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PL
Artykuł prezentuje wyniki prac i eksperymentów dotyczących problemu przetwarzania niestrukturyzowanych tekstów napisanych w języku polskim w celu identyfikacji w nich ofert kupna, sprzedaży lub wymiany. W badaniach wykorzystano reguły ekstrakcji przygotowane na podstawie przeprowadzonej analizy korpusu. W artykule omówione są wybrane przykłady reprezentujące trudności, jakie niesie ze sobą omawiany problem. Opracowane podejście zostało poddane eksperymentalnej ocenie, na której podstawie skuteczność identyfikacji ofert została określona na 83% (według miary F1), natomiast określanie typu oferty (czy jest to kupno, czy sprzedaż) działa poprawnie w ponad 95% przypadków.
EN
This article presents the results of research and experimentation on processing unstructured texts written in the Polish language in order to identify which of these texts contain buy, sell or exchange offers. The approach applied was based on manually prepared rules of extraction based on an analysis of a corpus of documents obtained from the Internet (within the Semantic Monitoring of Cyberspace project). In the article, selected examples of text fragments are discussed which show what challenges had to be addressed to solve the problem. The chosen approach was then experimentally evaluated; the accuracy in identifying offers reaching 83% (according to the F1-score), while determining the offer type (whether buying or selling) was correct in over 95% of cases.
EN
Theoretical background: These studies are motivated by three reasons: (1) the Competitive Intelligence (CI) approach is a critical factor in increasing the organization’s ability to monitor and strengthen competitive advantage; (2) too little research has been done on the use of new management theories in the CI approach and (3) there is no research devoted to computer-assisted CI. Purpose of the article: This study proposes a comprehensive framework for extending the CI’s potential in the organization’s activities and its computer-assisted support. The purpose of this article is to develop a new CI construction theory and propose a holistic, conceptual CI model, as well as carry out its initial verification. Research methods: The comprehensive CI model is based on the following theories: (1) Resource-Based View (RBV), Industrial Organization (IO) and Business Model Canvas, which were used for CI design, (2) theories for measuring and validating CI implementation, i.e.: Competitive Profile Matrix (CPM), Industrial Critical Success Factors (ICSF) and (3) theories for integrated computer-assisted CI. The validation of the proposed comprehensive CI model was based on data on the opinions of SUV class users. Main findings: The results obtained during the validation of the CI model show great importance for a comprehensive look at the topic of computer-assisted CI. This contribution is significant because in the literature there are no such studies and conclusions obtained from them. The results obtained and conclusions should be useful for all organizations that need to analyze competitiveness using a comprehensive CI model.
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