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Publikation Digitalizing B2B business processes—The learnings from e-invoicing(Springer, 2018) Richter, Sarah-Louise; Tanner, Christian; Dornberger, RolfDigitalizing an existing business process often proves to be more complicated than expected. This article provides insights into obstacles and success factors when digitalizing a business process, using the example of the transition from a paper-based process of handling invoices to electronic invoicing. Since e-invoicing has gained significant momentum in recent years from a business perspective as well as from governments all over the world, it provides an interesting area in which to investigate digitalization. Drawing from input collected in more than 10 years of research on the topic of e-invoicing, the authors illustrate why digitalization is still not easily achieved, despite the obvious advantages, and elaborate on the key prerequisites for success. The results emphasize the importance of understanding the needs of one’s business partners and working closely with them when developing solutions. Furthermore, systematic project management and change management are important. However, as much as there is no “one size fits all” solution, there is also none that will last forever. Rather, as the business environment changes and technology matures, there will be a need to re-assess processes and solutions from time to time. Most importantly, the human factor of change cannot be underestimated. Besides standard change management practices, companies should seize the opportunity to develop their employees through the digitalization effort by engaging them in projects and decision-making processes. Acquiring project management skills, expert knowledge and experience in innovating business processes will serve as an invaluable asset in the long term.04A - Beitrag SammelbandPublikation Enterprise Maps: Zooming in and out of Enterprise Models(Hochschule für Wirtschaft FHNW, 2020) Spahic, Maja; Hinkelmann, KnutDo not get lost in the modeling space. The architecture of the company can be represented by domain-specific models, which in turn are defined by domain-specific modeling language. The individual models consist of graphical elements (symbols) and connections, which follow the domain-specific modeling language semantics and syntax. Since not all stakeholders are interested in the same models, dedicated views can be created to support navigation through the enterprise models. These views offer only a snippet of the entire company and cover stakeholder specific concerns. The relationships between the different views as well as models remain hidden and can only be unveiled with a lot of effort. A navigation approach that reveals these relationships and offers the ability to change the degree of detail using zoom in/out of the enterprise model would bring significant benefits to the decision makers. Relationships and dependencies between the models are visualized and the potential impact of a change to the company can be identified. Considered isolated, some solutions already exist for altering the degree of detail of a model. However, a concept that takes into account the different models as well as modeling languages used to express an enterprise and establishes a form of navigation similar to an online map has not yet been developed. This thesis examines a concept in which the separate connections between the different models on the various layers are illustrated by zooming in or out. The aim of this work is to introduce a concept that establishes the principle of zoomability....11 - Studentische ArbeitPublikation Leadership in the age of artificial intelligence - Exploring links and implications in internationally operating insurance companies(Springer, 08.07.2020) Resch, Dörte; Richter, Sarah-Louise; Dornberger, RolfThis study examines the effect of artificial intelligence (AI) on leadership in internationally operating insurance companies. Because insurance is a model example of a data-intensive industry, companies are already applying AI-powered technology and searching for opportunities for further use. However, any important step in automation may trigger a leadership shift and a research gap has been identified in the development of leadership positions in insurance companies confronted with the use of AI. Specifically, the objective is to investigate how leadership could change due to the introduction of AI as an example of digitalization. For this study within an interpretive paradigm, qualitative data were collected in 19 semi-structured interviews, with interviewees representing five insurance companies headquartered in Western Europe. The findings suggest that the use of AI and its implications for leadership are closely linked to the underlying structures of the industry, which has led to the existing leadership discourse and organizational metaphor in the first place. The implications of AI, in turn, depend on the leadership discourse and existing structures. Thus, if AI is used only in accordance with the current discourse, the implications for leadership are minimal. Therefore, it can be concluded that the use of AI-powered software itself is unlikely to trigger change in leadership. Nevertheless, AI holds significant potential for insurers. For example, AI could support the insurer’s core competencies, and connect companies with broader ecosystems and customer communities.04A - Beitrag SammelbandPublikation Führung im Zeitalter der künstlichen Intelligenz – Untersuchung der Einflüsse und Auswirkungen in international tätigen Versicherungsunternehmen(Springer Vieweg, 28.07.2023) Resch, Dörte; Richter, Sarah-Louise; Dornberger, RolfDiese Studie untersucht die Auswirkungen von künstlicher Intelligenz (KI) auf die Führung in international tätigen Versicherungsunternehmen. Da das Versicherungswesen ein mustergültiges Beispiel für eine datenintensive Branche ist, setzen Unternehmen bereits KI-gestützte Technologie ein und suchen nach Möglichkeiten für die weitere Nutzung. Jeder wichtige Schritt in der Automatisierung kann jedoch eine Verschiebung im Verständnis von Führung auslösen. Es wurde eine Forschungslücke in Bezug auf Führung in Versicherungsunternehmen festgestellt, die mit dem Einsatz von KI konfrontiert sind. Konkret soll untersucht werden, wie sich Führung durch den Einsatz von KI als Beispiel der Digitalisierung verändern könnte. Für diese Studie wurden im Rahmen eines interpretativen Ansatzes qualitative Daten in 19 semi-strukturierten Interviews erhoben, wobei die Befragten fünf Versicherungsunternehmen mit Hauptsitz in Westeuropa repräsentierten. Die Ergebnisse deuten darauf hin, dass der Einsatz von KI und seine Auswirkungen auf die Führung eng mit den zugrundeliegenden Strukturen der Branche verbunden sind, die überhaupt erst zu dem bestehenden Führungsdiskurs und Selbstverständnis der Organisation geführt haben. Die Auswirkungen von KI hängen wiederum vom Führungsdiskurs und den bestehenden Strukturen ab. Wird KI also nur in Übereinstimmung mit dem aktuellen Diskurs eingesetzt, sind die Auswirkungen auf die Führung minimal. Daraus lässt sich schließen, dass der Einsatz von KI-gestützter Software an sich kaum einen Wandel in der Führung auslösen wird. Dennoch birgt KI ein erhebliches Potenzial für Versicherungsunternehmen. So könnte KI beispielsweise die Kernkompetenzen des Versicherers unterstützen und Unternehmen mit breiteren Ökosystemen und Kundengemeinschaften verbinden.04A - Beitrag Sammelband
