@article{33221,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Non-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.</jats:p>}},
  author       = {{Redlin, Margarete}},
  issn         = {{0922-680X}},
  journal      = {{Journal of Regulatory Economics}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Differences in NPI strategies against COVID-19}}},
  doi          = {{10.1007/s11149-022-09452-9}},
  year         = {{2022}},
}

@article{33220,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We provide a partial equilibrium model wherein AI provides abilities combined with human skills to provide an aggregate intermediate service good. We use the model to find that the extent of automation through AI will be greater if (a) the economy is relatively abundant in sophisticated programs and machine abilities compared to human skills; (b) the economy hosts a relatively large number of AI-providing firms and experts; and (c) the task-specific productivity of AI services is relatively high compared to the task-specific productivity of general labor and labor skills. We also illustrate that the contribution of AI to aggregate productive labor service depends not only on the amount of AI services available but on the endogenous number of automated tasks, the relative productivity of standard and IT-related labor, and the substitutability of tasks. These determinants also affect the income distribution between the two kinds of labor. We derive several empirical implications and identify possible future extensions.</jats:p>}},
  author       = {{Gries, Thomas and Naudé, Wim}},
  issn         = {{2510-5019}},
  journal      = {{Journal for Labour Market Research}},
  keywords     = {{General Medicine}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Modelling artificial intelligence in economics}}},
  doi          = {{10.1186/s12651-022-00319-2}},
  volume       = {{56}},
  year         = {{2022}},
}

@inproceedings{33230,
  author       = {{Daymude, Joshua J. and Richa, Andréa W. and Scheideler, Christian}},
  booktitle    = {{1st Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2022, March 28-30, 2022, Virtual Conference}},
  editor       = {{Aspnes, James and Michail, Othon}},
  pages        = {{12:1–12:19}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{{Local Mutual Exclusion for Dynamic, Anonymous, Bounded Memory Message Passing Systems}}},
  doi          = {{10.4230/LIPIcs.SAND.2022.12}},
  volume       = {{221}},
  year         = {{2022}},
}

@article{33219,
  author       = {{Gries, Thomas and Müller, Veronika and Jost, John T.}},
  issn         = {{1047-840X}},
  journal      = {{Psychological Inquiry}},
  keywords     = {{General Psychology}},
  number       = {{2}},
  pages        = {{65--83}},
  publisher    = {{Informa UK Limited}},
  title        = {{{The Market for Belief Systems: A Formal Model of Ideological Choice}}},
  doi          = {{10.1080/1047840x.2022.2065128}},
  volume       = {{33}},
  year         = {{2022}},
}

@inproceedings{33240,
  author       = {{Götte, Thorsten and Scheideler, Christian}},
  booktitle    = {{SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022}},
  editor       = {{Agrawal, Kunal and Lee, I-Ting Angelina}},
  pages        = {{99–101}},
  publisher    = {{ACM}},
  title        = {{{Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion}}},
  doi          = {{10.1145/3490148.3538556}},
  year         = {{2022}},
}

@inbook{33248,
  author       = {{Herzig, Bardo}},
  booktitle    = {{Radikalisierungsnarrative online. Perspektiven und Lehren aus Wissenschaft und Prävention}},
  editor       = {{Reinke de Buitrago, S.}},
  isbn         = {{978-3658370428}},
  pages        = {{273 -- 300}},
  publisher    = {{Springer VS}},
  title        = {{{Medienbildung als Radikalisierungsprävention?}}},
  year         = {{2022}},
}

@inbook{33247,
  author       = {{Herzig, Bardo and Martin, Alexander}},
  booktitle    = {{Handbuch Pädagogikunterricht}},
  editor       = {{Püttmann, C. and Wortmann, E.}},
  isbn         = {{978-3825256203}},
  pages        = {{433 -- 443}},
  publisher    = {{Waxmann Verlag GmbH}},
  title        = {{{Lehren und Lernen mit (digitalen) Medien im Pädagogikunterricht}}},
  year         = {{2022}},
}

@inbook{33268,
  author       = {{Goller, Michael and Hilkenmeier, Frederic}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{PLS-Based Structural Equation Modelling: An Alternative Approach to Estimating Complex Relationships Between Unobserved Constructs}}},
  doi          = {{10.1007/978-3-031-08518-5_12}},
  year         = {{2022}},
}

@inbook{33266,
  author       = {{Goller, Michael and Kyndt, Eva and Paloniemi, Susanna and Damşa, Crina}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Addressing Methodological Challenges in Research on Professional Learning and Development}}},
  doi          = {{10.1007/978-3-031-08518-5_1}},
  year         = {{2022}},
}

@inbook{33271,
  author       = {{Leidig, Susann and Köhler, Hanna and Caruso, Carina and Goller, Michael}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Q Method: Assessing Subjectivity Through Structured Ranking of Items}}},
  doi          = {{10.1007/978-3-031-08518-5_20}},
  year         = {{2022}},
}

@inbook{33269,
  author       = {{Steffen, Bianca and Pouta, Maikki}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Participant’s Video Annotations as a Database to Measure Professional Development}}},
  doi          = {{10.1007/978-3-031-08518-5_13}},
  year         = {{2022}},
}

@inbook{33267,
  author       = {{Rausch, Andreas and Goller, Michael and Steffen, Bianca}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Uncovering Informal Workplace Learning by Using Diaries}}},
  doi          = {{10.1007/978-3-031-08518-5_3}},
  year         = {{2022}},
}

@inbook{33270,
  author       = {{Harteis, Christian}},
  booktitle    = {{Methods for Researching Professional Learning and Development}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Delphi-Technique as a Method for Research on Professional Learning}}},
  doi          = {{10.1007/978-3-031-08518-5_16}},
  year         = {{2022}},
}

@article{32094,
  author       = {{Goller, Michael and Steffen, Bianca and Lau, D.}},
  journal      = {{Professionalisierung der Gesundheitsberufe. Berufliche und hochschulische Bildung im Spiegel aktueller Forschung}},
  number       = {{33}},
  publisher    = {{Franz Steiner Verlag}},
  title        = {{{Kompetenzerwerb auf der Schulstation: Eine Mixed-Methods-Replikationsstudie}}},
  year         = {{2022}},
}

@phdthesis{32856,
  author       = {{Endres-Fröhlich, Angelika Elfriede}},
  title        = {{{Essays on Industrial Organization and Networks: Retail Bundling, Exclusive Dealing, and Network Disruption}}},
  doi          = {{10.17619/UNIPB/1-1581}},
  year         = {{2022}},
}

@book{33275,
  editor       = {{Goller, Michael and Kyndt, Eva and Paloniemi, Susanna and Damşa, Crina}},
  isbn         = {{9783031085178}},
  issn         = {{2210-5549}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Methods for Researching Professional Learning and Development}}},
  doi          = {{10.1007/978-3-031-08518-5}},
  year         = {{2022}},
}

@inbook{30941,
  abstract     = {{Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between
decision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning.}},
  author       = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Decision Support Systems XII: Decision Support Addressing Modern Industry, Business, and Societal Needs}},
  publisher    = {{Springer}},
  title        = {{{Decision Support Ecosystems: Definition and Platform Architecture}}},
  doi          = {{10.1007/978-3-031-06530-9_8}},
  volume       = {{447}},
  year         = {{2022}},
}

@inproceedings{33281,
  abstract     = {{Corporate decision makers have individual requirements for decision support influenced by business goals, regulatory restrictions or access to resources such as data. Ideally, decision makers could quickly create tailored decision support systems (DSS) themselves which optimally address their individual requirements for decision support. Although service-oriented architectures have been proposed for DSS customization, they are primarily targeting trained software developers and cannot immediately be adapted by decision makers or domain experts with little to no software development knowledge. In this paper, we therefore motivate an assisted process-based service composition approach which can be used by non-developers to create tailored DSS. For assistance during service composition, we contribute a meta-model for the formalization of both decision support requirements and functionality of decision support services. Models created according to the meta-model can be used to detect mismatches between a decision maker’s requirements for decision support and services selected in the service composition representing a DSS. Furthermore, the formalizations may even be used for automated service composition given a decision maker’s decision support requirements. We demonstrate the expressiveness of our meta-model in the domain of regional energy distribution network planning.}},
  author       = {{Kirchhoff, Jonas and Weskamp, Christoph and Engels, Gregor}},
  booktitle    = {{Human-Centered Software Engineering}},
  editor       = {{Bernhaupt, Regina and Ardito, Carmelo and Sauer, Stefan}},
  isbn         = {{978-3-031-14785-2}},
  pages        = {{150–162}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Requirements-Based Composition of Tailored Decision Support Systems}}},
  doi          = {{10.1007/978-3-031-14785-2_10}},
  volume       = {{13482}},
  year         = {{2022}},
}

@article{33264,
  abstract     = {{We investigate bifurcations in feedforward coupled cell networks. Feedforward structure (the absence of feedback) can be defined by a partial order on the cells. We use this property to study generic one-parameter steady state bifurcations for such networks. Branching solutions and their asymptotics are described in terms of Taylor coefficients of the internal dynamics. They can be determined via an algorithm that only exploits the network structure. Similar to previous results on feedforward chains, we observe amplifications of the growth rates of steady state branches induced by the feedforward structure. However, contrary to these earlier results, as the interaction scenarios can be more complicated in general feedforward networks, different branching patterns and different amplifications can occur for different regions in the space of Taylor coefficients.}},
  author       = {{von der Gracht, Sören and Nijholt, Eddie and Rink, Bob}},
  issn         = {{0951-7715}},
  journal      = {{Nonlinearity}},
  keywords     = {{Applied Mathematics, General Physics and Astronomy, Mathematical Physics, Statistical and Nonlinear Physics}},
  number       = {{4}},
  pages        = {{2073--2120}},
  publisher    = {{IOP Publishing}},
  title        = {{{Amplified steady state bifurcations in feedforward networks}}},
  doi          = {{10.1088/1361-6544/ac5463}},
  volume       = {{35}},
  year         = {{2022}},
}

@inproceedings{33288,
  author       = {{Moritzer, Elmar and Bürenhaus, Franziska Isabelle}},
  booktitle    = {{37th International Conference of the Polymer Processing Society (PPS)}},
  location     = {{Fukuoka (Japan)}},
  title        = {{{Influence of Screw Design on Fiber Breakage of Glass Fiber Reinforced Polypropylene in the Injection Molding Process}}},
  year         = {{2022}},
}