@incollection{Stapenhorst2023,
  author    = {Stapenhorst, Carolin},
  title     = {The didactic experimentation on housing modules for cycle travellers},
  series = {MAACC. Modulo abitativo autosufficiente per cicloviaggiatori e camminatori.},
  booktitle = {MAACC. Modulo abitativo autosufficiente per cicloviaggiatori e camminatori.},
  editor    = {Callegari, Guido and De Giorgi, Claudia and Occelli, Chiara L.M. and Palma, Riccardo},
  publisher = {LetteraVentidue Edizioni Srl},
  address   = {Siracusa},
  isbn      = {978-88-6242-778-4},
  pages     = {40 -- 44},
  year      = {2023},
  language  = {en}
}
@article{BiewendtBlaschkeBoehnert2020,
  author    = {Biewendt, Marcel and Blaschke, Florian and B{\"o}hnert, Arno},
  title     = {An evaluation of corporate sustainability in context of the Jevons paradox},
  series = {SocioEconomic Challenges},
  volume    = {4},
  journal   = {SocioEconomic Challenges},
  number    = {3},
  publisher = {ARMG Publishing},
  address   = {Sumy},
  issn      = {2520-6214},
  doi       = {10.21272/sec.4(3).46-65.2020},
  pages     = {46 -- 65},
  year      = {2020},
  abstract  = {The successful implementation and continuous development of sustainable corporate-level solutions is a challenge. These are endeavours in which social, environmental, and financial aspects must be weighed against each other. They can prove difficult to handle and, in some cases, almost unrealistic. Concepts such as green controlling, IT, and manufacturing look promising and are constantly evolving. This paper aims to achieve a better understanding of the field of corporate sustainability (CS). It will evaluate the hypothesis by which Corporate Sustainability thrives, via being efficient, increasing the performance, and raising the value of the input of the enterprises to the resources used. In fact, Corporate Sustainability on the surface could seem to contradict the idea, which supports the understanding that it encourages the reduction of the heavy reliance on the use of natural resources, the overall environmental impact, and above all, their protection. To understand how the contradictory notion of CS came about, in this part of the paper, the emphasis is placed on providing useful insight to this regard. The first part of this paper summarizes various definitions, organizational theories, and measures used for CS and its derivatives like green controlling, IT, and manufacturing. Second, a case study is given that combines the aforementioned sustainability models. In addition to evaluating the hypothesis, the overarching objective of this paper is to demonstrate the use of green controlling, IT, and manufacturing in the corporate sector. Furthermore, this paper outlines the current challenges and possible directions for CS in the future.},
  language  = {en}
}
@article{BiewendtBoehnertBlaschke2020,
  author    = {Biewendt, Marcel and B{\"o}hnert, Arno and Blaschke, Florian},
  title     = {The repercussions of the digital twin in the automotive industry on the new marketing logic},
  series = {European Journal of Marketing and Economics},
  volume    = {4},
  journal   = {European Journal of Marketing and Economics},
  number    = {1},
  publisher = {Revistia},
  address   = {London},
  issn      = {2601-8659},
  doi       = {10.26417/229eim64f},
  pages     = {68 -- 73},
  year      = {2020},
  abstract  = {Rapid development of virtual and data acquisition technology makes Digital Twin Technology (DT) one of the fundamental areas of research, while DT is one of the most promissory developments for the achievement of Industry 4.0. 48\% percent of organisations implementing the Internet of Things are already using DT or plan to use DT in 2020. The global market for DT is expected to grow by 38 percent annually, reaching USD16 billion by 2023. In addition, the number of participating organisations using digital twins is expected to triple by 2022. DTs are characterised by the integration between physical and virtual spaces. The driving idea for DT is to develop, test and build our devices in a virtual environment. The objective of this paper is to study the impact of DT in the automotive industry on the new marketing logic. This paper outlines the current challenges and possible directions for the future DT in marketing. This paper will be helpful for managers in the industry to use the advantages and potentials of DT.},
  language  = {en}
}
@article{KohlKraemerFohryetal.2024,
  author    = {Kohl, Philipp and Kr{\"a}mer, Yoka and Fohry, Claudia and Kraft, Bodo},
  title     = {Scoping review of active learning strategies and their evaluation environments for entity recognition tasks},
  series = {Deep learning theory and applications},
  journal   = {Deep learning theory and applications},
  editor    = {Fred, Ana and Hadjali, Allel and Gusikhin, Oleg and Sansone, Carlo},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-031-66694-0 (online ISBN)},
  doi       = {10.1007/978-3-031-66694-0_6},
  pages     = {84 -- 106},
  year      = {2024},
