Valta Maximilian

M. Sc. International Information Systems Management

Maximilian Valta is an external PhD candidate at the Chair of Information Systems and Services (ISDL).

He completed his bachelor‘s as well as master‘s degree in International Information Systems Management at the University of Bamberg. As part of his bachelor‘s degree, he spent one semester abroad at the University of Oslo with a focus on Digital Innovation and Transformation. During his master‘s degree, he completed an internship at Lufthansa Systems in New York with focus on process optimization and automation. Maximilian works as an IT consultant at MID GmbH in the areas of requirement engineering and process management.

Maximilian‘s research interests include the successful development, introduction and use of digital technologies in companies as well as overcoming the resulting challenges for companies and employees (e.g. technostress).

Selected Publications

Valta, M., Pflügner, K., and Maier, C. (2021)
Guiding Companies to Reduce Technostress: A Mixed-Methods Study Deriving Practice-Oriented Recommendations
Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS)

View Abstract
Technostress is a major challenge for employees using information technology. Technostress research has revealed the causes, i.e. techno-stressors, and resulting adverse consequences for employees and companies. However, there is a lack of practical insights guiding companies on how to reduce technostress. To offer such practical insights, we follow a mixed-methods approach. The qualitative study bases on eleven expert interviews and reveals seven measures that reduce technostress. We then elaborate on these interview results with a quantitative study of 110 employees. The quantitative results reveal the degree to which the seven measures are useful to reduce specific techno-stressors. Our results show that although there are measures used in practice, none reduces all different techno-stressors. We complement existent theoretical technostress research by offering practice-oriented recommendations on how to reduce technostress. Based on the illustration of which measures are useful for which techno-stressors, practitioners can choose the measures that best fits their needs.