Explaining Change with Digital Trace Data: A Framework for Temporal Bracketing

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Hartl, S., Franzoi, S., Grisold, T., & vom Brocke, J. (2023). Explaining Change with Digital Trace Data: A Framework for Temporal Bracketing. Paper presented at the 56th Hawaii International Conference on System Sciences, Maui, Hawaii. (VHB_3: C)

Publication type

Paper in Conference Proceedings


Digital trace data, along with computational techniques to analyze them, provide novel means to study how organizational phenomena change over time. Yet, as digital traces typically lack context, it is challenging to explain why and how such changes take place. In this paper, we discuss temporal bracketing as an approach to integrate context into digital trace databased research. We conceptualize a framework to apply temporal bracketing in the analysis of digital trace data. We showcase our framework on the grounds of data from an onboarding process of a financial institution in Central Europe. We point to several implications for computationally intensive theory development around change with digital trace data.


Process Science: Conceptual foundation for the interdisciplinary study of continuous change
FFF-Förderprojekt, November 2021 until April 2023 (finished)

Processes are sequences of actions and events, which take effect over time and in context. They guide our every-day activities, and they dynamically change over time. Processes can make an impact on ... more ...


Organizational Units

  • Institute of Information Systems
  • Hilti Chair of Business Process Management

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