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Veröffentlichungen der Fakultät für Wirtschaftswissenschaften und Medien ab 2015

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Döring, Nicola; Mohseni, Rohangis;
Mobiles Lernen. - In: Handbuch Bildungstechnologie. - Berlin : Springer, (2020), S. 259-270

Pezoldt, Kerstin; Correns, Anne; Zajko, Marian;
Preannouncement of new products: overcoming individual adoption barriers. - In: Balkan Region Conference on Engineering and Business Education : Conference proceedings.. - Warsaw : De Gruyter Open, ISSN 2391-8160, (2020), S. 169-179

https://doi.org/10.2478/cplbu-2020-0020
Döring, Nicola;
Internet-Sexualität und Identitätsarbeit. - In: Handbuch Soziale Praktiken und Digitale Alltagswelten. - Wiesbaden, Germany : Springer VS, (2020), S. 301-312

Döring, Nicola;
Sexualität in der Pflege: zwischen Tabu, Grenzüberschreitung und Lebenslust. - In: Pflege. - Bonn : Bundeszentrale für politische Bildung bpb, (2020), S. 266-278

Döring, Nicola; Mohseni, Rohangis;
Geschlechtsspezifische Hassrede in YouTube- und YouNow-Kommentaren: Ergebnisse von zwei Inhaltsanalysen :
Gendered hate speech in YouTube and YouNow comments: results of two content analyses. - In: Studies in communication and media : SC|M.. - Baden-Baden : Nomos, ISSN 2192-4007, Bd. 9 (2020), 1, S. 62-88

https://doi.org/10.5771/2192-4007-2020-1-62
Döring, Nicola;
Sexuality-related use of digital media : opportunities for and risks to men's sexual health
Sexualbezogene Nutzung digitaler Medien : Chancen und Risiken für die sexuelle Gesundheit von Männern. - In: Ärztliche Psychotherapie : psychosomatische Medizin und psychosomatische Grundversorgung.. - Stuttgart : Thieme, ISSN 2625-0764, Bd. 15 (2020), 2, S. 95-100

https://doi.org/10.21706/aep-15-2-95
Döring, Nicola;
Digitale Sexualaufklärung: neue Herausforderungen für die Sexualpädagogik. - In: AJS-Informationen. - Stuttgart : Aktion Jugendschutz, Landesarbeitsstelle Baden-Württemberg, ISSN 0720-3551, Bd. 56 (2020), 1, S. 10-16

Budzinski, Oliver; Gruševaja, Marina; Noskova, Victoriia;
The economics of the German investigation of Facebook's data collection. - Ilmenau : Ilmenau University of Technology, Institute of Economics, 2020. - 1 Online-Ressource (43 Seiten). . - (Ilmenau economics discussion papers. - vol. 26, no. 139)

The importance of digital platforms and related data-driven business models is ever increasing and poses challenges for the workability of competition in the respective markets (tendencies towards dominant platforms, paying-with-data instead of traditional money, privacy concerns, etc.). Due to such challenges, investigations of such markets are of high interest. One of recent cases is the investigation of Facebook's data collection practices by German competition authorities. Our paper, in contrast to the wide stream of legal studies on this case, aims to analyze whether Facebook's practices regarding data collection could constitute an abuse of market power from an economic perspective, more specifically against the background of modern data economics. In doing so we summarize the state of the advanced theories, including influences from behavioral economics, addressing such markets, and discuss four potential theories of harm.



https://www.db-thueringen.de/receive/dbt_mods_00042255
Schulte, Julian; Günther, Maik; Nissen, Volker
Evolutionary bilevel approach for integrated long-term staffing and scheduling. - Ilmenau : Technische Universität Ilmenau, Fakultät für Wirtschaftswissenschaften und Medien, Institut für Wirtschaftsinformatik. - 1 Online-Ressource (ii, 13 Seiten). . - (Ilmenauer Beiträge zur Wirtschaftsinformatik. - 2020,2) ISBN 978-3-938940-63-1
- Paper presented at MISTA 2017, Kuala Lumpur/Malaysia, Dec. 2017

Determining size and structure of a companys workforce is one of the most challenging tasks in human resource planning, especially when considering a long-term planning horizon with varying demand. In this paper an approach for integrated staffing and scheduling in a strategic long-term context is presented by applying evolutionary bilevel optimization. For demonstration, the example of determining the number of employees in different categories over the period of one year in a midsized call center of a utility is used. In doing so, two contrary objectives were optimized simultaneously: reduce the overall workforce costs and retain a high scheduling quality. The results show that the proposed approach could be used to support corporate decision making related to strategic workforce planning, not only for call centers but for any other kind of workforce planning involving personnel scheduling.



https://nbn-resolving.org/urn:nbn:de:gbv:ilm1-2020200306
Schulte, Julian; Nissen, Volker
Holistic workforce planning: integrating staffing, shift design and scheduling using evolutionary bilevel optimization. - Ilmenau : Technische Universität Ilmenau, Fakultät für Wirtschaftswissenschaften und Medien, Institut für Wirtschaftsinformatik. - 1 Online-Ressource (ii, 16 Seiten). . - (Ilmenauer Beiträge zur Wirtschaftsinformatik. - 2020,1) ISBN 978-3-938940-62-4
- Paper presented at MISTA 2019, Ningbo/China, Dec. 2019

Personnel scheduling is an important and challenging task that arises in a variety of application areas. Scheduling quality, however, strongly depends on the results of the preceding activities of staffing and shift design. This paper presents a novel approach that integrates staffing, shift design and scheduling into one optimization problem for the first time, providing a holistic view of the workforce planning process. By applying an evolutionary multi-objective bilevel algorithm, the three objectives staffing costs, number of shifts and scheduling quality are optimized simultaneously. The experimental results show that the presented holistic approach is suitable to support decision making regarding staffing as well as shift design by showing the decision maker tradeoffs between different solution alternatives. Furthermore, applying the holistic approach reveals new promising solution areas and valuable individual solutions, which would not have been found when optimizing sequentially.



https://nbn-resolving.org/urn:nbn:de:gbv:ilm1-2020200292