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Based on earlier taxonomies of group composition models, aggregating data from individual-level responses to operationalize group-level constructs is a common aspect of management research. The present study contributes to the literature on group composition models by quantitatively integrating the climate literature via meta-analysis to determine which of the two most common methods of aggregation, direct consensus and referent-shift consensus, is the stronger predictor of group-level outcomes. We found that referent-shift consensus was a stronger predictor of job performance and customer service performance than direct consensus. However, we found that direct consensus was a stronger predictor of job attitudes than referent-shift consensus. We also found that climate-performance relationships were moderated by aggregation method of the performance criterion. The implications of these findings for advancing multi-level theory and research are discussed.
Call Number | Location | Available |
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PSB lt.dasar - Pascasarjana | 1 |
Penerbit | United States: Sage Publication 2016 |
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Edisi | Vol. 42 No. 4, May 2016 |
Subjek | Teams groups/group processes/dynamics culture and climate hierarchical linear modeling (HLM)/multi-level |
ISBN/ISSN | 1557-1211 |
Klasifikasi | NONE |
Deskripsi Fisik | 1029 p. |
Info Detail Spesifik | Journal of Management |
Other Version/Related | Tidak tersedia versi lain |
Lampiran Berkas |