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Wirtschaft, Psychologie und Nachhaltigkeit sind heute enger miteinander verbunden denn je. Die 29. Fachtagung der Gesellschaft für angewandte Wirtschaftspsychologie widmet sich diesem Zusammenspiel und rückt die Frage in den Mittelpunkt, wie ökologische, ökonomische und soziale Transformation so gestaltet werden kann, dass sie von Menschen verstanden, mitgetragen und aktiv mitgestaltet wird.
Die Tagung an der Westfälischen Hochschule in Gelsenkirchen bringt Studierende, Wissenschaftler*innen und Führungskräfte aus der Praxis an einem Ort zusammen, an dem die Erfahrung von Strukturwandel und Fragen der Zukunftsfähigkeit seit Jahrzehnten zum Alltag gehören. Vor diesem Hintergrund bietet die GWPs ein Forum, in dem wissenschaftlich fundierte und empirisch belastbare Erkenntnisse mit praxisnahen Gestaltungsansätzen verbunden werden. Sie steht für angewandte Forschung mit Anspruch an Rigor und Relevanz.
Die in diesem Band versammelten Beiträge machen deutlich, wie vielfältig und zugleich unmittelbar relevant wirtschaftspsychologische Perspektiven für die Nachhaltigkeitstransformation sind. Sie widmen sich Fragen der Arbeitswelt, Gesundheit und Motivation ebenso wie demokratischen Einstellungen und gesellschaftlicher Teilhabe. Sie beleuchten Akzeptanzprozesse in Mobilität, Technologie und Künstlicher Intelligenz, diskutieren Konsumentenverhalten, soziale Verantwortung, Bildungs- und Hochschulentwicklung sowie organisationale Veränderungen. Damit zeigen sie eindrücklich, dass nachhaltige Transformation nicht allein eine technische, politische oder wirtschaftliche Aufgabe ist, sondern in besonderem Maße eine psychologische.
Wir verstehen diese Tagung daher als Einladung zum Dialog: zwischen Disziplinen, zwischen Forschung und Praxis sowie zwischen den unterschiedlichen Handlungsfeldern, in denen Nachhaltigkeit konkret wird und den Akteur*innen, die sie gestalten. Unser Ziel ist es, Orientierungswissen bereitzustellen, konstruktive Perspektiven zu eröffnen und Impulse zu geben, wie wirtschaftspsychologische Erkenntnisse dazu beitragen können, nachhaltige Entwicklungen wirksam, akzeptiert und menschlich zu gestalten.
Wir danken allen Autor*innen für ihre engagierten Beiträge sowie allen Beteiligten, die durch Organisation, Diskussion und Mitwirkung zum Gelingen dieser Tagung beitragen. Wir wünschen Ihnen eine inspirierende Lektüre, erkenntnisreiche Diskussionen und viele Impulse für Forschung, Praxis und Lehre.
Die BIM-Methode basiert auf dem Austausch von Modellen und Objektdaten. Diese entwickeln sich im Laufe des Bauprojektes weiter und dienen vielen Beteiligten als Grundlage für die eigenen Aufgaben. Daher ist ein eindeutiges und verlässliches Datenmanagement die Basis für eine gelungene Zusammenarbeit. Die dabei erzeugten Daten gehen mittlerweile weit über 3D-Modelle hinaus.
Welche Daten, in welcher Detailtiefe zu welchem Zeitpunkt und in welchem Format vorliegen sollen, ist Gegenstand dieses Buches. Die Modelle und Objektattribute werden vorgestellt und, wo es nötig ist, vertiefend beschrieben. Das dazugehörige Datenmanagement wird anschaulich erklärt. Abgerundet wird das Buch mit Tipps zur richtigen Softwareauswahl und einem Quiz zum Test des eigenen Wissenstand. Die zweite Auflage greift dabei aktuelle Entwicklungen (z. B. IFC4.3 und LOIN) auf und erläutert neue Anforderungen und Inhalte der BIM-Objekte.
Hintergrund
Studierende mit Migrationshintergrund berichten häufiger über ein geringeres Zugehörigkeitsgefühl („sense of belonging“), verbunden mit höherem Stress und erhöhter Abbruchneigung. Trotz dieser Relevanz liegen im deutschsprachigen Raum bislang kaum qualitative Untersuchungen zu diesem Thema vor. Ziel der Studie war es, das subjektive Zugehörigkeitserleben von Studierenden mit Migrationshintergrund zu rekonstruieren und dessen Bedeutung für die mentale Gesundheit zu analysieren.
