April 18, 2018
Employee productivity is being hindered by information overload
More than a third of employees’ waste significant chunks the working day because of difficulties retrieving valuable information, with two-fifths of businesses admitting to having no processes in place to capture, record and retrieve business communications. The research conducted by 3Gem on behalf of TeleWare, claims that 36 percent of employees have wasted a lot of the working day attempting to resolve an issue when they have forgotten valuable information. A similar number (34 percent) explained that forgetting information has led them to deal ineffectively with customers, suppliers or clients. While around a quarter have missed important deadlines (26 percent) or let their colleagues down (25 percent) due to not having the necessary information front of mind. Britain is not doing very well when it comes to workplace productivity. According to the latest G7 productivity analysis from ONS, in terms of output per hour worked, the UK scored 15.1 percent below the average for the rest of the G7 advanced economies.
It should come as little surprise that graduates who have undertaken an internship are more likely to have honed the skills businesses needs, one of the main findings of the Institute of Student Employers (ISE) annual Development Survey, which launches today (28 March 2018) at the ISE Student Development Conference. The report found that 63 percent of employers believed graduates who had undertaken work experience had the required soft skills, yet less than half (48 percent) thought this of graduates in general. According to the report the five most common graduate skills gaps are; managing up (5 percent of employers believed graduates had this skill); dealing with conflict (12 percent); negotiating/influencing (17 percent); commercial awareness (23 percent and resilience (31 percent). This is why closing skills gaps is a priority for businesses with 74 percent of employers taking specific actions to tackle the issue in 2017. Changes to recruitment and on-the-job training were the most common actions and 16 percent of organisations improved their internship development programmes specifically to close skills gaps.
There is a disparity between the causes of communications anxiety between men and women, claims new research conducted by RADA in business. Male employees are 45 percent more likely than women to feel anxious when socialising with their work colleagues, while women are most scared of giving a presentation. Team building events were also found to be more challenging for men, with almost a fifth (19 percent) reporting feelings of communications anxiety. Work social events followed, with 17 percent reporting the same feelings. In contrast, the report found that female employees experience greater levels of anxiety when giving presentations in front of a group, to colleagues, or to management. The evidence suggests that while men require more help with skills around spontaneous communication, for women it is about standing their ground and getting their voice heard when stepping into the spotlight – often in situations that may have a significant impact on their career path. Notably, the research shows that women are also 39 percent more likely to experience workplace anxiety than men when in a job interview, and 37 percent more likely when negotiating a pay rise.
Artificial intelligence systems need to be accountable for human bias at AI becomes more prevalent in recruitment and selection, attendees at the Employers Network for Equality & Inclusion’s annual conference have been warned. Hosted by NatWest, the conference, Diversity & Inclusion: The Changing Landscape heard from experts in ethics, psychology and computing. They explained that AIs learnt from existing data, and highlighted how information such as performance review scores and employee grading was being fed in to machines after being subjected to human unconscious bias. Dr David Snelling, the programme director for artificial intelligence at technology giant Fujitsu, illustrated how artificial intelligence is taught through human feedback. Describing how huge data sets were fed into the program, David explained that humans corrected the AI when it used that data to come to an incorrect conclusion, using this feedback to teach the AI to work correctly. However, as this feedback is subject to human error and bias, this can become embedded in the machine.
April 9, 2018
How the UK car industry is driving the future of workplace design
by Paul Dunn • Comment, Workplace design
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