Naomi Haefner
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Prof. Dr.
Last Name
Haefner
First name
Naomi
Email
naomi.haefner@unisg.ch
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Phone
+41 71 224 72 32

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  • Publication
    We “demand” to know: is AI really everywhere (in management research)?
    ( 2024-09)
    Jamie Gloor orcid-logo
    ;
    Ivo Blohm orcid-logo
    ;
    Emanuel de Bellis
    ;
    Tobias Ebert
    ;
    Naomi Haefner orcid-logo
    ;
    Johannes Schöning orcid-logo
    ;
    Charlotta Siren
    ;
    Clemens Stachl orcid-logo
    ;
    Katja Einola
    Research on Artificial Intelligence (AI) and its use has proliferated (Patra et al., 2024), matching the pace of technological advances in the field of AI and its presence in business. For example, since the release of ChatGPT in November 2022, CEO and CFO mentions of “AI” in earnings calls have skyrocketed from 500 to 30,000+ (Estrada, 2024). While it is encouraging that scholars and top leaders are rising to the occasion and rallying around such an important topic, this rapid, recent, and far-reaching interest in AI across research and practice is also affecting ostensibly unrelated research fields. That is, the hype around AI might have profound, unintended effects on aspects of research that we have not yet considered. In this discussion piece, we theorize and empirically explore AI demand effects (i.e., the tendency for participants to think that a study is about AI and therefore alter their behaviors). We need to understand these AI demand effects, because they might broadly influence our scientific evidence and interpretations of research related to AI–and beyond.
    Type: conference contribution
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/120681
  • Publication
    Teaching innovation management with large language models
    (AOM Academy of Management, 2024-08-11)
    Naomi Haefner orcid-logo
    ;
    Riniker, Maria
    ;
    Sarah Mueller-saegebrecht
    ;
    Sebastian Bouschery
    Our PDW addresses the integration of Artificial Intelligence (AI) into the teaching of innovation management, a crucial skill for innovation educators. The workshop takes a blended didactic approach, combining theoretical insights with practical exercises on AI tools to enhance participants' understanding and application skills. The PDW covers three main parts. First, the use of ChatGPT-4 for idea generation and creativity in an executive master's course will be explored. This segment shows how AI helps in the development of innovative product ideas and how effective different creativity techniques are in interaction with AI. The second segment looks at the role of AI in developing business cases and model refinement in undergraduate settings. Here we focus on formulating effective prompts and comparing the performance of ChatGPT-3.5 and ChatGPT-4 in analyzing business models. The final part of the workshop deals with the responsible use of AI in teaching. It looks at the ethical integration of AI tools and discusses the reliability of AI-generated content and its impact on management education. This part provides educators with knowledge about the ethical use of AI. Hence, this PDW provides practical knowledge of AI applications in teaching innovation management. It also aims to foster a learning community focused on the competent and responsible use of AI in higher education. Participants will leave with a comprehensive understanding and guide for adapting AI practices in their educational environments.
    Type: conference contribution
    URL: https://cdmcd.co/vaBnEP
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/120639
  • Publication
    The Nexus Between Artificial Intelligence and the Behavioral Theory of the Firm
    (AOM Academy of Management, 2020-08)
    Häfner, Naomi orcid-logo
    ;
    Burkhard, Barbara
    ;
    Bettis, Richard A.
    ;
    Piezunka, Henning
    ;
    Posen, Hart E.
    ;
    Puranam, Phanish
    ;
    Raisch, Sebastian
    ;
    Teodoridis, Florenta
    The Behavioral Theory of the Firm (BTF; Cyert & March, 1963) has, essentially since its inception, been intimately linked with AI. However, since the original pioneering work by behavioral theorists on the importance of AI for our understanding of the functioning of organizations, great strides have been made in AI technologies. Hence, the time is ripe to reevaluate both the central assumptions of the behavioral theory of the firm and its key implications. Consequently, this panel symposium intends to open up a dialogue about whether and how our understanding of the BTF has changed and, perhaps, how it should still change in response to and in step with advancements in artificial intelligence. The main purpose of this Symposium is to engage a group of panelists in a moderated and interactive discussion on the questions pertaining to the nexus between AI and the BTF. More specifically, the panelists will (1) discuss how – in the light of the technological advances of AI – the BTF has changed and should be further reevaluated, (2) identify challenges and opportunities researchers face in linking AI to behavioral theory, and (3) discuss ways forward. Moreover, this symposium aims to build a network of scholars from different career stages and divisions who share an interest in this topic.
    Type: conference contribution
    URI: https://www.alexandria.unisg.ch/handle/20.500.14171/111919