Methodik
Die Untersuchung folgte einem qualitativ-explorativen, Community-basierten Design. An einer Hochschule für angewandte Wissenschaften im Ruhrgebiet wurden 28 Peer-Interviews mit Studierenden mit Migrationshintergrund geführt. Die Auswertung erfolgte mittels strukturierender qualitativer Inhaltsanalyse nach Kuckartz, theoretisch gerahmt durch die Social-identity-Theorie (Social-cure-Ansatz), den „Social Determinants of Health“-Ansatz und das „Study Demands-Resources“-Modell.
Ergebnisse
Zugehörigkeit erwies sich als zentrale Ressource für psychische Gesundheit. Fehlende Zugehörigkeit war mit emotionaler Erschöpfung, Demotivation und psychosomatischen Symptomen assoziiert, während erlebte Zugehörigkeit als Puffer- und Aktivierungsfaktor wirkte. Hochschulische Kommunikationskultur, soziale Dynamiken unter Studierenden sowie strukturelle Ungleichheiten beeinflussten das Zugehörigkeitserleben maßgeblich.
Schlussfolgerung
Zugehörigkeit stellt eine sozial und institutionell gestaltbare Gesundheitsdeterminante dar. Maßnahmen der Gesundheitsförderung sollten strukturelle, soziale und organisationale Bedingungen in den Blick nehmen, die Zugehörigkeit stärken, etwa durch transparente Regeln, wertschätzende Kommunikation und inklusive Lernumgebungen.
Sensory Processing Sensitivity (SPS; Hochsensibilität) ist durch eine erhöhte Empfindlichkeit gegenüber Umweltreizen – sowohl positiven als auch negativen Reizen – gekennzeichnet. Aktuelle Studien identifizieren zwei Facetten des Konstrukts: Vantage-Sensitivität (repräsentiert durch ästhetische Sensitivität) und Vulnerable-Sensitivität (bestehend aus niedriger sensorischer Schwelle und leichter Erregbarkeit) (Pluess & Belsky, 2013; Wyrsch, 2020). Seit der wegweisenden Studie von Aron und Aron (1997) konzentrierte sich der Großteil der empirischen Forschung auf die allgemeinen Merkmale von Hochsensibilität, insbesondere auf die negativen Konsequenzen (Greven et al., 2019). Nur wenige Studien untersuchten die Hochsensibilität im organisatorischen Kontext und berücksichtigten dabei auch die positiven Effekte von Hochsensibilität. Basierend auf dem Job-Characteristics-Modell von Hackman und Oldham (1976) schließen wir diese Forschungslücke, indem wir moderierende Effekte der Hochsensibilität auf die Zusammenhänge zwischen den Arbeitsmerkmalen Autonomie und Aufgabenvielfalt auf die Arbeitszufriedenheit als organisationale Outcome-Variable untersuchen. Wir nehmen positive Korrelationen zwischen Arbeitsmerkmalen und der Arbeitszufriedenheit sowie einen positiven moderierenden Effekt von Hochsensibilität auf diesen Zusammenhang an. Die Ergebnisse unserer Studie (N = 719) bestätigen, dass die Hochsensibilität die Beziehung zwischen Autonomie und Arbeitszufriedenheit positiv moderiert. Gleichzeitig fanden wir jedoch auch negative Zusammenhänge zwischen vulnerabler Sensitivität und Arbeitszufriedenheit. Hinsichtlich der Aufgabenvielfalt konnten moderierende Effekte ausschließlich für die Vantage-Sensitivität festgestellt werden. Die Ergebnisse verdeutlichen, dass sich die Zufriedenheit der Mitarbeitenden und gleichzeitig die Performance des Unternehmens verbessert werden können,n wenn moderne Arbeitsumgebungen Persönlichkeitseigenschaften wie Hochsensibilität im Arbeitsumfeld berücksichtigen.
Human rights violations in global supply chains have been a focus of public discussions for nearly three decades. To address such violations in global supply chains, pressure was put on transnational corporations (TNCs) to use their economic power to prevent such harms from occurring at supplier factories, often located in the Global South. TNCs with well-known brands started to introduce codes of conduct for their suppliers as early as the 1990s. However, this approach was rarely, if ever, addressed or monitored through international or national law. Ensuring socially responsible supply chains was anchored in the voluntary assumption of responsibilities by private corporate actors. The inadequacies of the business-driven soft law approach to improve working conditions at supplier factories and natural resource collection sites drove a shift toward legal regulation. The shift toward national legal regulation consequently established a definitive link between soft and hard international human rights law and national law. The linking of international law to national through human rights due diligence is the focus of this chapter.
