Measuring Scientific Research Performance of Romanian Public Research Entities

2012 ◽  
Vol 1 (4) ◽  
pp. 52-66
Author(s):  
Silviu-Mihail Tiţă
Keyword(s):  
Economic Growth ◽  
Peer Review ◽  
Research Performance ◽  
Scientific Research ◽  
Quantitative Model ◽  
Public Research ◽  
Research Institutes ◽  
Strategic Role ◽  
Romanian Academy

In this period, the science sector plays a strategic role to increase the economic growth of countries and for this reason the measure and evaluation of research performance of its units (public research institutes) is needed. The most model for evaluate research is based on peer review, but when this method in Romania become inefficient the alternative was quantitative model One of the quantitative model is RELEV. The author used this model to evaluate more than 100 Romanian research entities: National Research Institutes, Universities, Research institutes of the Romanian Academy, Medical Units and Companies.

Social-Scientific Research Competency

2019 ◽  
Vol 35 (5) ◽  
pp. 737-750 ◽  
Author(s):  
Christopher Gess ◽  
Christoph Geiger ◽  
Matthias Ziegler
Keyword(s):  
Higher Education ◽  
Test Scores ◽  
Research Performance ◽  
Scientific Research ◽  
Research Education ◽  
Crystallized Intelligence ◽  
Research Competency ◽  
Social Scientific Research ◽  
Social Scientific ◽  
Education Courses

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.

scholarly journals Examining the connection among national tourism expenditure and economic growth in Algeria

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Salah Eddine Sari Hassoun ◽  
Khayereddine Salim Adda ◽  
Asma Hadjira Sebbane
Keyword(s):  
Economic Growth ◽  
Structural Break ◽  
Unit Root Test ◽  
Vector Autoregressive ◽  
Natural Logarithm ◽  
Tourism Sector ◽  
Strategic Role ◽  
Short Run ◽  
Per Capita ◽  
Tourism Expenditure

AbstractTourism is one of the most important sectors for several researchers and decision makers, due to its influence on the world economic growth in the twenty-first century, making it as a source of competition between countries to a global industry for its effective strategic role in the development of countries. In this paper, we used two variables natural logarithm of per capita gross domestic product (GDP) and natural logarithm of per capita international and national tourism expenditure (ITE) to study the relationship between the tourism sector and economic growth in Algeria over the period of 1995–2017. We established with the unit root test with and without breakpoint that the variables are stationary in the first difference and there is a structural break in (ITE) and (GDP). Thus, with the presence of a breakpoint, we employed the methodology of Gregory–Hansen to avoid such issue, but we found that there was no evidence of cointegration with breakpoint, so then we used the vector autoregressive model (VAR). The model showed that the tourism sector has a positive and insignificant coefficient on the economic growth, while the economic growth factor has a positive and significant on the tourism sector. In the short run, there was a one-way causality from GDP to ITE at the level of 1%, confirming the economic-driven tourism growth hypothesis. Also, we found with Breitung and Candelon causality that there was same causality at the level of 10%.

Peer Review Metrics and their influence on the Journal Impact

2021 ◽  
pp. 016555152110597
Author(s):  
Sumeer Gul ◽  
Aasif Ahmad Mir ◽  
Sheikh Shueb ◽  
Nahida Tun Nisa ◽  
Salma Nisar
Keyword(s):  
Impact Factor ◽  
Peer Review ◽  
Research Performance ◽  
Early Access ◽  
Editorial Decision ◽  
Article Influence Score ◽  
Impact Data ◽  
Journal Impact ◽  
Immediacy Index ◽  
Article Influence

