The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
HIGH-INVOLVEMENT WORK PRACTICES, TURNOVER, AND PRODUCTIVITY: EVIDENCE FROM NEW ZEALAND.
Abstract
Study results indicate a positive association between use of high-involvement work practices and employee retention and firm productivity. A disordinal interaction was indicated: employee turnover was associated with decreased productivity when use of high-involvement work practices was high and with increased productivity when use of these practices was low.
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Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342
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Metadata
- Authors
- Guthrie, J. P.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- Published
- 2001-02-01
- Volume
- 44
- Issue
- 1
- Pages
- 180-190
- ISSN
- 0001-4273 (ISSN-L)
- 1948-0989
- OpenAlex
- W2059056973
- Cited by
- 1,737
- References
- 5
- FWCI
- 44.80
- Type
- journal article
- Language
- en
- Open access
- closed
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