2026-09-23T21:58:22Z https://opus4.kobv.de/opus4-uni-passau/oai

oai:kobv.de-opus4-uni-passau:1523 2025-08-13 bibliography:false doc-type:PhDThesis open_access ddc ddc:330

A Sociotechnical Perspective on Digital Transformation of Work in Organizations, on Platforms, and in Academia 0000-0001-5773-4978 Stefan Faltermaier 330 Digital Transformation of Work Hybrid Work Online Labor Platforms Artificial Intelligence Explainable Artificial Intelligence The findings of this dissertation reveal that digital transformation in the workplace accelerates ongoing changes in work practices, leading to transformations in organizations on both social and technological levels (study one). A key challenge identified in our case from study one is that highly virtual and digital work environments can undermine the integration of new employees and weaken organizational cohesion, resulting in more isolated work that tends to occur either individually or in small groups. In completely detached work settings (study two), our findings emphasize the prevalence of negative work experiences - frustration in our case – and the central role of both social and technical antecedents. Work settings devoid of any organizational framework, such as microtask crowd work, show an even greater detachment from shared values and structures compared to study one, posing significant challenges for the workers involved. These challenging conditions for individuals and organizations highlight the necessity for further research and the development of innovative theories to better comprehend these dynamics, and to devise strategies to manage these challenges effectively. Studies three and four build on this premise. In these studies, within the context of the digital transformation of academic work, we demonstrated how ML combined with XAI applications can be employed in theory development. Universität Passau Passau Innstrasse 29, 94032 Passau Marina Fiedler Ulrich Gnewuch 2024-12-04 2024-12-17 PhDThesis Text urn:nbn:de:bvb:739-opus4-15233 application/pdf eng Standardbedingung laut Einverständniserklärung thesis.doctoral Universität Passau Passau Wirtschaftswissenschaftliche Fakultät 1 https://opus4.kobv.de/opus4-uni-passau/oai/container/index/docId/1523 https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/1523