The state and evolution of Gold open access: a country and discipline level analysis

2018 ◽  
Vol 70 (5) ◽  
pp. 573-584 ◽  
Author(s):  
Xianwen Wang ◽  
Yunxue Cui ◽  
Shenmeng Xu ◽  
Zhigang Hu
Keyword(s):  
Open Access ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Absolute Number ◽  
Content Type ◽  
Large Scale Data ◽  
Subject Categories ◽  
Health Related ◽  
First Time ◽  
Gold Open Access

Purpose The purpose of this paper is to investigate the evolution of Gold open access (OA) rates in different countries and disciplines, as well as explore the influencing factors. Design/methodology/approach In this study, employing the OA filter option of Web of Science (WoS), the authors perform a large-scale evaluation of the OA state of countries and disciplines from 1990 to 2016. Particularly, the authors consider not only the absolute number of Gold OA literature but also the ratio of them among all literature. Findings Currently, one-quarter of the WoS articles is Gold OA articles. Brazil is the most active country in OA publishing, while Russia, India and China have the lowest OA ratios. The OA percentage of Brazil has been decreasing dramatically in recent years, while the OA percentages of China, UK and the Netherlands have been increasing. There also exist huge differences of OA percentages across different subject categories. The percentages of OA articles in biology, life, and health-related areas are high, while those in physics and chemistry-related subject categories are very low. Originality/value With the availability of large-scale data from WoS, this study conducts a comprehensive evaluation of the Gold OA state of major countries for the first time. The variation of OA percentages is considered in light of the research profiles. OA policies in different countries and funding organizations also have an influence on the OA development.

The cultural dividend: a hidden source of economic growth in emerging countries

2017 ◽  
Vol 24 (4) ◽  
pp. 590-616 ◽  
Author(s):  
Shaomin Li ◽  
Seung Ho Park ◽  
David Duden Selover
Keyword(s):  
Economic Growth ◽  
Labor Productivity ◽  
Productivity Growth ◽  
Large Scale ◽  
Cultural Factors ◽  
Content Type ◽  
Economic Productivity ◽  
Large Scale Data ◽  
Productivity Gains

Purpose The purpose of this paper is to develop the theoretical linkage between culture and economic growth and empirically test the relationship by measuring culture and how it affects labor productivity. Design/methodology/approach This study uses a cross-section study of developing countries and regresses economic productivity growth on a set of control variables and cultural factors. Findings It is found that three cultural factors, economic attitudes, political attitudes, and attitudes towards the family, affect economic productivity growth. Originality/value Many economists ignore culture as a factor in economic growth, either because they discount the value of culture or because they have no simple way to quantify culture, resulting in the role of culture being under-researched. The study is the first to extensively examine the role of culture in productivity growth using large-scale data sources. The authors show that culture plays an important role in productivity gains across countries, contributing to the study of the effects of culture on economic development, and that culture can be empirically measured and linked to an activity that directly affects the economic growth – labor productivity.

Conflict resolution practice in public procurement: evidence from Russia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuliya Rodionova
Keyword(s):  
Conflict Resolution ◽  
Large Scale ◽  
Public Procurement ◽  
Content Type ◽  
Conflict Situations ◽  
Judicial Proceedings ◽  
Survey Results ◽  
Conflict Handling ◽  
Informal Relations ◽  
First Time

Purpose This paper aims to analyze conflict resolution practice in public procurement. The specific feature of this sphere is the presence of the state and the resulting differences in assessing the chances of protecting one’s interests in court, as well as the effectiveness of judicial conflict resolution mechanisms. Design/methodology/approach This paper is based on the findings of a large-scale survey of suppliers conducted in 2017. To identify the characteristics of suppliers that use different conflict resolution mechanisms, probit-models were evaluated. For robustness check, combined mechanisms for resolving conflict situations were also considered and multi-nomial logistic regression was used. Findings The survey results showed that the majority of suppliers prefer to resolve conflicts in public procurement using an out-of-court negotiation with procurers while only 31% of respondents resort to judicial proceedings. At the same time, suppliers potentially involved in informal relations with procurers, are less likely to go to court and less often use negotiations. Practical implications The results of the study can be used as a justification for the development of a regulatory and organizational framework for the use of negotiations, mediation, arbitration and other alternate methods of conflict resolution in public procurement. Originality/value This paper makes an important contribution to the conflict-handling strategies of businesses and government by presenting for the first time a quantitative assessment of the prevalence of mechanisms for resolving conflicts in public procurement and factors influencing the choice of a conflict resolution mechanism.

