scholarly journals Governmental Intervention and Its Impact on Growth, Economic Development, and Technology in OECD Countries

2020 ◽  
Vol 13 (1) ◽  
pp. 166
Author(s):  
Arik Sadeh ◽  
Claudia Florina Radu ◽  
Cristina Feniser ◽  
Andrei Borşa
Keyword(s):  
Panel Data Analysis ◽  
State Intervention ◽  
Full Description ◽  
Data Sets ◽  
Continuous Increase ◽  
Technological Performance ◽  
Technical Performance ◽  
Partial Autocorrelation Function ◽  
Governmental Intervention

The governments’ intervention in the economy impacts technological performance and sustainability. This role has become even more critical due to the COVID-19 situation and in the context of the continuous increase in resource consumption, which requires finding alternative solutions. We provide a comprehensive literature review about the state’s economic functions, redistribution of resources in society, and the role of state intervention in sustainability-related issues, giving a full description of the opinions and concepts primarily of economists. We propose to study governments’ interventions in their economy using budgetary resources on public expenditure, highlighting the leading factors in government policies using a suggested intervention index. The state’s intervention policy’s stability is measured via the intervention index’s partial autocorrelation function over the years. We collected data from OECD data sets and conducted a descriptive statistical analysis followed by panel data analysis. Subsequently, two questions are explored about the state’s intervention and its technical performance and technology-related sustainability issues. Results show that economic strength positively affects the intervention. Expenditures on education may lead to better technological outcomes, unlike expenses on health. The tax burden inhibits innovation and technological progress, but total governmental revenues positively affect technological performance.

Participant recruitment and data collection through Facebook: the role of personality factors

2017 ◽  
Author(s):  
Sean Chandler Rife ◽  
Kelly L. Cate ◽  
Michal Kosinski ◽  
David Stillwell
Keyword(s):  
Data Collection ◽  
Social Research ◽  
Personality Factors ◽  
The Internet ◽  
Data Sets ◽  
Social Networking Service ◽  
Participant Recruitment ◽  
Conducting Research ◽  
Promising Avenue

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world’s largest social networking service. If Facebook is to be considered a viable platform for social research, it is necessary to demonstrate that Facebook users are sufficiently heterogeneous and that research conducted through Facebook is likely to produce results that can be generalized to a larger population. The present study examines these questions by comparing demographic and personality data collected over Facebook with data collected through a standalone website, and data collected from college undergraduates at two universities. Results indicate that statistically significant differences exist between Facebook data and the comparison data-sets, but since 80% of analyses exhibited partial η2 < .05, such differences are small or practically nonsignificant in magnitude. We conclude that Facebook is a viable research platform, and that recruiting Facebook users for research purposes is a promising avenue that offers numerous advantages over traditional samples.

Governance in Online Stolen Data Markets

2017 ◽  
Author(s):  
Meltem Odaba¸ ◽  
Thomas J. Holt ◽  
Ronald L. Breiger
Keyword(s):  
Social Structure ◽  
Communication Networks ◽  
State Intervention ◽  
Governance Structure ◽  
Economic Organization ◽  
User Groups ◽  
Underground Economies ◽  
Two Sided Markets

We analyze the governance structure of online stolen data markets. As cybercriminal underground economies, stolen data markets are beyond the reach of state intervention, and yet they need form and regulation in order to function. While the illicit nature of the business brings risks to its participants, the online characteristics of these markets enable the participants to communicate easily, which is a crucial means of generating trust. We first identify stolen data markets in terms of their economic organization as two-sided markets, economic platforms with two distinct user groups that provide each other with network synergies. This characterization enables us to understand the role of the forum administrator as that of an intermediary, market creator, and market regulator. Then we clarify the role of communication networks and social structure in creating trust among buyers and sellers.

Language and identity in East Timor

2008 ◽  
Vol 32 (2) ◽  
pp. 153-180 ◽  
Author(s):  
Kerry Taylor-Leech
Keyword(s):  
Language Policy ◽  
Policy Development ◽  
East Timor ◽  
Language And Identity ◽  
Data Sets ◽  
Structured Interviews ◽  
Student Focus ◽  
Research Findings ◽  
Official Languages

Language choice in the newly independent Republic of East Timor can be usefully examined in the wider context of language policy in multilingual states. The present article reports on ethnographic research investigating official and popular discourses of language and identity in East Timor and the role of past and present language policies and practices in shaping national and social identity. It focuses on the discursive reconstruction of identity through five official instruments of language policy development. Hostile discourses in the Australian and Indonesian press towards the choice of Portuguese (the former colonial language) and Tetum (the endogenous lingua franca) as official languages provided the context for the investigation. A persistent theme in these discourses is that English and/or Indonesian would be preferable choices. The article puts these discourses into perspective by presenting findings from two data sets: (i) the 2004 National Census and (ii) analysis of the discourses of 78 participants in semi-structured interviews and student focus groups. The census shows clear signs of the revival of Portuguese and the reinvigoration of Tetum. It also shows how diverse linguistic identities have become in East Timor. The research findings show that there is less hostility to official language policy than claimed in the Australian and Indonesian press. However, the findings also emphasise the urgent need to reconstruct an inclusive, plurilingual national identity that can encompass diversity.

