Abstract
Progressively, information systems (IS) researchers draw on digital trace data to capture the emergent dynamics of today’s digitalized world. Digital trace data enable researchers to generate highly context-specific insightsinto the features and dynamics of socio-technical phenomena. We suggest how IS researchers can use digital trace data to develop situated explanations, that is, explanations that capture the idiosyncratic features of real-world problems in order to generate impactful solutions to these problems. We outline five key principles to build situated explanations based on digital trace data. We make several suggestions on how the information system field can adjust its research and publication practices to embrace the development and dissemination of situated explanations.
Dokumententyp: | Zeitschriftenartikel |
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Keywords: | Trends in information systems/IT; practical impact; digital trace data; information systems theory; big data; situated explanation |
Fakultät: | Betriebswirtschaft > Institut für Digitales Management und Neue Medien
Betriebswirtschaft > Institut für Digitales Management und Neue Medien > Process and Algorithmic Management |
Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
ISSN: | 0268-3962 |
Sprache: | Englisch |
Dokumenten ID: | 115609 |
Datum der Veröffentlichung auf Open Access LMU: | 04. Apr. 2024, 10:45 |
Letzte Änderungen: | 04. Apr. 2024, 10:45 |