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      Conceptualising social media support for tacit knowledge sharing: physicians’ perspectives and experiences

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      Journal of Knowledge Management
      Emerald

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          Abstract

          Purpose

          This paper aims to explore the potential contributions of social media in supporting tacit knowledge sharing, according to the physicians’ perspectives and experiences.

          Design/methodology/approach

          Adopting a qualitative survey design, 24 physicians were interviewed. Purposive and snowball sampling were used to select the participants. Thematic analysis approach was used for data analysis.

          Findings

          The study revealed five major themes and over 20 sub-themes as potential contributions of social media to tacit knowledge flow among physicians. The themes included socialising, practising, networking, storytelling and encountering. In addition, with the help of the literature and the supporting data, the study proposed a conceptual model that explains the potential contribution of social media to tacit knowledge sharing.

          Research limitations/implications

          The study had both theoretical (the difficulty of distinguishing tacit and explicit knowledge in practice) and practical limitations (small sample size). The study findings have implications for the healthcare industry whose clinical teams are not always physically co-located but must exchange their critical experiential and tacit knowledge.

          Originality/value

          The study has opened up a new discussion of this area by demonstrating and conceptualising how social media tools may facilitate tacit knowledge sharing.

          Related collections

          Most cited references55

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          Using thematic analysis in psychology

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            A Dynamic Theory of Organizational Knowledge Creation

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              Techniques to Identify Themes

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                Author and article information

                Journal
                Journal of Knowledge Management
                JKM
                Emerald
                1367-3270
                April 04 2016
                April 04 2016
                : 20
                : 2
                : 344-363
                Article
                10.1108/JKM-06-2015-0229
                0484ff41-66b4-4fa3-a1c3-42f6a5f527e0
                © 2016

                https://www.emerald.com/insight/site-policies


                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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