E-Coaching: Prozess- und Ergebnisevaluation des„Virtuellen Zielerreichungscoachings“

The authors present the design and first results of an ongoing research project. The main emphasis of the research lies on observable and mental processes of the coach and the coachee in and between coaching sessions as well as for the coachee after the coaching. The research is based on a particular e-coaching format named “virtual goal attainment coaching”, consisting of telephone-based coaching sessions combined with by internet mediated questions that the coachee answers with support of the coach. The ambition of this particular type of coaching, since based on empirical findings of coaching success factors and combined with modern media, is to generate excellent results within a short amount of time. Preliminary findings confirm the efficiency and effectiveness of this blended coaching program.     

Quality splitting in waste incineration due to non-convex production possibilities

Using a real case study of waste incineration, we show a new form of non-convexity in the transformation process of the inputs into the outputs. Its consequence is quality splitting, i.e. the separate use of different input qualities, yielding a better result than a homogeneous mix. For waste incineration plants (WIP), this leads to surprising practical implications for strategies of waste collection and supply, as well as for the control of a WIP. The insights are based on the evaluation of a basic model of waste incineration developed for the case study. Thus, the paper also contributes to production research by modelling waste incineration as a central process for the “reduction” of waste from manufacturing and consumption.     

Termine und Call for Papers 1/2011

Termine und Call for Papers

Termine und Call for Papers 1/2011     

Rescaling the Sanctuary City: Police and Non‐Status Migrants in Ontario,Canada

Canadian cities pledge to provide access to municipal services to non‐status migrants and withhold information identifying non‐status migrants from federal immigration authorities. Despite these promises, local police continue to cooperate with the Canada Border Services Agency, which raises questions about the capacity of cities to honour their promises. An empirical study involved interviews with high‐ranking police officers in eight local jurisdictions in Ontario about police perceptions regarding their role in the enforcement of federal immigration law and their obligations to honour sanctuary‐city policies. The results show that many police officers believe they possess legal authority to report non‐status migrants to federal authorities. We suggest that this belief rests on misconceptions about the relationship between criminal law and immigration law, claims of jurisdictional immunity from municipal government, and distortions of the principles of policing in Canada. Rescaling of sanctuary policies to the provincial level may offer solutions.     

Attitudes of nurses towards 8-h and 12-h shift systems

Abstract

Twelve-hour shift schedules are becoming increasingly popular. The present study was designed to investigate the attitudes of nurses, their priorities with respect to working time and other aspects of the working conditions, and to analyse the conditions leading to a diminished satisfaction with the shift schedule and to aspirations for a change of schedule. Questionnaires were returned by 880 nurses (78% return rate) from 12 hospitals. A total of 65% worked 12-h shifts and 35% worked 8-h shifts. A considerable proportion of both groups showed a low satisfaction with their schedule and a desire to change the schedule (44% of those working 12-h shifts, 47% of those working 8-h shifts). Concerning effects of the shift schedule on work strain, continuity of service, health, family and leisure time, 8-h shifts were rated more favourably, especially by those working these shifts, but also by nurses working 12-h systems, with the exception of effects on leisure time and to some extent also on continuity of service and on family. Effects of the shift schedule on social responsibilities and leisure time activities turned out to be a major moderating variable in both groups with respect to schedule satisfaction and attitudes towards a change of schedule. Apparently neither type of shift system, traditional 12-h shift rosters or rotating 8-h shifts, is very appealing to the nurses. A stronger relationship between social consequences and health state in nurses working 12-h shifts indicates that in this group negative effects on family and leisure time might be due to an increased need for recuperation, which reduces effective leisure time.     

Ans?tze einer Produktionstheorie des Serienanlaufs

Over the last few decades, the number of production ramp-ups has risen substantially due to the increasingly fast pace of both technology and product life cycles. Up to now, however, the growing significance of ramp-ups for companies and their development has not been adequately addressed by business science from a theoretical perspective. We contribute by outlining a research map of production ramp-up from a theoretical perspective and identifying outstanding ramp-up characteristics: the initially lacking control over production quality, advancing experience effects, and the varying intensity of production as the operationalisation of the production ramp-up-policy. Existing models are then being analysed, as to how far they are able to reflect the so-sketched phenomenon of production ramp-up. By subsequently introducing a model of production ramp-up based on elements of these models, this study is to advance the development of a theory of production ramp-up. The proposed model builds upon a dynamisation of Gutenberg??s production model in order to explain the characteristic curve of production ramp-up.     

Less social health insurance, more private supplementary insurance? Empirical evidence from Germany

Based on individual level data from Germany, we analyze the effect of changes in the compulsory benefit package of the social health insurance on the demand for supplementary private insurance, employing a difference-in-differences approach. The focus is on the exclusion of dental prostheses from the benefit package in 1997 and its re-inclusion in 1999. Individuals born prior to 1979 serve as control group because only the young were affected by the reform. No significant effect on the demand for supplementary health insurance is found. Thus, the notion of clients making informed choices about their health insurances’ coverage is not supported.     

Financial Health Economics

We provide a theoretical and empirical analysis of the link between financial and real health care markets. This link is important as financial returns drive investment in medical research and development (R&D), which, in turn, affects real spending growth. We document a “medical innovation premium” of 4–6% annually for equity returns of firms in the health care sector. We interpret this premium as compensating investors for government‐induced profit risk, and we provide supportive evidence for this hypothesis through company filings and abnormal return patterns surrounding threats of government intervention. We quantify the implications of the premium for the growth in real health care spending by calibrating our model to match historical trends, predicting the share of gross domestic product (GDP) devoted to health care to be 32% in the long run. Policies that had removed government risk would have led to more than a doubling of medical R&D and would have increased the current share of health care spending by more than 3% of GDP.     

Sparse regression techniques in low-dimensional survival data settings

In high-dimensional data settings, sparse model fits are desired, which can be obtained through shrinkage or boosting techniques. We investigate classical shrinkage techniques such as the lasso, which is theoretically known to be biased, new techniques that address this problem, such as elastic net and SCAD, and boosting technique CoxBoost and extensions of it, which allow to incorporate additional structure. To examine, whether these methods, that are designed for or frequently used in high-dimensional survival data analysis, provide sensible results in low-dimensional data settings as well, we consider the well known GBSG breast cancer data. In detail, we study the bias, stability and sparseness of these model fitting techniques via comparison to the maximum likelihood estimate and resampling, and their prediction performance via prediction error curve estimates.