dc.creator | Janev, Nemanja | |
dc.creator | Perišić, Martina | |
dc.creator | Krantić, Milan | |
dc.date.accessioned | 2023-09-04T09:03:21Z | |
dc.date.available | 2023-09-04T09:03:21Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-86-6060-131-7 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/6958 | |
dc.description.abstract | In order to be competitive in the market, many companies must, besides product quality, constantly monitor the efficiency of their organization and its employees. Factor analysis can reduce the number of significant areas, by grouping some of them into influential contingent factors that help in monitoring of the situation. Also, for good and reliable planning, it is important to know how the areas are correlated with each other, to which correlation analysis contributes. This paper aims to analyze the data collected from the survey, conducted on a sample of 56 companies operating in Serbia, and to find influential factors. Descriptive statistics and data reliability were first performed and after that by factor analysis the data were divided into groups of influencing factors and then the correlation between the data was examined. The obtained results indicate that it is possible to reduce 20 examined traits to 5 influential factors, and the correlation analysis shows the importance of employee training on level of innovation in processes and products and faster and appropriate reaction to solving and preventive problems. | sr |
dc.language.iso | sr | sr |
dc.publisher | University of Belgrade Faculty of Mechanical Engineering | sr |
dc.rights | openAccess | sr |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | 8th International Conference on Industrial Engineering (SIE 2022), 29-30. September | sr |
dc.subject | Contingency factors | sr |
dc.subject | Descriptive statistics | sr |
dc.subject | Reliability analysis | sr |
dc.subject | Factor analysis | sr |
dc.subject | Correlation analysis | sr |
dc.title | Contigency of employees' training | sr |
dc.type | conferenceObject | sr |
dc.rights.license | BY | sr |
dc.citation.epage | 314 | |
dc.citation.spage | 311 | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/17463/bitstream_17463.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_machinery_6958 | |
dc.type.version | publishedVersion | sr |