1,720,985 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
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
Fiber Fusion : An exploration of color gradients through color mixing of blending wool fibers.
This degree work positions itself in the field of textile design, more specifically in non-woven, color blending, felting, and interaction. The work explores different techniques such as mechanical felting with needle punch, wet felting to manipulate forms, and carding, with a focus on color blending. The aimis to explore the design possibilities in non-woven wool in regards to color blending color gradients. The motivation for the project is to bring textile design into a wider context, and to investigate how the combination of blending colored fibers and felting techniques can create double-sided textiles. Through a hands-on method, explorations were carried out using two textile techniques; Color blending and needle punching. Loose wool fibers were dyed in the three primary colors, then carded into a range of saturated colors, which gave a rich color library to work further on with. Wet felting was used to bond, create non-woven material and make 3-dimensional forms. The result is three pieces in 100% non-woven wool with different color gradients which encourage interaction. The conclusion is that it is possible to work with an alternative color blending method (wool carding) in non-woven in order to create color gradations. The project shows that the field of textile design is expanded by pushing the boundaries of how a textile designer can work with these techniques
Cost Efficiency and Loan Loss Provision Analysis in Vietnamese banks
This study analyses cost efficiency and loan loss provisioning behaviour of 33 Vietnamese commercial banks over the period of 2011 to 2018. Along with testing three hypotheses of loan loss provision, including income smoothing, capital management and business cycle, the results of cost efficiency score are included in the model to examine their relationship proposed by Berger and DeYoung (1997). This study first estimates banks’ efficiency levels from a translog cost function. Then, we incorporate the estimated efficiency results into the regression of loan loss provisions using Generalized Method of Moments (GMM) estimators. The empirical results show that the average of Vietnamese banks efficiency score is above 92% and support for the existence of the income smoothing and capital management hypotheses, whereas no evidence is found for business cycle. Furthermore, a significant negative relationship between loan loss provisions and the banks efficiency is indicated
Understanding Millennial Investors' Behaviour Towards Cryptocurrency as an Investment
This research is among one of the few studies conducted in Europe and study about millennial
investors in the context of cryptocurrency investment. It has enriched readers’ understanding with various areas that have a potential influence on millennial investors’ perceptions of cryptocurrency investment, while validating its theoretical framework with the use of mixed-method.
The research aims to explore the perceptions and behaviours of millennial investors on cryptocurrency as an investment. This is achieved through research objectives by: reviewing previous literatures on cryptocurrency from millennials’ perspectives, developing of a conceptual model in decision-making, identifying which factors have the most influence on millennial investors in cryptocurrency, and lastly, contributing findings to fill in gaps in the both academic and business aspects.
Among cryptocurrency users, most view it as an investment because they believe it offers financial inclusion, independence from governing bodies, and a secure means of preserving their funds. Moreover, when it comes to new experience, individuals would integrate their perceptions when determining their course of action. Therefore, Hierarchical Decision Modeling and anchored in the Theory of Planned Behaviour and Technology Acceptance Model were employed to clarify this problem. It critically reviews millennial-centric cryptocurrency literature, develops a decision making model, and validates various technological, economic, social, and governmental aspects. In terms of methodology, the study has adopted a pragmatic and abductive approach.
Accordingly, a mixed-methods design has been employed, utilizing a sequential exploratory approach that commences with a qualitative inquiry and culminates in a quantitative analysis. A total sample size of 131 individuals which comprises a subgroup of 10 participants who partake in the qualitative phase of the study, followed by a larger cohort of 121 participants engaged in the subsequent quantitative phase. The deliberate division of participants into two independent samples has been undertaken as a precautionary measure given the mixed-methods nature of the study.
Qualitative analysis reveals that most respondents consider factors like price movements, trust in the system, influence from friends and family, and taxations as significant influencers of their cryptocurrency investment decisions. At a 5% significance level, quantitative method establishes statistical significance for all independent variables, affirming the predictive value of price movements, trust in the cryptocurrency system, advice from their personal social circles, and tax policies in shaping millennial investors' perceptions of cryptocurrency investments. These quantitative findings corroborate the qualitative outcomes, reiterating that technological and governmental factors exert less influence on millennial investors compared to the aforementioned variables. This convergence between quantitative and qualitative findings underscores the robustness and consistency of the study's results, affirming the significance of friends and family as a driving force behind millennial investors' perceptions in cryptocurrency adoption and its ongoing influence on their investment perceptions.
With the dynamic of the study and its topic, it is useful for business to comprehend cryptocurrency
investors’ perceptions and behaviours for risk management, product development, building market strategies and customer service tailoring to market participants’ needs
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