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Transformations in the work–nonwork interface highlight the importance of effectively managing the boundaries between life domains. However, do the ways individuals manage the boundaries between work and nonwork life change from one day to the next? If so, which antecedents may explain these intra-individual fluctuations in boundary management? Drawing on boundary management, spillover, and resource theories, we investigate daily changes in segmentation preferences and integration enactments as a function of experiencing strain in work and nonwork life. Assuming that changes in segmentation preferences reflect an individual’s strategy to regulate negative cross-role spillover, we suppose that strain increases individuals’ segmentation preferences; at the same time, however, it could force individuals to enact more integration.
Veränderung der Aufgaben von Controller durch SSBI – Ergebnisse einer empirischen Untersuchung
(2021)
Digitale Transformation im Reporting: Status quo und Empfehlungen für den gehobenen Mittelstand
(2021)
Relevance and Adoption of AI technologies in German SMEs – Results from Survey-Based Research
(2021)
Die finanziellen Auswirkungen der Ausgliederung der Pflegepersonalkosten aus den DRG-Fallpauschalen
(2021)
Designing a Randomized Trial with an Age Simulation Suit-Representing People with Health Impairments
(2020)
Creation of Liquid‐Air Dispersions in Oil and Water: Comparison of Calculations and Measurements
(2021)
Young but not Naive: Leaders of Tomorrow Expect Limits to Digital Freedom to Preserve Freedom
(2021)
Cybercrime im Mittelstand
(2020)
On the road again: Wie kann die Arbeitsgestaltung zur Arbeitsfreude bei mobiler Arbeit beitragen?
(2020)
Potential Benefits of Enterprise Architecture Management in the Digital Transformation Process
(2020)
WAR FOR TALENTS MEETS FACIAL EXPRESSION - leveraging recruiting videos in professional service firms
(2020)
Adding evidence of the effects of treatments into relevant Wikipedia pages: a randomised trial
(2020)
Brennpunkt Digitalisierung
(2019)
Strategic IT management
(2019)
Dementia is one of the most frequent diseases of people aged 65 and older. As a result of the upcoming demographic transition, a significant increase is expected to the current number of around 1.7 million dementia patients. A precise estimate of this increase is especially important for decision-makers and payers to the health-care system. This study examined the effects of different assumptions on the future frequency of disease using a time-discrete Markov model with population-related and disease-specific components. Based on health insurers' administrative data from AOK Baden-Württemberg, we determined age- and gender-specific prevalence rates, incidence rates, and mortality differences of dementia patients and combined them with demographic components from German population statistics. As a result, our Markov model showed a 20 to 25% higher number of dementia patients in 2030, compared to the results of the status quo projection applied in most previous studies, with the assumption of constant prevalence rates over time. Hence, our results indicate that even in the medium term payers will have to face significant increases in dementia-related health expenditures. By 2060, the number of dementia patients in Germany would rise to 3.3 million assuming a further increase to life expectancy and constant incidence rates over time. The assumption of a compression of the morbidity would reduce this number to 2.6 million.
Das Terminservice- und Versorgungsgesetz – TSVG aus vertragsarztrechtlicher Perspektive (Teil 1)
(2019)