Environment and technology dominate the WEF agenda

2017 ◽  
Keyword(s):  
Climate Change ◽  
Large Scale ◽  
The United States ◽  
Extreme Weather Events ◽  
Content Type ◽  
Mitigation And Adaptation ◽  
The People ◽  
Impact Risk ◽  
Trade Deals ◽  
First Time

Significance For the first time in the eleven-year history of the survey, no economic risk makes the list of the top five most likely or biggest impact risks. In contrast, large-scale terrorist attacks make the top five most likely risks for the first time and weapons of mass destruction are cited as the highest impact risk. All five environment-related risks are ranked among the top ten highest impact risks for the first time -- four in the top five: extreme weather events; water crises; major natural disasters; and failure of climate change mitigation and adaptation. The survey cites strengthening global cooperation systems as a top five challenge, and says these environmental risks will be exacerbated if cooperation diminishes. Impacts Nearly a third of respondents think that increasing polarisation will be an underlying trend over the next ten years. More must be done to include the people left behind by technological change -- more than 4 billion lack internet access. The United States may withdraw from the Paris climate change agreement, and a number of free trade deals are at risk.

scholarly journals Pangenome analysis of the soil-borne fungal phytopathogen Rhizoctonia solani and development of a comprehensive web resource: RsolaniDB

2020 ◽  
Author(s):  
A. Kaushik ◽  
D.P. Roberts ◽  
A. Ramaprasad ◽  
S. Mfarrej ◽  
Mridul Nair ◽  
...  
Keyword(s):  
Rhizoctonia Solani ◽  
Large Scale ◽  
Functional Enrichment ◽  
Web Resource ◽  
Basidiomycetous Fungus ◽  
Large Scale Data ◽  
Collective Group ◽  
Fungal Phytopathogen ◽  
First Time ◽  
Scale Data

AbstractRhizoctonia solani is a collective group of genetically and pathologically diverse basidiomycetous fungus that damages economically important crops. Its isolates are classified into 13 Anastomosis Groups (AGs) and subgroups having distinctive morphology and host range. The genetic factors driving the unique features of R. solani pathology are not well characterized due to the limited availability of its annotated genomes. Therefore, we performed genome sequencing, assembly, annotation and functional analysis of 12 R. solani isolates covering 7 AGs and selected subgroups (AG1-IA, AG1-IB, AG1-IC, AG2-2IIIB, AG3-PT (isolates Rhs 1AP and the hypovirulent Rhs1A1), AG3-TB, AG4-HG-I (isolates Rs23 and R118-11), AG5, AG6, and AG8), in which six genomes are reported for the first time, wherein we discovered unique and shared secretomes, CAZymes, and effectors across the AGs. Using a pangenome comparative analysis of 12 R. solani isolates and 15 other basidiomycetes, we also elucidated the molecular factors potentially involved in determining the AG-specific host preference, and the attributes distinguishing them from other Basidiomycetes. Finally, we present the largest repertoire of R. solani genomes and their annotated components as a comprehensive database, viz. RsolaniDB, with tools for large-scale data mining, functional enrichment and sequence analysis not available with other state-of-the-art platforms, to assist mycologists in formulating new hypotheses.

scholarly journals ClinEpiDB: an open-access clinical epidemiology database resource encouraging online exploration of complex studies

2019 ◽  
Vol 3 ◽  
pp. 1661 ◽  
Author(s):  
Emmanuel Ruhamyankaka ◽  
Brian P. Brunk ◽  
Grant Dorsey ◽  
Omar S. Harb ◽  
Danica A. Helb ◽  
...  
Keyword(s):  
Open Access ◽  
Large Scale ◽  
Clinical Epidemiology ◽  
Open Data ◽  
Epidemiologic Studies ◽  
Data Sets ◽  
Large Scale Data ◽  
Barriers To Access ◽  
Online Resource ◽  
Epidemiology Data

The concept of open data has been gaining traction as a mechanism to increase data use, ensure that data are preserved over time, and accelerate discovery. While epidemiology data sets are increasingly deposited in databases and repositories, barriers to access still remain. ClinEpiDB was constructed as an open-access online resource for clinical and epidemiologic studies by leveraging the extensive web toolkit and infrastructure of the Eukaryotic Pathogen Database Resources (EuPathDB; a collection of databases covering 170+ eukaryotic pathogens, relevant related species, and select hosts) combined with a unified semantic web framework. Here we present an intuitive point-and-click website that allows users to visualize and subset data directly in the ClinEpiDB browser and immediately explore potential associations. Supporting study documentation aids contextualization, and data can be downloaded for advanced analyses. By facilitating access and interrogation of high-quality, large-scale data sets, ClinEpiDB aims to spur collaboration and discovery that improves global health.

scholarly journals Right-first-time dyeing: a design of experiments approach for the optimisation of dyeing-processes using hard water

