@inproceedings{62885, author = {{Osnabrügge, Malin and Tenberge, Claudia and Fechner, Sabine}}, keywords = {{Artificial intelligence, primary education, science and technology education}}, location = {{Norrköping, Sweden}}, title = {{{Artificial Intelligence in primary science and technology education with a focus on implementation of AI in learning context – Results of a Scoping Review}}}, year = {{2026}}, } @inbook{65689, abstract = {{The use of aluminium materials in the structural and bodywork areas of assemblies has proven to be a targeted option for lightweight design. How-ever, the reliable and cost-efficient joining of aluminium components remains a challenge. Mechanical joining methods, such as riveting, are frequently used in the automotive and aerospace construction industries. Rivets are made from heat-treated steels. Compared to steel, the use of aluminium materials for fasten-ers offers several advantages in terms of joining properties, particularly in terms of recyclability, corrosion resistance and reduced weight of the joined structure. Additionally, the manufacturing process is shorter since aluminium fasteners do not require coating. However, aluminium rivets can often not be used due to the insufficient mechanical strength of the fastener material in relation to the joining component materials. This study systematically investigates the requirements for using solid alu-minium self-piercing rivets. The influence of rivet geometry adjustments on the joint quality is analysed using numerical simulation. The results are used to derive and evaluate an optimised rivet geometry for joining pure aluminium sheets. On this basis, solid self-drilling rivets with optimised geometry are manufactured from particle-reinforced aluminium produced in a continuous extrusion process by machining. The integration of particles increases the material’s strength. Exper-imental tests are conducted to evaluate the use of optimised solid self-piercing rivets. The quality-relevant parameters are determined and evaluated based on macrographs of the joints.}}, author = {{Koch, Steffen and Weber, Joshua and Meschut, Gerson and Stadelmann, Claudia and Böhm, Wolfgang and Merklein, Marion}}, booktitle = {{Proceedings in Engineering Mechanics}}, isbn = {{9783032236401}}, issn = {{2731-0221}}, keywords = {{Solid self-piercing riveting cdot particle-reinforced aluminium cdot continuous powder extrusion cdot Joining technology cdot Rivet geometry cdot lightweight design}}, location = {{Coimbra}}, publisher = {{Springer Nature Switzerland}}, title = {{{Particle-Reinforced Aluminium Solid Self-piercing Rivets for Joining Aluminium Alloy Sheets}}}, doi = {{10.1007/978-3-032-23641-8_1}}, year = {{2026}}, } @inproceedings{66093, abstract = {{Taking pupils’ diverse needs into account is considered a central requirement of inclusive education (Booth & Ainscow, 2016). These needs are—according to Ainscow’s (2007) inclusive turn—not primarily ‘special educational needs’, but diverse needs of all learners. For the rather segregated German educational system, this endeavour applies especially to primary education, where needs are still developing and pupils are not yet assigned to different types of schooling according to their needs and abilities. Despite a substantial amount of research on pupils’ basic psychological needs for autonomy, competence and social relatedness (Ryan et al., 2022), strategies that technology education teachers apply in this regard are not yet well understood. Besides interventional studies on technology education, indicating effectiveness of self‑directed and action‑oriented teaching and learning, there is a dearth of research on how teachers address different needs as a routine. The purpose of the presented study is therefore to investigate and systematize actions and strategies teachers apply, and to specify how pupils' needs are considered when teaching technology education on a given topic. The overall study used a mixed-methods approach to the question how pupils’ needs are characterized by themselves and by their teachers, and how they were taken into account in a lesson adapted and delivered by the teachers. In the sub-study presented here, participating primary school teachers were interviewed about their consideration of pupils’ needs whilst planning and conducting a technology education unit on the functionality of robots. The results gained from qualitative content analysis of the interviews indicate that although the anticipation of different needs is considered challenging, teachers possess a substantiate amount of practices and strategies to take them into account. The paper systematizes the practices teachers described in structured interviews within strategies and discusses the contribution of taking basic needs into account for inclusive technology education.