1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
The Impact of Netflix’s AI Powered Recommendation System on Consumers’ Behavioral Intentions
Current studies primarily focus on the recommender systems (RSs) through the algorithmic accuracy, and which insufficient to fully measure accurately the practical effectiveness of the RSs and understand user experience. There is an urge examine the dynamic interactions on the critical user context of "beyond accuracy" features such as diversity, novelty, and serendipity to understand RS’s value creation mechanism holistically. The aim of the study is to explore the multidimensional effects of key features (Stimuli) of artificial intelligence (AI)-RSs on consumer behavior (Response) based on the Stimulus-Organism-Response (S-O-R) theoretical framework which is a gap in the literature. The study was modeled four key features of RSs (accuracy, diversity, novelty, serendipity) as stimuli, user engagement, satisfaction, and perceived risk as organism (mediating constructs), and behavioral intentions as the response. Data was collected from 437 participants, and analyses were conducted using the covariance-based structural equation modeling (CB-SEM) by AMOS 24.0 and SPSS 25.0 statistical programs. The findings explains that the empirical assumptions of the S-O-R model were met to a high degree, successfully explaining 61% of the variance in behavioral intentions. Specifically, satisfaction and engagement have strongest positive effects on behavioral intentions. The findings suggest that the effectiveness of AI-RSs should no longer be evaluated solely through algorithmic accuracy, but rather through the dynamics of user-centered value creation (satisfaction, engagement, and risk management). Furthermore, serendipity have the strongest direct effect on engagement, highlighting the importance of “beyond-accuracy objectives” that trigger curiosity. Accuracy and diversity significantly and negatively reduce risk, demonstrating a critical role in increasing system trustworthiness. Contrary to the accuracy-diversity trade-off problem, a strong positive relationship exists between accuracy and diversity, suggesting that these multiple goals reinforce each other in the context of user perception. These results provide important theoretical and practical consequences for the design of multi-objective recommender systems (MORS)
Variations on the Author
“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
We 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
We 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
We 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
ELEKTRONİK ÖĞRENMEDE ÖĞRENCİ İLGİ VE HEYECANININ ÖĞRENCİ TUTUMU VE AKADEMİK BAŞARI AÇISINDAN İNCELENMESİ
ÖZGünümüz eğitim sisteminde birçok program ve dersler
elektronik ortamda sunulmaktadır. Kalıcı öğrenmenin gerçekleşmesi hem
geleneksel eğitimin hem de elektronik öğrenme için önemli bir konudur. Ancak
elektronik öğrenmede, öğretmen ve öğrencinin fiziki bir ortamda bulunmaması ve
teknoloji boyutu çeşitli sorunları da beraberinde getirmektedir. Bireysel
başarını artırılmasında en önemli faktör öğrenci bireysel farklılıklarına uygun
etkili öğrenme sistemlerinin oluşturulmasıdır. Öğrencinin duyuşsal
özelliklerine uygun tasarlanan bir öğrenme ortamı kalıcı öğrenme ve başarıyı da
beraberinde getirecektir. Bu çalışmanın
amacı, elektronik öğrenmede öğrenci tutumu ile akademik başarı arasındaki
ilişkide öğrenci ilgi ve heyecanının aracılık etkisini incelemektir. Çalışma en
az bir dersi elektronik ortamda almış 756 önlisans, lisans ve lisansüstü
öğrenci ile gerçekleştirilmiştir. Çalışma kapsamında oluşturulmuş model
yardımıyla, öğrencilerin e-öğrenmeye yönelik ilgi ve heyecanının öğrenci tutumu
ve başarı arasındaki nedensel ve aracı ilişkileri ortaya konmuştur.
Araştırmadan elde edilen bulgular, e-öğrenmeye yönelik ilgi ve heyecanı öğrenci
tutumu ile akademik başarısı arasındaki ilişkiye aracılık ettiğini
göstermektedir. Anahtar
Kelimeler: Duyuşsal Özellikler, Akademik
Başarı, Elektronik ÖğrenmeJel Kodları: C91, I21, D8
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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