Eldorado - Repositorium der TU Dortmund

Ressourcen aus und für Forschung, Lehre und Studium

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

Modeling digital technology adoption across analytical levels
(2026) Gross, Christina; Lackes, Richard; Liening, Andreas
Digitalization fundamentally reshapes economic and societal structures by transforming how individuals interact, organizations operate, and urban environments evolve. While prior research has generated valuable insights into digital technology adoption, it often remains confined to single levels of analysis. This dissertation addresses this limitation by developing a multilevel socio-technical perspective on digital technology adoption across individual and urban contexts. Building on established theories in Information Systems research, including technology acceptance models, technostress, and trust-based perspectives, the dissertation comprises six interrelated studies. Three studies examine individual-level adoption in the contexts of social network sites, smart home technologies, and wearable fitness trackers. Two studies focus on digital technologies in urban environments, including the design and evaluation of a city app and a data-driven analysis of urban attractiveness. A sixth study provides a methodological contribution by developing a structured decision framework for measurement model specification in Partial Least Squares Structural Equation Modeling (PLS-SEM). Methodologically, the dissertation combines PLS-SEM, multivariate statistical analysis, and artifact evaluation. The findings demonstrate that digital technology adoption is context-dependent and shaped by socio-technical configurations, including cultural factors, perceived value, trust, and contextual conditions. Overall, the dissertation advances a more integrated understanding of digitalization as a multilevel phenomenon and contributes to methodological rigor in empirical Information Systems research.
Die Umsetzung europäischer Nachhaltigkeitsregulierung
(2026) Maiwald, Jonas; Pott, Christiane; Pflitsch, Max
Die Dissertation untersucht, unter welchen Bedingungen europäische Nachhaltigkeitsregulierung über formale Regelkonformität hinaus zu unternehmerischer Umsetzung führt. Ein Drei-Ebenen-Rahmen aus Offenlegung, Kommunikation und Implementierung verbindet drei empirische Beiträge. Zwölf Experteninterviews mit Prüfern zeigen, dass die Prüfung der doppelten Wesentlichkeit nach CSRD/ESRS durch Ermessen, fehlende Schwellenwerte und Datenengpässe begrenzt ist. Eine Textanalyse von 438 Vergütungsberichten nach ARUG II belegt einen deutlich gestiegenen Umfang bei weiterhin schwer verständlicher Sprache. Ein Panel von 120 Unternehmen des STOXX Europe 600 (2022–2024) zeigt, dass ein Frauenanteil im Vorstand ab 30 % mit höherer CapEx- und OpEx-Umsetzung der EU-Taxonomie einhergeht, formale Instrumente wie CSR-Ausschüsse oder ESG-Vergütung dagegen nicht. Die Befunde sind mit der Arbeitshypothese vereinbar, dass Informationspflichten notwendig, aber nicht hinreichend sind.
The ROCK1 PHC1 domain mediates recruitment to Rho activity zones and contractility signaling
(Life Science Alliance, LLC, 2026-10-07) Gierse, Carolin; Vetter, Ingrid R; Schweizer, Donna; Dehmelt, Leif
The spatiotemporal regulation of cell contraction is crucial for numerous biological processes. In particular, local, subcellular contraction pulses in the cell cortex contribute to mechanotransduction and tissue rearrangements during embryonic development. We previously identified a signaling network that generates mechanosensitive contraction pulses in adherent mammalian cells through positive and negative feedback regulation of the small GTPase RhoA. Here, we show that ROCK1 is rapidly recruited to cortical pulsatile Rho activity zones and that efficient recruitment is synergistically mediated by the canonical Rho-binding domain and the C-terminal PHC1 domain. Surprisingly, the isolated ROCK1 PHC1 domain by itself is already sufficient for dynamic recruitment to active Rho signaling zones in cells, and AlphaFold-guided mutagenesis identifies conserved PHC1 residues that are required for this recruitment. Functional investigations show that the PHC1 domain plays an important role in transduction of Rho activity to myosin activation. Together, our data revise models of ROCK1 regulation by identifying a C-terminal PHC1 domain–dependent mechanism that contributes to ROCK1 recruitment and signal transduction during cell contraction pulses.
Torn between realism and guidance in entrepreneurship education
(2026) Wenzel, Anna; Liening, Andreas; Geiger, Jan-Martin
Although experiential entrepreneurship education requires balancing realism and instructional guidance, it remains unclear how these elements should be designed and how concrete design decisions shape individual learning processes. This dissertation examines the design and effects of metaverse-enhanced realism and AI-supported guidance in business simulation games. Drawing on five studies combining Action Design Research, value-added research, and complexity-informed analytics, the findings show that enhanced realism and adaptive guidance do not automatically improve learning processes. Rather, their effects depend on learner characteristics, contextual conditions, and temporal dynamics. Synthesizing these insights, the dissertation develops a Synergetic Model of Experiential Learning Dynamics in Entrepreneurship Education, conceptualizing entrepreneurial learning as a complex, non-linear process emerging from interactions between instructional design, individual learner charactierstics, and context over time.
Essays on expectations and beliefs in labor markets
(2026) Jost, Gregor Bodo; Buchheim, Lukas; Balleer, Almut
This dissertation studies how expectations and beliefs shape labor market behavior and the labor market outcomes that result from this behavior. It focuses on three specific behavioral margins: wage-setting decisions by firms, job application decisions of job seekers, and on-the-job search and job-to-job transition behavior of workers. Across the three chapters, the dissertation combines theoretical models with empirical or experimental analyses that assess central predictions of the models. Chapter 1 studies the pass-through from expected inflation into wage growth in the presence of downward nominal wage rigidity. The chapter develops a model in which firms set wages under uncertainty about future inflation and face constraints on nominal wage cuts. The model shows that downward nominal wage rigidity and inflation uncertainty can reduce the pass-through from expected inflation into wage growth below the level predicted by benchmark wage-setting models. Using survey data from German firms, the chapter provides evidence consistent with the central predictions of the model: the pass-through from expected inflation into expected wage growth is low, decreases with uncertainty about future inflation, and tends to increase with expected long-run inflation. Chapter 2 studies the role of overconfidence in the gender application gap. The chapter develops a model in which job seekers face vacancies that differ in the wages they offer. Overconfidence affects application decisions because it changes perceived hiring chances. The model predicts that gender differences in overconfidence can contribute to gender differences in applications to high-wage vacancies through a direct and an indirect channel. A laboratory experiment provides evidence consistent with the direct mechanism. Chapter 3 studies how present bias affects on-the-job search, job offer acceptance behavior, and wage outcomes. The chapter develops a model in which workers can search for better jobs while employed but face immediate search costs. Present-biased workers search less than time-consistent workers because they overweight current search costs relative to future wage gains. The model also shows that awareness of future present bias affects job offer acceptance behavior. Sophisticated present-biased workers may demand larger wage increases to switch jobs, while naive present-biased workers may accept relatively low offers because they overestimate future search. Descriptive survey evidence is consistent with the predicted differences in acceptance behavior across types.