Now showing 1 - 10 of 67
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Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress

2024 , Martin Maritsch , Simon Föll , Vera Lehmann , Naïma Styger , Caterina Bérubé , Mathias Kraus , Stefan Feuerriegel , Tobias Kowatsch , Thomas Züger , Elgar Fleisch , Felix Wortmann , Christoph Stettler

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Bidding on a peer-to-peer energy market - an expoloratory field study

2022-09-09 , Wörner, Anselma Meret , Tiefenbeck, Verena , Wortmann, Felix , Meeuw, Arne , Ableitner, Liliane , Fleisch, Elgar , Azevedo, Inês

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A Maturity Model for Management Control Systems : Five Evolutionary Steps to Guide Development

2012-08-01 , Marx, Frederik , Wortmann, Felix , Mayer, Jörg H.

The ‘right' configuration of Management Control Systems (MCSs) is still challenging. Aligning reporting, planning, and consolidation from a functional, organizational, and IT perspective needs systematic guidance. The empirically grounded MCS maturity model guides such a development by outlining an evolution from a basic, mandatory/external-driven MCS (level 1), to a balanced MCS (level 2), and a comprehensive MCS (level 3). Ultimately, MCSs show a strong strategic focus (level 4) and leverage the potentials of modern IT (level 5).

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Frontends für Führungskräfte - endlich zielgruppentauglich?

2011-12 , Knopf, Stefan , Wortmann, Felix

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Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars

2024 , Vera Lehmann , Thomas Zueger , Martin Maritsch , Michael Notter , Simon Schallmoser , Caterina Bérubé , Caroline Albrecht , Mathias Kraus , Stefan Feuerriegel , Elgar Fleisch , Tobias Kowatsch , Sophie Lagger , Markus Laimer , Felix Wortmann , Christoph Stettler

BACKGROUND Hypoglycemia, one of the most dangerous acute complications of diabetes, poses a substantial risk for vehicle accidents. To date, both reliable detection and warning of hypoglycemia while driving remain unmet needs, as current sensing approaches are restricted by diagnostic delay, invasiveness, low availability, and high costs. This research aimed to develop and evaluate a machine learning (ML) approach for the detection of hypoglycemia during driving through data collected on driving characteristics and gaze/head motion. METHODS We collected driving and gaze/head motion data (47,998 observations) during controlled euglycemia and hypoglycemia from 30 individuals with type 1 diabetes (24 male participants; mean ±SD age, 40.1±10.3 years; mean glycated hemoglobin value, 6.9±0.7% [51.9±8.0 mmol/mol]) while participants drove a real car. ML models were built and evaluated to detect hypoglycemia solely on the basis of data regarding driving characteristics and gaze/head motion. RESULTS The ML approach detected hypoglycemia with high accuracy (area under the receiver-operating characteristic curve [AUROC], 0.80±0.11). When restricted to either driving characteristics or gaze/head motion data only, the detection performance remained high (AUROC, 0.73±0.07 and 0.70±0.16, respectively). CONCLUSIONS Hypoglycemia could be detected noninvasively during real car driving with an ML approach that used only data on driving characteristics and gaze/head motion, thus improving driving safety and self-management for people with diabetes. Interpretable ML also provided novel insights into behavioral changes in people driving while hypoglycemic. (Funded by the Swiss National Science Foundation and others; ClinicalTrials.gov numbers, NCT04569630 and NCT05308095.)

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Geld verdienen im IoT – aber wie?

2019-09-25 , Wortmann, Felix , Bilgeri, Dominik , Gebauer, Heiko , Lamprecht, Claudio , Fleisch, Elgar

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Ein Reifegradmodell für Unternehmenssteuerungssysteme

2012-08-01 , Marx, Frederik , Wortmann, Felix , Mayer, Jörg H.

Corporate management in today's international companies has become increasingly complex. To cope with these growing challenges, information technology (IT)-based management control systems (MCSs), reporting, planning, and consolidation systems have been deployed. Despite their tradition in management research, the right configuration of MCSs is still challenging. Maturity models (MMs) are an established instrument to identify strengths and weaknesses of certain domains. As existing MMs focus on single MCSs, neglect an IT perspective and miss a sound methodical foundation, this paper outlines an empirically and algorithmically constructed MCS-MM. The model consists of three partial MMs for reporting, planning, and consolidation, which are integrated into one holistic MCS MM. The five levels of the MCS MM guide MCS evolution from a financial and corporate center-centric MCS (level 1) to a basic corporate MCS (level 2), and a comprehensive corporate MCS (level 3). Additionally, the MCS recommends a strong strategic orientation (level 4) and the leverage of potentials of modern IT support (level 5).

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Data-driven business and data privacy: Challenges and measures for product-based companies

2023 , Fabian Alfred Schäfer , Heiko Gebauer , Christoph Gröger , Oliver Gassmann , Felix Wortmann

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Process Performance Management - A Systematic Problem Analysis and Identification of Design Principles

2012-10-01 , Cleven, Anne , Winter, Robert , Wortmann, Felix

Business processes are the means by which organisations create value. Consequently, organisations need to continuously monitor and control their processes' performance so as to provide a consistent and predictable execution quality. A number of today's organisations, however, appear to encounter difficulties with measuring and improving their processes' performance. In this paper, we set out to identify the gap between how organisations currently approach process performance management (PPM) and what they are striving to realise in the future. The systematic gap analysis results in a set of design factors that are valuable in guiding future design efforts for useful and relevant PPM solutions.

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Business Intelligence systematisch entwickeln

2012-01-01 , Winter, Robert , Wortmann, Felix