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the focus here was on the use of the risk assessment tool in the companies and the design of the learning and experiment rooms. In addition, the transfer process was presented in the form of relevant p
Section: FB7
(e.g. weather data, major events, traffic situations), an analysis of workload based on machine learning is developed. This application allows the prognosis of the individually health and work related
Martin G. Möhrle, Nils Denter and Eliza Stenzhorn. By conducting unsupervised and supervised machine learning in form of topic modeling and deep neural networks, the authors are able to distinguish standar
on topics and approaches relevant to business psychology. Focal areas include general psychology (learning and motivation), personality psychology and social psychology. The course is offered regularly in
individuals are not sensitive to whether the data are processed by a human-supervised or a self-learning smart assistant. The necessity to mobilize individual user data has recently become omnipresent
working group: Jessica Birkholz presented on "Do not judge a business idea by its cover: a machine learning approach to retrieve the impact of innovative and non-innovative business idea content on their
work packages or a maximum of three interrelated services (e.g. lesson preparations, presentations, learning diaries, short presentations or homework). In both forms, the partial performances are assessed
single event at a certain point in time or “manna from heaven.” In this sense, innovation includes a learning process that involves the supply side and the market or demand side alike. The innovation system