Case Study
Measuring Productivity: An Application of Principal Components Analysis
This study uses Principal Component Analysis (PCA) to assess productivity within a workplace wellness program.
About this case study
This study uses Principal Component Analysis (PCA) to assess productivity within a workplace wellness program. It analyzes employee survey data, creating a productivity index that combines multiple workplace factors. The goal is to evaluate how these factors relate to productivity and the effectiveness of the wellness program.
Authors
How to cite
"Measuring Productivity: An Application of Principal Components Analysis" by David Molitor and Julian Reif. University of Illinois-Deloitte Foundation Center for Business Emerging Technologies. https://emergingtech.giesbusiness.illinois.edu/distributed-content/measuring-productivity-an-application-of-principal-components-analysis/. Licensed under CC BY-NC-SA 4.0.
Materials are shared under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license.