Theorising Time in a Digital Era: New Horizons for IS Research

Éditeurs invités

  • Kieran Conboy, University of Galway
  • Sirkka L. Jarvenpaa, The University of Texas at Austin
  • Brian T. Pentland, Michigan State University
  • Efpraxia D. Zamani, Durham University

Synthèse

Digital technologies have fundamentally transformed how we experience time and temporality, influencing work, life, and identity through accelerated communication and constant connectivity. While temporality—encompassing speed, duration, sequencing, rhythm, and timing—is central to how information systems are designed and studied, IS research has largely treated it simplistically, focusing narrowly on clock-time, speed, and duration rather than engaging with its complex, multifaceted nature.

The field lacks cumulative theoretical development on time despite growing recognition of its importance. IS researchers quickly highlight technology's impact on organisational speed but are slow to address temporal complexity comprehensively. Time remains theoretically elusive, often excluded or treated as a hidden dimension in contemporary IS studies. This special issue seeks to advance theoretical understanding of how temporal dynamics influence IS phenomena across multiple scales, from micro-temporal moment-to-moment interactions to macro-temporal institutional transformations.

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Thèmes proposés

  • How digital interfaces, notifications, and data streams reconfigure everyday temporal experience, including attention, interruption, multitasking, and asynchronous collaboration
  • How people make sense of their digital pasts through data archives or online traces, and how they anticipate algorithmic or digitally mediated futures
  • How workflow systems, dashboards, collaboration platforms, enterprise analytics, and predictive tools recalibrate shared temporal expectations and influence coordination
  • How temporal orientations embedded in tools or analytics shape decision processes, innovation, or strategic flexibility
  • Temporal properties of digital artefacts including update cycles, data retention logics, algorithmic refresh rates, and security time horizons
  • How data governance, privacy regimes, or AI systems handle conflicting temporal demands
  • Why certain digital transformations accelerate rapidly while others evolve slowly and unevenly
  • How digital standards, platforms, and protocols sediment, diffuse, or become institutionalised over time
  • How temporal imaginaries, time horizons, or long-term digital trajectories shape fields, industries, and societies
  • Theoretical and methodological discussions of time in IS research, including flows, sequences, rhythms, tempos, trajectories, paths, and path nets
  • How IS research can theorise and design for extended temporal horizons to address grand challenges like climate change, pandemics, inequality, and social movements
  • How temporal assumptions are embedded in IS through algorithmic schedules, design methods like agile and continuous development, and real-time vs. asynchronous communication
  • How such temporal assumptions align or collide with individual or cultural constructions of time
  • Methodological approaches for studying temporal complexity, including computational techniques and trace data analysis

Éditeurs associés

Jeremy Aroles, University of York
Reza M. Baygi, Vrije Universiteit Amsterdam
Catriona Burke, University of Limerick
Omar El Sawy, University of Southern California
Anne-Laure Fayard, NOVA School of Business and Economics
Thomas Grisold, Vienna University of Economics and Business
Amir Haj-Bolouri, University West
Susan Hilbolling, Aarhus University
Robin Holt, University of Bristol
Astri Moksnes Barbala, SINTEF
Rohit Nishant, Queen's University
Mahya Ostovar, University of Galway
Omid Omidvar, Warwick Business School
Henri Pirkkalainen, Tampere University
Frantz Rowe, University of Nantes
Markus Salo, University of Jyväskylä
Yingqin Zheng, University of Essex
Aljona Zorina, NEOMA