Centering microbes in the emerging role of integrative biology in understanding environmental change

2021 ◽  
Author(s):  
Ebony I Weems ◽  
Noé U de la Sancha ◽  
Laurel J Anderson ◽  
Carlos Zambrana-Torrelio ◽  
Ronaldo P Ferraris
Keyword(s):  
Infectious Disease ◽  
Gut Microbiome ◽  
Environmental Changes ◽  
Scale Effects ◽  
Environmental Pollutants ◽  
Data Sets ◽  
Integrative Biology ◽  
Concerted Effort ◽  
Ecosystem Disturbance

Synopsis We argue that the current environmental changes stressing the Earth’s biological systems urgently require study from an integrated perspective to reveal unexpected, cross-scale interactions, particularly between microbes and macroscale phenomena. Such interactions are the basis of a mechanistic understanding of the important connections between deforestation and emerging infectious disease, feedback between ecosystem disturbance and the gut microbiome, and the cross-scale effects of environmental pollutants. These kinds of questions can be answered with existing techniques and data, but a concerted effort is necessary to better coordinate studies and data sets from different disciplines to fully leverage their potential.

Iranian Coaches Forgiveness and Relationship Quality to Their Athletes

2021 ◽  
pp. 1-8
Author(s):  
Hassan Gharayagh Zandi ◽  
Sahar Zarei ◽  
Mohammad Ali Besharat ◽  
Davoud Houminiyan sharif abadi ◽  
Ahmad Bagher Zadeh
Keyword(s):  
Relationship Quality ◽  
Structural Equation ◽  
Equation Modeling ◽  
Data Sets ◽  
Mediating Role ◽  
Interpersonal Behaviors ◽  
Key Factor ◽  
The Relationship

Coaching has often been viewed as a context within which coaches operate to largely bring about changes in athlete’s performance and flourishing. One key factor to successful outcomes in coaching is the quality of the relationship between coaches and athletes. The coach–athlete relationship is at the heart of coaching; however, limited studies have been conducted on its antecedents. The aim of this study was to investigate the relationship between coaches’ forgiveness and perceived relationship quality toward their athletes through verifying the mediating role of interpersonal behaviors of coaches. A total of 270 Iranian coaches participated in the survey, and the data sets were analyzed using structural equation modeling. Results revealed that forgiveness positively predicted the coaches’ perceived relationship quality with their athletes, and this pathway was mediated by the coaches’ interpersonal behaviors.

Influence and Information Flow in Online Social Networks

2017 ◽  
Vol 9 (4) ◽  
pp. 1-17
Author(s):  
Afrand Agah ◽  
Mehran Asadi
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Large Data ◽  
Marketing Strategies ◽  
Large Data Sets ◽  
Divide And Conquer ◽  
Data Sets ◽  
Divide And Conquer Algorithm ◽  
Flow Of Information

This article introduces a new method to discover the role of influential people in online social networks and presents an algorithm that recognizes influential users to reach a target in the network, in order to provide a strategic advantage for organizations to direct the scope of their digital marketing strategies. Social links among friends play an important role in dictating their behavior in online social networks, these social links determine the flow of information in form of wall posts via shares, likes, re-tweets, mentions, etc., which determines the influence of a node. This article initially identities the correlated nodes in large data sets using customized divide-and-conquer algorithm and then measures the influence of each of these nodes using a linear function. Furthermore, the empirical results show that users who have the highest influence are those whose total number of friends are closer to the total number of friends of each node divided by the total number of nodes in the network.

scholarly journals Quantitative analysis questions the role of MeCP2 as a global regulator of alternative splicing

2020 ◽  
Author(s):  
Kashyap Chhatbar ◽  
Justyna Cholewa-Waclaw ◽  
Ruth Shah ◽  
Adrian Bird ◽  
Guido Sanguinetti
Keyword(s):  
Alternative Splicing ◽  
Dna Sequences ◽  
Molecular Mechanisms ◽  
Data Sets ◽  
Learning Approaches ◽  
Global Regulator ◽  
Major Function ◽  
Quantitative Analyses ◽  
Different Levels

AbstractMeCP2 is an abundant protein in mature nerve cells, where it binds to DNA sequences containing methylated cytosine. Mutations in the MECP2 gene cause the severe neurological disorder Rett syndrome (RTT), provoking intensive study of the underlying molecular mechanisms. Multiple functions have been proposed, one of which involves a regulatory role in splicing. Here we leverage the recent availability of high-quality transcriptomic data sets to probe quantitatively the potential influence of MeCP2 on alternative splicing. Using a variety of machine learning approaches that can capture both linear and non-linear associations, we show that widely different levels of MeCP2 have a minimal effect on alternative splicing in three different systems. Alternative splicing was also apparently indifferent to developmental changes in DNA methylation levels. Our results suggest that regulation of splicing is not a major function of MeCP2. They also highlight the importance of multi-variate quantitative analyses in the formulation of biological hypotheses.

scholarly journals Capital Structure-Firm Value Nexus: Moderating Role of Profitability

2020 ◽  
Vol 11 (2) ◽  
pp. 375-386
Author(s):  
Hamed Ahmad Almahadin ◽  
Yazan Salameh Oroud
Keyword(s):  
Capital Structure ◽  
Firm Value ◽  
Panel Data Analysis ◽  
Policy Implications ◽  
Ample Evidence ◽  
Functional Models ◽  
The Impact ◽  
The Relationship ◽  
Moderating Role

This study aims to investigate the moderating role of profitability in the relationship between capital structure and firm value in Jordan, as an example of an emerging economy. For this purpose, two functional models were formulated to capture the direct relationship as well as the interaction impact of capital structure on firm value. The robust empirical findings of panel data analysis provide strong evidence of an adverse relationship between capital structure and firm value. The findings confirm that the impact of capital structure appears to be complicated in nature and difficult to examine without controlling for the interaction of profitability as one of the major determinants. Therefore, studying the interaction effect provides ample evidence and enhances the understanding of the link between firm value and capital structure. The empirical results of the study may provide important insights and policy implications to decision-makers.

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