2024-03-28T18:06:10Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1343882024-03-13T09:52:58Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
2017-09-05T11:01:46Z
urn:hdl:10366/134388
Unsupervised neural models for country and political risk analysis
Herrero Cosío, Álvaro
Corchado Rodríguez, Emilio Santiago
Jiménez Palmero, Alfredo
Computer Science
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyze levels of country, business and political risk. Its main goal is to help business decision-makers understand the dynamics within the emerging market countries in which they operate. Most of the neural models applied in this study are defined within the framework of unsupervised learning. They are based on Exploratory Projection Pursuit, Topology Preserving Maps and Curvilinear Component Analysis. Two interesting real data sets are analyzed to empirically probe the robustness of these models. The first case study describes information from a significant sample of Spanish multinational enterprises (MNEs). It analyses data pertaining to such aspects as decisions over the location of subsidiary enterprises in various regions across the world, the importance accorded to such decisions and the driving forces behind them. Through a projection-based analysis, this study reveals a range of different reasons underlying the internationalization strategies of Spanish MNEs and the different goals they pursue. It may be concluded that projection connectionist techniques are of immense assistance in the process of identifying the internationalization strategies of Spanish MNEs, their underlying motives and the goals they pursue. The second case study covers several risk categories that include task policy, security, and political stability among others, and it tracks the scores of different countries all over the world. Interesting conclusions are drawn from the application of several business intelligence solutions based on neural projection models, which support data analysis in the context of country and political risk analysis.
2017-09-05T11:01:46Z
2017-09-05T11:01:46Z
2011
info:eu-repo/semantics/article
Expert Systems with Applications. Elsevier BV.
0957-4174 (Print)
http://hdl.handle.net/10366/134388
en
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 Unported
Elsevier BV