Table 3.
Overview of survey items: loadings, construct reliability and convergent validity for the measurement models.
| Code | Model A | Model B | Model C | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| λ | α | ρ | AVE | λ | α | ρ | AVE | λ | α | ρ | AVE | |
| CONDF | 0.8783 | 0.9117 | 0.6749 | 0.8783 | 0.9121 | 0.6762 | 0.8783 | 0.9121 | 0.6764 | |||
| CONDFQ1 | 0.8794 | 0.8776 | 0.8800 | |||||||||
| CONDFQ2 | 0.8227 | 0.8364 | 0.8339 | |||||||||
| CONDFQ3 | 0.7052 | 0.6884 | 0.6896 | |||||||||
| CONDFQ4 | 0.8544 | 0.8589 | 0.8566 | |||||||||
| CONDFQ5 | 0.8349 | 0.8366 | 0.8384 | |||||||||
| DORG | 0.7444 | 0.8835 | 0.7916 | 0.7827 | 0.9000 | 0.8184 | 0.7992 | 0.9083 | 0.8320 | |||
| DORGEC | 0.8481 | 0.9359 | 0.9508 | 0.7957 | 0.8750 | 0.9359 | 0.9517 | 0.7982 | 0.8985 | 0.9359 | 0.9517 | 0.7981 |
| DORGQ1 | 0.9428 | 0.9225 | 0.9151 | |||||||||
| DORGQ2 | 0.9571 | 0.9430 | 0.9373 | |||||||||
| DORGQ3 | 0.9397 | 0.9282 | 0.9263 | |||||||||
| DORGQ4 | 0.8486 | 0.8721 | 0.8803 | |||||||||
| DORGQ5 | 0.7552 | 0.7928 | 0.8011 | |||||||||
| DORGS | 0.9295 | 0.8778 | 0.9154 | 0.324 | 0.9334 | 0.8778 | 0.9171 | 0.7357 | 0.9256 | 0.8778 | 0.9167 | 0.7344 |
| DORGQ6 | 0.7040 | 0.7507 | 0.7784 | |||||||||
| DORGQ7 | 0.8463 | 0.8354 | 0.8156 | |||||||||
| DORGQ8 | 0.9152 | 0.8986 | 0.8918 | |||||||||
| DORGQ9 | 0.9381 | 0.9349 | 0.9333 | |||||||||
| ACAP | 0.7533 | 0.8849 | 0.6602 | 0.7524 | 0.8840 | 0.6580 | ||||||
| AD | 0.6617 | 0.7117 | 0.8083 | 0.5937 | 0.6735 | 0.7117 | 0.7973 | 0.5810 | ||||
| ADQ1 | 0.8651 | 0.8772 | ||||||||||
| ADQ2 | 0.8599 | 0.8571 | ||||||||||
| ADQ3 | 0.5416 | 0.4890 | ||||||||||
| AS | 0.8483 | 0.8621 | 0.9072 | 0.7108 | 0.8271 | 0.8621 | 0.9072 | 0.7108 | ||||
| ASQ1 | 0.8851 | 0.8867 | ||||||||||
| ASQ2 | 0.9039 | 0.9007 | ||||||||||
| ASQ3 | 0.8341 | 0.8323 | ||||||||||
| ASQ4 | 0.7397 | 0.7435 | ||||||||||
| TRANSF | 0.8363 | 0.9540 | 0.9668 | 0.8793 | 0.8351 | 0.9540 | 0.9669 | 0.8795 | ||||
| TRANSFQ1 | 0.8940 | 0.8884 | ||||||||||
| TRANSFQ2 | 0.9537 | 0.9549 | ||||||||||
| TRANSFQ3 | 0.9321 | 0.9359 | ||||||||||
| TRANSFQ4 | 0.9694 | 0.9702 | ||||||||||
| EX | 0.8855 | 0.8896 | 0.9316 | 0.8203 | 0.8927 | 0.8896 | 0.9308 | 0.8186 | ||||
| EXQ1 | 0.8128 | 0.7979 | ||||||||||
| EXQ2 | 0.9441 | 0.9504 | ||||||||||
| EXQ3 | 0.9534 | 0.9569 | ||||||||||
| INN | 0,9521 | 0,9765 | 0,9542 | |||||||||
| INNTEC | 0.9741 | 0.9380 | 0.9529 | 0.8018 | ||||||||
| INNQ1 | 0.9109 | |||||||||||
| INNQ2 | 0.8949 | |||||||||||
| INNQ3 | 0.8823 | |||||||||||
| INNQ4 | 0.9343 | |||||||||||
| INNQ5 | 0.8527 | |||||||||||
| INNADMIN | 0.9795 | 0.9136 | 0.9393 | 0.7945 | ||||||||
| INNQ6 | 0.8858 | |||||||||||
| INNQ7 | 0.8728 | |||||||||||
| INNQ8 | 0.9201 | |||||||||||
| INNQ9 | 0.8861 | |||||||||||
λ, Loading; α, Cronbach's alpha: ρ, Composite reliability; AVE, Average variance extracted; CONDF, Training (reflective construct); DORG, Organizational performance (superordinate multidimensional construct); DORGEC, Economic performance; DORGS, Satisfaction performance; ACAP, absorptive capacity (superordinate construct); AD, Acquisition; AS, Assimilation; TRANSF, Transformation; EX, Exploitation; INN, Innovative capacity (superordinate construct); INNTEC, Product innovation; INNADMIN, Process innovation.