{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T14:48:04Z","timestamp":1777042084910,"version":"3.51.4"},"reference-count":45,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2017,4,3]],"date-time":"2017-04-03T00:00:00Z","timestamp":1491177600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BPMJ"],"published-print":{"date-parts":[[2017,4,3]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to present a social network approach for identification of micro-organizational re-design interventions to make more efficient and fluid the knowledge flow in a rehabilitation multidisciplinary team. The structural information of different kinds of knowledge networks within a team is augmented with additional analyses aimed at collecting information about the ways through which participants use knowledge, the motivation behind knowledge exchange, and the non-human knowledge sources used by subjects to perform their work. This paperwork was supported by CNCSIS \u2013 UEFISCDI, project number PNII \u2013 IDEI 810\/2008.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The authors propose a definition of knowledge network including human and non-human knowledge source (documents and knowledge repositories) as it is more adequate for the analysis of knowledge flows in multidisciplary medical teams. The mapping and analysis of the network are carried out through: elicitation of knowledge flows between people within and outside the team through a structured questionnaire; mapping of the knowledge flows toward non-human knowledge sources; and identification of critical aspects and proposal of re-engineering interventions to make knowledge flow more efficient and effective.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The analysis of the critical aspects emerged in the field study identifies a number of opportunities to improve the efficiency and effectiveness of knowledge sharing through the re-design of the team network. The re-design interventions concern three main features of knowledge network: \u201cknowledge centralization,\u201d \u201cOver-reliance on External experts,\u201d \u201cUnshared knowledge tools and sources.\u201d<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The originality of the work resides in applying social network analysis (SNA) for healthcare management settings, proving evidence and guidelines to show how healthcare organizations can benefit from the adoption of SNA-based approaches.<\/jats:p><\/jats:sec>","DOI":"10.1108\/bpmj-01-2016-0028","type":"journal-article","created":{"date-parts":[[2017,3,28]],"date-time":"2017-03-28T06:57:31Z","timestamp":1490684251000},"page":"329-348","source":"Crossref","is-referenced-by-count":9,"title":["Mapping knowledge networks for organizational re-design in a rehabilitation 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