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All throughout 2018, we reported on the record low unemployment rates, which resulted in massive hiring challenges for employers across the nation. While artificial intelligence (AI) and automation have made recruiters lives easier, it still doesn’t make up for the fact that getting a job these days is still tough for many jobseekers.
Most of us spend 40 or more hours each week at work. In the Knowledge Economy, with its digital nature, our work and daily lives tend to converge. It’s a yin and yang scenario, one most employees appreciate in order to make work/life balance manifest.
Intuition—a mental “shortcut”—is the result of two hardwired processes (pattern recognition and emotional tagging), which frequently lead to cognitive errors. As a result of “going with your gut,” even the best, most experienced business leaders can make poor judgment calls about individuals.
Over the last few posts, we’ve chatted with Emily He, Senior Vice President of Oracle’s Human Capital Management Cloud Business Group.
In part one, we introduced the idea of using predictive analytics in recruiting. Let’s take a look at some of the ways to do exactly that.
Wouldn’t it be nice to have some way to assess the likelihood that a given candidate will stay with the organization long term—or to have at least a way to predict which candidate is more likely to succeed in your organization if more than one seems qualified for a given role?
A new report highlights critical factors affecting the future of work, while demonstrating how an improved workplace experience leads to better employee engagement and company performance.
A recent survey finds that although employers believe there should be pay equality in the United States, women often remain skeptical about their own careers.
New research finds employees and hiring managers have different views when it comes job hopping.
Data shows employees’ confidence in business conditions reached a seven-year high in 4Q 2017, as well as an increase in the percentage of employees looking for positions outside their organization.