This entry discusses the role of sustainability in the law school. It traces the concept of sustainability in law and it argues that, in recent years, ‘Sustainability Law’ has evolved as a new field of law. This view is supported through applying theory on the creation of legal fields. There is an increasing number of regulation (particularly EU Directives) aimed at promoting sustainability and there is a growing number of journal articles as well as law school courses on this issue. There are several longstanding debates in legal modules which already overlap with the three pillars of sustainability (i.e. the economic, environmental and social pillars). Students should be alerted to these links. Finally, the chapter argues that the concept of sustainability should be integrated in modules across the curriculum in law schools as a contribution to UNESCO’s mission to promote Education for Sustainable Development (ESD)
This article discusses the trend towards environmental, social and governance (ESG)-related laws in Germany in the context of Germany’s membership of the European Union (EU). As an EU member state, Germany is subject to a wave of recent directives and regulations that the EU passed as part of its so-called “European Green Deal”. However, Germany also has its own tradition of promoting the goal of sustainability in the law, including company law. The article first distinguishes relevant terminology as some regulations refer to ESG, whereas others to “sustainability”. It then traces the historic development of such laws in German law, including the traditional debate about the interest of the company in German law. This discussion is followed by a case study that critically examines the German Supply Chain Due Diligence Act of 2021 that continues to be subject to heated political discussions. The article demonstrates how ESG has, in recent years, become a compliance issue in Germany that is now a matter of consideration for boards.
Diese Bachelorarbeit erforscht die Einbindung öffentlich zugänglicher künstlicher Intelligenz (KI)-Tools in den Prozess bionischer Innovationen mit dem Ziel, einen sowohl effektiveren als auch einfallsreicheren Ansatz zur Implementierung biologischer Prinzipien in technische Lösungen zu schaffen. Vier Large Language Models – GPT-4.o, Gemini 2.0, Llama 3.3 und Claude 3.5 – werden anhand der Quality, Understandability, Expertise, Safety, and Trust (QUEST)-Methode (basierend auf der Bionikspirale gemäß VDI 6220 Blatt 2) bewertet, wobei Gemini 2.0 die beste Leistung erbringt. In einem prototypischen Versuch wird Gemini 2.0 in Kombination mit NotebookLM und Elicit genutzt, um die Filtrationsmechanismen aquatischer Organismen zu untersuchen. Die Resultate offenbaren, dass KI-Werkzeuge die Effizienz der Literaturrecherche und -analyse steigern und systematisieren. Außerdem werden neuartige Entwürfe für bionische Filtersysteme vorgeschlagen. Die Arbeit hebt die Möglichkeiten von KI-Instrumenten in der Bionik hervor, betont jedoch die zwingende Notwendigkeit menschlichen Fachwissens zur Interpretation, Validierung und Ableitung technischer Konzepte. Grenzen werden durch die eingeschränkte Fähigkeit der KI zur Schaffung biologischer Analogien und das Fehlen standardisierter Schnittstellen bestimmt.
Digitalkompetenz und ein „Growth Mindset“ gelten als begehrte Ressourcen auf der „People Side of Digitization“ – nicht nur im häufig akademisch geprägten Management, sondern auch unter Nachwuchsführungskräften. Wie derartige „Future Skills“ trainiert und vermittelt werden können, wird vor dem Hintergrund des Fachkräftemangels zur Aufgabe von strategischer Bedeutung. Als Hoffnungsträger gelten Weiterbildungsformate. Während Weiterbildung jedoch zur Vervielfältigung von Routinewissen und für Anpassungsqualifizierungen mit dem Ziel der Effizienzsteigerung bewährt ist, sind Möglichkeiten und Grenzen für die Vermittlung von Future Skills weniger erforscht. Vor diesem Hintergrund werden im Rahmen dieses Forschungsberichts Ergebnisse und Erfahrungen aus einer Fallstudie diskutiert. Empirischer Kontext ist die Entwicklung und Evaluation eines Blended-Learning-Weiterbildungsformats „Digitalkompetenz“ für die Zielgruppe Führungskräftenachwuchs. Welche Effekte für Digitalkompetenz sind zu erzielen? Welche Gestaltungsideen kommen in Betracht?
Directed Energy Deposition-Laser (DED-L) enables high-performance coatings through melting and successive powder deposition. Its compositional flexibility suits functionally graded layers that enhance corrosion and wear resistance. This study aimed to improve parameters for producing dense, defect-free, graded Ni- and Fe-based coatings by varying the scanning speed and deposition strategy (monodirectional versus bidirectional, with/without layer rotation), while keeping the power and hatch distance constant. Laser and electron microscopy were used to link parameters to porosity and uniformity. Optimal settings minimized pores, improved interlayer bonding and preserved geometry; inadequate parameters yielded porous, irregular deposits. A bidirectional path with 90° rotation appeared best. Ongoing research activities are needed to assess its properties.
Highlights
What are the main findings?
