IT Innovation and Job Design

Prasanna Tambe, Operations, Information and Decisions, The Wharton School

Abstract: The proposed study analyzes a data set of over eighty million online job listings from the years 2010 to 2016 (about 1 to 2 million each month). The data include job titles, locations (MSA), industry (NAICS), employer names — and most importantly for this analysis — detail on the specific skills required for a job, including whether a position requires software skills such as TensorFlow, SQL, Hadoop, SAP, Machine learning, FORTRAN, Ruby on Rails, or Perl in addition to “softer” skills such as communication, teamwork, or writing or industry specific skills such as lathe operation or medical coding. When combined with data on technologies, including characteristics such as their age and whether they are proprietary or open source, these data sets enable an analysis of how firms change the requirements of technical jobs depending on whether workers use newer IT innovations or older technologies.

Michelle Eckert is Marketing and Communications Coordinator for the Mack Institute, where she works to engage students, researchers, and corporate partners in opportunities for collaboration. Michelle received her B.A. in Art from Valparaiso University in 2007. Her background includes two AmeriCorps terms of service working to teach mathematics, computer literacy, and job readiness skills to out-of-school youth in Philadelphia, focusing particularly on promoting access to post-secondary education.