This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

High performance work systems and organizational outcomes: The mediating role of information quality

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Gil A. Preuss
Abstract

Using data on registered nurses and nursing assistants in 50 acute-care hospital units, the author explores the relationships among high performance work systems, information quality, and performance quality within a context shaped by equivocal information-information that can be interpreted in multiple and sometimes conflicting ways. He finds that the quality of information available for decision-making, which largely depends on the interpretative skills of the workers who are exposed to important equivocal information, partially mediates how employee knowledge, work design, and total quality management systems affect organizational performance (which is measured as the inverse of medication error incidence). Providing employees with extensive relevant knowledge and enabling them to use their skills during even seemingly routine tasks improves the effective quality of information they bring to decision-making, and thereby promotes high performance quality. (Author's abstract.) (Free full-text download available at http://digitalcommons.ilr.cornell.edu/ilrreview/.)

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://digitalcommons.ilr.cornell.edu/ilrreview/vol56/iss4/2
File Format: application/pdf
File Function:
Download Restriction: At http://digitalcommons.ilr.cornell.edu/ilrreview/, all visitors can get free full text downloads of articles published between April 2003 and 18 months prior to today's date. A subscription is required for full-text downloads of more recent articles. Researchers can find older issues of the Review at http://www.jstore.org.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by ILR Review, ILR School, Cornell University in its journal ILR Review.

Volume (Year): 56 (2003)
Issue (Month): 4 (July)
Pages: 590-605
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:ilr:articl:v:56:y:2003:i:4:p:590-605

Contact details of provider:
Fax: 607-255-8016
Web page: http://www.ilr.cornell.edu/ilrreview/
More information through EDIRC

Order Information:
Postal: 621 Ives Hall, Cornell Univ., Ithaca, NY 14853-3901
Email:
Web: http://digitalcommons.ilr.cornell.edu/ilrreview/

For technical questions regarding this item, or to correct its listing, contact: (Jami Carlacio).

Related research
Keywords:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Peter Cappelli & Monika Hamori, 2007. "Are Franchises Bad Employers?," NBER Working Papers 13327, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  2. Grip,Andries,de & Sieben,Inge, 2004. "The Effects of Human Resource Management on Workers' Wages and Firm Productivity," Research Memoranda 001, Maastricht : ROA, Research Centre for Education and the Labour Market. [Downloadable!]
Statistics
Access and download statistics

Did you know? A tutorial is available.

This page was last updated on 2010-3-3.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.