Ranking institutions within a university based on their scientific performance: A percentile-based approach

Over the recent years, the subject of university rankings has attracted a significant amount of attention and sparked a scientific debate. However, few studies on this topic focus on elaborating the scientific performance of universities’ institutions, such as institutes, schools, and faculties. For this reason, the aim of this study is to design an appropriate framework for evaluating and ranking institutions within a university. The devised methodology ranks institutions based on the number of published papers, mean normalized citation score (MNCS), and four percentile-based indicators using the I-distance method. We applied the proposed framework and scrutinized the University of Belgrade (UB) as the biggest and the best-ranked university in Serbia. Thus, 31 faculties and 11 institutes were compared. Namely, an in-depth percentile-based analysis of the UB papers indexed in the Science Citation Index Expanded (SCIe) and the Social Science Citation Index (SSCI) for the period 2008-2011 is provided. The results clearly show considerable discrepancies in two occasions: first, when it comes to the question of leading author, and second, when it comes to analyzing the percentile rank classes (PRs) of groups of faculties

Ranking institutions within a university based on their scientific performance: A percentile-based approach

Over the recent years, the subject of university rankings has attracted a significant amount of attention and sparked a scientific debate. However, few studies on this topic focus on elaborating the scientific performance of universities’ institutions, such as institutes, schools, and faculties. For this reason, the aim of this study is to design an appropriate framework for evaluating and ranking institutions within a university. The devised methodology ranks institutions based on the number of published papers, mean normalized citation score (MNCS), and four percentile-based indicators using the I-distance method. We applied the proposed framework and scrutinized the University of Belgrade (UB) as the biggest and the best-ranked university in Serbia. Thus, 31 faculties and 11 institutes were compared. Namely, an in-depth percentile-based analysis of the UB papers indexed in the Science Citation Index Expanded (SCIe) and the Social Science Citation Index (SSCI) for the period 2008-2011 is provided. The results clearly show considerable discrepancies in two occasions: first, when it comes to the question of leading author, and second, when it comes to analyzing the percentile rank classes (PRs) of groups of faculties

High Risk First Degree Relatives of Type 1 Diabetics: An Association with Increases in CXCR3 +

We analyzed the level of (a) CXCR3+ (Th1) and CCR4+ (Th2) T memory cells (b) interferon-γ inducible chemokine (IP-10)(Th1) and thymus and activation-regulated chemokine (TARC)(Th2), in 51 first degree relatives (FDRs) of type 1 diabetics (T1D) (17 high risk FDRs (GADA+, IA-2+) and 34 low risk FDRs (GADA−, IA-2−)), 24 recent-onset T1D (R-T1D), and 18 healthy subjects. T memory subsets were analyzed by using four-color immunofluorescence staining and flowcytometry. IP-10 and TARC were determined by ELISA. High risk FDRs showed higher levels of CXCR3+ and lower level of CCR4+ T memory cells compared to low risk FDRs (64.98 ± 5.19 versus 42.13 ± 11.11; 29.46 ± 2.83 versus 41.90 ± 8.58%, resp., P<0.001). Simultaneously, both IP-10 and TARC levels were increased in high risk versus low risk FDRs (160.12 ± 73.40 versus 105.39 ± 71.30; 438.83 ± 120.62 versus 312.04 ± 151.14 pg/mL, P<0.05). Binary logistic regression analysis identified the level of CXCR3+ T memory cells as predictors for high risk FDRs, together with high levels of IP-10. The results imply that, in FDRs, the risk for T1D might be strongly influenced by enhanced activity of Th1 and diminished activity of Th2 autoimmune response

