DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
  1. DZone
  2. Data Engineering
  3. IoT
  4. Can Social Networks Predict Whether an Employee Will Quit?

Can Social Networks Predict Whether an Employee Will Quit?

A recent study seems to think so.

Adi Gaskell user avatar by
Adi Gaskell
·
Apr. 29, 19 · News
Like (2)
Save
Tweet
Share
2.79K Views

Join the DZone community and get the full member experience.

Join For Free

Social networks have proven the ability to provide a wide range of fascinating insights into our behaviors and moods. Might they also provide insight into whether we're likely to quit our job? That was the question posed by a recent study from the University of Exeter, which aimed to build upon previous work that shows how people with large social networks at work are less likely to resign than colleagues with smaller networks. Do the changes in how we engage with our network provide similar insights?

Image title

It finds that the size of our network may, in fact, be a false friend and that there is a clear trend in the type of networks — and the type of behavior within them — among people planning to jump ship.

The analysis revealed that the networks of people thinking of quitting generally didn't change in terms of size, but very much did in terms of behavior within the network. For instance, if people were happy and content, they would typically seek out help and advice from colleagues, with the same people turned to repeatedly.

This differs markedly among those who are thinking of leaving the job. For them, there was a clear change in the people they turned to for advice, with old sages dropped in favor of new mentors. The authors suggest that the advice process is a form of tit-for-tat that requires give and take from both parties. So if people are sticking around, they tend to limit the circle so as to perform that effectively. When people are leaving, however, it can be a more take than give relationship.

Network Churn

While this level of network churn was evident in advice networks, the opposite occurred in friendship networks. In these, perhaps unsurprisingly, it emerged that those looking at pastures new were reluctant to change their friendship networks much, either in terms of adding new people to it or dropping ties with existing friends.

It's well known that humans are social creatures and have an inherent need to belong. The social bonds we form with colleagues form a big part of that, so leaving an organization can prove to be a wrench. It's logical, therefore, that if people are looking to move on, they seek to firm up the relationships they have before doing so.

Now, it perhaps goes without saying that it's not always easy for managers to observe the social networks of employees, much less monitor any changes in them, although this might potentially begin to change if wearable devices become more widespread in the workplace. Nonetheless, it does provide some signs to look out for that may indicate an employee looking to leave the business.

Network

Published at DZone with permission of Adi Gaskell, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • How to Secure Your CI/CD Pipeline
  • Real-Time Stream Processing With Hazelcast and StreamNative
  • An Introduction to Data Mesh
  • Bye-Bye, Regular Dev [Comic]

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: