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

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dc.contributor.authorHartl, Sophie
dc.contributor.authorFranzoi, Sandro
dc.contributor.authorGrisold, Thomas
dc.contributor.authorVom Brocke, Jan
dc.date.accessioned2022-12-27T19:19:04Z
dc.date.available2022-12-27T19:19:04Z
dc.date.issued2023-01-03
dc.description.abstractDigital 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.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.689
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.other31154a22-668b-4b75-a18b-95283d560e1b
dc.identifier.urihttps://hdl.handle.net/10125/103323
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Innovation, Transformation, and Entrepreneurship
dc.subjectchange
dc.subjectcontext
dc.subjectdigital trace data
dc.subjectprocess mining
dc.subjecttemporal bracketing
dc.titleExplaining Change with Digital Trace Data: A Framework for Temporal Bracketing
dc.type.dcmitext
prism.startingpage5663

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