Standardisierungspotentiale lebenszyklusbasierter Modelle des strategischen Kostenmanagements

Tremendous increases in indirect costs can be found in many industries. Consequently, life cycle cost analysis models are getting more important in strategic cost management. However, existing models differ significantly from each other as they have been developed mainly for specific applications. In order to enable a common use of those models, a standardization of these models is required. We examine the potentials of standardizing models for life cycle cost analysis. In a first step, requirements regarding a standard model are derived from literature. As a second step, existing approaches found in literature are compared to the afore derived demands and it is analyzed to what extent they match the standardization requirements. Based on this comparison, we identify and discuss avenues for further research.     

The Dynamics of Research Alliances: Examining the Effect of Alliance Experience and Partner Characteristics on the Speed of Alliance Entry in the Biotech Industry

Few studies have moved beyond the dyadic level of an ongoing alliance and examined factors contributing to the success of entering a series of alliances. In this paper we expect biotechnology firms over time to learn from their alliance experience and to develop general alliance capabilities. Specifically, we expect the speed with which they enter into new research alliances, e.g. their alliance formation rate, to be affected by capabilities built up in prior alliances as well as by characteristics of their partners. We use longitudinal event history data for the complete population of US biotechnology firms for 1973–1999 to test four hypotheses about factors affecting the rate of new alliance formation. Our analysis suggests that the speed of entering research alliances is affected by prior experience of the focal firm, but not by partner characteristics. Our findings provide evidence that biotech firms learn how to learn more effectively from multiple research alliances; however, this effect is generalized and not tied to specific characteristics of the alliance partner.     

Analysis of the importance of on-field covariates in the German Bundesliga

In modern football, various variables as, for example, the distance a team runs or its percentage of ball possession, are collected throughout a match. However, there is a lack of methods to make use of these on-field variables simultaneously and to connect them with the final result of the match. This paper considers data from the German Bundesliga season 2015/2016. The objective is to identify the on-field variables that are connected to the sportive success or failure of the single teams. An extended Bradley–Terry model for football matches is proposed that is able to take into account on-field covariates. Penalty terms are used to reduce the complexity of the model and to find clusters of teams with equal covariate effects. The model identifies the running distance to be the on-field covariate that is most strongly connected to the match outcome.     

The role of acculturative stress and cultural backgrounds in migrants with pathological gambling

The objective of the present study was to differentiate specific migration-related factors that can account for an increased vulnerability to pathological gambling (PG) among migrants in Germany. One hundred and six gamblers (61 migrants, 45 Germans) with varying degrees of gambling problems participated in the study. We analysed (1) differences between migrants and Germans regarding gambling patterns, severity of gambling problems, motivation and craving; influence of (2) acculturative stress; (3) acceptance and popularity of gambling in the culture of origin on gambling problems; (4) differences between migrants and Germans regarding family gambling and peer gambling; and (5) differences in religiosity and its influence on gambling problems. Results suggest no differences between migrants and Germans regarding gambling patterns and the severity of gambling problems. However, findings indicate that migrants have higher motivation and craving to gamble. Findings further suggest that acculturative stress is associated with more severe gambling problems. In contrast, acceptance and popularity of gambling in the country of origin was not a significant predictor of gambling problems. At the same time, family gambling and peer gambling was significantly more prevalent among migrants, constituting an additional risk factor in the present sample. On the other hand, migrants in the sample benefit more often from a protective influence of religiosity.     

Effekte von ?Life-Coaching�� f��r F��hrungskr?fte in einem Gesundheitszentrum

This study evaluates the effects of life-coaching for high-level managers in an approved regeneration-center in Tyrol/Austria. This type of life-coaching consists of four steps, namely to analyze the life-situation, to de-block in case of disorders, to transform realizations into new attitudes and finally to integrate optimized thinking- and behavioral pattern in the daily routine. The effects of life-coaching were evaluated with a sound multimethodical design and the use of a control group. Results show that there is full satisfaction with the effectiveness of the entire treatment, but also there are significant differences between the groups with and without coaching.     

The closer the sportier? Children��s sports activity and their distance to sports facilities

We investigate whether the distance between the next sports facilities and children’s homes matter for their sports activities inside and outside of sports clubs. Our analysis is based on a large and informative cross-section of individual data on children and their families, the so-called German Health Interview and Examination Survey for Children and Adolescents data. We use a semiparametric econometric method to investigate this relationship empirically. Our results suggest that while the distance does not matter in larger towns and cities, it does matter in smaller towns and in particular on the countryside.     

