@book{21566,
  author       = {{Schneider, Martin and Sadowski, Dieter and Frick, Bernd and Warning, Susanne}},
  publisher    = {{Schäffer-Poeschel}},
  title        = {{{Personalökonomie und Personalpolitik: Grundlagen einer evidenzbasierten Praxis}}},
  year         = {{2020}},
}

@article{18426,
  author       = {{Schneider, Martin}},
  isbn         = {{978-3-8260-6930-7}},
  journal      = {{Erzähltes Geld:  Finanzmärkte und Krisen in Literatur, Film und Medien}},
  pages        = {{243--}},
  publisher    = {{Königshausen & Neumann}},
  title        = {{{Gier und andere Tugenden: Widersprüchliche Bewertungen der Marktwirtschaft ain Oliver Stones "Wall Street" }}},
  year         = {{2020}},
}

@article{34861,
  author       = {{Meier, Heiko and Auer, Thorsten Fabian and Sennefelder, Lisa}},
  issn         = {{2195-9552}},
  journal      = {{Journal Gesundheitsförderung für Akteurinnen und Akteure aus Politik, Wissenschaft und Praxis}},
  number       = {{1}},
  pages        = {{58--61}},
  publisher    = {{Conrad-Verlag}},
  title        = {{{Der Einfluss von gesundheitsförderlichen Maßnahmen auf die Kommunikationsstrukturen: Nutzen für die Arbeitsproduktivität?}}},
  year         = {{2020}},
}

@inbook{26021,
  author       = {{Sloane, Hannah and Kremer, H.-Hugo}},
  booktitle    = {{Mentoring in Hochschuldidaktik und -praxis - Eine Reflexion wissenschaftlicher Erkenntnisse und praktischer Erfahrungen}},
  editor       = {{Fuge, Juliane and Kremer, H.-Hugo}},
  pages        = {{41--58}},
  publisher    = {{Eusl-Verlagsgesellschaft mbH}},
  title        = {{{Peer Mentoring an der Fakultät für Wirtschaftswissenschaften - Einblicke in ein Schulungskonzept für Peer Mentor*innen}}},
  volume       = {{2}},
  year         = {{2020}},
}

@article{50279,
  author       = {{Daniel-Söltenfuß, Desiree}},
  journal      = {{bwp@}},
  title        = {{{Aushandlungsprozesse über Freiheiten und Grenzen im selbstregulierten Lernen. Erwartungen und Handlungsmuster bei Schüler*innen und Lehrpersonen im Übergangssystem}}},
  volume       = {{38}},
  year         = {{2020}},
}

@article{50280,
  abstract     = {{<jats:p>The use of video analysis in Design-Based Research (DBR) seems to be promising, because the quality of video data matches the reality of educational fields. Educational fields are multidimensional and complex. And more than other types of data, video may capture, for example, the simultaneity of verbal and non-verbal interactions. This seems to be valuable in the quest for new insights and better designs of educational interventions. However, to date there has been limited use of video data in researching their design. This paper aims at reflecting how the benefits of video-based analysis may be utilised in DBR. Experiences with the collection and analysis of video data in a project to design self-organised learning (SOL) at a vocational school in Germany will be used as a case study to illustrate the type of findings that may feed into the DBR process. In this case, the project school had already introduced a sophisticated SOL model but was experiencing various implementation difficulties. Resolving issues like this requires insights into how exactly a concept is realised and what happens in the field. Therefore, video data on classroom interactions was gathered and sub-sequently analysed using the documentary method. This led to the reconstruction of two different types of orientation that were guiding the students when they dealt with their self-organised learning environment. In a subversive orientation, students playfully infiltrate the formal learning space with peer activities. In a confirming orientation, students stick to both, the (informal) rules of the (formal) learning arrangement and of the peer environment, thus expressing respect for the boundary between these two worlds. These findings have been used to redesign the SOL intervention.</jats:p>}},
  author       = {{Gössling, Bernd and Daniel, Desiree}},
  issn         = {{2511-0667}},
  journal      = {{EDeR. Educational Design Research}},
  keywords     = {{Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health}},
  number       = {{2}},
  publisher    = {{Staats- und Universitatsbibliothek Hamburg Carl von Ossietzky}},
  title        = {{{Video analysis in Design-Based Research – Findings of a project on self-organised learning at a vocational school}}},
  doi          = {{10.15460/eder.2.2.1270}},
  volume       = {{2}},
  year         = {{2020}},
}

