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Empirical studies show that workers in these systems adapt not just their individual behaviours, but also their collective structures to deal with complex work environments. The concept of self-organisation can explain how such adaptations can be achieved spontaneously, continuously, and relatively seamlessly, and why this phenomenon is important for dealing with instability, uncertainty, and unpredictability in the task demands. However, existing design approaches such as resilience engineering and cognitive work analysis are limited in their capacity to design for self-organisation. This paper demonstrates that the diagram of work organisation possibilities, a recent addition to cognitive work analysis, provides a sound theoretical basis for designing for self-organisation. That is, it shows how essential components of the diagram are aligned with the concept of self-organisation and are well-grounded in empirical observations of adaptation in a variety of sociotechnical systems, specifically emergency management, military, and healthcare systems. Consequently, designs based on this diagram should have the potential to facilitate the emergence of new spatial, temporal, and functional organisational structures from the flexible actions of individual, interacting actors, thereby enhancing a system\u2019s capacity for dealing with a dynamic, ambiguous work environment. Future research should focus on validating these ideas and demonstrating their value in industrial settings.<\/jats:p>","DOI":"10.1007\/s10111-019-00595-y","type":"journal-article","created":{"date-parts":[[2019,9,20]],"date-time":"2019-09-20T10:11:51Z","timestamp":1568974311000},"page":"23-37","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Designing for self-organisation in sociotechnical systems: resilience engineering, cognitive work analysis, and the diagram of work organisation possibilities"],"prefix":"10.1007","volume":"23","author":[{"given":"Neelam","family":"Naikar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ben","family":"Elix","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,9,20]]},"reference":[{"issue":"8","key":"595_CR1","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1080\/00140139.2015.1009951","volume":"58","author":"S Barth","year":"2015","unstructured":"Barth S, Schraagen JM, Schmettow M (2015) Network measures for characterising team adaptation processes. 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