February 23, 2016
Belief in a corporate wellness narrative is more important than action 0
The complexities of wellness at work are laid bare in a new report from the US based pressure group Global Wellness Institute. The most eye-catching conclusion from The Future of Wellness at Work study is that it’s not actual wellness programmes that do most to boost worker health and productivity, but whether employees identify that company as ‘caring’. The report claims that ‘unwellness’ now costs the US around $2.2 trillion each year, equivalent to 12 percent of GDP. The report is published alongside a white paper which lays out the findings from a survey of American employees. Unlocking the Power of Company Caring gauges how employees feel about their work culture and wellness programmes. The main finding of the two reports is that to understand what has the most powerful impact on employee wellness ‘you must look well beyond the wellness programme’ itself. Instead, the pivotal factor is whether an employee identifies their company as caring about their health and wellness.
February 5, 2016
Embracing the inevitable rise of the robots in the workplace 0
by Gary Chandler • Comment, Flexible working, Technology, Workplace design
We often have reason these days to speculate on the truth of an idea known as Amara’s Law. First coined by the researcher Roy Amara it states that “we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run”. But defining what we mean by short and long term can be very difficult when technology is changing so quickly. Nothing better illustrates this than the issue of how automation will transform society and workplaces. For the past few years, the effects have mainly been the subject of academic and scientific research alongside some lurid headlines in the mainstream media. So, a fairly typical 2013 paper from researchers at Oxford University assessed the risk faced by over 700 professions and discovered that nearly half of all jobs in the US could be categorised as at high risk of automation. Less academic studies such as a report published last year by Deloitte draw similar conclusions.
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