scholarly journals Research Productivity in Emerging Economies: Empirical Evidence from Kazakhstan

Publications ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 51
Author(s):  
Timur Narbaev ◽  
Diana Amirbekova
Keyword(s):  
Network Analysis ◽  
Research Productivity ◽  
Scientific Literature ◽  
Descriptive Analysis ◽  
Emerging Countries ◽  
Productivity Analysis ◽  
Policy Reforms ◽  
Arts And Humanities ◽  
Subject Areas ◽  
Lotka’S Law

The growth of the Higher Education and Science (HES) sector is positively associated with its research productivity and has a high potential in emerging countries. To explore such research productivity, this study offers a comprehensive analysis of the scientific literature from Kazakhstan. Our methods included descriptive analysis, network analysis, and author-based productivity analysis (by Lotka’s law) of 23,371 articles from Scopus, published during 1991–2020, and across 25 subject areas. The results of the descriptive analysis showed a substantial increase in the number of and citations to the literature since 2011 in almost all subject areas. However, the network analysis found that research in natural sciences was more developed in topical relationships and international collaborations than research in arts and humanities, social, and medical sciences. The Lotka’s law application revealed that the overall scientific literature in Kazakhstan did not reach its necessary stage of maturity. Additionally, some subject areas demonstrated greater contribution to the overall knowledge base, while others were less productive or lagging in their development. Our findings, useful for researchers and policymakers in emerging countries, can be exemplary in understanding the results of policy reforms aimed to improve the HES sector in emerging countries.

Bibliometric study of social network analysis literature

2019 ◽  
Vol 38 (2) ◽  
pp. 420-433 ◽  
Author(s):  
Yu-Sheng Su ◽  
Chien-Linag Lin ◽  
Shih-Yeh Chen ◽  
Chin-Feng Lai
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Computer Mediated Communication ◽  
Content Type ◽  
Productivity Distribution ◽  
Author Productivity ◽  
Subject Areas ◽  
Lotka’S Law

Purpose The purpose of this paper is to use bibliometric analysis to identify the current state of the academic literature regarding social network analysis (SNA) and analyze its knowledge base such as research authors, research countries, document type, keyword analysis and subject areas. Design/methodology/approach Bibliometric analysis is used and furthermore, Lotka’s and Bradford’s law is applied to perform author productivity analyses in this field during 1999 and 2018, respectively, in turn, discovering historical vein and research tendency in the future. Findings It appears that the research on SNA has been very popular and still in the highly mature period. So far, the USA takes the lead among the published paper. The top 2 subject areas are “Computer Science” and “Business Economics.” The primary journal that SNA articles were published is Computers in Human Behavior. SNA has been related to many research areas, such as “Social network analysis,” “Computer-mediated communication,” “Online learning,” “Social Network” and “Community of inquiry.” Finally, Kolmogorov–Smirnov (K-S) test proved that the frequency indexes of author productivity distribution certainly followed Lotka’s law. Research limitations/implications First, the productivity distribution may inform researchers and scholars of current issues and development of SNA. Second, the study proposed a theoretical model, based on Lotka’s law, for author productivity analysis of SNA, which can serve as reference for different areas of study in the evaluation of author productivity models. Also, in order to allow researchers to gain in-depth insights, this study aimed to report the most published institutions and keep track of the growth and trend of author productivity, by which scholars in related fields are provided with more opportunities for academic communication and technological cooperation. Originality/value This research on the productivity distribution of SNA may inform researchers and scholars of current issues and development of SNA. The findings report the major publication outlets and related discussion issues about SNA. Such information would be valuable for related authors, who are writing the manuscript on SNA, and also for practitioners, who may be interested in applying the theory or ideas of SNA.

Impact of crude oil price on the socio-political environment of global countries

2019 ◽  
Vol 118 (3) ◽  
pp. 110-122
Author(s):  
Johnson Clement Madathil ◽  
Velmurugan P. S
Keyword(s):  
Crude Oil ◽  
Descriptive Analysis ◽  
Oil Price ◽  
Policy Framework ◽  
Political Environment ◽  
Policy Reforms ◽  
Crude Oil Price ◽  
Short Term ◽  
Political Impact ◽  
New Energy

Crude oil is known to have an impact on people’s life of both producers and consumers of crude oil countries. A producer country’s socio-political impact will be different from a consumer country’s socio-political impact. This paper aims to show that crude oil price has a socio-political impact on global countries through descriptive analysis. The study found that there were similarities in the movement of crude oil price and change in GDP of both India and United States and further Russia and Venezuela have had crude oil impact on their respective GDP’s, which has made them take policy reforms. The paper identifies changes in the policy framework due to influence of crude oil price and eventual changes in existing socio-political environment. Taking oil producing countries such as Russia and Venezuela as examples, this paper suggests that policy reforms are the key to having a stable socio-political environment. Russia shows us that having a flexible monetary policy can keep the budget dependence on crude oil reduced in the short term. On the other hand, for oil consuming countries, having a stable supply and moving to new energy sources is the key to tackle the influence of crude oil price on the socio-political environment of global countries.

scholarly journals Research Creativity and Productivity in Political Science: A Research Agenda for Understanding Alternative Career Paths and Attitudes Toward Professional Work in the Profession

2019 ◽  
Vol 53 (1) ◽  
pp. 79-83
Author(s):  
Kim Quaile Hill
Keyword(s):  
Research Productivity ◽  
Career Paths ◽  
Research Agenda ◽  
Scientific Literature ◽  
Future Research ◽  
Scientific Career ◽  
Scientific Careers ◽  
Publication Success ◽  
General Scientific ◽  
Over Time

ABSTRACTA growing body of research investigates the factors that enhance the research productivity and creativity of political scientists. This work provides a foundation for future research, but it has not addressed some of the most promising causal hypotheses in the general scientific literature on this topic. This article explicates the latter hypotheses, a typology of scientific career paths that distinguishes how scientific careers vary over time with respect to creative ambitions and achievements, and a research agenda based on the preceding components for investigation of the publication success of political scientists.

Social network analysis and data visualization of MIS international collaboration in Taiwan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ting Chuang ◽  
Yi-Hsi Chen
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Collaboration ◽  
Research Productivity ◽  
Research Collaboration ◽  
Clustering Algorithms ◽  
The United States ◽  
Content Type ◽  
Collaboration Patterns

PurposeThe purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.Design/methodology/approachThe authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.FindingsThe authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.Originality/valueThis study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

Network Analysis for Economics and Management Studies

2016 ◽  
pp. 1-60 ◽  
Author(s):  
Lucio Biggiero
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Formation ◽  
Competitive Equilibrium ◽  
Group Structure ◽  
Network Modeling ◽  
Descriptive Analysis ◽  
Economic Networks ◽  
Main Research

Sociology and other social sciences have employed network analysis earlier than management and organization sciences, and much earlier than economics, which has been the last one to systematically adopt it. Nevertheless, the development of network economics during last 15 years has been massive, alongside three main research streams: strategic formation network modeling, (mostly descriptive) analysis of real economic networks, and optimization methods of economic networks. The main reason why this enthusiastic and rapidly diffused interest of economists came so late is that the most essential network properties, like externalities, endogenous change processes, and nonlinear propagation processes, definitely prevent the possibility to build a general – and indeed even partial – competitive equilibrium theory. For this paradigm has dominated economics in the last century, this incompatibility operated as a hard brake, and presented network analysis as an inappropriate epistemology. Further, being intrinsically (and often, until recent times, also radically) structuralist, social network analysis was also antithetic to radical methodological individualism, which was – and still is – economics dominant methodology. Though culturally and scientifically influenced by economists in some fields, like finance, banking and industry studies, scholars in management and organization sciences were free from “neoclassical economics chains”, and therefore more ready and open to adopt the methodology and epistemology of social network analysis. The main and early field through which its methods were channeled was the sociology of organizations, and in particular group structure and communication, because this is a research area largely overlapped between sociology and management studies. Currently, network analysis is becoming more and more diffused within management and organization sciences. Mostly descriptive until 15 years ago, all the fields of social network analysis have a great opportunity of enriching and developing its methods of investigation through statistical network modeling, which offers the possibility to develop, respectively, network formation and network dynamics models. They are a good compromise between the much more powerful agent-based simulation models and the usually descriptive (or poorly analytical) methods.

