@article{AbramovaBatzelModesti2022,
  author    = {Abramova, Olga and Batzel, Katharina and Modesti, Daniela},
  title     = {Collective response to the health crisis among German Twitter users},
  series = {International Journal of Information Management Data Insights},
  volume    = {2},
  journal   = {International Journal of Information Management Data Insights},
  number    = {2},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2667-0968},
  doi       = {10.1016/j.jjimei.2022.100126},
  pages     = {13},
  year      = {2022},
  abstract  = {We used structural topic modeling to analyze over 800,000 German tweets about COVID-19 to answer the questions: What patterns emerge in tweets as a response to a health crisis? And how do topics discussed change over time? The study leans on the goals associated with the health information seeking (GAINS) model, discerning whether a post aims at tackling and eliminating the problem (i.e., problem-focused) or managing the emotions (i.e., emotion-focused); whether it strives to maximize positive outcomes (promotion focus) or to minimize negative outcomes (prevention focus). The findings indicate four clusters salient in public reactions: 1) "Understanding" (problem-promotion); 2) "Action planning" (problem-prevention); 3) "Hope" (emotion-promotion) and 4) "Reassurance" (emotion-prevention). Public communication is volatile over time, and a shift is evidenced from self-centered to community-centered topics within 4.5 weeks. Our study illustrates social media text mining's potential to quickly and efficiently extract public opinions and reactions. Monitoring fears and trending topics enable policymakers to rapidly respond to deviant behavior, like resistive attitudes toward containment measures or deteriorating physical health. Healthcare workers can use the insights to provide mental health services for battling anxiety or extensive loneliness from staying home.},
  language  = {en}
}
@incollection{HaaseThimBender2022,
  author    = {Haase, Jennifer and Thim, Christof and Bender, Benedict},
  title     = {Expanding modeling notations},
  series = {Business process management workshops},
  volume    = {436},
  booktitle = {Business process management workshops},
  editor    = {Marrella, Andrea and Weber, Barbara},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-94342-4},
  doi       = {10.1007/978-3-030-94343-1_15},
  pages     = {197 -- 208},
  year      = {2022},
  abstract  = {Creativity is a common aspect of business processes and thus needs a proper representation through process modeling notations. However, creative processes constitute highly flexible process elements, as new and unforeseeable outcome is developed. This presents a challenge for modeling languages. Current methods representing creative-intensive work are rather less able to capture creative specifics which are relevant to successfully run and manage these processes. We outline the concept of creative-intensive processes and present an example from a game design process in order to derive critical process aspects relevant for its modeling. Six aspects are detected, with first and foremost: process flexibility, as well as temporal uncertainty, experience, types of creative problems, phases of the creative process and individual criteria. By first analyzing what aspects of creative work modeling notations already cover, we further discuss which modeling extensions need to be developed to better represent creativity within business processes. We argue that a proper representation of creative work would not just improve the management of those processes, but can further enable process actors to more efficiently run these creative processes and adjust them to better fit to the creative needs.},
  language  = {en}
}