2019 ◽  
Vol 48 (5) ◽  
pp. 449-455
Author(s):  
Saira Faisal ◽  
Aurelio Tronci ◽  
Muhammad Ali ◽  
Erum Bashir ◽  
Long Lin
Keyword(s):  
Predictive Models ◽  
Textile Industry ◽  
Large Scale ◽  
Mineral Content ◽  
Water Hardness ◽  
Hard Water ◽  
Coefficient Of Determination ◽  
Content Type ◽  
Independent Variables ◽  
First Time

Purpose The purpose of this study was to optimise the dyeing conditions to achieve right-first-time dyeing in hard water. Owing to the persistent water scarcity for more than two decades now, the textile industry in Pakistan is forced to rely on high-mineral-content ground water for use in textile wet processing. Furthermore, the limited amount of municipal water that is at the disposal of the textile industry is also high in mineral content. Thus, on the large scale, water hardness has become an acute problem for the textile processor. In particular, in the dyeing process, water hardness is known to have crucial effects. However, to-date, no systematic study has been conducted on this aspect of textile dyeing. Design/methodology/approach In this study, 32 full factorial design was used to optimise the dyeing conditions to achieve right-first-time dyeing in hard water. Thus, cotton fabric was dyed with Red Reactive dye (of dyebath concentration at 5, 10 and 15 g/L) in prepared hard water (of hardness at 10, 40 and 70°dH), respectively. Analysis of variance, coefficient of determination (R2) and p-values for the models were used to evaluate the adequacy of the predictive models. The surface plots of the effects were studied to further examine the interactions of two independent variables. Derringer’s desirability function was used to determine the optimum levels of each variable. Findings Three levels for both independent variables generate second-order polynomial models to predict the colour strength, lightness, red/green, yellow/blue and total colour difference values of dyed cotton. The obtained predictive models point out the considerable influence of both water hardness and dye concentration on right-first-time dyeing. Originality/value Such a finding enabled the dye-mill to produce the correct shade at water hardness of 10°dH and 15 g/L dye concentration, without the need for corrective reprocessing.

Outward direct investment by Chinese state-owned enterprises

2017 ◽  
Vol 27 (3) ◽  
pp. 231-252 ◽  
Author(s):  
Ana Teresa Tavares Lehmann ◽  
Frederick Lehmann
Keyword(s):  
Direct Investment ◽  
Large Scale ◽  
Policy Debate ◽  
Data Set ◽  
Content Type ◽  
Specific Advantage ◽  
Large Scale Data ◽  
International Mergers ◽  
Chinese State ◽  
Interest Payments

Purpose The paper aims to investigate outward foreign direct investment (OFDI) by Chinese state-owned enterprises (SOEs), aiming to unveil whether the Chinese OFDI policy acted as a country-specific advantage (CSA) that has been turned by Chinese firms, particularly SOEs, into a firm-specific advantage (FSA). Design/methodology/approach Using a data set spanning 18 years (1996-2013) on international mergers and acquisitions (IM&As) by Chinese companies (SOEs and private-owned enterprises – POEs) and drawing on extant literature, the paper systematically compares the behavior of Chinese SOEs and POEs, aiming to identify differences in their behavioral patterns that indicate that SOEs have benefitted more from policy-induced advantages than their private counterparts. Findings Among other aspects, significant differences were found regarding the behavior of SOEs vis-à-vis POEs that seem to show that SOEs had greater support from public entities, leading them to close larger deals and purchase more companies/stakes in cash; acquire firms with greater debt (implying higher interest payments); and purchase smaller stakes than POEs (indicating that there are other objectives than control). This lends support to the assumption that Chinese SOEs are “sitting on piles of cash”, and that the availability of capital acted as a CSA that has been transformed into an FSA by the companies involved, notably by SOEs. Research limitations/implications The comprehensive and large-scale data set used includes wholly owned SOEs, leaving out of this research partially owned SOEs. The findings of this paper have implications for the discussion on competitive neutrality and for the academic, managerial and public policy debate. Originality/value To the best of the authors’ knowledge, this is the only study, to date, that shows systematic differences in financing patterns of OFDI (notably via IM&As) by Chinese SOEs and POEs, among other behavioral characteristics of both types of companies when conducting FDI abroad, linking that to CSAs and FSAs induced by CSAs.