@inbook{50354,
  author       = {{Heitmann, Ingmar}},
  booktitle    = {{Neuere Entwicklungen in Produktionn und Controlling}},
  editor       = {{Betz, Stefan}},
  isbn         = {{978-3-339-11532-4}},
  pages        = {{249--276}},
  publisher    = {{Dr. Kovac}},
  title        = {{{Erfolgsfaktoren digitaler Transformationsprozesse in KMU}}},
  year         = {{2020}},
}

@inbook{50374,
  author       = {{Puls, Christoph}},
  booktitle    = {{Neuere Entwicklungen in Produktionn und Controlling}},
  editor       = {{Betz, Stefan}},
  isbn         = {{978-3-339-11532-4}},
  pages        = {{215--246}},
  publisher    = {{Dr. Kovac}},
  title        = {{{Varianten- und Komplexitätsmanagement im produzierenden Gewerbe}}},
  year         = {{2020}},
}

@inbook{50365,
  author       = {{Koch, Christian}},
  booktitle    = {{Neuere Entwicklungen in Produktionn und Controlling}},
  editor       = {{Betz, Stefan}},
  isbn         = {{978-3-339-11532-4}},
  pages        = {{317--347}},
  publisher    = {{Dr. Kovac}},
  title        = {{{Digitalisierung des Produktionscontrollings in KMU}}},
  year         = {{2020}},
}

@inbook{50394,
  author       = {{Opitz, Oliver}},
  booktitle    = {{Neuere Entwicklungen in Produktion und Controlling}},
  editor       = {{Betz, Stefan}},
  isbn         = {{978-3-339-11532-4}},
  pages        = {{11--48}},
  publisher    = {{Dr. Kovac}},
  title        = {{{Kapazitätsplanung unter besonderer Berücksichtigung produktionsseitiger Risiken}}},
  year         = {{2020}},
}

@article{25806,
  author       = {{Lübbecke, Silvia and Schnedler, Wendelin}},
  issn         = {{1058-6407}},
  journal      = {{Journal of Economics & Management Strategy}},
  pages        = {{420--438}},
  title        = {{{Don't patronize me! An experiment on preferences for authorship}}},
  doi          = {{10.1111/jems.12347}},
  year         = {{2020}},
}

@inproceedings{21563,
  abstract     = {{Historically, the field of financial forecasting almost exclusively relied on so-called hard information – i.e., numerical data with well-defined and unambiguous meaning. Over the last few decades, however, researchers and practitioners alike have, following the advances in natural language understanding, started recognizing the benefits of integrating soft information into financial modelling. In line with the above, this paper examines whether contemporary attention-based sequence-to-sequence models, known as Transformers, can help improve stock return volatility prediction when applied to corporate annual reports. Using a publicly available benchmark dataset, we show, in an empirical analysis, that out-of-the-box Transformer models have the ability to outmatch current state-of-the-art results and, more importantly, that our proposed feature-based Transformer approach can outperform a robust numerical baseline. To the best of our knowledge, this is the first empirical study focusing on stock return volatility prediction (1) to ever experiment with state-of-the-art Transformer architectures and (2) to demonstrate that a model based solely on soft information can surpass its numerical counterpart. Furthermore, we show that by including an additional numerical feature into our best text-only model, we can push the performance of our model even further, suggesting that soft and hard information contain different predictive signals.}},
  author       = {{Caron, Matthew and Müller, Oliver}},
  booktitle    = {{2020 IEEE International Conference on Big Data (Big Data)}},
  location     = {{Online}},
  pages        = {{4383--4391}},
  title        = {{{Hardening Soft Information: A Transformer-Based Approach to Forecasting Stock Return Volatility}}},
  doi          = {{10.1109/BigData50022.2020.9378134}},
  year         = {{2020}},
}

