Predicting Potential For Promotion: How The Data In Human Resource  Information Systems Can Be Used To Help Organizations Gain Competitive Advantage

Fields, Gary S.

dc.contributor.author	Fields, Gary S.
dc.date.accessioned	2020-11-25T14:55:56Z
dc.date.available	2020-11-25T14:55:56Z
dc.date.issued	2002-07-01
dc.identifier.other	112545
dc.identifier.uri	https://hdl.handle.net/1813/77385
dc.description.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.
dc.language.iso	en_US
dc.subject	performance
dc.subject	engineers
dc.subject	Engineering Solutions
dc.subject	firm
dc.subject	work
dc.subject	job
dc.subject	company
dc.subject	promotion
dc.title	Predicting Potential For Promotion: How The Data In Human Resource Information Systems Can Be Used To Help Organizations Gain Competitive Advantage
dc.type	preprint
dc.description.legacydownloads	WP02_14.pdf: 3269 downloads, before Oct. 1, 2020.
local.authorAffiliation	Fields, Gary S.: gsf2@cornell.edu Cornell University