Institut für Marketing & Management

Permanent URI for this collectionhttps://hohpublica.uni-hohenheim.de/handle/123456789/29

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Browsing Institut für Marketing & Management by Sustainable Development Goals "4"

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    AI-enabled information systems: teaming up with intelligent agents in networked business
    (2024) Hofmann, Peter; Urbach, Nils; Lanzl, Julia; Desouza, Kevin C.; Hofmann, Peter; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Urbach, Nils; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Lanzl, Julia; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Desouza, Kevin C.; School of Management, Faculty of Business & Law, Queensland University of Technology, Brisbane, Australia
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    Emotions and entrepreneurial finance: analysis of venture capitalists’ and business angels’ digital footprints on Twitter
    (2024) Kaiser, Manuel; Kuckertz, Andreas; Kaiser, Manuel; Entrepreneurship Research Group, University of Hohenheim, Wollgrasweg 49, 70599, Stuttgart, Germany; Kuckertz, Andreas; Entrepreneurship Research Group, University of Hohenheim, Wollgrasweg 49, 70599, Stuttgart, Germany
    Emotions are a central concept in previous entrepreneurship research, but this is mainly related to entrepreneurs and their entrepreneurial journey. However, venture capitalists (VCs) and business angels (BAs), two critical investors in the entrepreneurial finance literature, are essential actors in the entrepreneurial process. Still, little is known about investor emotions in this context. Therefore, in this study, we ask how venture capitalists differ from business angels in terms of their expressed emotions. To this end, we use an increasingly familiar research approach by examining the digital footprints of these investors on Twitter. For this purpose, we identify 822 investors from Crunchbase and analyze their 994,969 Tweets with Linguistic Inquiry and Word Count (LIWC) as a text analysis tool. Our results show that venture capitalists display more positive emotions on Twitter than angel investors, meaning that we find an association between VCs and emotional tone. Furthermore, in our post-hoc analysis, we explore further explanations for the differences between VC and BA. In doing so, we show differences in their expressed cognitive processes as well as in their communicated drivers. In both concepts, we find positive associations with the investor type of VC. To conclude this paper, we develop implications for practice and further research based on the results.
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    Palliative care as a digital working world (PALLADiUM) - a mixed-method research protocol
    (2023) Grimminger, Sandra; Heckel, Maria; Markgraf, Moritz; Peuten, Sarah; Wöhl, Moritz; Gimpel, Henner; Klein, Carsten; Ostgathe, Christoph; Steigleder, Tobias; Schneider, Werner
    Background: In Palliative Care, actors from different professional backgrounds work together and exchange case-specific and expert knowledge and information. Since Palliative Care is traditionally distant from digitalization due to its holistically person-centered approach, there is a lack of suitable concepts enabling digitalization regarding multi-professional team processes. Yet, a digitalised information and collaboration environment geared to the requirements of palliative care and the needs of the members of the multi-professional team might facilitate communication and collaboration processes and improve information and knowledge flows. Taking this chance, the presented three-year project, PALLADiUM, aims to improve the effectiveness of Palliative Care teams by jointly sharing available inter-subjective knowledge and orientation-giving as well as action-guiding practical knowledge. Thus, PALLADiUM will explore the potentials and limitations of digitally supported communication and collaboration solutions. Methods: PALLADiUM follows an open and iterative mixed methods approach. First, ethnographic methods – participant observations, interviews, and focus groups – aim to explore knowledge and information flow in investigating Palliative Care units as well as the requirements and barriers to digitalization. Second, to extend this body, the analysis of the historical hospital data provides quantitative insights. Condensing all findings results in a to-be work system. Adhering to the work systems transformation method, a technical prototype including artificial intelligence components will enhance the collaborative teamwork in the Palliative Care unit. Discussion: PALLADiUM aims to deliver decisive new insights into the preconditions, processes, and success factors of the digitalization of a medical working environment as well as communication and collaboration processes in multi-professional teams.