Park, J., Kim, J. and Lee, B., 2016. "Which Tasks Will Technology Take? A New Systematic Methodology to Measure Task Automation", International Conference on Information Systems (ICIS), Dublin, Ireland

1. Which Tasks Will Technology Take?
A New Systematic Methodology to Measure Task Automation
Jiyong Park, Jongho Kim, Byungtae Lee (KAIST)
Track 2: Sustainability and Societal Impacts of IS
Contact Author: Jiyong Park (jiyong.park@kaist.ac.kr)
ICIS-0864-2016
Motivation
• Abundance of evidence on the relationship between rapid
advance of ICT and task automation
• “You can’t manage what you can’t measure” – Peter Drucker
• However, there is no systematic methodology to quantitatively
measure the degree of task automation.
• Objectives of this study
1) To identify comprehensive task types based on data-driven
approach
2) To quantitatively measure the degree of automation for each
task type
Results
• Using O*NET database on 182 skill requirements for 651 jobs,
we identify 13 task types which are more comprehensive than
prior literature.
• We quantitatively measure the degree of automation for each
task type by correlating skill requirement and job automation.
Methodology
• Hierarchical relationship between job, task, and skill
• Step 1. Constructing 2-mode network (job-skill network)
• Step 2. Projecting 2-mode network into 1-mode network
(skill network)
• Step 3. Constructing a minimum spanning tree
• Step 4. Clustering the skill nodes to identify task types
Discussion
• Our measure of automation for each task type can be
applied to investigate the impacts of skill-biased
technological change (SBTC) on wage and employment.
• Our methodology can complement the extant literature on
impacts of technological change.
not directly observed
from labor statistics