Boosting advice and knowledge sharing among healthcare professionals
Colladon, Andrea Fronzetti (University of Perugia. Department of Engineering)
Grippa, Francesca (Northeastern University Boston)
Broccatelli, Chiara (The University of Queensland (Australia))
Mauren, Cynthia (Icahn School of Medicine at Mount Sinai (New York))
Mckinsey, Scarlett (Icahn School of Medicine at Mount Sinai (New York))
Kattan, Jacob (Icahn School of Medicine at Mount Sinai (New York))
Sutton, Evelyne St John (Icahn School of Medicine at Mount Sinai (New York))
Satlin, Lisa (Icahn School of Medicine at Mount Sinai (New York))
Bucuvalas, John (Icahn School of Medicine at Mount Sinai (New York))

Data:	2023
Resum:	Purpose - This study aims to investigate the dynamics of knowledge sharing in health care, exploring some of the factors that are more likely to influence the evolution of idea sharing and advice seeking in health care. Design/methodology/approach - The authors engaged 50 pediatricians representing many subspecialties at a mid-size US children's hospital using a social network survey to map and measure advice seeking and idea sharing networks. Through the application of Stochastic Actor-Oriented Models, the authors compared the structure of the two networks prior to a leadership program and eight weeks post conclusion. Findings - The models indicate that health-care professionals carefully and intentionally choose with whom they share ideas and from whom to seek advice. The process is fluid, non-hierarchical and open to changing partners. Significant transitivity effects indicate that the processes of knowledge sharing can be supported by mediation and brokerage. Originality/value - Hospital administrators can use this method to assess knowledge-sharing dynamics, design and evaluate professional development initiatives and promote new organizational structures that break down communication silos. This work contributes to the literature on knowledge sharing in health care by adopting a social network approach, going beyond the dyadic level and assessing the indirect influence of peers' relationships on individual networks.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Advice networks ; Knowledge sharing ; Healthcare teams ; Social Network Analysis ; Stochastic ; Actor Oriented Models
Publicat a:	Journal of Knowledge Management, Vol. 27 Núm. 8 (2023) , p. 2017-2033, ISSN 1367-3270

DOI: 10.1108/jkm-06-2022-0499

Post-print 31 p, 912.5 KB

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