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Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China
Background: Limited studies have explored the relationship among cross-organizational and multidisciplinary medical staff. Aim: The present study conducted an in-depth examination and validation of the influence of complex cross-organization and multidisciplinary social networks on the job performan...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419314/ https://www.ncbi.nlm.nih.gov/pubmed/37570458 http://dx.doi.org/10.3390/healthcare11152218 |
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author | Xia, Qingyun Xu, Yanyun Liu, Xiang Liu, Yingzi Wu, Jian Zhang, Meng |
author_facet | Xia, Qingyun Xu, Yanyun Liu, Xiang Liu, Yingzi Wu, Jian Zhang, Meng |
author_sort | Xia, Qingyun |
collection | PubMed |
description | Background: Limited studies have explored the relationship among cross-organizational and multidisciplinary medical staff. Aim: The present study conducted an in-depth examination and validation of the influence of complex cross-organization and multidisciplinary social networks on the job performance of team members. Method: Multi-level hierarchical regression analysis was used to assess the impact of the centrality and the characteristics of structural holes in social networks (i.e., advice network, information network, friendship network, and trust network) on job performance. Results: The in-closeness centrality of the advice network (β = 0.176, p < 0.05) and the betweenness centrality of the trust network (β = 0.126, p < 0.05) had positive effects on task performance. The in-closeness centrality of the advice network (β = 0.226, p < 0.05; β = 0.213, p < 0.05) and the CI (1 − constraint index) of the friendship network (β = 0.130, p < 0.05; β = 0.132, p < 0.05) had positive effects on contextual performance and overall job performance. Meanwhile, the out-closeness centrality of the information network (β = −0.368, p < 0.01; β = −0.334, p < 0.05) had a negative effect on contextual performance and overall job performance. Conclusions: This study investigates the relationship between healthcare professionals’ job performance and their social networks, taking into account the perspectives of cross-organizational and multidisciplinary teams. The study contributes to the effort of breaking down barriers between different disciplines and organizations, and ultimately, improving the quality of healthcare delivery. |
format | Online Article Text |
id | pubmed-10419314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104193142023-08-12 Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China Xia, Qingyun Xu, Yanyun Liu, Xiang Liu, Yingzi Wu, Jian Zhang, Meng Healthcare (Basel) Article Background: Limited studies have explored the relationship among cross-organizational and multidisciplinary medical staff. Aim: The present study conducted an in-depth examination and validation of the influence of complex cross-organization and multidisciplinary social networks on the job performance of team members. Method: Multi-level hierarchical regression analysis was used to assess the impact of the centrality and the characteristics of structural holes in social networks (i.e., advice network, information network, friendship network, and trust network) on job performance. Results: The in-closeness centrality of the advice network (β = 0.176, p < 0.05) and the betweenness centrality of the trust network (β = 0.126, p < 0.05) had positive effects on task performance. The in-closeness centrality of the advice network (β = 0.226, p < 0.05; β = 0.213, p < 0.05) and the CI (1 − constraint index) of the friendship network (β = 0.130, p < 0.05; β = 0.132, p < 0.05) had positive effects on contextual performance and overall job performance. Meanwhile, the out-closeness centrality of the information network (β = −0.368, p < 0.01; β = −0.334, p < 0.05) had a negative effect on contextual performance and overall job performance. Conclusions: This study investigates the relationship between healthcare professionals’ job performance and their social networks, taking into account the perspectives of cross-organizational and multidisciplinary teams. The study contributes to the effort of breaking down barriers between different disciplines and organizations, and ultimately, improving the quality of healthcare delivery. MDPI 2023-08-07 /pmc/articles/PMC10419314/ /pubmed/37570458 http://dx.doi.org/10.3390/healthcare11152218 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xia, Qingyun Xu, Yanyun Liu, Xiang Liu, Yingzi Wu, Jian Zhang, Meng Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title | Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title_full | Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title_fullStr | Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title_full_unstemmed | Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title_short | Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China |
title_sort | effects of social networks on job performance of individuals among the hypertension management teams in rural china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419314/ https://www.ncbi.nlm.nih.gov/pubmed/37570458 http://dx.doi.org/10.3390/healthcare11152218 |
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