The Significance of Computer Science Issues in Research Papers Published in the Field of Economics

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Vydáno v:International Conference on Intellectual Capital and Knowledge Management and Organisational Learning (Oct 2020), p. 255
Hlavní autor: Lula, Paweł
Další autoři: Cieraszewska, Urszula, Hamerska, Monika
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Academic Conferences International Limited
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Popis
Abstrakt:The approach that knowledge can be divided into subordinate fields of discipline was already evident in ancient Greek philosophy. Currently interdisciplinarity is one of the basic measures for assessing research work. It was influenced by institutional changes and competitive in financing and research evaluation. The growing complexity of large projects has increased teamwork, combining the efforts of many scientists with experience in various fields. All modern attempts to organize and classify sciences as a starting point take the assumption of the unity of science as a specific type of cognition from which its varieties emerge. Therefore, an attempt was made at work to analysis of issues related to computer science in research papers in the field of economics is the main goal of the paper. The authors are going to analyse abstracts of research papers related to the field of economics and published by authors from 36 European countries and registered in Scopus database in the period 2011-2020. The main steps of the research are the following: preparation of a data set with abstracts of papers published by European authors in the field of economics in the period 2011-2020, identification of concepts appearing in abstracts and related to economics, identification of concepts appearing in abstracts and related to computer science, building a model of relationships between concepts belonging to these two areas of science, analysis of contribution of computer science issues in research papers from the field of economics. The ontology-based approach will be used for identification of concepts related to computer science and economics. The JEL classification system {Journal of Economics Literature, b.d.) and CSO ontology {Computer Science Ontology, b.d.) will be used for carrying out this step of the analysis. The description of relationships between computer science and economics issues will be based on bipartite graph model and ecological modelling. All analysis will be performed with the use of programs prepared by authors in R language.
DOI:10.34190/IKM.20.082
Zdroj:ABI/INFORM Global