1,720,954 research outputs found
Using Artificial Intelligence for Resource Forecasting in Strategic Project Management
No full textAims: This study aims to evaluate the impact of artificial intelligence on project management processes, with a focus on resource forecasting. It further identifies key implementation challenges and provides strategic recommendations for effective AI integration.
Study design: Analytical research based on secondary data and simulation modeling.
Place and Duration of Study: The research was conducted through analytical evaluation of global scientific publications and applied modeling between January 2024 and February 2025.
Methodology: The study applied an analysis of scientific literature to identify current trends in the use of artificial intelligence, a structural-logical method for generalizing forecasting processes, and machine learning-based simulation modeling to evaluate AI capabilities in project management. Comparative analysis and synthesis methods were used to develop practical recommendations, considering organizational, technical, and economic constraints.
Results: The study revealed that artificial intelligence improves the accuracy of project resource forecasting, reduces the risk of exceeding budgets, and enhances adaptability to change. In particular, the use of machine learning reduced forecasting errors by up to 17% compared to traditional methods. Key implementation challenges were identified, including poor data quality, high implementation costs, and insufficient staff competencies. A phased approach to AI integration is proposed, including pilot project deployment, reliable data preparation, and targeted staff training.
Conclusion: Artificial intelligence plays a critical role in enhancing the effectiveness of strategic project management by enabling more accurate forecasting, optimized resource allocation, and timely adaptation. Future research should focus on improving algorithmic accuracy, developing industry-specific AI models, and creating implementation standards to ensure long-term project sustainability and resilience.
This article is important for the scientific community as it addresses a critical challenge in modern project management - the integration of artificial intelligence into resource forecasting. The review systematizes recent interdisciplinary findings and supports the development of advanced methodologies at the intersection of AI and strategic planning. It contributes to bridging theoretical knowledge and practical applications across various industries. The results may serve as a foundation for further research and innovation in digital project management
Optimizing Web Development and Deployment Efficiency: The Impact of React, MongoDB, and Jenkins in Modern Software Engineering
No full textA study examines how the current web technologies React and MongoDB affect development speed and system operational outcomes. The analysis investigates how React elements improve system maintainability through its component-based design in combination with MongoDB flexibility for handling dynamic data systems. The integration of Jenkins as a Continuous Integration and Continuous Deployment (CI/CD) pipeline receives analysis to evaluate deployment speed and automation as well as software reliability. Jenkins stands apart from alternative CI/CD solutions because the study demonstrates its exclusive deployment benefits over conventional model approaches. The implemented technologies prove essential for contemporary software engineering because they minimize developmental periods and boost teamwork and deliver continuous updates
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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