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Table 4 Stochastic actor-oriented model: the network dynamics component of the model estimates the log odds of procuring parts between a client and supplier embedded in network structures and characterized by performance described by the estimated effects; the revenue dynamics component of the model estimates the log odds of increasing productivity by one step on the RPE or ROS scale

From: Analyzing the coevolution of interorganizational networks and organizational performance: Automakers’ production networks in Japan

  RPE ROS
  Topology Flow Topology Flow
Effect name Parameter estimate Std. error Parameter estimate Std. error Parameter estimate Std. error Parameter estimate Std. error
1. Network dynamics
1.1. Endogenous trade network interdependencies
  Network → network
  Reciprocity 2.120* 0.308 2.151* 0.295 2.741* 0.252 2.204* 0.454
  Transitive triplets 0.116 0.071 0.078 0.056 0.089 0.060 0.087 0.053
  Three-cycles 0.139 0.135 0.150 0.143 0.153 0.144 0.153 0.154
  Same suppliers −0.063* 0.025 −0.064* 0.023 −0.073* 0.027 −0.067* 0.020
  Number of second-tier suppliers −0.137* 0.038 −0.138* 0.044 −0.132* 0.033 −0.121* 0.023
  Indegree popularity 0.113* 0.027 0.116* 0.024 0.118* 0.024 0.117* 0.028
  Outdegree −2.593* 0.356 −2.699* 0.314 −2.635* 0.337 −2.754* 0.212
1.2. Effects of firms’ performance z on supply network structures
  Performance → network
  Client’s performance 1.135 1.303 −0.327 1.831 −0.982 1.361 −0.688 1.336
  Supplier’s performance 0.049 0.461 0.029 0.774 0.206 0.445 0.195 0.624
  Similarity in performance −3.022 1.776 −3.953 3.562 −1.451 1.587 −1.231 2.410
2. Performance dynamics
   Baseline performance trend −0.673* 0.231 −0.174 0.180 −0.058 0.167 −0.051 0.194
  Performance → performance
   Quadratic revenue trend −1.267* 0.373 −1.296* 0.470 −0.248 0.278 0.006 0.382
  Network → performance
   Topology: The effect of the number of suppliers on the future performance trend 0.101* 0.033    −0.002 0.012   
   Flow: The effect of the suppliers’ performance on the client’s performance trend    −0.217* 0.110    0.209 0.212
  1. *p < 0.1