- Bidirectional samples show fewer pores than samples with monodirectional movement.
- Increasing the scanning speed leads to lower porosity (bidirectional scanning mode with 90°
layer rotation).
- Bidirectional deposition with 90° layer rotation exhibits best quality
What are the implications of the main findings?
- Systematic study of scanning speed and deposition strategy.
- Practical guidance for process improvement of graded metal coatings; properties under evaluation.
- Functionally graded Ni-Fe coatings fabricated by DED-L with tailored microstructures.
The surface of Mercury is highly space weathered, and the products of space weathering are different than on the Moon. Here we simulate the interaction of solar wind ions with the surface of Mercury by implanting low-iron-bearing (∼3 wt% Fe) olivine slices with 4 keV He+ ions both under ambient conditions and at 450 °C during the irradiation. The sample irradiated under ambient conditions shows a ∼140 nm thick partially amorphous layer on top of the grain with high concentrations of bubbles and cavities. However, the sample irradiated at 450 °C has a 110–140 nm thick polycrystalline layer with 1–5 nm sized nanoparticles of metallic iron and no bubbles or cavities. Mg atoms are preferentially sputtered from the ion-damaged layer present on the sample irradiated under ambient conditions, but no difference in composition is seen between the crystalline olivine and the ion-damaged layer in the sample irradiated at 450 °C. In addition, a thin amorphous film deposited on a micro-electromechanical systems–based chip is heated up to 1200 °C in situ inside a transmission electron microscope for a few milliseconds, and it produced nanoparticles of size 5–30 nm. Our results show that solar wind irradiation of low-iron-bearing olivine in the equatorial regions of Mercury will produce nanoparticles of iron whose sizes will be larger than that on the surface of the Moon and that the size will further increase during impacts of dust particles. Solar-wind-implanted He can diffuse out of regolith grains and can be a source of He observed in the exosphere of Mercury.
In supply chain management of port operations querying and visualizing network data often requires complex joins, nested queries and predefined reporting templates, which can hinder exploratory analysis and decision-making. When relational databases become too rigid and cumbersome for transactional processing, we envision an alternative approach using graph data models, provided by transforming entities (e.g. containers, vessels, terminals) into nodes and their relationships (e.g. arrival, loading, handling) into edges. To investigate the potential benefits of transforming relational supply chain data into a graph-based model, we designed and implemented a structured approach that integrated data processing, transformation and performance analysis across both relational and graph databases.
Der Aufsatz untersucht anhand empirischer Daten zu ca. 400 Studierenden wirtschaftsjuristischer Bachelor-Studiengänge an der Westfälischen Hochschule eine Reihe etablierter und neuer Indikatoren für den Studienerfolg. Insbesondere schulnotenbezogene Prädiktoren erweisen sich dabei als nur noch bedingt aussagefähig, andere bekannte (insbes. Motivationslevel) und neue (insbes. Berufsausbildung vor dem Studium) erweisen sich als verlässliche, wenn auch nicht starke Prädiktoren.
We extend the spin-boson model of open quantum systems to the regime of quantum 1/𝑓^𝜂 noise characterized by negative exponents of its spectral distribution. Using the numerically exact time-evolving matrix product operator, we find the dynamic regime diagram, including pseudocoherent dynamics controlled by quantum 1/𝑓^𝜂 noise. We determine the dephasing rate and find for it an empirical formula valid at zero temperature. The bath reorganization energy depends on the infrared bath cutoff frequency, revealing an increased sensitivity of the dephasing on the measurement time of an experiment. Our results apply to a qubit as an elementary building block of a quantum computer and pave the way toward a quantum treatment of low-frequency noise in more complex architectures.
Low pressure capacitively coupled radiofrequency plasmas operated in a mixture of aniline vapor and argon are used for the deposition of thin films on silicon substrates. The influence of the aniline vapor fraction in the gas mixture upon the plasma properties and the characteristics of the deposited thin film is analyzed. Plasmas diagnostics are carried out using mass spectrometry and optical emission spectroscopy and the thin films are characterized by means of Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, and near-edge X-ray absorption fine-structure spectroscopy. Experiments highlight that the use of a low aniline/argon ratio leads to the deposition of an amorphous film whereas high-aniline/argon ratios allow the synthesis of a plasma polymer similar to polyaniline. The properties of such plasmas and the mechanisms involved in the deposition process are discussed in detail.