  abstract  = {We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Objective: Identify active learning strategies that were proposed for entity recognition and their evaluation environments (datasets, metrics, hardware, execution time). Design: We used Scopus and ACM as our search engines. We compared the results with two literature surveys to assess the search quality. We included peer-reviewed English publications introducing or comparing active learning strategies for entity recognition. Results: We analyzed 62 relevant papers and identified 106 active learning strategies. We grouped them into three categories: exploitation-based (60x), exploration-based (14x), and hybrid strategies (32x). We found that all studies used the F1-score as an evaluation metric. Information about hardware (6x) and execution time (13x) was only occasionally included. The 62 papers used 57 different datasets to evaluate their respective strategies. Most datasets contained newspaper articles or biomedical/medical data. Our analysis revealed that 26 out of 57 datasets are publicly accessible. Conclusion: Numerous active learning strategies have been identified, along with significant open questions that still need to be addressed. Researchers and practitioners face difficulties when making data-driven decisions about which active learning strategy to adopt. Conducting comprehensive empirical comparisons using the evaluation environment proposed in this study could help establish best practices in the domain.},
  language  = {en}
}
@incollection{ChwallekGoezlerReichert2024,
  author    = {Chwallek, Constanze and Goezler, Kaan and Reichert, Walter},
  title     = {Handling growth as a complexity driver at Faymonville},
  series = {Hidden champions case compendium: Leading global markets - case studies and texts},
  booktitle = {Hidden champions case compendium: Leading global markets - case studies and texts},
  editor    = {B{\"u}chler, Jan-Philipp and Hoon, Christina},
  publisher = {Springer Fachmedien},
  address   = {Wiesbaden},
  isbn      = {978-3-658-44300-9},
  doi       = {10.1007/978-3-658-44300-9_14},
  pages     = {209 -- 221},
  year      = {2024},
  abstract  = {The FAYMONVILLE case study describes how the family-owned company Faymonville from eastern Belgium has succeeded in becoming one of the leading manufacturers in its sector. The targeted identification of new markets, the focus on relevant customer needs, and a consistent product policy with a coordinated manufacturing concept lay the foundations for success. In this case study, students can learn about how a company can successfully resolve the fundamental contradiction between economic and customized production.},
  language  = {en}
}
@article{RaffeisAdjeiKyeremehVroomenetal.2020,
  author    = {Raffeis, Iris and Adjei-Kyeremeh, Frank and Vroomen, Uwe and Westhoff, Elmar and Bremen, Sebastian and Hohoi, Alexandru and B{\"u}hrig-Polaczek, Andreas},
  title     = {Qualification of a Ni-Cu alloy for the laser powder bed fusion process (LPBF): Its microstructure and mechanical properties},
  series = {Applied Sciences},
  volume    = {10},
  journal   = {Applied Sciences},
  number    = {Art. 3401},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2076-3417},
  doi       = {10.3390/app10103401},
  pages     = {1 -- 15},
  year      = {2020},
  abstract  = {As researchers continue to seek the expansion of the material base for additive manufacturing, there is a need to focus attention on the Ni-Cu group of alloys which conventionally has wide industrial applications. In this work, the G-NiCu30Nb casting alloy, a variant of the Monel family of alloys with Nb and high Si content is, for the first time, processed via the laser powder bed fusion process (LPBF). Being novel to the LPBF processes, optimum LPBF parameters were determined, and hardness and tensile tests were performed in as-built conditions and after heat treatment at 1000 °C. Microstructures of the as-cast and the as-built condition were compared. Highly dense samples (99.8\% density) were achieved after varying hatch distance (80 µm and 140 µm) with scanning speed (550 mm/s-1500 mm/s). There was no significant difference in microhardness between varied hatch distance print sets. Microhardness of the as-built condition (247 HV0.2) exceeded the as-cast microhardness (179 HV0.2.). Tensile specimens built in vertical (V) and horizontal (H) orientations revealed degrees of anisotropy and were superior to conventionally reported figures. Post heat treatment increased ductility from 20\% to 31\% (V), as well as from 16\% to 25\% (H), while ultimate tensile strength (UTS) and yield strength (YS) were considerably reduced.},
  language  = {en}
}
@inproceedings{EggertWeber2023,
  author    = {Eggert, Mathias and Weber, Jannik},
  title     = {What drives the purchase decision in Instagram stores?},
  series = {ECIS 2023 Research Papers},
  booktitle = {ECIS 2023 Research Papers},
  pages     = {17 Seiten},
  year      = {2023},
  abstract  = {The popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that 'trust', 'personal recommendation', and 'usability' significantly influences user's buying intention in Instagram stores.},
  language  = {en}
}