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The Bosch IoT Lab investigates business models in the Internet of Things (IoT) and explores disruptive IoT products and services. In the realm of our business model research activities, we derive actionable insights to manage the digital transformation of large manufacturing companies. In the domain of technology and business incubation, we investigate the potential of the IoT, machine learning and blockchain to develop and validate disruptive solutions in the domains of mobility, health and energy. Ultimately, our mission is to support Bosch scale its IoT business, advance scientific knowledge, and create a meaningful impact for the better. The lab is a research initiative of:

LATEST NEWS

Understanding the Interactions Between Driving Behavior and Well-being in Daily Driving: Causal Analysis of a Field Study published in JMIR (IF 7.08)

August 31st, 2022|

We are delighted that our paper was published in the Journal of Medical Internet Research (JMIR). JMIR is the pioneer open access eHealth journal and [...]

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LATEST PROJECTS

Platform Navigator

Today, platform companies like Amazon, Alibaba, Apple and Google dominate our economy. In fact, eight out of the ten most valuable companies worldwide are built upon a [...]

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LATEST PUBLICATIONS

Paul, S., Wortmann, F., Koch, K., Understanding the Interactions Between Driving Behavior and Well-Being in Daily Driving: Causal Analysis of a Field Study, Paul Stephan, Felix Wortmann, and Kevin Koch. “Understanding the Interactions Between Driving Behavior and Well-Being in Daily Driving: Causal Analysis of a Field Study”. Journal of Medical Internet Research. [PDF]

Föll, S., Lison, A., Maritsch, M., Klingberg, K., Lehmann, V., Züger, T., Srivastava, D., Jegerlehner, S., Feuerriegel, S., Fleisch, E., Exadaktylos, A., Wortmann, F., A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development, JMIR Formative Research, 10.2196/35717. [PDF]

Lehmann, V., Züger, T., Maritsch, M., Notter, M., Schallmoser, S., Bérubé, C., Albrecht, C., Kraus, M., Feuerriegel, S., Fleisch, E., Kowatsch, T., Lagger, S., Laimer, M., Wortmann, F., Stettler, C., Noninvasive Hypoglycemia Detection during Real Car Driving Using In-Vehicle Data, 82nd Scientific Sessions of the American Diabetes Association, 10.2337/db22-234-OR.

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