2336 n=19; M=33.5) presenting multiple deficits and concentrating in Group 2. The intermediate quadrants—To Prepare (18.3%, n=11; M=50.9) with high capabilities but low commitment, showing the highest reconversion concentration at 36.4%—and To Monitor (18.3%, n=11; M=55.2) with high enhancers but low motivation, represent transition potential (see Figure 1). Figure 1 Workforce segmentation by Quadrant Model (n=60). Axes represent meta-indices with empirically-derived median cutpoints. Strategic prioritization follows return-on-investment logic: Priority 1 targets To Prepare → Change Agents transition through organizational bonding strategies (70% success probability in 6 months); Priority 2 addresses To Monitor → Change Agents through intensive technical motivation (60% in 6–9 months); Priority 3 tackles Requiring Intervention through comprehensive re-engagement programs (40% in 12+ months). The underlying cooperative culture (4:1 cooperation ratio) and internal locus of control (42.4%) constitute latent organizational assets activatable through appropriate mechanism design. 4.4 From Diagnosis to Design: Adaptive Learning Architecture The diagnostic findings directly informed the adaptive learning system architecture through three translation principles. First, the supervisor influence finding required designing supervisor-mediated interventions at critical learning junctures, rather than relying solely on autonomous digital learning. Second, the four-category worker segmentation demanded differentiated learning pathways with varying scaffolding intensity—operationalizing Vygotsky’s Zone of Proximal Development by meeting workers at their
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