Understanding and Explaining Organizational Dynamics Using Digital Trace Data

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Type and Duration

PhD-Thesis, since December 2023


Hilti Chair of Business Process Management

Main Research

Business Process Management


The pervasive use of digital trace data in information systems research presents significant opportunities for exploring processes, changes, and temporal dynamics. Past research has leveraged the vast amount of available data to investigate process-related phenomena such as organizational change and broader organizational dynamics; however, a comprehensive understanding of how organizational dynamics intersect with and rely on digital trace data remains elusive. This dissertation project addresses this gap by employing digital trace data and computational techniques to analyze them, such as process mining, to elucidate how organizational change influences both process dynamics and the organization itself. To complement the quantitative data, qualitative data is incorporated, acknowledging the often limited nature of digital trace data which typically lacks context.

In summary, this research project seeks to make a contribution to process research by generating practical implications that will aid in the digital trace data analysis application for achieving process improvements.