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The aim of the presented research was to explore the links between complementary and supplementary dimensions of Person-Organization fit (P-O fit), organizational identification (OI) and negative (WHI(-)) versus positive (WHI(+)) work-home interactions. It was assumed that both complementary and supplementary P-O fit and OI were positively related to WHI(+) and negatively to WHI(-).The study was conducted on a large sample of Polish blue and white collar workers. The subjects were interviewed by means of questionnaires measuring: supplementary and complementary dimensions of P-O fit, OI and WHI. General work ability and demographic variables were also controlled in the study, and statistical analysis of ANOVA, pairwise comparison as well as regression were performed.P-O fit and OI differentiated the subjects in terms of WHI. For women supplementary fit was a significant predictor of WHI(-) and explained 12

作者:Dorota, Merecz;Aleksandra, Andysz

来源:International journal of occupational medicine and environmental health 2014 年 27卷 1期

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作者:
Dorota, Merecz;Aleksandra, Andysz
来源:
International journal of occupational medicine and environmental health 2014 年 27卷 1期
The aim of the presented research was to explore the links between complementary and supplementary dimensions of Person-Organization fit (P-O fit), organizational identification (OI) and negative (WHI(-)) versus positive (WHI(+)) work-home interactions. It was assumed that both complementary and supplementary P-O fit and OI were positively related to WHI(+) and negatively to WHI(-).The study was conducted on a large sample of Polish blue and white collar workers. The subjects were interviewed by means of questionnaires measuring: supplementary and complementary dimensions of P-O fit, OI and WHI. General work ability and demographic variables were also controlled in the study, and statistical analysis of ANOVA, pairwise comparison as well as regression were performed.P-O fit and OI differentiated the subjects in terms of WHI. For women supplementary fit was a significant predictor of WHI(-) and explained 12