1,720,958 research outputs found
Forecasting model to predict project success based on the contractors’ characteristics
No full textA Master of Science thesis in Engineering Systems Management by Khalid Waleed Rashid Deemas AlSuwaidi entitled, “Forecasting Model to Predict Project Success Based on the Contractors’ Characteristics”, submitted in April 2018. Thesis advisor is Dr. Sameh El-Sayegh. Soft and hard copy availableSuccessful delivery of construction projects requires completing the projects on time and within budget, while ensuring the delivery of a quality product. Most construction projects experience delays, cost overruns and quality problems. In a country like the United Arab Emirates (UAE), where high development activities are happening rapidly, it is very dangerous for the overall economy if repeated failures in construction projects remain unsolved or even uninvestigated. The selection of the right contractor has a direct and significant impact on the success of construction projects. There is a need to select the appropriate contractor who is capable of increasing the chances of the project’s success. Relying on the selection of the lowest bidder is misleading. The research objective is to develop a model that predicts the project’s success based on the contractor’s characteristics, be they financial or non-financial. This will reduce the risks associated with the process extensively. Sixteen key characteristics, that have a direct impact on project success, were identified through an extensive literature review. Those sixteen characteristics were grouped into four main categories: the firm’s capacity, past experience and past performance, project management capabilities and sustainability and technology practices. A survey, using the Analytic Hierarchy Process (AHP), was conducted to prioritize those characteristics and link them to the success criteria. Success criteria were limited to cost, time and quality. Forty-five respondents completed the survey including owners, contractors and consultants. The results indicated that respondents prefer financial (bid price) slightly over non-financial characteristics (0.513 and 0.487, respectively). As for the non-financial characteristics, the results show that the main categories are ranked as follows: project management capabilities, past experience and past performance, sustainability and technology practices and firm’s capacity. Four out of the top five characteristics were found to be part of the project management capabilities group. In terms of project success criteria, the results are as follows: quality (0.413), cost (0.317), and time (0.270). Through relating contractor characteristics and financial factors to the project success criteria, a forecasting model has been developed to predict project success based on the given parameters. A case study is also presented to show the application of the proposed model.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM
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
Ethical AI in U.S. Newspaper Coverage: Media Framing and Corporate Accountability
Get PDFAs U.S. corporations increasingly adopt artificial intelligence (AI) technologies, ethical development and deployment concerns have become central to public discourse. This thesis investigates how news media in the United States cover and frame ethical issues related to corporate AI practices and whether media outlets hold corporations accountable for AI-related harms. This study, grounded in agenda-setting and media framing theory, explores the relationship between media narratives and public awareness of ethical AI issues, emphasizing the media's role as informer and watchdog. The study uses a mixed-methods design. A quantitative content analysis of over 14,000 U.S. newspaper articles published in 2024 identifies the frequency and prominence of ethical themes, including beneficence, nonmaleficence, autonomy, justice, and explicability. A qualitative analysis of 366 sampled articles examines whether ethical concerns are critically assessed. Findings reveal that while ethical concerns—particularly those related to risk, privacy, and job displacement—are present in media coverage, other principles, such as transparency and corporate accountability, are underrepresented. Media framing often emphasizes the benefits of AI and economic progress while minimizing structural harms or explicit attribution of responsibility. The study also identifies systemic challenges journalists face in covering AI ethics, including corporate influence, limited source access, and media–tech partnerships that may compromise independence
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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