1,720,953 research outputs found
Understanding Cultural Intelligence Factors among Business Students in Romania
AbstractCultural intelligence (CQ) is a relatively new concept, one that explains why certain individuals can adapt to different cultural contexts more efficiently than others. Using Earley & Ang's (2003) multidimensional concept as an analysis framework, this paper will study the intercultural intelligence among business students in Romania. We have chosen this research topic because we believe that the business students of today will become the global managers of tomorrow. Given that CQ is a multidimensional concept, this paper will analyze the answers for each of the four CQ dimensions, in order to identify which of the four capabilities is more or less developed among students. The final purpose is to understand the CQ components on which higher education should focus more. We wish to find educational solutions adapted to the actual needs of business graduates
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
PREDICTION OF CORPORATE BANKRUPTCY IN ROMANIA THROUGH THE USE OF LOGISTIC REGRESSION
The purpose of this paper is to test weather data from synthetic financial statements publically available in Romania can be employed within a logistic regression model to accurately predict the corporate bankruptcy probability over the economic crisis period.
The population initially subjected to our study included all the 26,980 companies from the Timis County that submitted financial statements for 2007 to the public authorities. As this population proved very heterogeneous, we focused on a more homogeneous group, composed of 4,327 companies. The target population was chosen by employing both economical and statistical criterions.
The data from the synthetic financial statements was used to build 12 ratios, 5 of which have proven to be significant within a logistic model for predicting corporate bankruptcy.
It was clear that other sources of information could help improve the accuracy of the predictions, but these sources are not easily accessible to most of the stakeholders. As the synthetic financial statements are publically available, evaluating their utility in the prediction of corporate bankruptcy was one of the main objectives of this research.
The proposed model offers an in-sample overall 70.3% accuracy in the prediction of the bankruptcy event over a 5 – year period, with an out of sample overall accuracy of 67.6%.
Under these circumstances, the model is considered to be of immediate practical utility, as it can represent a tool for performing a fast estimation of the bankruptcy probability of a company that fits the profile of the target population.
As theoretical contributions, the research proves that the companies that filed for bankruptcy during the crisis period showed signs of weaknesses before the beginning of the crisis. Financial ratios that show relevance in the prediction of corporate bankruptcy at local level have been identified and their correlation with the bankruptcy probability has been evaluated. The model is expected to maintain its accuracy with minimal or no additional calibration for companies from the entire Romanian economy that fit the profile of the target population
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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