Publication Date

July 2002

Abstract

This paper utilizes the data contained in the Human Resources Information System (HRIS) of a company, called here “Engineering Solutions,” and analyzes the drivers of potential for promotion among a sample of engineers. The methods used consist of basic statistical procedures, multiple regressions, ordered logits, and decompositions. The results show which variables are the main drivers of potential for promotion in this organization, which are minor drivers, and which do not matter at all.

Comments

Suggested Citation
Fields, G. S. (2002). Predicting potential for promotion: How the data in human resource information systems can be used to help organizations gain competitive advantage (CAHRS Working Paper #02-14). Ithaca, NY: Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource Studies. BR>http://digitalcommons.ilr.cornell.edu/cahrswp/55

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