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Paper Type
Complete
Description
Complexity has always been a topic for IS scholars. While research has addressed this problem in the past, the exponential rise of complexity due to the pervasive use of IS in our society has made complexity an even bigger justification of concern for both scholars and organizations. One of the outcomes of this risen complexity is the number and impact of IS incidents that occur due to organizations failing to prepare for a plethora of possible scenarios that can have negative consequences. We expand on Mehrizi and colleagues’ (2022) theoretical framework for learning from IS incidents. Our research presents a Chaos Engineering (CE) Framework that helps organizations in generating knowledge through experimentation, in a capacity to tame complexity. CE is the discipline of experimenting on a system to build confidence and resilience, by simulating different complex behaviors. This allows organizations to learn more effectively without the real-life costs of other learning processes.
Paper Number
1590
Recommended Citation
Silva Cogo, Gabriel; Batista, Rafael de Queiroz Batista; Francisco, Eduardo de Rezende; Becker, João Luiz; and Scornavacca, Eusebio, "Embracing the Chaos: A Framework for Chaos Engineering" (2023). AMCIS 2023 Proceedings. 6.
https://aisel.aisnet.org/amcis2023/sig_scuidt/sig_scuidt/6
Embracing the Chaos: A Framework for Chaos Engineering
Complexity has always been a topic for IS scholars. While research has addressed this problem in the past, the exponential rise of complexity due to the pervasive use of IS in our society has made complexity an even bigger justification of concern for both scholars and organizations. One of the outcomes of this risen complexity is the number and impact of IS incidents that occur due to organizations failing to prepare for a plethora of possible scenarios that can have negative consequences. We expand on Mehrizi and colleagues’ (2022) theoretical framework for learning from IS incidents. Our research presents a Chaos Engineering (CE) Framework that helps organizations in generating knowledge through experimentation, in a capacity to tame complexity. CE is the discipline of experimenting on a system to build confidence and resilience, by simulating different complex behaviors. This allows organizations to learn more effectively without the real-life costs of other learning processes.
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