Paper Number
ICIS2025-1708
Paper Type
Short
Abstract
This research-in-progress introduces the concept of data rhythm to explore how digital data both shapes and is shaped by organizational rhythms. Drawing on Deleuze and Guattari’s theory of assemblage, the study responds to the need for more nuanced temporal concepts in Information Systems (IS) research. This paper argues that rhythm, as understood within process philosophy, can offer a fruitful lens for understanding the temporal dynamics of data use. Based on fieldwork in a European law enforcement agency, the study proposes four preliminary propositions for conceptualizing data rhythm, illustrating, for instance, how conflicting rhythms between operational, investigative, and IT units affect data-driven efforts. The police context highlights how data is embedded in sociotechnical rhythms that are both emergent and uneven. The study contributes a theoretical and methodological starting point for examining rhythm as a temporal phenomenon in data-intensive organizations and outlines a research agenda for future empirical and conceptual development.
Recommended Citation
Barbala, Astri Moksnes and Conboy, Kieran, "Towards a Conceptualization of Data Rhythm: An Assemblage-Based Approach" (2025). ICIS 2025 Proceedings. 9.
https://aisel.aisnet.org/icis2025/is_researchmethods/is_researchmethods/9
Towards a Conceptualization of Data Rhythm: An Assemblage-Based Approach
This research-in-progress introduces the concept of data rhythm to explore how digital data both shapes and is shaped by organizational rhythms. Drawing on Deleuze and Guattari’s theory of assemblage, the study responds to the need for more nuanced temporal concepts in Information Systems (IS) research. This paper argues that rhythm, as understood within process philosophy, can offer a fruitful lens for understanding the temporal dynamics of data use. Based on fieldwork in a European law enforcement agency, the study proposes four preliminary propositions for conceptualizing data rhythm, illustrating, for instance, how conflicting rhythms between operational, investigative, and IT units affect data-driven efforts. The police context highlights how data is embedded in sociotechnical rhythms that are both emergent and uneven. The study contributes a theoretical and methodological starting point for examining rhythm as a temporal phenomenon in data-intensive organizations and outlines a research agenda for future empirical and conceptual development.
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25-Research