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研究护士创新拥护者及其创新项目传播的个人网络方法
Author(s) -
Luz Shirly,
DrachZahavy Anat,
Shadmi Efrat
Publication year - 2021
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/jan.14620
Subject(s) - social network (sociolinguistics) , ethnic group , personal network , network structure , business , diversity (politics) , interpersonal ties , social network analysis , psychology , marketing , public relations , social psychology , sociology , social media , political science , computer science , social science , machine learning , anthropology , law
Aims To develop and test the relationship between nurse champions’ personal social networks and innovation success in terms of spread. Design A cross sectional. Method(s) Data were collected on 94 nurse champions at three medium‐large tertiary medical centres from 2015–2016. Data from champions on their personal network were assessed via a standardized and acceptable three‐step network survey. Success in terms of innovation spread was assessed via perceived extent of spread. Network structural and relational characteristics were depicted by level of spread. Multivariate linear regression was used to assess the relationship between network characteristics and innovation spread. Findings Above and beyond various project and network control variables, network density was significantly and positively related to project spread, tie‐strength diversity was significantly and negatively related to project spread and difference in ethnic origin between champions and alters was significantly and positively related to project spread. Maximum age of network members was marginally significantly related to project spread. Conclusion(s) Our findings show that high‐density personal social networks; networks where tie strength among network members is similar, thus, creating liking and trust among members; having at least one older network member who might have close access to professional and organizational resources acquired throughout their career; and having ties with network members from different ethnic groups to prevent knowledge stickiness, all promote innovation spread. Champions should be carefully nominated based on their ability to engage network members and to build ties with various network members inside and outside the nursing unit; once selected, champions should be aware of their social networks. Impact The current study explored champions’ personal‐network structure, composition and variance measures and their implications for innovation project spread. The findings demonstrated that nursing champions’ personal social networks matter for innovation spread. This finding has implications for the nominating and the coaching of champions.