}}, author = {{Schröer, Franz and Tenberge, Claudia}}, booktitle = {{Linköping Electronic Conference Proceedings}}, issn = {{1650-3686}}, keywords = {{Technology Education, Inclusion, Basic Needs, Robotics, Mixed Methods, Teachers' Abilities}}, publisher = {{Linköping University Electronic Press}}, title = {{{“They Really Need to Handle, Inspect, and Experience Things”}}}, doi = {{10.3384/ecp213.1455}}, volume = {{218}}, year = {{2026}}, } @inbook{65032, abstract = {{Despite its status as a key enabling technology, the adoption of 5G in industry remains limited, mainly due to a lack of expertise, which can be addressed by incorporating 5G training into vocational schools. Since Augmented Reality (AR) faces similar challenges, it is used as the 5G application. This research aims to determine the extent to which a learning unit using 5G and AR for collaborative work can increase the intention to use these technologies in the vocational setting and gathers the factors that make up 5G acceptance. It is based on the Technology Acceptance Model 2 (TAM2). The sample includes 23 industrial mechanics students who participated in the developed learning unit. All items are scored on seven-tiered Likert scales (0 “totally disagree”; 6 “totally agree”). The results showed a non-significant change in behavioural intention to use 5G, with a mean of 4.95 (SD: 1.18) for the pre-test and 4.43 (SD: 1.68) for the posttest. The change in intention to use AR did not change significantly either, from 3.12 (SD: 1.38) at pre-test to 3.37 (SD: 1.16) at post-test. The factors Perceived Usefulness, Image, and Relevance had the lowest mean scores, indicating areas for targeted improvement. The significant change in Output Quality ratings is likely to reflect initial overestimation by students. The difference in Behavioural Intentions between 5G and AR suggests that AR may not be an effective technology for increasing 5G adoption in educational contexts. One recommendation is to address 5G in the learning unit not only indirectly.}}, author = {{Schäfers, Johannes and Temmen, Katrin}}, booktitle = {{Proceedings of the 27th International Conference on Interactive Collaborative Learning (ICL2024), Volume 4}}, editor = {{Auer, Michael E. and Rüütmann, Tiia}}, isbn = {{9783031835193}}, issn = {{2367-3370}}, keywords = {{5G, Key Technology, TAM · Augmented Reality, VET}}, location = {{Tallinn}}, pages = {{84 – 91}}, publisher = {{Springer Nature Switzerland}}, title = {{{The Influence of an Immersive-Collaborative Learning Unit on the Technology Acceptance of 5G and AR of Industrial Mechanic Students}}}, doi = {{10.1007/978-3-031-83520-9_8}}, volume = {{1281}}, year = {{2025}}, } @article{52686, author = {{Ahmed, Qazi Arbab and Wiersema, Tobias and Platzner, Marco}}, issn = {{2509-3428}}, journal = {{Journal of Hardware and Systems Security}}, keywords = {{General Engineering, Energy Engineering and Power Technology}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Post-configuration Activation of Hardware Trojans in FPGAs}}}, doi = {{10.1007/s41635-024-00147-5}}, year = {{2024}}, } @article{53213, author = {{Amiri, Arman and Tavana, Madjid and Arman, Hosein}}, issn = {{2542-6605}}, journal = {{Internet of Things}}, keywords = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}}, publisher = {{Elsevier BV}}, title = {{{An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for Bitcoin Price Prediction}}}, doi = {{10.1016/j.iot.2023.101027}}, volume = {{25}}, year = {{2024}}, } @article{53309, author = {{Hölsch, Lukas and Brosch, Anian and Steckel, Richard and Braun, Tristan and Wendel, Sebastian and Böcker, Joachim and Wallscheid, Oliver}}, issn = {{0885-8969}}, journal = {{IEEE Transactions on Energy Conversion}}, keywords = {{Electrical and Electronic Engineering, Energy Engineering and Power Technology}}, pages = {{1--12}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives}}}, doi = {{10.1109/tec.2024.3374962}}, year = {{2024}}, } @techreport{56494, abstract = {{Many industrialized countries have recognized the need to mitigate energy cost