| Title |
Integrating Motivational, Social, and Contextual Work Design Features: A Meta-Analytic Summary and Theoretical Extension of the Work Design Literature
|
|---|---|
| Published in |
Journal of Applied Psychology, January 2007
|
| DOI | 10.1037/0021-9010.92.5.1332 |
| Pubmed ID | |
| Authors | |
| Abstract |
The authors developed and meta-analytically examined hypotheses designed to test and extend work design theory by integrating motivational, social, and work context characteristics. Results from a summary of 259 studies and 219,625 participants showed that 14 work characteristics explained, on average, 43% of the variance in the 19 worker attitudes and behaviors examined. For example, motivational characteristics explained 25% of the variance in subjective performance, 2% in turnover perceptions, 34% in job satisfaction, 24% in organizational commitment, and 26% in role perception outcomes. Beyond motivational characteristics, social characteristics explained incremental variances of 9% of the variance in subjective performance, 24% in turnover intentions, 17% in job satisfaction, 40% in organizational commitment, and 18% in role perception outcomes. Finally, beyond both motivational and social characteristics, work context characteristics explained incremental variances of 4% in job satisfaction and 16% in stress. The results of this study suggest numerous opportunities for the continued development of work design theory and practice. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | <1% |
| Germany | 10 | <1% |
| United Kingdom | 7 | <1% |
| Netherlands | 7 | <1% |
| Switzerland | 3 | <1% |
| Australia | 2 | <1% |
| France | 2 | <1% |
| India | 2 | <1% |
| South Africa | 2 | <1% |
| Other | 12 | <1% |
| Unknown | 2520 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 420 | 16% |
| Student > Ph. D. Student | 386 | 15% |
| Student > Bachelor | 234 | 9% |
| Student > Doctoral Student | 194 | 7% |
| Researcher | 118 | 5% |
| Other | 392 | 15% |
| Unknown | 843 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 655 | 25% |
| Psychology | 581 | 22% |
| Social Sciences | 180 | 7% |
| Economics, Econometrics and Finance | 54 | 2% |
| Engineering | 41 | 2% |
| Other | 199 | 8% |
| Unknown | 877 | 34% |