Search results
1 – 10 of 30
Sharmila Jayasingam, Safiah Omar, Norizah Mohd Mustamil, Rosmawani Che Hashim and Raida Abu Bakar
Antje Schwarz, Ayhan Adams and Katrin Golsch
This study analyzes the effects of gender and occupational status differences on parents’ work-to-family conflicts, comparing COVID-19 pandemic and pre-pandemic periods. It is…
Abstract
This study analyzes the effects of gender and occupational status differences on parents’ work-to-family conflicts, comparing COVID-19 pandemic and pre-pandemic periods. It is examined whether this association is mediated by parents’ telework. Theoretically, we use the work/family border theory and flexible resource versus greedy role perspectives to shed light on the gender- and status-related use of telework and illustrate the influence of flexible working practices on parents’ work-to-family conflicts. Using moderated mediation analysis combined with bootstrapping, we analyze data from two waves of the German Family Panel (pairfam), covering pre-pandemic (2017/18, 2019/2020) and pandemic periods (2020) (N = 3,315). Our results show higher work-to-family conflicts for parents with higher occupational status as well as teleworking parents. Furthermore, we find supporting evidence for the mediation from occupational status to work-to-family conflicts via telework, with a slightly stronger relationship among mothers than fathers. Under the consideration of the pandemic, the mediating effect was only provable for mothers but not for fathers. However, the mediating effect of telework does not strengthen under the pandemic conditions. Our findings support the greedy role perspective, in particular for employees with higher-status occupations, and the assumption of a negative influence of work–family integration through telework for work-to-family conflicts.
Details
Keywords
This study examines the educational aspirations of immigrant students, who are descendants of eight different immigrant communities in Germany. First, the article shows that…
Abstract
This study examines the educational aspirations of immigrant students, who are descendants of eight different immigrant communities in Germany. First, the article shows that compared to native German students, the educational aspirations of students with migration origin vary substantially. Challenging previous narratives of immigrant optimism and information deficit, the article suggests that the students of Turkish origin develop a conscious appraisal of obtaining an academic high-school qualification (AHSQ), even if they realize they will not be able to receive one by the end of the high-school. The study also shows that the duration of their stay in Germany plays a significant role in attenuating the high educational aspirations of most immigrant communities. However, Turkish students constitute an exception to this finding as they maintain high idealistic aspirations from first- to third-generation. The return migrant students from the former Soviet Union are the only group who report high educational aspirations, when asked about both their idealistic and realistic aspirations. Finally, the findings indicate that the position of the particular immigrant groups within the German social status hierarchy is a strong determinant of the educational aspirations of immigrant students and their parents.
Details
Keywords
John L. Stanton and Stephen L. Baglione
Product success is contingent on forecasting when a product is needed and how it should be offered. Forecasting accuracy is contingent on the correct forecasting technique. Using…
Abstract
Product success is contingent on forecasting when a product is needed and how it should be offered. Forecasting accuracy is contingent on the correct forecasting technique. Using supermarket data across two product categories, this chapter shows that using a bevy of forecasting methods improves forecasting accuracy. Accuracy is measured by the mean absolute percentage error. The optimal methods for one consumer goods product may be different than for another. The best model varied from sophisticated, most such as autoregressive integrated moving average (ARIMA) and Holt–Winters to a random walk model. Forecasters must be proficient in multiple statistical techniques since the best technique varies within a categories, variety, and product size.
Details