The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
What Works at Work: Overview and Assessment
Abstract
This article discusses why it is difficult to measure the effects of management practices on organizational performance. In spite of these difficulties, a collage of evidence suggests that innovative workplace practices can increase performance, primarily through the use of systems of related practices that enhance worker participation, make work design less rigid, and decentralize managerial tasks. A majority of U.S. businesses have adopted some innovative work practices. However, only a small percentage of businesses have adopted a full system of innovative practices. We outline several constraints on the diffusion of new work practices, and suggest directions for future research
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
Cited by
Organizational Social Capital and Employment Practices
Leana, C. R., & van Buren, H. J. (1999) · The Academy of Management Review · doi:10.5465/amr.1999.2202136 · Cited by 2,063
Business model design and the performance of entrepreneurial firms
Zott, C., & Amit, R. (2007) · Organization Science · doi:10.1287/orsc.1060.0232 · Cited by 1,707
No going back: A review of the literature on sustaining organizational change
Buchanan, D., Fitzgerald, L., Ketley, D., Gollop, R., Jones, J. L., Lamont, S. S., Neath, A., & Whitby, E. (2005) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2005.00111.x · Cited by 475
Why Has Work Effort Become More Intense?
Green, F. (2004) · Industrial Relations: A Journal of Economy and Society · doi:10.1111/j.0019-8676.2004.00359.x · Cited by 408
'Best practice' human resource management: perfect opportunity or dangerous illusion?
Marchington, M., & Grugulis, I. (2000) · The International Journal of Human Resource Management · doi:10.1080/09585190050177184 · Cited by 384
Locke, R. M., & Romis, M. (2010) · Review of International Political Economy · doi:10.1080/09692290902893230 · Cited by 93
Kaur, S., & Kaur, G. (2021) · Employee Relations: The International Journal · doi:10.1108/er-05-2020-0216 · Cited by 25
Metadata
- Authors
- ICHNIOWSKI, C., KOCHAN, T. A., LEVINE, D., OLSON, C., & STRAUSS, G.
- Venue
- Industrial Relations: A Journal of Economy and Society
- Publisher
- Wiley
- Published
- 1996-07
- Volume
- 35
- Issue
- 3
- Pages
- 299-333
- ISSN
- 0019-8676 (ISSN-L)
- 1468-232X
- OpenAlex
- W2109269006
- Cited by
- 778
- References
- 1
- FWCI
- 32.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.