Electronic employee selection systems and methods

US7310626B2 · kind B2 · utility

Assignee

• Kronos Talent Management Inc. · US

Inventors

• David J. Scarborough · West Linn, US
• Bjorn Chambless · Portland, US
• Richard W. Becker · Camarillo, US
• Thomas F. Check · Beaverton, US
• Deme M. Clainos · Lake Oswego, US
• Maxwell W. Eng · Portland, US
• Joel R. Levy · Portland, US
• Adam N. Mertz · Portland, US
• George E. Paajanen · West Linn, US
• David R. Smith · Durham, US
• John R. Smith · Pittsburgh, US

Key dates

• Filing date: Jan 24, 2005
• Grant date: Dec 18, 2007
• Expiry date: Jan 24, 2025

Classification

• Technology area (CPC G): Physics
• CPC primary: G09B7/02
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.