The design of novel and abundant catalytic materials for electrolysis is crucial for reaching carbon neutrality of the global energy system. A deliberate approach to catalyst design requires both theoretical and experimental knowledge not only of the target reactions but also of the supplementary mechanisms affecting the catalytic activity. In this study, we focus on the interplay of hydrogen mobility and reactivity in the hydrogen evolution reaction catalyst MoS2. We have studied the diffusion of atomic hydrogen and water by means of neutron and X-ray photoelectron spectroscopies combined with classical molecular dynamics simulations. The observed interaction of water with single-crystal MoS2 shows the possibility of intercalation within volume defects, where it can access edge sites of the material. Our surface studies also demonstrate that atomic hydrogen can be inserted into MoS2, where it then occupies various adsorption sites, possibly favoring defect vicinities. The motion of H atoms parallel to the layers of MoS2 is fast with D ≈ 1 × 10−9 m2/s at room temperature and exhibits Brownian diffusion behavior with little dependence on temperature, i.e., with a very low diffusion activation barrier.
In the burgeoning field of quantum computing, the precise design and optimization of quantum pulses are essential for enhancing qubit operation fidelity. This study focuses on refining the pulse engineering techniques for superconducting qubits, employing a detailed analysis of square and Gaussian pulse envelopes under various approximation schemes. We evaluated the effects of coherent errors induced by naive pulse designs. We identified the sources of these errors in the Hamiltonian model’s approximation level. We mitigated these errors through adjustments to the external driving frequency and pulse durations, thus implementing a pulse scheme with stroboscopic error reduction. Our results demonstrate that these refined pulse strategies improve performance and reduce coherent errors. Moreover, the techniques developed herein are applicable across different quantum architectures, such as ion-trap, atomic, and photonic systems.
The exponential growth of chemical literature necessitates the development of automated tools for extracting and curating molecular information from unstructured scientific publications into open-access chemical databases. Current optical chemical structure recognition (OCSR) and named entity recognition solutions operate in isolation, which limits their scalability for comprehensive literature curation. Here we present MARCUS (Molecular Annotation and Recognition for Curating Unravelled Structures), a tool designed for natural product literature curation that integrates COCONUT-aware schema mapping, CIP-based stereochemical validation, and human-in-the-loop structure refinement. This integrated web-based platform combines automated text annotation, multi-engine OCSR, and direct submission capabilities to the COCONUT database. MARCUS employs a fine-tuned GPT-4 model to extract chemical entities and utilises a Human-in-the-loop ensemble approach integrating DECIMER, MolNexTR, and MolScribe for structure recognition. The platform aims to streamline the data extraction workflow from PDF upload to database submission, significantly reducing curation time. MARCUS bridges the gap between unstructured chemical literature and machine-actionable databases, enabling FAIR data principles and facilitating AI-driven chemical discovery. Through open-source code, accessible models, and comprehensive documentation, the web application enhances accessibility and promotes community-driven development. This approach facilitates unrestricted use and encourages the collaborative advancement of automated chemical literature curation tools.
In this work, a numerical tool is presented to simulate the dynamics of insect wing folding by example of the fan folding of the dermapteran hindwing. The scalability of the system is demonstrated by generalising the mechanical behaviour from the small geometry of the wing to a suitable scale for engineering applications, such as deployable structures for space applications. The tool is written in Python and based on the MuJoCo physics engine. Sections of the anal fan are modelled as a bar-and-hinge model with elastic tendons, allowing a high number of design parameters and fast computation. In light of these advantages, the wing folding and unfolding behaviour is investigated with respect to the tendon’s elastic properties and the actuation of the deformation. Bistability is characterised using a single tendon and the entire fan section. Given the upscaled geometry of the analysed section, the required tendon characteristics to transition between the stable states are identified within a reasonable range for technological transfer towards biomimetic structures modelled after the dermapteran hindwing.
Directed energy deposition–electron beam (DED-EB) additive manufacturing is a highly promising process for the fabrication of titanium components, offering high deposition rates and precise process control under vacuum conditions. However, optimizing the deposition characteristics, such as dimensional accuracy, surface quality, and layer uniformity, remains a key challenge, partly due to the complex dynamics of heat input and melt pool behavior. This study examines the influence of electron beam modulation on these deposition characteristics by systematically varying beam deflection parameters, including frequency and pattern, during the wire-based additive manufacturing of titanium. The effects of beam modulation on wire melting, melt pool stability, layer formation, and overall build geometry were thoroughly evaluated. The results demonstrate that carefully controlled electron beam modulation enables significant improvements in deposition stability, surface finish, and control over geometric features, thereby enhancing process reliability and enabling the production of near-net-shape titanium components. Notably, a parameter set consisting of a circular beam deflection at an oscillation frequency of 500Hz and an overfocus setting of + 40 mA effectively minimized surface ripples and waviness, thereby enhancing process stability and yielding defect-free components. These insights contribute to advancing DED-EB as a viable solution for applications where high geometric accuracy and process efficiency are demanded.
