Click here for the Friday Reading Search, a searchable archive of reading and knowledge resources

Since March 2020, Airmic has been issuing Friday Reading, a curated series of readings and knowledge resources sent by email to Airmic members. The objective of Airmic Friday Reading was initially to keep members informed during the Covid-19 pandemic. Today, Airmic Friday Reading has evolved in scope to include content on a wide range of subjects with each email edition following a theme. This page is a searchable archive of all the readings and knowledge resources that have been shared.

To select multiple categories and/or keywords, use Ctrl+Click (or +Click on a Mac).
CBI, 16th June 2021
In this session, recorded 16 June, the CBI reviewed the latest announcements from government on the covid roadmap and looked in-depth at international business travel.
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Control Risks, 14th June 2021
The digital technologies and systems created today are introducing both far-reaching opportunities and challenges alike for security professionals and business leaders. This makes it more and more crucial to adopt a holistic view of how the intertwined global digital ecosystem of tomorrow may impact your organisation and its security. Fine tuning risk management strategies to navigate these shifting tides in the global digital threat landscape is essential.
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KPMG, 1st June 2021
As restrictions are lifted and consumers flock back, we are expecting a robust recovery ahead. Some sectors, such as manufacturing and construction, have already recovered most of the ground lost last year, while for sectors such as hospitality and personal services, the big times are now.
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AXA XL, 20th April 2021
As travel opens up, how are businesses protecting employees, and how are individual travellers staying safe?
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Project Management Institute, 23rd October 2012
Many people have been trying to understand the nature of hard-to-detect risks or uncertainties. After Donald Rumsfeld inadvertently coined “unknown unknowns”, people started using quadrants of knowledge (i.e., known known, known unknown, unknown known, and unknown unknown) to understand and explain the nature of risk. But this study reveals that many of them were not truly unidentifiable. This study develops and suggests a model to characterise risks, especially unidentified ones.
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