Size matters

2014 ◽  
Vol 24 (3) ◽  
pp. 224-237 ◽  
Author(s):  
Valerie Johnson ◽  
Sonia Ranade ◽  
David Thomas
Keyword(s):  
Large Scale ◽  
Cost Savings ◽  
Large Data ◽  
Data Sets ◽  
Content Type ◽  
Large Scale Data ◽  
Archival Record ◽  
Original Record ◽  
Definition Of ◽  
Practical Implications

Purpose – This paper aims to focus on a highly significant yet under-recognised concern: the huge growth in the volume of digital archival information and the implications of this shift for information professionals. Design/methodology/approach – Though data loss and format obsolescence are often considered to be the major threats to digital records, the problem of scale remains under-acknowledged. This paper discusses this issue, and the challenges it brings using a case study of a set of Second World War service records. Findings – TNA’s research has shown that it is possible to digitise large volumes of records to replace paper originals using rigorous procedures. Consequent benefits included being able to link across large data sets so that further records could be released. Practical implications – The authors will discuss whether the technical capability, plus space and cost savings will result in increased pressure to retain, and what this means in creating a feedback-loop of volume. Social implications – The work also has implications in terms of new definitions of the “original” archival record. There has been much debate on challenges to the definition of the archival record in the shift from paper to born-digital. The authors will discuss where this leaves the digitised “original” record. Originality/value – Large volumes of digitised and born-digital records are starting to arrive in records and archive stores, and the implications for retention are far wider than simply digital preservation. By sharing novel research into the practical implications of large-scale data retention, this paper showcases potential issues and some approaches to their management.

scholarly journals Open-access mega-journals

2017 ◽  
Vol 73 (2) ◽  
pp. 263-283 ◽  
Author(s):  
Valerie Spezi ◽  
Simon Wakeling ◽  
Stephen Pinfield ◽  
Claire Creaser ◽  
Jenny Fry ◽  
...  
Keyword(s):  
Open Access ◽  
Peer Review ◽  
Large Scale ◽  
Scholarly Communication ◽  
Academic Community ◽  
Scholarly Publishing ◽  
Content Type ◽  
Academic Literature ◽  
Article Processing Charges ◽  
The Impact

Purpose Open-access mega-journals (OAMJs) represent an increasingly important part of the scholarly communication landscape. OAMJs, such as PLOS ONE, are large scale, broad scope journals that operate an open access business model (normally based on article-processing charges), and which employ a novel form of peer review, focussing on scientific “soundness” and eschewing judgement of novelty or importance. The purpose of this paper is to examine the discourses relating to OAMJs, and their place within scholarly publishing, and considers attitudes towards mega-journals within the academic community. Design/methodology/approach This paper presents a review of the literature of OAMJs structured around four defining characteristics: scale, disciplinary scope, peer review policy, and economic model. The existing scholarly literature was augmented by searches of more informal outputs, such as blogs and e-mail discussion lists, to capture the debate in its entirety. Findings While the academic literature relating specifically to OAMJs is relatively sparse, discussion in other fora is detailed and animated, with debates ranging from the sustainability and ethics of the mega-journal model, to the impact of soundness-only peer review on article quality and discoverability, and the potential for OAMJs to represent a paradigm-shifting development in scholarly publishing. Originality/value This paper represents the first comprehensive review of the mega-journal phenomenon, drawing not only on the published academic literature, but also grey, professional and informal sources. The paper advances a number of ways in which the role of OAMJs in the scholarly communication environment can be conceptualised.

Rating online commodities by considering consumers’ purchasing networks

2014 ◽  
Vol 52 (10) ◽  
pp. 2002-2020 ◽  
Author(s):  
Yongli Li ◽  
Chong Wu ◽  
Peng Luo
Keyword(s):  
Missing Data ◽  
Network Analysis ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Managerial Decision ◽  
Analytic Hierarchy ◽  
Data Set ◽  
Content Type ◽  
Reduction Techniques

Purpose – Rating, as a common way of evaluation, is a significant exercise and plays a major role in managerial decision-making in general and in particular online purchasing. The paper aims to discuss these issues. Design/methodology/approach – This study utilizes the theory of social network analysis (SNA) to make a comprehensive evaluation model for rating commodities. Specifically, the paper shows how to apply the network analysis, how it works and what the advantage is. The paper further presents the new model's properties and validates the model's applicability. The paper finally analyzes the results with respect to various dimensions of a movie rating database and report on the insights generated by the model. Findings – Through the designed comparison analysis and the empirical analysis, the model is showed to be better than the traditional ones such as averaging, analytic hierarchy process (AHP) and several mentioned dimension-reduction techniques (DRTs) in terms of consistency and its ability to deal with the missing data. Practical implications – The new model is solvable in polynomial time and proper for the large-scale data set. Furthermore, this model can also be seen as a data mining method which would be useful to improve insights into customer behavior. Originality/value – The proposed method enables to give comprehensive rating results which can preserve the rankings implied by all the customers’ ratings, adapt to the database with the missing data and cost a low algorithm time and space.

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