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Talent scarcity in many parts of the world leads to the necessity to enlarge talent pools in order to provide enough future holders of key positions. Taking the scholarly discussion at the overlap of talent management and current careers literature as a starting point our qualitative empirical research provides insights in talent’s career decisions in an eastern emerging market, India, and a western developed country, Germany. 49 interviews with internationally experienced knowledge-workers were held to find out how to they come to career decisions throughout their career. Special focus was the balancing act of professional and private life sphere. An inductive-deductive approach was used to develop categories in MaxQda. Results show the impact of institutional frame, cultural context, and gender differences. Consequently, a stronger focus on talent’s different life phases with context specific deviations when configuring Talent Management in Multinational Enterprises can be advised.
The interdisciplinary research project TiP.De - Theatre in Dementia Health Care aims at identifying the effects of theatre pedagogy on quality of life of people with dementia in two German nursing homes.
The mixed-methods intervention study measures cognitive impairment, quality of life in daily living and agitation in a pre-post-comparison, as well as emotional reactions during the theatre pedagogical interventions of the participants.
The intervention is expected to have a positive impact on cognitive impairment, quality of life, agitation and relationship between the participants and the assisting nursing home staff. Further data analysis will show correlations between specific items.
The results and the theatre pedagogy concept for people with dementia will be published, so that theatre pedagogues are able to implement the concept in other nursing homes. The nursing situation, communication and work experience of nurses, as well as quality of life of people with dementia are going to be positively affected.
Computer-image processing becomes more and more important in the analysis of data in biological and agricultural research and practice. However, robust image processing is highly de pendent on the histogram analysis algorithms used and the quality of the data being processed. The algorithm presented here aims to improve the accuracy of the classification of image data generated under complex boundary situations and inconsistent lighting conditions. Using the example of the determination of nitrogen content of tomato leaves and the qualitative determination of starch con tent of apples on the basis of color image processing, we showed that the developed algorithm is able to perform a robust classification and represents an improvement to simple histogram analysis.
Despite the wealth of literature on requirements engineering, little is known about engineering very generic, innovative and emerging requirements, such as those for cross-sectional information chains. The IKM health project aims at building information chain reference models for the care of patients with chronic wounds, cancer-related pain and back pain. Our question therefore was how to appropriately capture information and process requirements that are both generally applicable and practically useful. To this end, we started with recommendations from clinical guidelines and put them up for discussion in Delphi surveys and expert interviews. Despite the heterogeneity we encountered in all three methods, it was possible to obtain requirements suitable for building reference models. We evaluated three modelling languages and then chose to write the models in UML (class and activity diagrams). On the basis of the current project results, the pros and cons of our approach are discussed.
This study identifies and evaluates factors for success in innovation work in the Bavarian dairy farming industry. The research is based on an analysis of innovation system theories and a comparison with innovation work in the Dutch dairy sector. Dutch dairy farming is characterized by high productivity and technical efficiency at the farm level. Moreover, important developments in dairy farming have originated in the Netherlands. Therefore, this study delves into the systemic background of the successful innovation work in the Netherlands and makes a comparison with Bavaria. The main result of this study is that innovation work in the Bavarian dairy farming sector is lacking in two respects: end-user (farmer) integration and within-sector cooperation.
Boron dynamics in a peat-based growing medium and its impact on the growth of basil (Abstract)
(2021)
Enhancing the nutritional value of pears through agronomic biofortification with iodine (Abstract)
(2024)
Communication deficits belong to the most frequent errors in patient handovers calling upon specialized training approaches to be implemented. This study aims to harness problem-based learning (PBL) methods in handover education and evaluated the learning process. A digitally enabled PBL course was developed and implemented at Klinikum Osnabrück from which eight nurses participated in the course. They agreed on the stimulating effect of the setting regarding self-directed learning and on the potential to translate the new knowledge and skills into the daily clinical practice. In conclusion, the findings are promising that a digitally enabled PBL course is a suitable learning format for handover education.