Knowledge transfer and refinements to connection-based employee work experience measures

Abstract

Recent research provides a completely new method of tracking knowledge transfer and measuring employee experience using co-worker collaboration data. This process could use data collected through employee use of organizational social tools, from email to Twitter, but could also be fed data collected by accounting or other systems that track employee work on organizational projects. The process can also be extended to measure the diversity level of an employee or to tie employees' past workplace connections to their future performance. Measuring human experience in an organizational setting has, for the most part, been centered on time-based values such as “number of years worked.” However, the advent of social tools and advances in modern accounting systems and both of their abilities to collect incredibly refined data now allow organizations to move to a more highly sophisticated set of processes for tracking knowledge transfer and using it to calculate human work experience.