A Sociotechnical Perspective on Digital Transformation of Work in Organizations, on Platforms, and in Academia

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.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Universität Passau

Year

2024

Author dc:creator

• Faltermaier, Stefan

Contributors dc:contributor

• Fiedler, Marina
• Gnewuch, Ulrich

• Digital Transformation of Work
• Hybrid Work
• Online Labor Platforms
• Artificial Intelligence
• Explainable Artificial Intelligence

Statement dc:rights

• Standardbedingung laut Einverständniserklärung

Repository record source_url

https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/1523

OAI identifier oai:identifier

oai:kobv.de-opus4-uni-passau:1523