A New Approach in the Evaluation of Team Chess Championships Rankings

Classification method in a team chess championship has long been an issue of great concern. In quest of the golden standard," Chess Federation officials applied many different ranking methods. As part of the improvements," significant changes were introduced at the 2009 Serbia Team Chess Championship. In this paper, we will examine results of the 2008 and 2009 tournament by applying the statistical ranking method. Our aim was to compare classification in these two tournaments and for the first time quantitatively evaluate the rankings method in team chess championships. Some significant results were obtained during the process and we see them useful for the quality evaluation procedure of the classification methods. The correlation between 2008 Serbia Team Chess Championship ranking and the ranking based on the I-distance method was very significant with r=0.9639 and p

Measuring the efficiency of banks: the bootstrapped I-distance GAR DEA approach

The efficiency of the banking sector, particularly in developing countries, has captivated the attention of various researchers. Contributing to this issue, we present the results of in-depth analysis of the efficiency of Serbian banks during the period 2005–2016. Unlike previous papers evaluating the efficiency of South-Eastern European banks, we emphasize the importance of applying weight restrictions in Data Envelopment Analysis (DEA). The aim is to incorporate every aspect of a decision-making unit’s performance to avoid misevaluation of a bank’s efficiency. As a possible remedy to the issue, a bootstrapped I-distance is suggested as a statistically sound framework for determining weight bounds in the Global Assurance Region (GAR) DEA model. In terms of average efficiency, the banking sector of Serbia exhibits an improving trend over the period analyzed. The results show how banks can be evaluated when the impact of all the operating inputs and outputs are properly factored into the study

How does genre preference influence the importance of film marketing mix elements: evidence during the COVID-19 pandemics

AbstractThis paper aims to propose a conceptual model which will unveil how fans of different film genres observe the importance of elements of marketing mix when consuming products in the film industry during COVID-19 pandemics. To verify the proposed conceptual model, a survey was conducted during the lockdown and the responses of 1606 individuals from Serbia, who declare themselves as film fans, were analyzed using structural equation modelling analysis. The results support the assumption that the respondents who prefer different film genres give different importance to elements of the film marketing mix. Our findings show that based on the genre of the film marketing activities can be tailored so as to improve their effects, especially during the pandemics and post-pandemics period. It is believed that the herein presented research could initiate further research on the issue of modelling marketing activities in the film industry based on consumers’ genre preference and behavior

REDESIGNING THE GLOBAL FOOD SECURITY INDEX: A MULTIVARIATE COMPOSITE I-DISTANCE INDICATOR APPROACH

The topic of food security has gained significant attention and importance due to its impact on political, economic, and humanitarian decisions governments make. Although composite indexes that measure food security have proliferated in the last decade, many questions regarding their methodologies remain unanswered. Among several composite indexes that aim to measure food security, the Global Food Security Index (GFSI) stands out for its solid methodology and reliable data sources. However, its weighting scheme can be categorized as biased. This paper attempts to overcome the issue of subjectively assigned weights to indicators and categories within the GFSI. Namely, we propose a statistical methodology, the Composite I-distance Indicator (CIDI), which is based on the I-distance method, for obtaining an unbiased weighting scheme. Our approach can serve as a foundation for future research on weighting schemes, which are enveloped with subjectivity

REDESIGNING THE GLOBAL FOOD SECURITY INDEX: A MULTIVARIATE COMPOSITE I-DISTANCE INDICATOR APPROACH

tract The topic of food security has gained significant attention and importance due to its impact on political, economic, and humanitarian decisions governments make. Although composite indexes that measure food security have proliferated in the last decade, many questions regarding their methodologies remain unanswered. Among several composite indexes that aim to measure food security, the Global Food Security Index (GFSI) stands out for its solid methodology and reliable data sources. However, its weighting scheme can be categorized as biased. This paper attempts to overcome the issue of subjectively assigned weights to indicators and categories within the GFSI. Namely, we propose a statistical methodology, the Composite I-distance Indicator (CIDI), which is based on the I-distance method, for obtaining an unbiased weighting scheme. Our approach can serve as a foundation for future research on weighting schemes, which are enveloped with subjectivity