increases faced by low-income households by fostering the adoption of energy-efficient technologies. How to meet this need is an open question, but “behavioral insights” are likely components of future policy designs. Applying well-established behavioral insights to low-income house- holds raises questions of transportability as they are typically underrepresented in the existing evidence base. We illustrate this problem by conducting a randomized field experiment on scalable, low-cost design elements to improve program take-up in one of the world’s largest en- ergy efficiency assistance programs. Observing investment decisions of over 1,800 low-income households in Germany’s “Refrigerator Replacement Program”, we find that the transportabil- ity problem is real and consequential: First, the most effective policy design would not have been chosen based on existing behavioral insights. Second, design elements favored by these insights either prove ineffective or even backfire, violating ‘do no harm’ principles of policy advice. Systematic testing remains crucial for addressing the transportability problem, partic- ularly for policies targeting vulnerable groups. }}, author = {{Kesternich, Martin and Chlond , Bettina and Goeschl, Timo and Werthschulte, Madeline}}, keywords = {{Transportability, low-income households, field experiment, randomized controlled trial, governmental welfare programs, energy efficiency, technology adoption}}, publisher = {{ AWI Discussion Paper Series No. 755}}, title = {{{Transporting behavioral insights to low-income households: A field experiment on energy efficiency investments}}}, year = {{2024}}, } @article{45826, author = {{Niemann, Valerie A. and Huck, Marten and Steinrück, Hans-Georg and Toney, Michael F. and Tarpeh, William A. and Bone, Sharon E.}}, issn = {{2690-0637}}, journal = {{ACS ES&T Water}}, keywords = {{Water Science and Technology, Environmental Chemistry, Chemistry (miscellaneous), Chemical Engineering (miscellaneous)}}, pages = {{2627--2637}}, publisher = {{American Chemical Society (ACS)}}, title = {{{X-ray Absorption Spectroscopy Reveals Mechanisms of Calcium and Silicon Fouling on Reverse Osmosis Membranes Used in Wastewater Reclamation}}}, doi = {{10.1021/acsestwater.3c00144}}, volume = {{3}}, year = {{2023}}, } @article{45866, author = {{Knorr, Lukas and Schlosser, Florian and Meschede, Henning}}, issn = {{1848-9257}}, journal = {{Journal of Sustainable Development of Energy, Water and Environment Systems}}, keywords = {{Energy Engineering and Power Technology, Water Science and Technology, Environmental Science (miscellaneous), Renewable Energy, Sustainability and the Environment}}, number = {{3}}, pages = {{0--0}}, publisher = {{SDEWES Centre}}, title = {{{Assessment of Energy Efficiency and Flexibility Measures in Electrified Process Heat Generation Based on Simulations in the Animal Feed Industry}}}, doi = {{10.13044/j.sdewes.d11.0444}}, volume = {{ 11}}, year = {{2023}}, } @article{48517, author = {{Hubner-Benz, Sylvia and Baum, Matthias}}, issn = {{1742-5360}}, journal = {{International Journal of Entrepreneurial Venturing}}, keywords = {{Management of Technology and Innovation, Strategy and Management, Business and International Management}}, number = {{1}}, publisher = {{Inderscience Publishers}}, title = {{{What predicts effectuation preferences Disentangling individual and environmental factors and illuminating decision criteria}}}, doi = {{10.1504/ijev.2023.129283}}, volume = {{15}}, year = {{2023}}, } @article{48900, author = {{Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider, Martin}}, issn = {{0958-5192}}, journal = {{The International Journal of Human Resource Management}}, keywords = {{Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management, Industrial relations}}, pages = {{1--29}}, publisher = {{Informa UK Limited}}, title = {{{Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level}}}, doi = {{10.1080/09585192.2023.2273331}}, year = {{2023}}, } @article{49446, author = {{Diederich, Sarah and Iseke, Anja and Pull, Kerstin and Schneider, Martin}}, issn = {{0958-5192}}, journal = {{The International Journal of Human Resource Management}}, keywords = {{Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management, Business and International Management, Industrial relations}}, pages = {{1--29}}, publisher = {{Informa UK Limited}}, title = {{{Role (in-)congruity and the Catch 22 for female executives: how