Der Beitrag fokussiert eine strategische Zusammenarbeit von Qualitätsmanagement und Hochschuldidaktik zur Förderung der Lehrqualität beim Einsatz externer Lehrender in der wissenschaftlichen Weiterbildung. Die Hochschuldidaktik unterstützt dabei die Hauptprogrammplanenden und trägt von der Mikro- bis zur Makroebene entscheidend zur Planung und Weiterentwicklung von Lehrkonzepten bei. Externe Lehrende werden hierzu in ein umfassendes Supportsystem eingebunden, das neben einem Grundlagenworkshop und Vernetzungsangeboten auch digitale Tools und KI-gestütztes Lernen umfasst, um ihre Lehre bedarfsorientiert zu optimieren. Dabei agieren sie sowohl als Lehrende als auch als Lernende, was ihre didaktischen Fähigkeiten und das Verständnis der Studierendenperspektive vertieft. Das Angebot zielt dabei gleichermaßen auf eine Steigerung der Motivation sowie der Kompetenz der Lehrenden und ist eingebunden in einen Kreislauf zur iterativen Qualitätsentwicklung.
As the student population becomes increasingly heterogeneous, providing effective feedback is crucial for personalized education. However, human feedback is resource-intensive, while large language models can be unreliable. Our method bridges this gap by offering informative, similarity-based feedback on mathematical inputs. In an experiment with 207 students, we found that this approach encourages engagement, facilitates the completion of harder exercises, and reduces quitting after incorrect inputs. Compared to traditional feedback mechanisms that struggle with unforeseen error patterns, our method increases student perseverance and confidence. By balancing reliability, resources, and robustness, our solution meets the diverse needs of contemporary students. With its potential to enhance self-learning and student outcomes, this research contributes to the growing conversation on personalized education and adaptive learning systems.
The relevance of e-learning for higher education has resulted in a wide variety of online self-learning materials over the last decade like pedagogical agents (PA) or learning games. Regardless of this variety, educators wonder whether they can make use of these tools for their goals and if so, which tool to choose and in which context a specific tool performs best. To do so, the collection and analysis of learning data – referred to as Learning Analytics (LA) – is required. Along with digital learning environments the possibilities of applying LA are growing. Often, LA focuses on data that can easily be quantified: drop-out quota, time or grade performance. To facilitate learning in a more procedural sense, a deeper understanding of learners’ behavior in specific contexts with specific exercise designs is desired. This study therefore focuses on usage patterns. Learners’ movements through three different designs of mathematical exercises – (i) plain exercises, (ii) PA supported and (iii) fantasy game design – are analyzed with Markov chains. The results of an experiment with 503 students inform about which design facilitates what kind of learning. While the PA design lets learners enter more partial solutions, the fantasy game design facilitates exercise repetition.
Leaders’ Psychological Costs and Benefits of Servant Leadership: A Conservation of Resources View
(2025)
Servant leadership is widely recognized for its positive effects on followers, but its impact on leaders' mental health remains understudied. This gap is crucial, as servant leadership might place significant demands on leaders' psychological resources, without sufficient social, psychological, or organizational rewards. Drawing on the Conservation of Resources Theory (COR), we investigate how and when servant leadership affects leaders' mental health, viewing its role not only as resource-depleting but also as resource-generating for leaders, depending on the organizational context. Two cross-sectional studies were conducted using leader self-assessments (N = 101; N = 170). Study 1 focused on the relationship between servant leadership, experienced meaningfulness, emotional exhaustion, and flourishing, emphasizing the resource-generating potential of servant leadership. Study 2, examined the moderating effect of the distributive justice climate (DJC) on the link between servant leadership and emotional exhaustion, exploring the possibility of resource depletion under conditions of low organizational fairness. Results. In Study 1, servant leadership was found to mitigate emotional exhaustion by enhancing experienced meaningfulness at work. Moreover, it fostered leaders' flourishing through the same mechanism, suggesting that servant leadership can be a source of leaders’ well-being. Study 2 demonstrated that DJC moderates the servant leadership–emotional exhaustion relationship. Specifically, when DJC is low, servant leaders are more susceptible to emotional exhaustion, indicating that unfair organizational climates can exacerbate the resource-depleting aspects of servant leadership. Servant leadership has the potential to both reduce and exacerbate emotional exhaustion in leaders. While it generates psychological resources like experienced meaningfulness, which enhances well-being, its effectiveness is influenced by the organizational context. In unjust environments, servant leadership's emotional demands may lead to resource depletion. These findings are in line with COR and highlight the complex impact of servant leadership on the well-being of leaders. Limitations remain to issues of causality.
