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Impact of demographic factors on management competencies of the municipal sport organizations
Author(s) -
Alexandra Tripolitsioti
Publication year - 2016
Publication title -
choregia
Language(s) - English
Resource type - Journals
eISSN - 2241-6323
pISSN - 1791-4027
DOI - 10.4127/ch.2016.0106
Subject(s) - sport management , business , environmental planning , geography , public relations , political science
The purpose of this study was to define the competencies required for the administration of the sports facilities, of the municipal sport organizations and to compare them with selected variables, such as age, educational level, type of degree and years of employment. In the study participated 401 sport’s facilities managers, of the Municipal sport organizations of the country. They answered in a questionnaire designed for the study purposes, which was sent to them postal. The Multivariate Analysis of Variance (MANOVA) between age, educational level, type of degree and years of employment revealed that: a) there were statistically significant differences between the different age groups for the facility management factor (F(3, 397)= 4.947, p< 0.002) and governance factor (F(3, 397)= 3.170, p< 0.024), b) there were statistically significant differences between the PhD holders, the Master holders, the Higher Education graduates or any other title for the event management factor (F(3, 397)= 3.073, p< 0.028) and first aid/crisis management factor (F(3, 397)= 4.311, p< 0.005), c) there were statistically significant differences between the different titles for the first aid-\udcrisis management factor (F(3, 397)= 10.264, p< 0.000) and governance factor (F(3, 397)= 4.104, p< 0.007) and d) there were statistically significant differences between the total years of employment for the first aid-crisis management factor (F(3, 397)= 6.869, p< 0.000) and governance factor (F(3, 397)= 3.779, p< 0.011). It is concluded that the competency factors of the Sport’s Facilities managers of the municipal sport organizations are affected by the age, the educational level, the type of degree and the years of employment.\u

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