@article{45726,
  author       = {{Martin, K. D. and Kim, J. J. and Palmatier, R. W. and Steinhoff, Lena and Stewart, D. W. and Walker, B. A. and Wang, Y. and Weaven, S. K.}},
  journal      = {{Journal of Retailing}},
  number       = {{4}},
  pages        = {{474--489}},
  title        = {{{Data Privacy in Retail}}},
  doi          = {{https://doi.org/10.1016/j.jretai.2020.08.003}},
  volume       = {{96}},
  year         = {{2020}},
}

@article{45727,
  author       = {{Payne, A. and Steinhoff, Lena and Frow, P. and Eggert, A.}},
  journal      = {{Industrial Marketing Management}},
  pages        = {{244--255}},
  title        = {{{Toward a Comprehensive Framework of Value Proposition Development: From Strategy to Implementation}}},
  doi          = {{https://doi.org/10.1016/j.indmarman.2020.02.015}},
  volume       = {{87}},
  year         = {{2020}},
}

@article{45728,
  author       = {{Eggert, A. and Frow, P. and Payne, A. and Steinhoff, Lena}},
  journal      = {{Industrial Marketing Management}},
  pages        = {{242--243}},
  title        = {{{Understanding and Managing Customer Value Propositions: Introduction to the Special Issue}}},
  doi          = {{http://dx.doi.org/10.1016/j.indmarman.2020.01.007}},
  volume       = {{87}},
  year         = {{2020}},
}

@misc{47899,
  author       = {{Beutner, Marc and Schneider, Jennifer Nicole}},
  booktitle    = {{Kölner Zeitschrift für Wirtschaft und Pädagogik}},
  number       = {{68}},
  pages        = {{68--106}},
  title        = {{{Open Educational Resources- Nicht nur nutzen, sondern auch erstellen! Chancen und Potenziale für die deutsche Berufsbildungslandschaft}}},
  volume       = {{35}},
  year         = {{2020}},
}

@article{52711,
  author       = {{Jenert, Tobias}},
  journal      = {{Zeitschrift für Hochschulentwicklung}},
  number       = {{4}},
  pages        = {{203--222}},
  title        = {{{Überlegungen auf dem Weg zu einer Theorie lehrbezogenen Wandels an Hochschulen}}},
  volume       = {{15}},
  year         = {{2020}},
}

@inbook{24939,
  author       = {{Jenert, Tobias and Sänger, Niklas}},
  booktitle    = {{LERNEN im Hochschulzusammenhang}},
  isbn         = {{978-3-00-067191-3}},
  pages        = {{208--225}},
  title        = {{{Studien- und Lehrentwicklung als Überwindung institutioneller Grenzziehungen. Eine Netzwerktheoretische Betrachtung.}}},
  year         = {{2020}},
}

@misc{46039,
  author       = {{Sänger, Niklas}},
  title        = {{{Die Rolle von sozialen Netzwerken für die Lehrentwicklung und Lehrinnovation an Hochschulen}}},
  year         = {{2020}},
}

@article{17522,
  abstract     = {{Employing a unique hand-collected sample of 956 credit risk securitization transactions issued by 64 stock-listed European banks across the EU-13 plus Switzerland over the period from 1997 to 2010, this paper empirically analyzes the impact of securitization on the issuing banks’ effective tax rates. Our analysis reveals that banks may reduce their tax expense through securitization via a direct and indirect channel suggesting that tax avoidance may be a further motive for banks to engage in the securitization business. These baseline findings remain robust under various robustness checks, especially when implementing structural equation models and controlling for a reverse causality between the banks’ tax burden and their incentive to securitize. Finally, various sensitivity analyses provide further important results and implications for tax policies, banking regulation and the ongoing process of revitalizing the European securitization market.}},
  author       = {{Uhde, André}},
  issn         = {{1062-9769}},
  journal      = {{The Quarterly Review of Economics and Finance}},
  keywords     = {{Securitization, Credit risk transfer, Effective tax rates, European banking}},
  title        = {{{Tax avoidance through securitization}}},
  doi          = {{10.1016/j.qref.2020.07.008}},
  year         = {{2020}},
}

