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

Hartl, Sophie; Franzoi, Sandro; Grisold, Thomas; vom Brocke, Jan

Research article in edited proceedings (conference) | Peer reviewed

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 data-based 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.

Details about the publication

PublisherBui, Tung X.
Book titleProceedings of the 56th Hawaii International Conference on System Sciences
Page range5663-5672
Publishing companyHawaii International Conference on System Sciences
Place of publicationMaui, Hawaii
StatusPublished
Release year2023
ConferenceHawaii International Conference on System Sciences (HICSS) , Maui, Hawaii, United States
Link to the full texthttps://hdl.handle.net/10125/103323
KeywordsDigital Innovation, Transformation, and Entrepreneurship, change, context, digital trace data, process mining, temporal bracketing

Authors from the University of Münster

Franzoi, Sandro
Chair of Information Systems and Business Process Management (Prof. vom Brocke) (BPM)
vom Brocke, Jan
Chair of Information Systems and Business Process Management (Prof. vom Brocke) (BPM)