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A Systems View Across Time and Space

Table 6 RMSE values of artificial neural networks (N = 284)

From: Modelling the significance of strategic orientation for competitive advantage and economic sustainability: the use of hybrid SEM–neural network analysis

Network

Sample size (training)

Sample size (testing)

RMSE (training)

RMSE (testing)

Sample size (training)

Sample size (testing)

RMSE (training)

RMSE (testing)

Model A: factors effecting competitive advantage

Model B: factors effecting economic sustainability

1

194

90

0.437

0.382

203

81

0.414

0.414

2

202

82

0.439

0.409

188

96

0.433

0.437

3

187

97

0.429

0.420

193

91

0.469

0.438

4

199

85

0.439

0.369

197

87

0.441

0.469

5

205

79

0.496

0.469

187

97

0.455

0.454

6

208

76

0.463

0.380

199

85

0.476

0.531

7

200

84

0.458

0.388

192

92

0.427

0.408

8

202

82

0.496

0.494

196

88

0.479

0.452

9

202

82

0.452

0.471

196

88

0.447

0.470

10

190

94

0.399

0.547

196

88

0.462

0.421

  

Mean

0.451

0.433

 

Mean

0.450

0.449

 

Standard deviation

0.030

0.059

Standard deviation

0.022

0.036

  1. Source: author’s data analysis