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The California Supreme Court recently decided in Frlekin v. Apple, Inc. that time spent by employees waiting for, and undergoing, required exit searches is compensable and should be considered “hours” worked under California wage orders. This includes searches of employees’ belongings that have been voluntarily brought to work purely for the employees’ personal convenience.
The “future of work” can often feel like an ambiguous concept. Technologies like artificial intelligence, 5G, augmented reality/virtual reality, and machine learning are nebulous concepts that can still seem years away from actually impacting certain lines of business.
As an HR professional or recruiter, you’re vetting entry-level applicants based on the caliber of their résumé, burgeoning interview skills, nascent networks, and limited professional references. It’s a process that is often more art than science when an applicant’s work history is limited in scope.
Technology is often at the cutting edge of training and development efforts, from two perspectives. First, training is key to help employees learn how to best understand and leverage new technologies in their industries. Second, new technologies can provide improvements in the efficiency and quality of training efforts.
Artificial intelligence (AI) is being used to find candidates on the Internet, to conduct screenings and assessments, to engage with them via social media and e-mail, to provide scheduling for interviews, to conduct background screening, to help generate offers, and much more.
Work/life balance is a commonly discussed concept among employees, employers, and labor market observers alike. A good balance between work and nonwork activities (i.e., family, hobbies, travel, personal health, etc.) is understandably desired by employees.
One of the most fundamental conflicts in the world of employee training is the balance between cost and effectiveness. While companies certainly want to implement successful training programs that will reliably and effectively impart essential knowledge and skills to employees, they also obviously want to avoid breaking the bank on training.
Automation is a great way for talent acquisition (TA) professionals to reduce their time to fill by automating mundane tasks, but new technologies are now allowing recruiters to automate even more aspects of their jobs.
Many organizations like Boeing and Apple already rely on challenge-based learning to train and develop their workforces. And with the steady pace of advanced technological innovation and automation in the workplace, other organizations are also beginning to implement this type of learning for their employees.
The way we work has drastically changed with the advent of technology, and because of this, employers must change with the times in order to succeed.