Forecasting unknown-unknowns by boosting the risk radar within the risk intelligent organisation

作者: Alasdair Marshall , Udechukwu Ojiako , Victoria Wang , Fenfang Lin , Maxwell Chipulu

DOI: 10.1016/J.IJFORECAST.2018.07.015

关键词:

摘要: Abstract This theoretical perspective paper interprets (un)known-(un)known risk quadrants as being formed from both abstract and concrete knowledge. It shows that these are useful for categorising forecasting challenges against the levels of knowledge typically available, well measuring perceived available in psychometric research. Drawing on cybersecurity examples, a case is made refocusing management efforts towards changing unknown-unknowns into known-knowns. We propose this be achieved by developing ‘boosted radar’ organisational practice, where suitably ‘risk intelligent’ managers gather intelligence information’, such intelligent organisation’ can purposefully co-develop also illustrate what entail simple practical terms within organisations.

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