OODA loop

The OODA loop is the cycle observe–orient–decide–act, developed by military strategist and United States Air Force Colonel John Boyd. Boyd applied the concept to the combat operations process, often at the operational level during military campaigns. It is now also often applied to understand commercial operations and learning processes. The approach explains how agility can overcome raw power in dealing with human opponents. It is especially applicable to cyber security and cyberwarfare.[1]

Diagram of the OODA loop

The OODA loop has become an important concept in litigation,[2] business,[3] law enforcement,[4] management education,[5] and military strategy. According to Boyd, decision-making occurs in a recurring cycle of observe–orient–decide–act. An entity (whether an individual or an organization) that can process this cycle quickly, observing and reacting to unfolding events more rapidly than an opponent, can thereby "get inside" the opponent's decision cycle and gain the advantage.

The Chief Advisor to the UK Prime Minister Dominic Cummings credits the success of the Vote Leave campaign in the 2016 United Kingdom European Union membership referendum to its faster processing of OODA loops, along with the focus of Vote Leave on disrupting the OODA loops of the opposing Britain Stronger in Europe campaign team.[6]

See also

Notes

  1. Clarke, Richard (2019). The Fifth Domain:Defending Our Country, Our Companies, and Ourselves in the Age of Cyber Threats. Penguin Press. p. 81. ISBN 9780525561965.
  2. See, e.g. Dreier pp. 20–85.
  3. See, e.g. Richards pp. 162–171.
  4. Papenfuhs, Steve (Pappy). "The OODA loop, reaction time, and decision making". PoliceOne.com. Retrieved 3 November 2016.
  5. Ryder, Mike; Downs, Carolyn (November 2022). "Rethinking reflective practice: John Boyd's OODA loop as an alternative to Kolb". The International Journal of Management Education. 20 (3): 100703. doi:10.1016/j.ijme.2022.100703.
  6. "On the referendum #27: Banks, Russia, conspiracies and Vote Leave". 11 June 2018.

References

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