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PurposeTo identify and analyze the occurrence of Internet financial market risk, data mining technology is combined with deep learning to process and analyze. The market risk management of the Internet is to improve the management level of Internet financial risk, improve the policy of Internet financial supervision and promote the healthy development of Internet finance.Design/methodology/approachIn this exploration, data mining technology is combined with deep learning to mine the Internet financial data, warn the potential risks in the market and provide targeted risk management measures. Therefore, in this article, to improve the application ability of data mining in dealing with Internet financial risk management, the radial basis function (RBF) neural network algorithm optimized by ant colony optimization (ACO) is proposed.FindingsThe results show that the actual error of the ACO optimized RBF neural network is 0.249, which is 0.149 different from the target error, indicating that the optimized algorithm can make the calculation results more accurate. The fitting results of the RBF neural network and ACO optimized RBF neural network for nonlinear function are compared. Compared with the performance of other algorithms, the error of ACO optimized RBF neural network is 0.249, the running time is 2.212 s, and the number of iterations is 36, which is far less than the actual results of the other two algorithms.Originality/valueThe optimized algorithm has a better spatial mapping and generalization ability and can get higher accuracy in short-term training. Therefore, the ACO optimized RBF neural network algorithm designed in this exploration has a high accuracy for the prediction of Internet financial market risk.

Basierend auf unserem Beitrag zum Datenmanagement-Workshop, der im Rahmen der österreichischen Citizen Science-Konferenz 2019 in Obergurgl stattfand, stellen wir in diesem Beitrag eine vergleichende Perspektive auf die Anforderungen an Open Data und an das Datenmanagement im Horizont-2020-Programm der Europäischen Union und die des nationalen Förderers, des österreichischen FWF vor. Wir kommen zu dem Schluss, dass trotz einiger Unterschiede in der Terminologie und den spezifischen Anforderungen, der DMP des FWFs und des Horizon 2020-Programms im Wesentlichen sehr ähnlich sind. ; Based on our input to the Data Management Workshop, held during the Austrian Citizen Science Conference 2019 in Obergurgl, we provide a comparative perspective on the open data and data management requirements in the European Union's Horizon 2020 programme and those of a national funder, the Austrian FWF, in this paper. We conclude that, although there are some differences in terminology and specific requirements, both the FWF and Horizon 2020 DMPs essentially cover the same ground.

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.--

This book contributes to the understanding of Knowledge Governance in the Multinational Corporation. Intra-firm and inter-firm processes of knowledge creation, sharing and exploitation have attracted increasingly managerial and scholarly interest. However the relation between particular knowledge processes, determinants of organizational choices, governance mechanisms, their relevant costs and benefits, and associated strategic advantages remain less well understood. To address these challenges, this book gives answers to the following questions. What are key challenges of governing knowledge in the multinational corporation? How do contingencies influence relavent trade-offs? How do sets of governance mechanisms respond to problems of cognition and incentives?

"December 1992." ; Includes bibliographical references. ; Mode of access: Internet.

AbstractThird sector organizations in the industrialized and the developing world—and particularly the subset of third sector organizations known as development nongovernmental organizations (NGOs)—are becoming more culturally diverse in internal staff composition, management styles, and working environments. Although cultural issues have been largely absent from the nonprofit and the NGO research literatures, the organizational implications of societal culture and organizational culture are widely debated within other research fields. This article proposes a closer engagement between third sector management research and the wider study of cross‐cultural organizational issues within anthropology, development studies, and management theory. It argues that such an exchange is necessary if third sector organizational research agendas are to include changing organizational landscapes effectively, and the article concludes with some ideas for future research.

AbstractThis study examines the relationships between a collaborative climate for research management professionals and external funding at universities. University research management is becoming increasingly important in efforts to develop innovation. By combining data from an original questionnaire survey and a public dataset, this study employed multilevel structural equation modelling. The sample comprised 292 research management professionals at 76 Japanese universities and research institutions. The results indicate that the whole hypothetical model of the two-level structure fitted the data well. At the organisational level, the knowledge-sharing environment had a significant positive relation with external research funding. Supportive supervision was also positively and significantly related to the knowledge-sharing environment at the individual and organisational levels. The findings show that a more collaborative climate for research management professionals can lead to more external funding of the entire university; they provide a new contribution to the theory and practice of university research management.

Presents essential data for 1994 for the leading industrialized nations. Includes a summary essay for each nation.

Effective public policies are needed to manage a nation's natural resources, including soil and water. However, making such policies currently requires a shift from a traditional qualitative approach to a mix of scientific data, evidence and the relevant social elements, termed data-driven policymaking. Nigeria, like most developing countries, falls short of the framework for this approach. Nevertheless, the lack of potable water in some regions and the continuous degradation of farmable lands call for intervention through effective policy formulation and implementation. In this work, we present a conceptual workflow as a strategic step towards developing a framework for a data-driven soil and water resources management policy. A review of the current legal and policy framework and selected scientific literature on soil and water resources in Nigeria is presented. Analysis of the National Water Resources Bill proposed in 2018 is used to highlight existing gaps between policy, scientific data and reality. Modern field techniques and project-based examples for soil and aquifer characterization that can be adapted for local use are presented. While government must take responsibility for the poor policy framework, the research community is challenged on the need for scientific data as a base for effective policy formulation and implementation. ; Peer reviewed

The Tropical Data Hub (TDH) as an e-Research initiative to provide a data hosting infrastructure to congregate significant tropical environmental data sets. Tropical regions support some of the world's most diverse and unique ecosystems. However, these sensitive areas are coming under increased pressures from human activities, which significantly threaten their sustainability into the future. Therefore, a need exists for more informed use of environmental monitoring procedures to help better manage tropical regions. At present data is collected in disjoint repositories and is not visible/accessible for reuse by other lines of enquiry. Without this data being publicised, many opportunities are missed for holistic discovery of major trends that influence tropical ecosystems. The TDH serves as a focal point for amalgamating disparate data sources to facilitate data reuse, integration/searching and knowledge discovery by environmental researchers and government departments. This will provide researchers and planners access to extensive and readily available data that can be used to give a more accurate representation of the state of tropical regions and allow for more suitable environmental management practices to be devised. We present two visualisation tools that model data from the Tropical Data Hub. The first is for assessing land space across Northern Australia and the second is a system to rapidly assess the potential impacts of climate change on global biodiversity.

The contribution to growth of telegraphic- as opposed to rail-speed transmission of financial asset and commodity price data remains unclear. With more certainty we can identify savings in the holdings of real capital—savings made possible by the use of the telegraph at the firm level to implement tight systems of logistical control.