Figure 6
A knowledge conversion model links human and machine dimensions through 5 proposed conversion modes, alongside thematic dimensions and traditional knowledge processes.The model has a Human Dimension at the top and a Machine Dimension at the bottom. In the Human Dimension, Tacit Knowledge appears on the left with a head and gears, and Explicit Knowledge appears on the right with books. Socialisation forms a loop around Tacit Knowledge. Externalisation runs from Tacit Knowledge to Explicit Knowledge. Combination forms a loop around Explicit Knowledge. Internalisation runs from Explicit Knowledge back to Tacit Knowledge. This upper area is enclosed by the overarching dimension The impact on traditional knowledge creation processes 1 plus Risk of introducing Gen A I in knowledge practices 6. Between the human and machine dimensions, Synthetic data generation 2 contains C M 2 and C M 1, while Human governance in Gen A I mediated knowledge processes 5 contains C M 3 and Gen A I as a driver for knowledge enhancement 3. In the Machine Dimension, Data appears on the left with database symbols and Artificial Knowledge appears on the right with a processor symbol. The area is labelled Emergence of Gen A I novel insights 4. Dashed proposed conversion modes connect Tacit Knowledge downward to Data as C M 2, Data diagonally upward to Explicit Knowledge as C M 1, Artificial Knowledge upward to Explicit Knowledge as C M 3, Artificial Knowledge leftward to Data as C M 4, and Data rightward to Artificial Knowledge as C M 5. A legend identifies circles as literature derived elements, dash-dotted rounded boundaries as overarching dimensions from thematic analysis, solid arrows as already formalised conversion modes, and dashed arrows as proposed conversion modes, C M.

Conceptual framework extending the SECI model through the integration of human and machine dimensions and the associated knowledge conversion modes

Source: Authors’ own work

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