Eldorado - Repositorium der TU Dortmund

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Bei diesem Service handelt es sich um das Institutionelle Repositorium der Technischen Universität Dortmund. Hier werden Ressourcen aus und für Lehre, Studium und Forschung gespeichert, erschlossen und der Öffentlichkeit zugänglich gemacht.

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Aktuellste Veröffentlichungen

Determinants of peer review acceptance: motivational insights from German academia
(2024-10-09) Lauer, Sabine; Wilkesmann, Uwe
This article examines how motivation affects peer review acceptance of journal manuscripts among German professors of biology, business administration, mechanical engineering, and sociology. Data collected via an online survey (March–May 2022) tested hypotheses based on self-determination theory. The results show significant discipline-specific differences. In the soft disciplines, intrinsic motivation, own manuscript submissions (reciprocity), and external motivation positively influenced peer review acceptance, while the motive to discover something new had a negative effect. In the hard disciplines, only sense of obligation to the scientific community was significant. Staff support positively influenced peer review acceptance in soft disciplines. The control variables revealed that the total number of peer review requests was positively related to acceptance. However, age, gender, departmental budget linked to publications, and academic discipline were not significant factors. These findings deepen our understanding of motivational factors in peer review and highlight important disciplinary differences.
What can urban transport policy achieve?
(Elsevier BV, 2024-01-17) Wachter, Isabelle; Holz-Rau, Christian; Heinen, Eva
Most case and comparative studies discuss urban characteristics that can hardly be influenced by urban transport policies. However, these studies do not quantify the impact of the so-called contextual factors on car ownership and car use. This paper focuses on these contextual factors and their associations with car ownership and car use. Regression models show that contextual factors - such as city size, the share of households with children and the jobs-housing balance - explain a substantial part of the variance in car ownership and car trips in 44 German cities. Residual analyses reveal that neglecting contextual factors leads to biases in comparative studies and consequently in the evaluation of urban transport policies. Thus, there is a risk that cities with favourable contextual factors may be mistakenly viewed as successful examples of transport policy, whereas successful policies in cities with less favourable contextual factors may be overlooked.
Self‐transcendent leadership: a meta‐perspective
(Wiley, 2024-02-23) Theissen, Maximilian H.; Theissen, Hubertus H.; Gümüsay, Ali A.
Self-transcendence as a concept is increasingly found in leadership literature—yet in diverse ways. It is this diversity that serves as the motivation for the current article in which we develop a comprehensive and coherent conceptualization of self-transcendence for leadership research. We demonstrate that self-transcendence is the cognitive orientation of accepting something other than one's self to be of highest worth. We show that this something, which is greater than the self, may take four different forms: other people, social collectives, moral principles and ideals, or metaphysical beings. We contribute to leadership research by linking each greater something to one theory: servant, transformational, moral, and spiritual leadership. Our conceptualization of self-transcendence allows us to integrate different leadership theories into a meta-perspective of self-transcendent leadership. We conclude with implications for leadership research as well as practice.
Der Beobachter der Beobachter
(2026) Bigl, Benjamin
Sample size calculation under nonproportional hazards using average hazard ratios
(Wiley, 2024-08-12) Dormuth, Ina; Pauly, Markus; Rauch, Geraldine; Herrmann, Carolin
Many clinical trials assess time-to-event endpoints. To describe the difference between groups in terms of time to event, we often employ hazard ratios. However, the hazard ratio is only informative in the case of proportional hazards (PHs) over time. There exist many other effect measures that do not require PHs. One of them is the average hazard ratio (AHR). Its core idea is to utilize a time-dependent weighting function that accounts for time variation. Though propagated in methodological research papers, the AHR is rarely used in practice. To facilitate its application, we unfold approaches for sample size calculation of an AHR test. We assess the reliability of the sample size calculation by extensive simulation studies covering various survival and censoring distributions with proportional as well as nonproportional hazards (N-PHs). The findings suggest that a simulation-based sample size calculation approach can be useful for designing clinical trials with N-PHs. Using the AHR can result in increased statistical power to detect differences between groups with more efficient sample sizes.