June 1, 2021

What Could Legitimately Explain Pay Differences? 1. Time in Job

This blog is the first in a series that will explore different variables that should be part of any pay equity analysis. The technique for pay equity analysis is regression (see this blog for more details about the methods). The way that regression works is you put in variables that you believe/want to explain the outcome variable. For pay equity analyses, the outcome variable is pay. The variable you do not want to explain pay differences is gender; because if gender explains pay differences, then you have discriminatory pay practices.
Every variable you put into the regression analysis should be something you believe can explain pay differences. And it is good to express that belief as a hypothesis.
I hypothesize that if you compare the pay of two employees – one who has been in their current job for years and one who has just started in that job – that the employee that has been in their current job longer will have higher pay. This is an example of a variable that could explain why two employees with the same role have pay differences.
There are other variables that can explain pay differences. Stay tuned for the next variable in a future blog.

BrandPost: What Is SASE and Why Do You Need It?

Leaning into change empowers technology leaders to create a more competitive, innovative, and agile organization that builds on today’s solutions for tomorrow’s successes.Already, enterprises are harnessing change based on the digital groundwork IT teams are preparing.For example, more and more organizations have implemented the cloud, which is foundational for digital transformation. Because of their cloud adoption, Fortune 500 companies alone could reap more than $1 trillion in additional earnings by 2030 due to benefits such as new lines of business and markets, plus speedier innovation and delivery.To read this article in full, please click here

BrandPost: When It Comes to Track and Trace, Manufacturers Should Think Big and Start Small

Byline: Tom Leeson, Bob SlevinEvery manufacturer knows it’s important to have an up-to-date, accurate picture of its assets, from the smallest nuts and bolts to the largest storage tanks. But how a company tracks its assets is important, too.With the right digital technologies, manufacturers can gain invaluable intelligence about every asset they own or manage via the Internet of Things (IoT). And by being able to intelligently track and trace those assets, they gain a wealth of benefits: reduced waste, lower costs, easier budgeting, fewer thefts and losses, and less downtime.The current realityTo read this article in full, please click here

CIO Portal