Purpose – To advance women’s entrepreneurship research,scholarsrequire a clearer understanding of how, and where, researchers have applied the field’s critical theoretical frameworks, as well as how extant studies have shaped the development ofthe frameworks and field of women’s entrepreneurship. This paper addresses this gap by conducting an integrative literature review (ILR) of Brush et al.’s (2009) 5 M framework article and proposes a conceptualization of 5 M framework research alongside future research directions for the field of women’s entrepreneurship.
Design/methodology/approach – Our study utilizes an ILR to analyze how researchers have leveraged the 5 M framework and what this reveals about its development and role in women’s entrepreneurship research. We draw on Scopus and Google Scholar databases to present a comprehensive review of all publications (n 5 944) that cite Brush et al.’s (2009) article (from 2009 to 2023), focusing on those works (n 5 87) which base their methodological or theoretical approach on the 5 M framework.
Findings – Our ILR reveals that research using the 5 M framework can be conceptualized as consisting of four different layers: the specific contributions made by such research to the development of the 5 M framework itself; the key themes and mechanisms within women’s entrepreneurship addressed by this research; the methodological approaches applied; and the empirical contexts in which the framework dimensions have been employed.
Research limitations/implications – Our study identifies pertinent literature gapsin women’s entrepreneurship and provides pathways for diversifying theory-building in the field.
Originality/value – We analyze a prominent theoretical framework in the field of women’s entrepreneurship. Our analysis shows not only pathways for future women’s entrepreneurship research but also the status of the field and how researchers deal with existing frameworks, thus highlighting opportunities to go beyond the status quo.
Sustainability communication as an increasingly circumscribable research field grounds in communication, management and marketing concepts. This chapter focuses on communication of sustainability, sustainable consumption and green claiming and discusses the effects of non-transparent sustainability communication and greenwashing. It specifically presents a study on how the suspicion of greenwashing in green advertising affects attitudes towards the ad and the brand, as well as the purchase intention. The affect transfer hypothesis is used as a model to understand advertising effects in this context. Additionally, this study delves into potential influencing factors on suspicion of greenwashing, such as the type of green advertising and the “lifestyle of health and sustainability” (LOHAS). The research question is addressed through a quantitative experimental online survey. The results demonstrate that the suspicion of greenwashing has a negative effect on attitude towards the ad and on attitude towards the brand, as well as on purchase intention. The chapter therefore offers new insights into one of the critical aspects of strategic sustainable communication and lays the groundwork for future research on “washing” (green, pink, rainbow, etc.) and the need for re-framing sustainability in business-consumer discourses.
Rare vascular diseases such as hereditary haemorrhagic telangiectasia (HHT) represent a big challenge in biomedicine: complex pathomechanisms, limited patient material, and fragmented research communities slow down therapeutic progress. We argue that two elements are pivotal to bypass this problem. First, genuine partnership with patients—ranging from biospecimen donation to agenda setting—can unlock critical resources and align research with real-world needs. Second, molecular intersections between HHT and related pathologies call for coordinated, cross-disease programmes rather than isolated efforts. Recent multi-stakeholder gatherings hosted by patient organisations in Germany and elsewhere, such as the Second Scientific Symposium by the German HHT self-help group (Morbus Osler Selbsthilfe e.V.) in May 2025, have shown that when clinicians, basic scientists from different disciplines, and affected families co-design research questions, novel in vitro models can be generated more accurately, and pragmatic clinical trials emerge. Here, we outline actual opportunities for patient-integrated cellular model systems, shared biobanking, and comparative approaches across vascular malformation syndromes. In our opinion, letting informed and well-organised patient communities assemble such meetings opens unique opportunities twofold: on the one hand, the field can finally break out of its disease-specific silos; on the other hand, the development of novel HHT therapies could be accelerated by learning from progress in related pathologies.
Phishing is an increasing threat to the security of end-users, networks, and organizations. Phishing simulations via email are a widespread tool used to measure user awareness, especially in workplace settings. However, current studies focusing on large-scale analysis of phishing simulations often have issues: The phishing simulations were conducted using a small sample size (mostly one or two organizations), or while many emails are sent, the analysis focuses only on specific companies. This study analyzes phishing simulations conducted over three years at 36 organizations with over 68 000 delivered emails. We compare different dimensions of the organizations where these simulations were conducted, such as the economic sector and departments. Furthermore, we evaluate various dimensions of phishing simulation campaigns, such as detection difficulty and the scenario under which the simulation occurs. Our findings indicate significant disparities in the results, such as the industry sector in which the company operates. Moreover, we find substantial differences between the success rates of varying scenarios used for phishing emails.
