November 7, 2017
New research identifies nine distinct segments of the self employed workforce
Far from being a homogeneous group, nine distinct segments of the solo self-employed workforce have been identified in new research published by the Centre for Research on Self-Employment, in partnership with IES. This segmentation furthers understanding of the solo self-employed population, including the levels of independence and security, and variation in earnings across this broad section of the UK workforce. The solo self-employed are those who do not employ other people and therefore work on their own account, and makes up 84 per cent of the self-employed workforce.














Those working within the built environment are already in the change business, was the view of Neil Usher of 







The number of large scale Internet of Things (IoT) projects have doubled in the last year, as projects move from small pilots to global rollouts, according to Vodafone’s fifth annual IoT Barometer Report. The range of benefits that users are getting from IoT is also widening as adoption increases – greater business insights, reduced costs and improved employee productivity top the list globally. Large scale users report some of the biggest business gains with 67 percent of them highlighting significant returns from the use of IoT. Energy and utility companies are at the forefront of the largest IoT projects worldwide, with applications such as smart meters and pipeline monitoring. Security in IoT is still the biggest barrier for organisations regarding deployment. However, in companies with 10,000 or more connected devices in operation only 7 percent say security is their top worry. Organisations are taking more steps to tackle security concerns including an increase in security training for existing staff, working with specialist security providers and recruiting more IT security specialists.


October 20, 2017
Seven workplace stories we think you should read this week (apart from ours)
by Mark Eltringham • Comment, Facilities management, Technology, Workplace design
Automation and Artificial Intelligence bullshit
Science in the gig economy
The seven deadly sins of AI predictions
The flight of people back to the suburbs
The changing psychology of the workplace
The rock and roll workplace