When board members in big firms make critical decisions about their organisations, it is almost always behind closed doors. So exactly how and if senior leaders draw on big data factors in their decision-making is largely unexplained. Researchers from Brunel University studied top-level decisions by board managers at 19 organisations in manufacturing, finance, consultancy, IT and air travel. The study, published in the Journal of Business Research looked at how board managers think and act and the mental models and skills they use to weigh up big data. Directors, it suggests, recognise big data’s potential to improve their decision-making. But many admit feeling ill-equipped to do this, whether through their own technical skills or the new type of non-linear thinking needed. (more…)

The world is going through a workplace revolution that will bring a seismic shift in the way humans work alongside machines and algorithms, according to new research by the World Economic Forum. By 2025 more than half of all current workplace tasks will be performed by machines as opposed to 29 percent today. Such a transformation will have a profound effect on the global labour force, however in terms of overall numbers of new jobs the outlook is positive, with 133 million new jobs expected to be created by 2022 compared to 75 million that will be displaced. The research, published in The Future of Jobs 2018, is an attempt to understand the potential of new technologies to disrupt and create jobs. It is also seeks to provide guidance on how to improve the quality and productivity of the current work being done by humans and how to prepare people for emerging roles.

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Experts at Henley Business School have announced that the majority of the graduate workforce in the UK will be working with artificial intelligence on a daily basis by 2030, with technology such as ‘AI assistants’ expected to be commonplace in the next decade. New research released at the Henley annual World of Work 2030 conference, claims that a third (35 percent) of UK workers are excited about the prospect of their own personal AI assistant. With the average worker currently spending 3.5 hours a week on admin tasks, assistants’ could give workers back 12 working days a year (over two working weeks) by taking on these activities and freeing up time for more productive tasks.

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A new McKinsey study sets out to address the reasons why the United Kingdom experiences chronically low productivity and what can be done to use technology to improve its performance. In the report, Solving the UK’s productivity puzzle in the digital age, the authors argue that “Britain stands out as one of the worst productivity performers among its peers”. They argue that there are four distinct reasons for the weakness since the economic crisis: “boom and bust” in the financial sector, the strength of employment growth, weak investment and uneven “digitisation”.  It claims that the UK is operating at only 17 per cent of its digitisation potential, indicating how much scope for improvement there is.

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