Hybrid broadcast broadband television (HbbTV) is an evolving technology that connects linear TV with modern HTML5 applications, delivering extras like games, videos, and online shopping. However, its bidirectional transmission functionality raises privacy concerns, as it introduces new tracking methods for TV channels. While previous studies focused on security issues or user awareness of HbbTV privacy challenges, a detailed examination of the tracking and transparency mechanisms of the HbbTV ecosystem is still missing. This study fills this gap by extensively analyzing these features within the European HbbTV ecosystem, and in particular within German-language TV channels. We monitored more than 350 TV channels for over 400 hours, evaluating 1) prevalent HbbTV tracking methods, 2) consent notice prevalence and user interactions, and 3) privacy policy disclosures. Our findings indicate that the HbbTV tracking system operates independently of the Web, consent notices exploit system constraints to influence users, and privacy policies often do not align with actual data practices.
Steuerschulden als Grund für die Versagung oder Entziehung verwaltungsrechtlicher Erlaubnisse
(2025)
Allgemeines Verwaltungsrecht
(2025)
In vertebrates and plants, dsRNA plays crucial roles as PAMP and as a mediator of RNAi. How higher fungi respond to dsRNA is not known. We demonstrate that Magnaporthe oryzae (Mo), a globally significant crop pathogen, internalizes dsRNA across a broad size range of 21 to about 3000 bp. Incubation of fungal conidia with 10 ng/μL dsRNA, regardless of size or sequence, induced aberrant germ tube elongation, revealing a strong sequence-unspecific effect of dsRNA in this fungus. Accordingly, the synthetic dsRNA analogue poly(I:C) and dsRNA of various sizes and sequences elicited canonical fungal stress pathways, including nuclear accumulation of the stress marker mitogen-activated protein kinase Hog1p and production of ROS. Leaf application of dsRNA to the cereal model species Brachypodium distachyon suppressed the progression of leaf blast disease. Notably, the sequence-unspecific effect of dsRNA depends on higher doses, while pure sequence-specific effects were observed at low concentrations of dsRNA ( < 0.03 ng/μL). The protective effects of dsRNA were further enhanced by maintaining a gap of at least seven days between dsRNA application and inoculation, and by stabilising the dsRNA in alginate-chitosan nanoparticles. Overall, our study opens up additional possibilities for the development and use of dsRNA pesticides in agriculture.
In this study, a novel approach was developed to increase the intracellular trehalose concentration in M. brunneum blastospores by uptake from the medium, improving their desiccation tolerance. Briefly, placing the blastospores in a hypotonic environment induced solute excretion, allowing significantly increased trehalose uptake during subsequent trehalose treatment. Conductivity changes and GC–MS analysis revealed that glycerol and lactate excretion is triggered in a hypotonic NaCl solution. After hypotonic + trehalose treatment, intracellular glycerol, lactate, and glucose levels increased, while other desiccation‑protective solutes remained unaffected. A fluorescence‑based single‑cell analysis of membrane stress and death during osmotic desiccation and rehydration showed that membrane stress and cell death were strongly amplified upon rehydration. Trehalose treatment reduced this amplification, while hypotonic + trehalose treatment minimised cell death and prevented a stress response during rehydration, though it increased membrane stress during desiccation. Newly formed germ tubes were identified as critical points of membrane failure during desiccation. Ultimately, the drying survival of blastospores was significantly improved by the hypotonic + trehalose treatment compared to untreated or trehalose‑only‑treated blastospores. In summary, this technique successfully enhanced blastospore desiccation tolerance and could be adapted to load cells with other solutes.
We developed a formulation of long double-stranded RNA (dsRNA) using interpolyelectrolyte complexes (IPECs) composed of the biopolymers chitosan and alginate, in order to protect the dsRNA from biotic and abiotic factors. Our primary objectives were to enhance stability of dsRNA against environmental nucleases and, secondarily, to mitigate the negative charge of the dsRNA, which may promote foliar uptake. Our approach relies on submicron particles with adjustable surface charge being either positive or negative. Following this approach, we obtained a high encapsulation efficiency of 94 %. Subsequently, we investigated the influence of the charge ratio and total polymer content on the size, size distribution and ζ-potential of the IPECs. We discovered that formulating at low polymer concentrations ≤0.05 g/L with charge ratios of ≤0.9 (+/ ) and ≥ 1.25 (+/ ), respectively, produced <100 nm particles. Furthermore, the IPEC formulation protected dsRNA from enzymatic degradation by RNase III and micrococcal nuclease. In addition, we observed outstanding protection of formulated dsRNA from heat degradation. Experiments on Nicotiana benthamiana plants showed that formulated dsRNA offered protection against tobacco mosaic virus. In essence, this formulation demonstrates versatility for the production of IPECs with customizable size, surface charge, and nucleic acid content.

