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Articles 1 - 2 of 2
Full-Text Articles in Other Engineering
Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi
Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi
Operations Research and Engineering Management Theses and Dissertations
Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.
We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …
Maximizing Financial Benefit Of Lean Six Sigma Projects Through Optimized Selection Criteria, Colin Wasiloff
Maximizing Financial Benefit Of Lean Six Sigma Projects Through Optimized Selection Criteria, Colin Wasiloff
Operations Research and Engineering Management Theses and Dissertations
As evolving threats across the globe keep pace with increasing budget constraints, the US Army’s major subordinate commands and their sub-organizations are constantly challenged to do more with less. Resources such as human capital, information technology, facilities, and budgeted funding are stretched as thin as ever, while requirements to serve the Warfighter remain paramount. Each dollar of financial benefit gained through cost reduction efforts at the US Army can affect the Warfighter directly. Budgeted money saved or avoided is reprogrammed both locally and atop the hierarchy at the Department of Treasury to serve the Warfighter better.
Ordinal Logistic Regression was …