Refine
Year of publication
- 2015 (301) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (70)
- Fachbereich Wirtschaftswissenschaften (42)
- IfB - Institut für Bioengineering (40)
- Fachbereich Elektrotechnik und Informationstechnik (36)
- INB - Institut für Nano- und Biotechnologien (36)
- Fachbereich Luft- und Raumfahrttechnik (32)
- Fachbereich Chemie und Biotechnologie (30)
- Fachbereich Bauingenieurwesen (27)
- Fachbereich Maschinenbau und Mechatronik (26)
- Fachbereich Energietechnik (23)
Document Type
- Article (126)
- Conference Proceeding (92)
- Part of a Book (39)
- Book (22)
- Other (7)
- Report (7)
- Doctoral Thesis (5)
- Patent (2)
- Part of a Periodical (1)
Keywords
- Attitude dynamics (1)
- Booster Station (1)
- Carsharing (1)
- Charging stations (1)
- Discrete Optimisation (1)
- Discrete Optimization (1)
- E-carsharing (1)
- E-mobility (1)
- Efficiency (1)
- Electrical vehicle (1)
We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.
For a wide acceptance of E-Mobility, a well-developed charging infrastructure is needed. Conductive charging stations, which are today’s state of the art, are of limited suitability for urbanised areas, since they cause a significant diversification in townscape. Furthermore, they might be destroyed by vandalism. Besides for those urbanistic reasons, inductive charging stations are a much more comfortable alternative, especially in urbanised areas. The usage of conductive charging stations requires more or less bulky charging cables. The handling of those standardised charging cables, especially during poor weather conditions, might cause inconvenience, such as dirty clothing etc. Wireless charging does not require visible and vandalism vulnerable charge sticks. No wired connection between charging station and vehicle is needed, which enable the placement below the surface of parking spaces or other points of interest. Inductive charging seems to be the optimal alternative for E-Mobility, as a high power transfer can be realised with a manageable technical and financial effort. For a well-accepted and working public charging infrastructure in urbanised areas it is essential that the infrastructure fits the vehicles’ needs. Hence, a well-adjusted standardisation of the charging infrastructure is essential. This is carried out by several IEC (International Electrotechnical Commission) and national standardisation committees. To ensure an optimised technical solution for future’s inductive charging infrastructures, several field tests had been carried out and are planned in near future.