stereotyping contributes to the gender pay gap at top executive level}}}, doi = {{10.1080/09585192.2023.2273331}}, year = {{2023}}, } @article{49565, author = {{Ebersold, Felix and Hechelmann, Ron-Hendrik and Holzapfel, Peter and Meschede, Henning}}, issn = {{2590-1745}}, journal = {{Energy Conversion and Management: X}}, keywords = {{Energy Engineering and Power Technology, Fuel Technology, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment}}, publisher = {{Elsevier BV}}, title = {{{Carbon insetting as a measure to raise supply chain energy efficiency potentials: Opportunities and challenges}}}, doi = {{10.1016/j.ecmx.2023.100504}}, volume = {{20}}, year = {{2023}}, } @inproceedings{45270, abstract = {{Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies.}}, author = {{Halimeh, Haya and Caron, Matthew and Müller, Oliver}}, booktitle = {{Hawaii International Conference on System Sciences}}, keywords = {{Social Media and Healthcare Technology, early depression detection, liwc, mental health, transfer learning, transformer architectures}}, title = {{{Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}}}, year = {{2023}}, } @article{53074, author = {{Kasper, Tina and Hansen, Nils}}, issn = {{0010-2180}}, journal = {{Combustion and Flame}}, keywords = {{General Physics and Astronomy, Energy Engineering and Power Technology, Fuel Technology, General Chemical Engineering, General Chemistry}}, publisher = {{Elsevier BV}}, title = {{{Resonance enhanced multiphoton ionization detection of aromatics formation in fuel-rich flames}}}, doi = {{10.1016/j.combustflame.2023.112820}}, volume = {{257}}, year = {{2023}}, } @article{53220, author = {{Tavana, Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza Shamekhi and Mina, Hassan}}, issn = {{2542-6605}}, journal = {{Internet of Things}}, keywords = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}}, publisher = {{Elsevier BV}}, title = {{{An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks}}}, doi = {{10.1016/j.iot.2023.100786}}, volume = {{22}}, year = {{2023}}, } @article{53226, author = {{Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}}, issn = {{2444-569X}}, journal = {{Journal of Innovation & Knowledge}}, keywords = {{Management of Technology and Innovation, Marketing, Economics and Econometrics, Business and International Management}}, number = {{4}}, publisher = {{Elsevier BV}}, title = {{{Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises}}}, doi = {{10.1016/j.jik.2023.100454}}, volume = {{8}}, year = {{2023}}, } @article{53224, author = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid}}, issn = {{0040-1625}}, journal = {{Technological Forecasting and Social Change}}, keywords = {{Management of Technology and Innovation, Applied Psychology, Business and International Management}}, publisher = {{Elsevier BV}}, title = {{{A combinatorial data envelopment analysis with uncertain interval data with application to ICT evaluation}}}, doi = {{10.1016/j.techfore.2023.122510}}, volume = {{191}}, year = {{2023}}, } @inproceedings{49785, abstract = {{Reputation is indispensable for online business since it supports customers in their buying decisions and allows sellers to justify premium prices. While IS research has investigated reputation systems mainly as review systems on online platforms for business-to-consumer (B2C) transactions, no proper solutions have been developed for business-to-business (B2B) transactions yet. We use blockchain technology to propose a new class of reputation systems that apply ratings as voluntary bonus payments: Before a transaction is performed, customers commit to pay a bonus that is granted if a service provider has performed a service properly. As opposed to rival reputation systems that build on cumulated ratings or reviews, our system enables monetized reputation mechanisms that are inextricably linked with online transactions. We expect this system class to provide more trustworthy ratings, which might reduce agency costs and serve quality providers to establish a reputation towards new customers, building on second-order trust.}}, author = {{Hemmrich, Simon}}, booktitle = {{Proceedings of 31st European Conference on Information Systems (ECIS 2023)}}, keywords = {{Trust, Risk, Reputation System, Blockchain Technology, Business Reputation System.}}, location = {{Kristiansand}}, title = {{{Business Reputation Systems based on Blockchain Technology—A Risky Advance}}}, year = {{2023}}, }