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

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Referenz

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)

Publikationsart

Beitrag in Konferenztagungsband

Abstract

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.

Forschung

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

Prozesse sind Abfolgen von Aktionen und Ereignissen, die sich über die Zeit und im Kontext aus-wirken. Sie leiten unser tägliches Handeln und verändern sich im Laufe der Zeit dynamisch. Pro-zesse ... mehr

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Einrichtungen

  • Institut für Wirtschaftsinformatik
  • Hilti Lehrstuhl für Business Process Management

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