Title |
Does Human Capital Matter? A Meta-Analysis of the Relationship Between Human Capital and Firm Performance
|
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Published in |
Journal of Applied Psychology, January 2011
|
DOI | 10.1037/a0022147 |
Pubmed ID | |
Authors |
T. Russell Crook, Samuel Y. Todd, James G. Combs, David J. Woehr, David J. Ketchen |
Abstract |
Theory at both the micro and macro level predicts that investments in superior human capital generate better firm-level performance. However, human capital takes time and money to develop or acquire, which potentially offsets its positive benefits. Indeed, extant tests appear equivocal regarding its impact. To clarify what is known, we meta-analyzed effects drawn from 66 studies of the human capital-firm performance relationship and investigated 3 moderators suggested by resource-based theory. We found that human capital relates strongly to performance, especially when the human capital in question is not readily tradable in labor markets and when researchers use operational performance measures that are not subject to profit appropriation. Our results suggest that managers should invest in programs that increase and retain firm-specific human capital. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | <1% |
United Kingdom | 9 | <1% |
Malaysia | 7 | <1% |
Germany | 5 | <1% |
Netherlands | 3 | <1% |
Canada | 3 | <1% |
Australia | 3 | <1% |
Pakistan | 1 | <1% |
Hong Kong | 1 | <1% |
Other | 15 | <1% |
Unknown | 1601 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 365 | 22% |
Student > Master | 279 | 17% |
Student > Doctoral Student | 174 | 10% |
Student > Bachelor | 102 | 6% |
Researcher | 82 | 5% |
Other | 308 | 19% |
Unknown | 351 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 728 | 44% |
Economics, Econometrics and Finance | 140 | 8% |
Social Sciences | 123 | 7% |
Psychology | 121 | 7% |
Engineering | 30 | 2% |
Other | 134 | 8% |
Unknown | 385 | 23% |