We scour the web for interesting and actionable HR news and information, so you don’t have to. Here are eight curated stories perfect for snow day reading. (Or, if you are in a part of the country not currently in the midst of a polar vortex and under a blanket of snow, regular day reading.)
As the federal government shutdown drags on, the effects on employers are growing. E-Verify is still down and the EEOC is nearly completely unstaffed. Employers waiting for guidance from federal agencies on H-1B visas, the new overtime rule, the new joint-employer standard, and other decisions will need to wait even longer. Find out what you need to know.
Don’t risk being non-compliant – make sure you understand what the FMLA, FLSA, FCRA, FUTA, and 21 other acronyms mean and what these federal regulations require from you.
2019 will likely look a lot like 2018 on the compliance front: More #MeToo, more state and local legislation (particularly regarding wage and hour issues and marijuana), and less out of Washington. See what’s on the horizon.
A study analyzing over 46,000 sexual harassment claims found that the fear of retaliation that prevents many victims from reporting harassment is well-founded. More than two-thirds of accusers lost their jobs or faced other forms of retaliation, and in cases that found for the plaintiffs, redress was minimal.
Despite protections granted by the Affordable Care Act along with 21 states and the District of Columbia, there are still an estimated 5 million women of childbearing age who lack the right to pump breastmilk at work. Is discrimination against nursing mothers the next frontier in pregnancy discrimination?
OSHA recently released a new guidance document outlining protections for temporary workers that both staffing companies and host employers need to be aware of. While not much has changed since the agency’s heightened focus on temporary workers began, it’s important to keep up with your due diligence.
Artificial intelligence (AI) is making inroads into many areas of business, including recruiting. However, since these machines learn from humans, they have the potential to mirror human biases, such as race and gender biases. How can recruiters who use AI avoid this potential pitfall?
A recent survey found that 93 percent of employers agree that a good onboarding experience influences a new hire’s decision to stay. But nearly one third of employees say their employer didn’t do a good job of onboarding them. What do you need to do to deliver effective onboarding?
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