Factors affecting the acquisition of expert tacit knowledge Case study: Delivery time in twin pregnancy

This paper discovers the necessary variables need for creating models for tacit knowledge acquisition, especially in medical care services. The case studied here, was knowledge of diagnosing and time of delivery in twin pregnancy with nuchal translucency screening. This paper covers the empirical work undertaken on semi-structured interview based on thematic analysis. With regard of theoretical sampling, six university-based participants (three experts in medical science and three knowledge engineers) for the study were selected. Content analysis shows that 20 variables are related to tacit knowledge acquisition. They are categorized in 6 main groups: (1) Knowledge types (2) Knowledge acquisition techniques (3) Environment characteristic (4) Expert trait (5) Knowledge engineer trait and (6) Value chain, are major themes for modeling tacit knowledge acquisition. Kendall's indicator used to assess the degree of consensus. Literature reviews indicate no integrated research has been done about tacit knowledge acquisition especially in medical service. So it is necessary in order to identify factors affecting tacit knowledge acquisition for further modeling all in once.