Assumption 2, 2r+r 2 s > G, so G J implies T > 2r+r 2 s. impossible. H(Q) L(Q) A(Q), for Q G, D(Q), for Q 4p > Q > G, 4p, for Q Q 4p , A(Q), for Q G, D(Q), for Q 4p > Q > G, E(Q), for Q Q 4p . Q.E.D. Lemma 2 implies that Q K(r,p) T <strong>and</strong> either T 2r+r 2 s or G > J or J 2r+r 2 s (or any of these) is Case 1: Q B(r,p) max{J,G} Since J Q B(r,p), if Q B(p,r) > 0, Q B(r,p) Q B(p,r). Hence, either Q B(p,r) < 0 or G Q B(r,p) Q B(p,r). In either case, B pr(G) A(G). Therefore, K pr(G) = B pr(G) A(G) = D(G), using (8). Also, G Q B(r,p) implies that B rp(G) A(G), so K rp(G) = B rp(G) A(G) = D(G) as before. Therefore, since D(Q) is less steep than K xy(Q), D(Q) K xy(Q) for all Q G. In particular, since G < 2r+r 2 s, D(2r+r 2 s) > K pr(2r+r 2 s) = 4p. Therefore, Q 4p > 2r+r 2 s, <strong>and</strong>, for this case, we have that <strong>and</strong> Moreover, if T > G, then D(T) > K rp(T) = 4p. Therefore, if T > G, then Q 4p > T. Consequently, the optimal organization design in this case for 4F between L(Q) <strong>and</strong> H(Q) is the decentralized P-hierarchy. The optimal design is pictured in Figure 6. D:\Userdata\Research\Hierarchies\temp.wpd 39 February 22, 2000 (11:18AM) (18) (19)
Case 2: G > Q B(r,p) J <strong>and</strong> Figure 6: Optimal Organization Design for 0 < max{G,J} Q B(r,p) Note that, <strong>by</strong> Lemma 2, since G > J, we must have T Q K(r,p). In this case, H(Q) A(Q), for Q Q B (r,p), B rp (Q), Q B (r,p)
- Page 1 and 2: ORGANIZATION DESIGN by Milton Harri
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- Page 35 and 36: Recall A(Q) Q(1 p 2 r 2 ) D G Q, B
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- Page 49: for X = M, CP, CR, and CF implies t