of the project in Dinesh and Gangaram's [3] study. 
Conclusions: When projects adhere to certain project management principles, the likelihood of success for a company's initiatives is significantly enhanced.
ASSESSMENT OF QUALITY MANAGEMENT SYSTEM IN THE PROCESS OF CONSTRUCTION OF THE BISHKEK-NARYN-TORUGART MOTORWAY IN THE KYRGYZ REPUBLIC
Authors: Dinara Zhenishbekova
Year: 2024

The study focuses on the quality management system during the construction of the Bishkek-Naryn-Torugart motorway in the Kyrgyz Republic. It aims to analyse key aspects of quality management, identify problematic issues and propose recommendations for improvement. The methodology includes analyses of regulatory documents, technical specifications and data collected during the monitoring of construction works. The main focus is on quality control of materials, construction techniques and compliance of completed works with standards. The analysis of data, regulatory framework and practical experience helps to identify the main problems and propose recommendations for improving quality management in road infrastructure construction. The study aims to improve the efficiency of road construction project management and ensure an increased level of quality of road infrastructure in the country. As a result, the key factors affecting the effectiveness of the quality management system in the construction of a motorway are identified. Recommendations on optimisation of quality management processes to improve the level of work performance and ensure long-term sustainability of the Bishkek-Naryn-Torugart road infrastructure in the Kyrgyz Republic are proposed.
CLUSTERING OF PROJECTS IN ORDER TO INCREASE THE EFFICIENCY OF PROJECT MANAGEMENT PROCESSES IN FTC OF RUSSIA
Authors: Ilya A. Borisov
Year: 2023

An approach for clustering projects based on original algorithms and focused on assessing the information weight of groups of project attributes is proposed. To assess the similarity and difference between objects by the composition of features, operations with sets (intersection, difference, union, relation) and calculation of the similarity measure of Jacquard are used. Graphs constructed according to logical inclusion (absorption) matrices are used to visually represent the relationships between objects according to the selected characteristics.
Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis
Authors: Agnik Saha; M. S. Kader; Mohammad Masum
Year: 2024

Stack Exchange, a question-and-answer(Q&A) platform, has exhibited signs of a declining user engagement. This paper investigates user engagement dynamics across various Stack Exchange communities including Data science, AI, software engineering, project management, and GenAI. We propose a network graph representing users as nodes and their interactions as edges. We explore engagement patterns through key network metrics including Degree Centerality, Betweenness Centrality, and PageRank. The study findings reveal distinct community dynamics across these platforms, with smaller communities demonstrating more concentrated user influence, while larger platforms showcase more distributed engagement. Besides, the results showed insights into user roles, influence, and potential strategies for enhancing engagement. This research contributes to understanding of online community behavior and provides a framework for future studies to improve the Stack Exchange user experience.
Fine-grained social relationship extraction from real activity data under coarse supervision
Authors: K. Tsubouchi; Osamu Saisho; Junichi Sato; Seira Araki; M. Shimosaka
Year: 2015

Understanding social relationships plays an important role in smooth information sharing and project management. Recently, extracting social relationships from activity sensor data has gained popularity, and many researchers have tried to detect close relationship pairs based on the similarities between activity sensor data, namely, unsupervised approaches. However, there is room for further research into social relationship analysis of sensor data in terms of extraction performance. We therefore focus on improving the accuracy of detection and propose a novel fine-grained social relationship extraction from coarse supervision data by supervised approach based on multiple instance learning. In this paper, fine-grained relationship means the relationship including information about the time and duration they are together, and coarse supervision data is the data containing only information about whether they are together in a day. In this research, we evaluate the feasibility of our extraction method and analyze the extracted fine-grained social relationships. Our approach improve detection accuracy and achieve extraction of fine-grained relationships from coarse supervision data.
Enhancing the Performance of High-Growth Small- and Medium-Sized Enterprises through Effective Project-Management Processes and Stakeholder Engagement: A Systems Perspective
Authors: Igor Vrečko; P. Tominc; Karin Širec
Year: 2023

This study examines the impact of project-management practices on high-growth small and medium-sized enterprises (HG SMEs) from a systems perspective, utilizing structural equation modelling (SEM) and data from a diverse SME sample. It investigates the intricate relationships among several factors: project management system support, project-management processes, stakeholder involvement, project management success, project success, and HG SME growth. Our findings highlight the substantial positive influence of project-management processes and stakeholder engagement on project management success. These factors subsequently contribute significantly to both project success and the overall growth of HG SMEs. Notably, project management system support does not exhibit a substantial influence on these success factors. Furthermore, our research uncovers important indirect effects. Project-management processes indirectly impact both project success and HG SME growth, underscoring their central role. Similarly, stakeholder involvement indirectly influences HG SME growth through its impact on project success, emphasizing its significance. This study contributes to the existing body of knowledge by emphasizing the critical roles of project-management processes, stakeholder engagement, and project success as drivers of SME growth. These insights have valuable implications for SME managers, project leaders, and policymakers, highlighting the essential nature of effective project management in shaping the growth trajectory of SMEs.
Collaboration Platforms for Organizational Integration Uses and Benefits: A Review
Authors: Ittipat Chinangkulpiwat; Singha Chaveesuk; Wornchanok Chaiyasoonthorn
Year: 2023

A collaboration platform is a platform that allows employees to collaborate and coordinate their work together with the functionality of platform, for instance, project management, idea sharing, real-time information and data, virtual meeting, task administration, etc. During the pandemic, organizations everywhere in the world widely adopted collaboration platforms. Since the benefit of this platform and remote working trend, the organization is likely to continue using these platforms. Organizational integration is a crucial factor for the success of the organization. Organizational integration which consists of human integration and task integration seems to benefit from the application of a collaboration platform. This research intended to review the use of collaboration platforms and the benefits of collaboration platforms toward organizational integration, which can guide the application for new adopter to adopt and increase productivity for the organization. The finding illustrates that the application of collaboration platforms benefits organizational integration from both human integration and task integration perspectives. Future research aims on the case study where the combination of the collaboration platform may arise to maximize the benefits of organization in the specific purpose.