The role of corporate entrepreneurship in competitiveness. Data analysis of quantitative. Part 2
Journal Title: Współczesna Gospodarka - Year 2016, Vol 7, Issue 2
Abstract
The article presents conclusions regarding application of Principal Component Analysis to data about to measure the entrepreneurial potential of the company. A method of principal components analysis was used in the research in order to separate significantly correlated variables. The method gives opportunity to replace an input set of correlated features through a low number of non-correlated principal components, which constitute linear rearrangement of variables. Minimisation of the number of variables required to explain a particular variable simplifies interpretation of results. Using basic model formula requires verification what part of total variability is captured and also defining what part of variability would be explained by additional components.
Authors and Affiliations
Aneta Oniszczuk-Jastrząbek
Analysis of artificial intelligence and automation and robotisation of processes as factors influencing structural changes in employment in industrial production
Objective Determining impact which Artificial Intelligence, Robotization and Automation have and will continue to have on the labour market in the processing industry. Method Literature review, statistical data and da...
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