Ideas for Leaders #323

How Virtual Ways of Working Impact on Team Productivity

This is one of our free-to-access content pieces. To gain access to all Ideas for Leaders content please Log In Here or if you are not already a Subscriber then Subscribe Here.

Key Concept

Digitally-mediated (or ‘virtual’) relationships and ways of working have been considered an essential part of the way teams will work in the future. But according to this Idea, virtuality can give rise to as many problems as solutions. Here, different types of virtual work are discussed, and based on the example of the U.S. automobile industry, some cautionary advice for organizations is offered.

Idea Summary

The ‘lure of the virtual’ has led many organizations to believe that one day not too far away, we will be able to accomplish with computers what has historically only been done physically. Already, the idea of working virtually has moved well away from the realm of science fiction to reality for many organizations around the world.

In an article published in IESE Insight, Paul Leonardi, Diane Bailey and Stephen Barley highlight three different types of virtual work arrangements that are most often used today, each of which has a different impact on the organization as a whole:

  • Virtual teams: also known as geographically distributed teams, are the most commonly discussed type of virtual work, where digital representations (e.g. web-conferencing tools, emails, instant messaging, etc.) support how we communicate with one another. The team roles and the essence of their work, however, do not change very much.
  • Remote control: this refers to operating through representations, such as the use of data collected from sensors in, for example, paper mills and oil refineries. These sensors issue commands from terminals that can change how machines work, all from a control room located away from the actual factory floor.
  • Simulations: in this type of work, simulation technologies are used, eliminating the need for human connection altogether. An example is doctors’ use of computer simulation of the body to teach, or simulations used by fire-fighters to study the movement of fire and smoke. In other words, instead of working with people or objects through representations, the work is done solely with the representations.

The increasing use of these types of transformational technologies in organizations is bringing about significant changes in the way we work. But there is a ‘Catch-22’ to virtual teamwork: if you turn to the virtual in the hope of reducing costs, you may discover production processes become less efficient as humans are replaced with representations. Organizations in this situation often begin investing more in learning activities, resulting in productivity taking a hit as attention is diverted from ‘doing’ to ‘teaching’. This Catch-22 is even more evident when it comes to offshoring—something experienced by a US-based automobile manufacturer (which the researchers refer to as IAC), whose case is detailed in Leonardi et al’s paper.

Business Application

In order to deal with the challenges of offshoring some of its engineering work, IAC developed a five-stage process which can also be applied to other organizations dealing with similar dynamics:

  1. Define work requirements;
  2. Monitor progress;
  3. Fix returns;
  4. Route tasks strategically; and
  5. Filter quality.

However, Leonardi, Bailey and Barley acknowledge that these measures may not necessarily solve all the organizational challenges related to virtual teams as there is also the unpredictable human dimension; managers should stay mindful of the fact that often people resist mediated exchanges, and not everyone reacts to new arrangements in the same way.

Finally, the crucial question organizations need to ask themselves before jumping into the digital world is: how should work be organized in order to strike a balance between learning versus short-term productivity? For the effectiveness of the overall system of virtual work, this is an essential consideration.

Contact Us

Authors

Institutions

Source

Idea conceived

  • September 2013

Idea posted

  • February 2014

DOI number

10.13007/323

Subject

Real Time Analytics