TUHH Open Research

Nowadays, consumer-to-consumer communication and its impact on purchase decisions have gained substantial consideration owing to digitalization and the emergence of internet-based social media platforms. Social media allows consumers to communicate with thousands of people well beyond their network. Consequently, the demand for transparency from industrial corporations has increased. It even becomes more important to understand how sustainability-related information on social media holds organizations accountable for their wrongdoings and reward them for taking sustainability-related initiatives. In this research work, the authors investigate how information that is available on social media influences consumers’ purchase behavior with regard to sustainable products in the context of developing countries. Therefore, the authors surveyed social media users residing in Pakistan and used partial least squares structural equation modeling (PLS-SEM) to analyze the collected data. The results established that positive and negative sustainability-related information on social media significantly influences consumers’ intention to purchase sustainable products. Furthermore, this study explains that consumers’ willingness to seek sustainabilityrelated information makes them dependent on social media and this dependency on social media affects their intention to purchase.

As seen in recent years, the volatile, uncertain, complex, and ambiguous environment has made flexibility in product design and production planning more important than ever. Therefore, companies must be able to quickly respond to the dynamically changing environment. However, research on the flexibility of product design and manufacturing systems has been underway for a long time, only a few studies address their relationship. In this paper, we give an overview of literature related to flexibility and add transparency to the relationship between engineering changes, product development, and production. Based on that, we propose a conceptual framework for co-development to improve the flexibility of product development and production. As part of the framework, we introduce a visualization that reveals the propagation of changes in the product and into the production to create deeper insights for conjoint redesign. To exploit further synergies of product and production, we suggest modularization with focus on strategic module drivers enhancing flexibility. Further support for the comparison of alternative concepts can be provided through digital twin-based simulations of the production system.

In heterogeneous catalysis, operando measurements probe catalysts in their active state and are essential for revealing complex catalyst structure–activity relationships. The development of appropriate operando sample environments for spatially resolved studies has come strongly into focus in recent years, particularly when coupled to the powerful and multimodal characterization tools available at synchrotron light sources. However, most catalysis studies at synchrotron facilities only measure structural information about the catalyst in a spatially resolved manner, whereas gas analysis is restricted to the reactor outlet. Here, a fully automated and integrated catalytic profile reactor setup is shown for the combined measurement of temperature, gas composition and high-energy X-ray diffraction (XRD) profiles, using the oxidative de­hydrogenation of C2H6 to C2H4 over MoO3/γ-Al2O3 as a test system. The profile reactor methodology was previously developed for X-ray absorption spectroscopy and is here extended for operando XRD. The profile reactor is a versatile and accessible research tool for combined spatially resolved structure–activity profiling, enabling the use of multiple synchrotron-based characterization methods to promote a knowledge-based optimization of a wide range of catalytic systems in a time- and resource-efficient way.

By conducting experiments in controlled environments, design researchers test the suitability of design methods for users in practice. However, users in practice bring a variety of background knowledge that is not reflected by the samples with homogeneous knowledge used in controlled environments, especially student samples. To investigate the influence of background knowledge, two method validation experiments with participants with different background knowledge were replicated and evaluated. The results show an influence of background knowledge regarding method use and outcome. Therefore, the background knowledge of the participants must be taken into account when planning method validation experiments in order to ensure that the results are valid for practice.

This dataset includes geotechnical laboratory tests conducted on a Baltic Sea sand sample (Core Z_VC_011) from the Falster-Rügen Plate, extracted using a vibracorer. The dataset comprises grain size distribution (sieve analysis), density determination at the loosest and densest packing, one oedometer test (CRS), and three CD triaxial tests (50, 100, and 200 kPa consolidation pressure) as well as three triaxial tests with deformation reversal (0, 90, and 180 °). All laboratory tests were carried out according to current standards. An accompanying explanatory document is included. These data form the basis for determining hypoplastic constitutive parameters for modeling the structure-soil interaction in the Baltic Sea region.

