Recent global events, notably the COVID-19 pandemic, have posed significant challenges to information systems (IS) companies, highlighting the critical importance of system resilience and its relationship with digital transformation (DT) during disruptive times. Despite this, there is a notable lack of literature examining the interactions between DT and resilience. To address this gap, this article presents a comprehensive review of the various types of interactions between these two concepts. Drawing on 73 articles published between 2010 and 2021 in leading IS research journals, our study identifies multiple dimensions of both DT and resilience. Mobilizing these dimensions, we explore their interactions to enhance our understanding of their causal dynamics. This review provides valuable insights for researchers and practitioners interested in the mutual interactions between DT and resilience, especially in the context of disruptive events.

This paper explores the significance of temporality in the study of global information systems (IS) Research. It critiques the static cross-sectional focus of traditional IS research, advocating for longitudinal studies that capture the evolving dynamics of organizational processes and technological change, in the context of globalized and complex IS. We conduct a meta-analysis of 327 longitudinal IS studies between 2004 and 2023, categorizing them by methodological approach (ethnographic, quantitative) and time perception (social “Kairos” vs. mechanical “Chronos”). We propose a conceptual framework highlighting the need for future IS research to integrate both social and mechanical conceptions of time. This framework aids in understanding technological adoption, user behavior, and organizational transformation in a global context. The paper underscores the importance of considering temporal factors in IS research, offering insights that benefit both academic researchers and practitioners in managing long-term IS implementations involving complex and multicultural teams.

Using a core idea of critical social theory, alienation, we interrogate the failure in the design and adoption of a Stop-COVID app in France. We analyse the political and scientific discourse, to develop an understanding of the conditions giving rise to this failure in this unprecedented moment. We argue that the digital-first solutionist approach taken by the government failed because, as in all Western countries, most stakeholders were alienated from the reality of the COVID-19 pandemic and lacked concrete knowledge of it. Furthermore, the French government and its COVID-19 council excluded relevant scientific experts in favour of quantitative modelling based on abstract partial knowledge. This along with coercion and lack of transparency about the app, reinforced alienation, undermined effectiveness in managing the crisis and resulted in the digital design failure. We suggest that such alienation will prevail in the COVID-19 era characterised by regimes of control, rampant abusive location tracking, and data collection, and where public officials are more concerned with managing effects than seeking causal explanations. The digital-first solutionist approach was adopted, not because digital solutions (to contact tracing) are superior to traditional ones, but by default due to alienation and lack of interdisciplinary cooperation.