Table II.

Determinants of adaptive customization and organization restructuring: first-stage ordered and binary logit instrumental variable approach

Model componentsCUSTORG
Model 1Model 2Model 3Model 4
ORG 1.29*** (0.45)  
CUST   1.25*** (0.44)
lagged_KCS0.10 (0.94)0.20 (0.92)−1.59 (1.02)−1.74 (1.07)
lagged_VS1.50 (1.93)2.72 (2.03)−4.57** (1.96)−5.18** (2.03)
lagged_MFP0.18 (0.38)0.18 (0.40)0.14 (0.33)0.12 (0.32)
lagged_LABOR (log)−0.10 (0.34)−0.02 (0.36)−0.26 (0.30)−0.22 (0.32)
lagged_SALES (log)−0.13 (0.33)−0.22 (0.35)0.23 (0.31)0.24 (0.33)
MANUFACT0.23 (0.57)0.32 (0.57)−0.38 (0.46)−0.43 (0.47)
INTER_IS1.35** (0.57)1.18** (0.57)1.07** (0.45)0.88* (0.46)
ABROAD0.38 (0.48)0.26 (0.46)0.49 (0.45)0.43 (0.45)
ACCOUNT = 11.93** (0.75)1.74** (0.80)1.20** (0.58)0.81 (0.62)
ACCOUNT = 21.39** (0.54)1.17** (0.57)1.20*** (0.45)0.95** (0.47)
CONSTANT−1.51 (1.72)−2.27 (1.78)0.72 (1.63)0.49 (1.69)
N (firms)175175175175
Wald χ230.1133.8330.5040.69
McFadden's R20.180.220.160.20

Notes:

Positive coefficients indicate a greater probability of pursuing resource co-specialization in enterprise systems implementation;

*p < 0.1;

**p < 0.05;

***p < 0.01 (Robust standard errors in parentheses)

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