Imhof, Denis

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Denis
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Denis Imhof

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    Publikation
    Position paper - Hybrid artificial intelligence for realizing a leadership assistant for platform-based leadership consulting
    (Springer, 2023) Gatziu Grivas, Stella; Imhof, Denis; Gachnang, Phillip; Soffer, Pnina; Ruiz, Marcela [in: Advanced information systems engineering workshops: CAiSE 2023 international workshops, Zaragoza, Spain, June 12-16, 2023, proceedings]
    Digital technologies enable new forms of value creation, value proposition, and value capturing for all kinds of organizations in all kinds of industries. Often, companies strive to digital transform and obtain consultancy services due to missing expert knowledge on how to approach the transformation. Interestingly, research shows that the consulting industry itself shows a high potential for a digital transformation, but platform-based consulting models and self-service consulting models are still underdeveloped. With this position paper, the authors propose an own approach on how to integrate human expert knowledge and machine learning in a novel hybrid artificial intelligence and platform-based consulting model, which not only offers the potential to transform the consultancy industry but also supports organizations in their transformation efforts. The authors take the area of digital leadership consulting to illustrate this.
    04A - Beitrag Sammelband
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    Publikation
    Towards a leadership model focusing on mistake making culture enhanced by collective intelligence
    (2023) Heimann, Sandro; Imhof, Denis; Gatziu Grivas, Stella [in: Proceedings of the 23th European Academy of Management EURAM Conference]
    This exploratory research paper introduces a novel approach for organizational error management based on a prototype model combining a positive mistakes-making culture with the use of collective intelligence. The model allows to identify mistakes and problems in everyday work in organizations along predefined key performance indicators (KPIs), such as they are represented by the Balanced Score Card (BSC). The model includes four problem-solving elements which are applied in a circular manner to counteract the problem areas and ultimately improve the chosen KPIs sustainably. The introduction of the four problem-solving elements is the main contribution of this paper. The elements have been iteratively developed using a Design Science Research methodology, consisting of multiple semi-structured interviews with seasoned experts with management experience. To enhance the applicability of the model in practice, a detailed questionnaire has been developed to guide decision-makers in using the. Additionally, a hypothetical use case is discussed for a potential application of the model. The model is laid out to be applicable in different organizations as well as on different hierarchical levels, depending on the autonomy of the teams or departments.
    04B - Beitrag Konferenzschrift