Table 7 Conditional indirect effect of AIC-GVC-ECP/ENP/SOP link at specific levels of GER and GEI.

From: Unpacking the mechanisms and consequences of artificial intelligence in enabling green value co-creation for SMEs

Link

GER

GEI

Effect

BootSE

BootLLCI

BootULCI

AIC-GVC-ECP

2.8254

3.1646

0.0386

0.0251

-0.0104

0.0886

2.8254

4.4968

0.0924

0.0222

0.0486

0.1356

2.8254

5.8290

0.1462

0.0287

0.0904

0.2044

4.1610

3.1646

0.1325

0.0239

0.0867

0.1809

4.1610

4.4968

0.1863

0.0190

0.1489

0.2240

4.1610

5.8290

0.2401

0.0248

0.1933

0.2903

5.4966

3.1646

0.2264

0.0308

0.1676

0.2883

5.4966

4.4968

0.2802

0.0257

0.2311

0.3312

5.4966

5.8290

0.3340

0.0290

0.2796

0.3932

AIC-GVC-ENP

2.8254

3.1646

0.0405

0.0251

-0.0094

0.0895

2.8254

4.4968

0.0969

0.0225

0.0527

0.1409

2.8254

5.8290

0.1534

0.0304

0.0942

0.2139

4.1610

3.1646

0.1390

0.0241

0.0935

0.1872

4.1610

4.4968

0.1955

0.0204

0.1563

0.2360

4.1610

5.8290

0.2519

0.0282

0.1965

0.3091

5.4966

3.1646

0.2376

0.0322

0.1766

0.3019

5.4966

4.4968

0.2940

0.0288

0.2401

0.3526

5.4966

5.8290

0.3504

0.0340

0.2846

0.4205

AIC-GVC-SOP

2.8254

3.1646

0.0382

0.0241

-0.0095

0.0854

2.8254

4.4968

0.0913

0.0221

0.0500

0.1367

2.8254

5.8290

0.1445

0.0299

0.0896

0.2060

4.1610

3.1646

0.1310

0.0244

0.0845

0.1828

4.1610

4.4968

0.1842

0.0224

0.1425

0.2299

4.1610

5.8290

0.2374

0.0301

0.1811

0.2985

5.4966

3.1646

0.2239

0.0338

0.1608

0.2941

5.4966

4.4968

0.2771

0.0322

0.2160

0.3412

5.4966

5.8290

0.3303

0.0379

0.2573

0.4062

  1. Notes: (1) Lower and upper bound of 95% bootstrap confidence interval for that effect using 5,000 bootstrap samples; (2) coefficients represent specific indirect effects and standard errors at different values (-1SD, 0, +1SD) of the moderators GER and GEI.
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