Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2024
Von der genannten Lizenzangabe ausgenommen ist folgender Bestandteil dieser Dissertation:
Der Artikel "‘Entanglement’ – a new dynamic metric to measure team flow" (S. 246-277) steht unter der CC-Lizenz CC BY-NC-ND.
Lizenzvertrag: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 https://creativecommons.org/licenses/by-nc-nd/4.0/

The use of people analytics and social network analysis have grown in popularity in recent years as a way of gaining insights into organizational behavior. Social network analysis can be useful in people analytics the context because it can help identify key influencers and leaders within a group, as well as reveal patterns of communication and collaboration. Understanding these patterns, organizations can make informed decisions about how to structure and manage their teams and how best to support employee development. Social network analysis also helps people analytics to identify potential sources of conflict within an organization and bottlenecks in the flow of information, which
in turn can aid in improving communication and productivity.
There is, however, still much to learn about the potential of social network analysis in a people analytics context. This thesis aims to contribute to this knowledge by examining the potential of using people analytics in conjunction with social network analysis as a way to understand and analyze relational data better, particularly communication and interaction data. To guide this investigation, the thesis begins with a narrative review of the theories and concepts that form the foundations of social network analysis, organizational network analysis, and people analytics, the overarching topic of this dissertation. This review underlies the development of a taxonomy for categorizing social network analysis studies in work-related contexts. The research conducted as part of this thesis is structured around one main research question and four subordinate research questions, all of which focus the understanding and application of social network analysis in a people analytics context. The findings from this research are presented in the six papers, which together form the core of the dissertation.