Ausbildung von Schlüsselqualifikationen im Fachbereich Wirtschaft

An important goal of the Bologna Process is the improvement of employability. Universities are required to develop courses for the acquisition of key competences. The Department of Business and Management at Bochum University of Applied Sciences has developed an extensive training program for that offers an introduction to the methods “mentoring”, “coaching” and “group dynamics” to the participants. The acquired skills can be put into practise immediately by mentoring new students.     

What is the “right” market orientation for new entrepreneurial ventures?

A general notion in research on entrepreneurial marketing is that new ventures that adopt both strong market orientation and entrepreneurial orientation outperform other firms. The present research provides a more fine-grained analysis of this common wisdom. First, while extant research focuses on responsive market orientation, this research seeks to differentiate responsive from proactive market orientations in young ventures. Second, the study examines the moderating effects of the degree of entrepreneurial orientation on proactive and responsive market orientation’s performance consequences in the context of new ventures since these ventures must understand which orientations are worth pursuing, especially given their resource constraints. The theoretically developed research model is tested using survey data of 259 ventures in operation less than fifteen years from five national cultures in order to detect national dependencies and establish the robustness of the findings. Recommendations concerning which type of market orientation entrepreneurial and less entrepreneurial new ventures should follow are provided.     

Voting for Catholic Candidates: The Evolution of a Stereotype*

Objectives. This article looks at the effects of candidate Catholicism on individual voters, turning the traditional inquiry into voters' religion on its head. Specifically, it hypothesizes that individuals stereotype Catholic candidates based on the voting behavior of Catholics in general, and that these stereotypes help voters make a decision in elections with Catholic candidates. Methods. Using data from the American National Election Studies (ANES), this article argues that citizens hold stereotypes of Catholics based on actual Catholic political behavior—solidly Democratic from the 1950s to the 1970s, but trending Republican starting in the 1980s. It also tests these stereotypes with Gallup data on hypothetical Catholic candidates and analyzes, through election‐day exit polls, the impact on voters of the Catholic conversion of a sitting U.S. Senator. Results. The data analyses strongly support the article's hypothesis, demonstrating that partisan attitudes toward hypothetical Catholic candidates shifted direction as the Catholic electorate shifted. In addition, Senator Sam Brownback's (R‐KS) conversion to Catholicism increased partisan polarization in his support—indicating a conservative shift in perceptions. Conclusions. Candidate religion plays a role in elections. Specifically, voters stereotype candidates based on candidate religion and use this stereotyped information to help them make an electoral decision. This article demonstrates this effect for Catholicism, but other religions should evidence similar impacts.     

A family of methods for statistical disclosure control

Statistical disclosure control (SDC) is a balancing act between mandatory data protection and the comprehensible demand from researchers for access to original data. In this paper, a family of methods is defined to ‘mask’ sensitive variables before data files can be released. In the first step, the variable to be masked is ‘cloned’ (C). Then, the duplicated variable as a whole or just a part of it is ‘suppressed’ (S). The masking procedure's third step ‘imputes’ (I) data for these artificial missings. Then, the original variable can be deleted and its masked substitute has to serve as the basis for the analysis of data. The idea of this general ‘CSI framework’ is to open the wide field of imputation methods for SDC. The method applied in the I-step can make use of available auxiliary variables including the original variable. Different members of this family of methods delivering variance estimators are discussed in some detail. Furthermore, a simulation study analyzes various methods belonging to the family with respect to both, the quality of parameter estimation and privacy protection. Based on the results obtained, recommendations are formulated for different estimation tasks.     

The front end in non-assembled product development: A multiple case study of mineral- and metal firms

We conceptualize the front end in non-assembled product development to be iterative and experiment-based, consisting of three sub-phases: informal start-up, formal idea-study, and formal pre-study. Although some key activities are shared with the front end activities in assembled product development, literature reviews, anticipating requirements of customers’ production processes, analysis of raw materials, anticipation of scale-up problems, and tests in bench-, pilot plant-, and full scale production represent unique activities. In addition, product concepts were frequently developed in parallel, requiring specification of physical, chemical and structural properties. These findings have implications for increasing the success and quality of front end efforts.     

Variability and Uncertainty in Swedish Exposure Factors for Use in Quantitative Exposure Assessments

Information of exposure factors used in quantitative risk assessments has previously been compiled and reported for U.S. and European populations. However, due to the advancement of science and knowledge, these reports are in continuous need of updating with new data. Equally important is the change over time of many exposure factors related to both physiological characteristics and human behavior. Body weight, skin surface, time use, and dietary habits are some of the most obvious examples covered here. A wealth of data is available from literature not primarily gathered for the purpose of risk assessment. Here we review a number of key exposure factors and compare these factors between northern Europe—here represented by Sweden—and the United States. Many previous compilations of exposure factor data focus on interindividual variability and variability between sexes and age groups, while uncertainty is mainly dealt with in a qualitative way. In this article variability is assessed along with uncertainty. As estimates of central tendency and interindividual variability, mean, standard deviation, skewness, kurtosis, and multiple percentiles were calculated, while uncertainty was characterized using 95% confidence intervals for these parameters. The presented statistics are appropriate for use in deterministic analyses using point estimates for each input parameter as well as in probabilistic assessments.     

Deadline for Parenthood: Fertility Postponement and Age Norms in Poland

The postponement of childbearing is occurring across Europe, but the paths of this trend differ profoundly from country to country. In Poland, as in other Central and Eastern European countries, most women have their first child at a relatively young age. This article asks about the role of age norms in sustaining the pattern of early motherhood. We investigate young adults’ perceptions of age in relation to their fertility choices. We find that age is, indeed, a salient dimension that structures and regulates individual childbearing plans. The qualitative approach of our study allows for gaining insights into how age norms are explained, argued about and sanctioned. Finally, we reconstruct the mechanisms of the normative influence of age limits (deadlines) on fertility behaviour, improving our understanding of the timing of childbearing.     

Adaptive Test for Testing the Difference in Survival Distributions

An adaptive test is proposed for the problem of testing the difference in survival distributions when the shape of the hazard ratio is unknown, hence the efficient test is unknown. The proposed adaptive test selects a test statistic from a finite set of the weighted logrank statistics T on the basis of the estimates of the efficiencies of the tests in T for given data. The efficiency estimator uses the length of the test based nonparametric confidence interval for the shift in a time transformed shift model. The suggested adaptive test is shown to be asymptotically efficient among the tests in T under the time transformed shift model and conditions commonly used in survival analysis. Simulations demonstrate that the adaptive test enjoys good small sample properties and in most situations is more powerful than the test using the maximum of the tests in T.