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Aktuellste Veröffentlichungen

Incompletely observed nonparametric factorial designs with repeated measurements: a wild bootstrap approach
(Wiley, 2024-11-23) Amro, Lubna; Konietschke, Frank; Pauly, Markus
In many life science experiments or medical studies, subjects are repeatedly observed and measurements are collected in factorial designs with multivariate data. The analysis of such multivariate data is typically based on multivariate analysis of variance (MANOVA) or mixed models, requiring complete data, and certain assumption on the underlying parametric distribution such as continuity or a specific covariance structure, for example, compound symmetry. However, these methods are usually not applicable when discrete data or even ordered categorical data are present. In such cases, nonparametric rank-based methods that do not require stringent distributional assumptions are the preferred choice. However, in the multivariate case, most rank-based approaches have only been developed for complete observations. It is the aim of this work to develop asymptotic correct procedures that are capable of handling missing values, allowing for singular covariance matrices and are applicable for ordinal or ordered categorical data. This is achieved by applying a wild bootstrap procedure in combination with quadratic form-type test statistics. Beyond proving their asymptotic correctness, extensive simulation studies validate their applicability for small samples. Finally, two real data examples are analyzed.
Issues in inter-organizational data sharing: findings from practice and research challenges
(Elsevier BV, 2024-01-10) Jussen, Ilka; Möller, Frederik; Schweihoff, Julia; Gieß, Anna; Giussani, Giulia; Otto, Boris
Sharing data is highly potent in assisting companies in internal optimization and designing new products and services. While the benefits seem obvious, sharing data is accompanied by a spectrum of concerns ranging from fears of sharing something of value, unawareness of what will happen to the data, or simply a lack of understanding of the short- and mid-term benefits. The article analyzes data sharing in inter-organizational relationships by examining 13 cases in a qualitative interview study and through public data analysis. Given the importance of inter-organizational data sharing as indicated by large research initiatives such as Gaia-X and Catena-X, we explore issues arising in this process and formulate research challenges. We use the theoretical lens of Actor-Network Theory to analyze our data and entangle its constructs with concepts in data sharing.
Wearable IMU-derived kinematic reference profiles of lower-limb kick and wipe gestures for contactless automotive tailgate activation
(MDPI AG, 2026-07-14) Dreveton, János; Labetzsch, Moritz; Gocke, Tim; Bertram, Torsten
Contactless automotive tailgate activation relies on recognizing intentional lower-limb gestures near the rear bumper, yet these systems are developed and evaluated from sensor-specific recordings rather than from the underlying human movement, so quantitative, sensor-independent kinematic reference profiles for these gestures are lacking. This study establishes wearable inertial measurement unit (IMU)-derived reference profiles of two tailgate-activation gestures: a forward kick and a lateral wipe. Lower-body motion was recorded in 56 adult participants using a seven-sensor Xsens Awinda configuration under application-oriented conditions, yielding 6879 segmented movements. To the best of our knowledge, this is among the most extensive of such datasets, providing a sensor-independent, joint- and segment-level movement reference. Both gestures shared a common sagittal structure dominated by knee, ankle, and hip flexion/extension, with mean knee flexion/extension of 45.9° for kick and 42.3° for wipe movements. Wipe gestures differed through markedly larger non-sagittal components, with hip abduction/adduction of 17.2° versus 7.7° and ankle internal/external rotation of 16.6° versus 8.7°, confirmed in every participant (𝑝<0.001). Foot-segment kinematics showed the highest velocities, with a mean resultant foot velocity of approximately 1.8m/s. These profiles provide a quantitative biomechanical basis for benchmarking gesture-recognition sensor systems, informing detection-window and threshold selection, and enabling standardized, repeatable testing of contactless automotive HMI systems.
Is it contagious? The effect of fear of failure on employee satisfaction
(Elsevier BV, 2024-11-21) Rössig, Sarah-Alena; Schmidt, Corinna Vera Hedwig; Schrewentigges, Lisa; Strese, Steffen
Fear of failure is a negative emotion among entrepreneurs at all stages of the entrepreneurial journey. However, prior research focuses on entrepreneurs in the aspiration stage or individual-level outcomes. Drawing on emotional contagion theory, we suggest that entrepreneurs’ fear of failure is transmitted to their employees, influencing their work experience. We use an exploratory mixed-method design combining survey and secondary data for the quantitative analysis (study I) and conducted interviews with entrepreneurs for the qualitative analysis (study II). We find that the entrepreneur’s fear of failure is negatively related to employee satisfaction. A context characterized by low participativeness in strategic decision-making or an entrepreneur’s low internal locus of control strengthens the negative relationship. Our research sheds light on the emotional contagion processes in entrepreneurship and extends the theory of emotional contagion by introducing participative strategic decision-making as a team environment and entrepreneurs’ locus of control as an individual trait.
Large housing estates in Germany’s major cities: a last bastion of affordable housing?
(2026-07-20) Siedentop, Stefan; Schartmann, Maximilian; Münster, Melissa
The affordable housing crisis in many major German cities has sparked a new wave of suburbanization. In thriving cities such as Berlin, Cologne, Munich, Frankfurt, and Hamburg, rental prices in central locations have reached unprecedented highs. Amid this situation, large housing estates (LHEs) built between the 1950s and 1980s on city outskirts are often regarded as the last strongholds of affordable housing. The sharp rise in housing prices within Germany’s major cities has reshaped the traditional perception of these residential areas as centers of social disadvantage and conflict. Nevertheless, rents within these LHEs have also been increasing over the years due to neoliberal policies promoting financialization and privatization. In this context, this article analyzes rent levels in LHEs across major German cities and compares them to the average rents within their respective urban areas. Using a geodata‐based methodology, we first identify LHEs that were built between 1949 and 1990 and that meet a minimum threshold of 1,000 inhabitants. Our study covers all German cities with populations exceeding 100,000 residents. Subsequently, fine‐grained raster data from the 2022 census is employed to calculate average rent levels at settlement scale. Our analysis revealed statistically significant differences between the average rent levels in LHEs and the overall citywide average. The article concludes with reflections on strategies to preserve affordable housing in the affected urban areas.