1,720,972 research outputs found
AI-Driven Risk Management to Promote SDGs? An Exploratory Study in Jordan Construction Sector
No full text[EN] This study examines the impact of risks controlled by AI on the sustainable performance of the building sector in Jordan. 240 responses were obtained using the survey method from March to May 2024, while respondents from different positions, the size of the company, and demography for a wide representation. The analysis was performed by partial modeling of the struc-tural equation of the smallest squares (PLS- SEM), with robustness secured by sufficient sample size. Results show that risk management- supported AM is a significant entry on sustainable development goals (SDG) when applied in operation. The study finds that it mediates the indirect effect of risk management between AI adoption and SDG, where it examines its role in con-tributing to responsible growth. The article deals with space in the field of research by exploring how AI allows sustainability in construction projects, a relatively insufficiently explored area. The findings show the impact of AI on the life cycles of the project¿planning, implementation, and control¿improved efficacy, reduced risks, and guaranteed sustainability. These findings offer special guidelines in AI mapping using sustainability and innovation goals.Funding for open access charge: CRUE-Universitat Politecnica de Valencia.Al-Qudah, S.;Fuentes Bargues, José Luis;Ferrer-Gisbert, Pablo-S.;Al-Abdallat, HN. (2025). AI-Driven Risk Management to Promote SDGs? An Exploratory Study in Jordan Construction Sector. Sustainable Development (Online). 33(51):1107-1123. https://doi.org/10.1002/sd.3534S11071123335
The Effect of COVID-19 on the Research Trends on Project Risk Management and Achievement of Sustainable Development Goals
Get PDF[EN] Due to the spread of the coronavirus over the last 3 years, researchers have con-ducted numerous studies on the COVID-19, project risk management (PRM), and sustainable development goals (SDGs) topics. In this context, the study aims to identify the most important authors, sources, organizations, and countries con-tributing to the effect of COVID-19 on PRM and SDGs also to provide researchers with extensive insights into the prominent research trends and gaps in the literature. Therefore, this study analyzes the state of the art in the literature about global trends of the research on COVID-19 risks impact in project risk management and SDGs by using bibliometric analysis. Four hundred thirty-eight studies on COVID-19 risks impact on project risk management and SDGs achievement were published in the WoS database between 2019 and 2022. VOSviewer software was used to analyze the co-occurrence of all keywords, co-authorships analysis, and co-citation analy-sis for sources. Results show the contribution of authors from 23 countries and 91 keywords were identified and organized in four clusters such as the challenges of project risk management and SDGs implementation during COVID-19, the effect of COVID-19 crisis on good health and well-being goal achievement, the importance of risk perception knowledge in projects environment to keep worker health care, and the effect of COVID-19 on project risk management plan factors.Al Qudah, S.;Fuentes Bargues, José Luis;Ferrer-Gisbert, Pablo-S. (2024). The Effect of COVID-19 on the Research Trends on Project Risk Management and Achievement of Sustainable Development Goals. Journal of the Knowledge Economy. 15:14578-14596. https://doi.org/10.1007/s13132-023-01654-6S14578145961
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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