Table A12.

Configurations for improving university performance – Mexico

Models for high UPERCUCCModels for low UPERCUCC
Model1a: UPE = f(RES*PRO*PEO)Model1b: ∼UPE = f(RES*PRO*PEO)
1. ∼RES*PRO*PEO0.3050.3050.8091. ∼RES*PRO*PEO0.2600.2600.748
Solution coverage: 0.305
Solution consistency: 0.809
Solution coverage: 0.260
Solution consistency: 0.748
Model2a: UPE = f(NVE*INN*SEL*PRT)Model2b: ∼ UPE = f(NVE*INN*SEL*PRT)
1. NVE*INN0.7020.1100.8141. ∼NVE*∼INN*∼SEL*∼PRT0.6080.6080.818
2. INN*PRT0.6330.0420.794    
Solution coverage: 0.744
Solution consistency: 0.802
Solution coverage: 0.608
Solution consistency: 0.818
Model3a: UPE = f(RES*PRO*PEO*NVE*INN*SEL*PRT)Model3b: ∼ UPE = f(RES*PRO*PEO*NVE*INN*SEL*PRT)
1. ∼RES*∼PRO*∼PEO*INN*SEL*∼PRT0.2620.1070.8051. ∼PRO*∼PEO*∼NVE*∼INN*∼SEL*∼PRT0.4420.1700.829
2. RES*PRO*PEO*∼NVE*INN*SEL*PRT0.2310.0700.8352. RES*∼PRO*∼NVE*∼INN*∼SEL*∼PRT0.3010.0330.847
Solution coverage: 0.381
Solution consistency: 0.800
Solution coverage: 0.528
Solution consistency: 0.848

Note(s): RC = raw coverage; UC = unique coverage; C = consistency; RES = resource; PRO = process; PEO = people; NVE = new venture behaviour; INN = innovativeness; SEL = self-renewal; PRT = proactiveness; UPE = university performance. RC >0.2 are reported

Source(s): Authors’ own creation/work

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