The combination of forecasts in the trading of electricity from renewable energy sources

The legal support provided by the ‘Act on Granting Priority to Renewable Energy Sources’ (German Erneuerbare Energien Gesetz, EEG) and its precursor has in the last 20 years led to a marked growth in Germany in the use of renewable energies to generate electricity. As a result of the EEG amendment adopted in the summer of 2011 and in force since 1 January 2012, the market integration of electricity generated from renewable energy sources (RES-E) has become more important. Consequently, the economic importance of trading RES-E has also increased. A major role in determining costs in trading electricity from wind and solar energy on the wholesale markets plays the forecasting method used. If a forecast inaccurately predicts the amount of electricity actually generated, one result could be elevated costs in the trading process. In the beginning of this article we introduce the legal framework governing the trading of RES-E. Subsequently, we present a method for combining several individual forecasting methods. Finally, using empirical data, we show that in comparison to the best available individual forecast, the proposed combined forecast results in a clear improvement of forecasting quality as well as in a reduction in trading costs.     

Further specification of the leader political skill–leadership effectiveness relationships: Transformational and transactional leader behavior as mediators

The present investigation was a three-source test of the intermediate linkages in the leader political skill–leader effectiveness and follower satisfaction relationships, which examined transformational and transactional (i.e., contingent reward behavior) leader behavior as mediators. Data from 408 leaders (headmasters) and 1429 followers (teachers) of state schools in the western part of Germany participated in this research. The results of mediation analyses, based on bias-corrected bootstrapping confidence intervals, provided support for the hypotheses that political skill predicts both transformational and transactional leader behavior, beyond other established predictors, and that transformational and transactional leader behavior mediate the relationships between leader political skill and leadership effectiveness. The contributions to theory and research, strengths and limitations, directions for future research, and practical implications are discussed.     

Nonlinear structural equation modeling: is partial least squares an alternative?

Nonlinear structural equation modeling provides many advantages over analyses based on manifest variables only. Several approaches for the analysis of latent interaction effects have been developed within the last 15 years, including the partial least squares product indicator approach (PLS-PI), the constrained product indicator approach using the LISREL software (LISREL-PI), and the distribution-analytic latent moderated structural equations approach (LMS) using the Mplus program. An assumed advantage of PLS-PI is that it is able to deal with very large numbers of indicators, while LISREL-PI and LMS have not been investigated under such conditions. In a Monte Carlo study, the performance of LISREL-PI and LMS was compared to PLS-PI results previously reported in Chin et al. (2003) and Goodhue et al. (2007) for identical conditions. The latent interaction model included six indicator variables for the measurement of each latent predictor variable and the latent criterion, and sample size was N=100. The results showed that PLS-PI’s linear and interaction parameter estimates were downward biased, while parameter estimates were unbiased for LISREL-PI and LMS. True standard errors were smallest for PLS-PI, while the power to detect the latent interaction effect was higher for LISREL-PI and LMS. Compared to the symmetric distributions of interaction parameter estimates for LISREL-PI and LMS, PLS-PI showed a distribution that was symmetric for positive values, but included outlying negative estimates. Possible explanations for these findings are discussed.     

Higher Education Policy,Enrollment, and Income Inequality*

Objective. The objective of this article is to examine whether public expenditure on higher education has an effect on income inequality by increasing enrollment. Methods. Combining data from the World Bank Development Indicators with data from the World Income Inequality Database version 2, we study the relation between government education expenditure and enrollment rates, as well as the relation between government education expenditure and the change in income inequality during the 1980s and the 1990s. Results. We find that public expenditure on higher education has no positive effect on enrollment. Increased enrollment is mainly explained by higher GDP per capita. Using carefully selected Gini coefficients to ensure comparability over time, we do not find a robust relation between higher education expenditure and lower income inequality, contrary to some previous studies. Conclusions. Government expenditure on higher education has very limited effects on enrollment and inequality. This finding, however, does not imply that there are no social benefits from such subsidies. For example, in countries where high marginal tax rates decrease the economic returns to education, governments may wish to compensate for this through subsidies.