scholarly journals Gender Differences in Social Support Received by Informal Caregivers: A Personal Network Analysis Approach

2018 ◽  
Vol 16 (1) ◽  
pp. 91 ◽  
Author(s):  
María Rodríguez-Madrid ◽  
María del Río-Lozano ◽  
Rosario Fernandez-Peña ◽  
Jaime Jiménez-Pernett ◽  
Leticia García-Mochón ◽  
...  
Keyword(s):  
Social Support ◽  
Gender Differences ◽  
Network Analysis ◽  
Descriptive Analysis ◽  
Perceived Health ◽  
Personal Network ◽  
Convenience Sample ◽  
Caregiver Support ◽  
Traditional Gender Roles ◽  
And Function

Social support is an important predictor of the health of a population. Few studies have analyzed the influence of caregivers’ personal networks from a gender perspective. The aim of this study was to analyze the composition, structure, and function of informal caregiver support networks and to examine gender differences. It also aimed to explore the association between different network characteristics and self-perceived health among caregivers. We performed a social network analysis study using a convenience sample of 25 female and 25 male caregivers. A descriptive analysis of the caregivers and bivariate analyses for associations with self-perceived health were performed. The structural metrics analyzed were density; degree centrality mean; betweenness centrality mean; and number of cliques, components, and isolates. The variability observed in the structure of the networks was not explained by gender. Some significant differences between men and women were observed for network composition and function. Women received help mainly from women with a similar profile to them. Men’s networks were broader and more diverse and they had more help from outside family circles, although these outcomes were not statistically significant. Our results indicate the need to develop strategies that do not reinforce traditional gender roles, but rather encourage a greater sharing of responsibility among all parties.

Architecture and the humanities

2014 ◽  
Vol 18 (1) ◽  
pp. 47-54
Author(s):  
Thomas Deckker
Keyword(s):  
Primary Research ◽  
Application Process ◽  
Social Lives ◽  
Arts And Humanities ◽  
Research Areas ◽  
Conceptual Structures ◽  
Spatial Environment ◽  
Tiered System ◽  
Subject Areas ◽  
The Uk

This study arose from the UK Arts and Humanities Research Council funded ‘Connected Communities’ project. It was apparent at the outset that the AHRC had not considered that architecture might be important, if not central, to discussions on communities, and it became obvious that this attitude was prevalent throughout the academic and media worlds. Despite evidence that the formal and conceptual structures of architecture permeated numerous disciplines, and that the built environment permeated our personal and social lives, other disciplines in the humanities and social sciences did not think architecture was relevant to the humanities in general.This belief is represented within the institutional structure of the AHRC itself. The AHRC Joint Electronic Submissions funding application process organises research into a three-tiered system of research areas: there are seventy-eight primary research areas including Visual Arts with twelve subcategories, Dance with five, Drama with six, and Design with six, of which architecture is one. There is no other research classification for the spatial environment, built or unbuilt. On the other hand a search for ‘architecture’ gives six primary research areas, encompassing thirty-six third level subject areas. Except for the architecture subcategory under Design, the others have to do with information, computing and software.

Emerging countries and trade regionalization. A network analysis

2014 ◽  
Vol 36 ◽  
pp. S89-S110 ◽  
Author(s):  
P. Lelio Iapadre ◽  
Lucia Tajoli
Keyword(s):  
Network Analysis ◽  
Emerging Countries
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