Nonaka and Takeuchi's SECI model describes knowledge creation as a spiral of conversion betweentacit and explicit knowledge. The cycle is correct. Nonaka developed it on the foundation ofShimizu's philosophy of ba—generative fields in which relations, not individuals, are primary. Thisgrounding produced a powerful framework, though many practitioners have reported difficulties inscaling it beyond bounded settings. This paper proposes dSECI (encounter-driven SECI). The coreidea is to decompose ba to its smallest relational unit—a single encounter between two entities—andto redesign knowledge flow and storage at the same granular level. The concept originates fromsoftware architecture: the shift from batch processing to event-driven streaming as a means ofachieving unlimited scale. By making the SECI cycle encounter-driven, dSECI enables scalingwithout modifying the model. This encounter-driven form turns out to coincide with how knowledgehas been transmitted universally across human history, suggesting that dSECI recovers a structurethat predates the SECI model itself.
Franny Philos Sophia (Sat,) studied this question.