As part of the FAUST project, both field and laboratory investigations were conducted on the sediment exchange behavior of cohesive sediments in the Weser estuary. A particular focus of the work was the examination of vertical exchange processes at the interface between the water column and highly concentrated suspensions. Since the transitions between the sub-processes of sediment exchange are partially fluid or directly connected, investigations were carried out not only on the predominant aspects of settling and erosion behavior but also on consolidation behavior and rheology of cohesive sediments. The methodology to generate the density profiles is described in the corresponding publication, where the results were published and discussed first hand (https://doi.org/10.3389/feart.2022.916056). In general, an Anton Paar DMA Standard Densimeter has been used to measure the suspensions densities. For very high (approx. >1300 kg/m³) densities a suspension balance has been used as alternative. Lutocline evolution curves are generated by digitization of photographic observations of the lutoclines evolution over time. Information on the composition (approximate fractions of sand, silt and clay) of the sediments used is also given in https://doi.org/10.3389/feart.2022.916056. Data abbreviations are location based: BB - Blexer Bogen, NH - Nordenham, H - Harbour, S - Ship, L - Laboratory, MW - Measurementtrip Weser; Numbers are sample and field trip specific. Natural profiles: e.g. MW-II, NH-13H: Sample number 3 from the second field trip (first 0, second 1,...) on the Weser (MW-II) collected at Position Nordenham. Density profile generated immediately after returning in the harbour (H). Lab generated development of density-depth-profiles: e.g. BB-05 rho_0 = 1065 kg/m³: Sample number 5 from the first field trip on the Weser collected at Position Blexer Bogen having an initially homogeneous density profile of rho_0 = 1065 kg/m³

The goal of this work was to develop a tool that allows users with little experience to manufacture components with efficient support structures using PBF-LB/M. Tree shaped structures were used and created via algorithmic, biological growth using botanical methods. TO was used to optimize the support structures. The generated trees were then compared to two commercially available supports using FEA to simulate the whole PBF-LB/M process including a stress relief heat treatment and the removal of the part from build plate and supports. The data is supplementary material to the publication with the title " Development of a tree-support software module for PBF-LB/M " of the conference Laser in Manufacturing (LiM) 2023, 26 - 29 July 2023, Munich/Germany.

This is data on an expert survey conducted in 2019 at the Institute of Wastewater Management and Water Protection in Hamburg Germany. The aim of this survey was to identify ways to adapt agriculture to reduce nitrate inputs to groundwater. Additionally, it was intended to investigate whether organic farming is the solution to the nitrate problem in groundwater, whether far more measures are needed, or even fewer regulations are enough. Furthermore, factors influencing a conversion to organic farming were considered. The survey included 14 questions and was distributed directly by email to individuals and through associations and other technical channels. A total of 30 individuals from water management (n = 8), agriculture (n = 15), water as well as agriculture (n = 3), and other disciplines (n = 4) responded to the survey. The survey results were processed in detail in a master's thesis. Part of the results were presented at the „32. Hamburger Kolloquium zur Abwasserwirtschaft“ at TUHH in the talk „Zukunftssicherung von Wasser und Nahrung: Förderung wassergerechter Landwirtschaft durch die Wasserwirtschaft“ and published in the conference proceedings: 32. Hamburger Kolloquium zur Abwasserwirtschaft, Band Nr. 107. Hamburg: GFEU (Hamburger Berichte zur Siedlungswasserwirtschaft) , S. 63–79, ISBN: 978-3-942768-32-0. This dataset contains the questionnaire "20230220_Umfrage.pdf," a complete listing of all answers "20230628_umfragedaten_full" (.ods and .xlsx), and a tidy-sheet excluding the direct text answers "20230628_umfragedaten_tidy.csv". Details on the data are described in the "20230630_Umfrage_Readme_v1.pdf" including a codebook for the csv file. All files are available in German only.