News in Detail
Presentation of current research results at GfA 2023 in Hannover
Current research results will be presented at the GfA Spring Congress 2023 in Hanover
The research team around Prof. Dr. Joerg von Garrel of the Darmstadt University of Applied Sciences (h_da) will be represented with various contributions at the 69th Spring Congress of the Gesellschaft für Arbeitswissenschaften (GfA). The congress will take place from 01.03.2023 - 03.03.2023 and will focus on the topic of "Sustainable working & learning - analysis and design of learning-friendly and sustainable work systems and work and learning processes".
Jung & von Garrel (2021) have already shown the relevance and associated relevant factors and phases of an employee-friendly implementation of AI systems with regard to acceptance and trust. In order to generate a generally applicable acceptance and trust model with regard to different AI systems and further insights regarding a decisive acceptance and trust building in AI-based work systems, one contribution focuses on presenting central results of a Germany-wide study of employees (n=1302).
In addition, the establishment of AI-based business models is highly relevant with regard to the future competitiveness of companies. Another contribution therefore aims to present the status quo for the design and implementation of AI-based (service) business models. For this purpose, the results of a survey of C-level decision-makers (n=201) on the use and potential of AI-based systems are discussed.
Socio-technical system design represents a conceptual and empirical link between people, technology and organisation. Another contribution aims to consider such a socio-technical perspective in the design of AI. To this end, taking into account the complexity of AI-based work systems, its impact on a human-friendly AI introduction is analysed. In this context, the article presents the results of qualitative and quantitative studies on the structural (organisational perspective) and action level (employee perspective). Specifically, findings on the concepts of work ability (e.g. digital competences, technostress) and acceptance are presented.