There are many factors that affect the profitability of a firm.  For managers and directors of firms, one of the most important factors is to increase profitability for their stakeholders.  The income a company earns over a fiscal year must exceed the expenses they incurred.  Profitability is then one of the many reasons management tries to increase the productivity of their workforce.  Productivity in the workplace is a major challenge for many companies, and research over the years have shown that happy employees are more productive than non happy or stressed employees. But how about working remotely? How is the productivity level compared to those working at the office?  For more about this, follow the links below.

Study: Whopping 93% Say They’re More Productive Working Remotely

Catherine Conlan’s spent her fair share of time in offices. These days, though, the rural Minnesota writer clocks in from home to a content marketing agency in Baton Rouge, La. Still, many of the work-life balance challenges are the same.

“There are days where I’m still rushing around to pick up the kids or the laundry just doesn’t get done, because I’ve put a priority on my work productivity,” Conlan says. “But working remotely, especially with an employer who embraces a project- or results-based approach to work and is dedicated to supporting employees’ lives away from work, can make finding a sense balance a lot easier.”

Boosting America’s Workplace Productivity

Here’s the plain truth: whether at home or at work, productivity tends to suffer under stress. And while stress triggers are highly personal, one thing many workers seem to have in common is uncertainty around how to handle personal finances. In fact, according to a recent study commissioned by MassMutualⁱ, while most Americans say they prioritize understanding the importance of their personal finances, many admit they actually know little or nothing about them, and half say they don’t know how much to spend on benefits. Worse, 37 percent of those surveyed find managing their personal finances “somewhat” or “very difficult” and 40 percent say personal financial problems are a distraction at workⁱⁱ.

It’s clear from the research that personal finances bedevil many Americans, especially when it comes to understanding and making the most of their employee benefits. And employee stress doesn’t just affect employees – the prevalence of distracted employees in the workplace poses a huge productivity issue for employers that, if left untreated, will likely become worse.

Productive mobility is poised to give business a virtual boost

Throughout history, new technologies have constantly changed the way we’ve worked. They’ve been responsible for full-scale revolutions. And continued investments have come as corporate demand for worker productivity drives tech spending.

We should expect augmented reality (AR) and virtual reality (VR) to eventually attract increased spending in the enterprise as they combine with new mobile network advancements to make an emerging trend called “productive mobility” a reality.

Productive mobility is about being as productive out of the office as inside, and as productive in a virtual instance as a physical one.

Consider Boeing’s use of augmented reality glasses to streamline plane assembly workflows, decreasing assembly time and reducing errors by 25 percent. This is amazing. It’s also just the beginning of this reality-transforming workplace future.

That’s where critical mobile network developments come in. Many of the most exciting AR applications require instant environmental interpretation, and rapid delivery of contextually relevant information and functionality. VR, in particular 360 stereoscopic video, greatly raises the payload overhead of rich media.

Fixed and mobile broadband network advancements like fiber and 5G, along with service provider-centric content delivery topologies, deliver higher throughput with lower latencies. New convolutional network designs find patterns among previously insurmountable massive data sets, enabling rapid, intelligent predictions about the network, the things connected to it and the users engaging with it.