The manuscript processing timeline, a necessary facet of the publishing process, varies from journal to journal, and its influence on the journal impact needs to be studied. The current research looks into the correlation between the ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and the ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score). The data related to ‘Peer Review Metrics’ (submission to first editorial decision; submission to first post-review decision and submission to accept) and ‘Journal Impact Data’ (2-year Impact Factor; 5-year Impact Factor; Immediacy Index; Eigenfactor Score and Article Influence Score) were downloaded from the ‘Nature Research’ journals website https://www.nature.com/nature-portfolio/about/journal-metrics . Accordingly, correlations were drawn between the ‘Peer Review Metrics’ and the ‘Journal Impact Data’. If the time from ‘submission to first editorial decision’ decreases, the ‘Journal Impact Data’ increases and vice versa. However, an increase or decrease in the time from ‘submission to first editorial decision’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. An increase or decrease in the time from ‘submission to first post-review decision’ does not affect any ‘Journal Impact Data’ and vice versa. If the time from ‘submission to acceptance’ increases, the ‘Journal Impact Data’ (2-year Impact Factor, 5-year Impact Factor, Immediacy Index and Article Influence Score) also increases, and if the time from ‘submission to acceptance’ decreases, so will the ‘Journal Impact Data’. However, an increase or decrease in the time from ‘submission to acceptance’ does not affect the ‘Eigenfactor Score’ of the journal and vice versa. The study will act as a ready reference tool for the scholars to select the most appropriate submitting platforms for their scholarly endeavours. Furthermore, the performance and evaluative indicators responsible for a journal’s overall research performance can also be understood from a micro-analytical view, which will help the researchers select appropriate journals for their future scholarly submissions. Lengthy publication timelines are a big problem for the researchers because they are not able to get the credit for their research on time. Since the study validates a relationship between the ‘Peer Review Metrics’ and ‘Journal Impact Data’, the findings will be of great help in making an appropriate journal’s choice. The study can be an eye opener for the journal administrators who vocalise a speed-up publication process by enhancing certain areas of publication timeline. The study is the first of its kind that correlates the ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’. The study’s findings are limited to the data retrieved from the ‘Nature Research’ journals and cannot be generalised to the full score of journals. The study can be extended across other publishers to generalise the findings. Even the articles’ early access availability concerning ‘Peer Review Metrics’ of the journals and the ‘Journal Impact Data’ can be studied.

scholarly journals Peer Review Process in Scholarly Communication and Scientific Publishing

2020 ◽  
Vol 17 ◽  
pp. 15-19
Author(s):  
Bishnu Bahadur Khatri
Keyword(s):  
Peer Review ◽  
Review Process ◽  
Peer Review Process ◽  
Scholarly Communication ◽  
Scientific Research ◽  
Early Career ◽  
Scientific Publishing ◽  
The Public ◽  
Quality Control Mechanism

Peer review in scholarly communication and scientific publishing, in one form or another, has always been regarded as crucial to the reputation and reliability of scientific research. In the growing interest of scholarly research and publication, this paper tries to discuss about peer review process and its different types to communicate the early career researchers and academics.This paper has used the published and unpublished documents for information collection. It reveals that peer review places the reviewer, with the author, at the heart of scientific publishing. It is the system used to assess the quality of scientific research before it is published. Therefore, it concludes that peer review is used to advancing and testing scientific knowledgeas a quality control mechanism forscientists, publishers and the public.

scholarly journals O desempenho da investigação em gestão em Portugal: Algumas causas e consequências

2017 ◽  
Vol 25 ◽  
pp. 103
Author(s):  
Margarida M. Pinheiro
Keyword(s):  
Research Performance ◽  
Academic Research ◽  
Scientific Research ◽  
National Agency ◽  
Academic Promotion ◽  
Research Production ◽  
Education Data ◽  
Literature Reviews ◽  
Academic Recognition ◽  
The One

Motivated by literature reviews of quality assurance systems, scientific research, academic recognition and academic activity, the aim of this paper is to identify the causes and consequences of research performance in management that occurs in Portuguese universities. This empirical analysis involved data collection from curricular files compulsorily submitted to the national Agency for Assessment and Accreditation of Higher Education. Data refers to the one and only national census for quality accreditation. Logistic regression, cluster analysis and optimal scaling were used. On the one hand, the study seems to confirm what is already known from the literature: those who do scientific research tend to achieve a greater academic promotion, because they reach higher professional categories or higher academic levels, and even more stable tenure-track contracts. On the other hand, the study reveals that the teaching load does not seem to influence academic research. Furthermore, it appears that age, gender, internationalization, professional experience and endogamy do not contribute to scientific research production.

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