Listen
10 Ergebnisse
Bereich: Suchergebnisse
Publikation Künstliche Intelligenz in der digitalen Markenführung. Entwicklung einer KI-unterstützten Markenstrategie und deren exemplarischer Umsetzung(Hochschule für Wirtschaft FHNW, 01.12.2024) Moser, Harriet; Casanova, MarcoDie digitale Transformation durch künstliche Intelligenz (KI) stellt Bildungsinstitute vor strategische Herausforderungen. Diese Studie untersucht am Beispiel des Coachingzentrums die systematische Integration von KI in die Markenführung. Die Arbeit zeigt, dass Bildungsanbieter wie das Coachingzentrum in der KI-Integration noch am Anfang stehen und skizziert eine Strategie, um KI-Technologien strategisch und ganzheitlich einzusetzen. Die vorgeschlagene KI-gestützte Markenstrategie zielt auf die Optimierung von Content-Erstellung und Suchmaschinenoptimierung ab, um Markenwahrnehmung und Wettbewerbsfähigkeit zu verbessern. Die Studie leistet einen wissenschaftlichen Beitrag zur strategischen KI-Integration in Bildungsorganisationen und verdeutlicht das Potenzial gezielter digitaler Transformationsprozesse für kleine Bildungsinstitute. Die Ergebnisse der Arbeit leisten einen Beitrag zur Diskussion über die Rolle von KI in Bildungsmarken und ermutigen Bildungseinrichtungen, KI reflektiert und innovativ zu nutzen, um gesellschaftlichen und wirtschaftlichen Mehrwert zu schaffen.11 - Studentische ArbeitPublikation Speeding up, slowing down. Language, temporality and the constitution of migrant workers as labour force(Routledge, 2021) Del Percio, AlfonsoThis article offers an original ethnographic documentation of employability schemes targeting migrants in contemporary Italy. It argues that analysts’ current theorisations of time and space compression do not help us understand the multiple temporalities that migrants are subjected to when crossing borders, including those of labour market regimes. This ethnographic account is informed by a scholarship of migration that has extensively documented how the acceleration of movement and access to language, citizenship or work co-exist with experiences of waiting, elongation, withdrawal and delay – processes that complicate our understanding of the temporal regimes migrants are subjected to. Through a thick documentation of the experiences of unemployed migrants, job counsellors and other social actors in employability programmes in Rome, this article argues that both speeding up and slowing down are technologies of temporal management, including time–space compression, elongation and partitioning. These technologies regulate the time and speed of migrants’ incorporation into the labour market and allow the performance of processes of differential inclusion.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Success factors of deep tech incubators. A qualitative study(2024) Meyer, Dario; Colonna, Francesco; Meyer, Rolf; Buisine, StéphanieDeep tech start-ups, characterized by their focus on groundbreaking technologies and scientific advancements, face unique challenges that demand specialized support systems for their development and market entry. This paper presents a qualitative analysis based on ten interviews with managers of deep tech incubators, exploring the services offered, critical success factors, challenges and anticipated future changes. The services provided by incubators are comprehensive, ranging from technical and business mentorship to assistance in regulatory processes and access to financial resources. The study identifies that the success of deep tech incubators depends on customized support for start-ups, access to expertise and facilities, and a strong ecosystem and community network. Customized support ensures that the unique needs of each start-up are met, while access to technical resources and a vibrant network facilitates innovation and growth. Challenges such as cultural and mindset differences, operational difficulties, and regulatory navigation underscore the complex landscape in which these incubators operate. Anticipated changes within the next few years include a shift in investment focus towards projects with significant societal impact, an increase in international collaboration, and a deeper recognition of deep tech's role in solving global challenges. This paper contributes to the understanding of deep tech incubation, highlighting the support required to foster innovation in this sector. The insights from this study can inform policymakers, investors, and managers of deep tech incubators on fostering a conducive environment for innovation and growth in the deep tech sector.04B - Beitrag KonferenzschriftPublikation Genealogies of reflexivity. Register formations and the making of affective workers(De Gruyter, 2022) Del Percio, AlfonsoHow has the ability to express reflexivity, including regulating affect, come to be part of the bundled self that workers are required to be? This paper offers a rigorous genealogical analysis of the multiple histories of knowledge and power that have informed the emergence and shaping of ‘reflexive registers,’ or socially typified ways of speaking and reflecting about oneself that stand for morally marked models of selfhood. It takes as a starting-point programs documented in my ethnography of employability programs in London, UK where workers of all sorts are asked to learn to examine their personalities and to express their feelings. It then draws on original historiographical and ethnographic data that allows documentation of the logics and circumstances informing the emergence and development of reflexivity as a resource for employability. It argues for an interdisciplinary understanding of reflexivity and its communicability that theorises the workers as products of history, capital, and affect.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Emigration and start-up setting. New Russian and Ukranian intelligentsia in a historical perspective(Springer Cham, 2024) Schulte, Volker; Hinz, Andreas; Verkuil, Arie HansThe article describes Russian and Ukrainian entrepreneurs working abroad. According to interviews there is no exchange of entrepreneurs for cooperation of both countries.The article describes the boundaries and challenges of making business abroad.04A - Beitrag SammelbandPublikation Familiarity, use, and perception of AI-powered tools in higher education(ToKnowPress, 2024) Nikoulina, Anya; Caroni, Anna; Dermol, ValerijPurpose: AI-powered tools and the use of these tools for teaching and learning have grown exponentially. While there are several studies that examine students' use of AI tools for learning, the results are inconclusive. The purpose of this study is to gain a better understanding of students' familiarity and use of various AI-powered tools for learning, and to gain greater insight into students' perspectives on the benefits and risks of using AI-powered tools in educational settings. Study design/methodology/approach: The study deployed a survey to understand and compare the degree of familiarity and use of AI-powered tools among first and final-year university students. Additionally, several questions focused specifically on students' concerns regarding the use of AI in their studies. Findings: Results indicate that first-year students exhibited a higher level of familiarity with AI tools prior to the start of their studies, while final-year students demonstrated a deeper and more diverse usage of these technologies. Despite concerns raised, the study does not conclusively support negative impacts on student engagement or development of critical thinking skills. While the study indicated that students are well aware of the general limitations of AI use, they did feel not well supported nor informed as to how AI-powered tools can be used within their studies and have expressed the need for greater support and guidance from the university. Originality/value: Research findings have significant implications for educational institutions and policymakers as they strive to leverage AI effectively to enhance the learning experience while addressing concerns and preferences in this rapidly evolving educational environment.04B - Beitrag KonferenzschriftPublikation 04B - Beitrag KonferenzschriftPublikation 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