Table 2.

Results of the logit model testing the direct effect of high-performance work systems on innovation and the two-way and three-way interaction

VariablesModel 1Model 2Model 3
InnovationInnovationInnovation
βSEβSEβSE
Control variables
CountriesYes Yes Yes 
SmallComp−0.465***0.116−0.230(.)0.127−0.239(.)0.127
MediumComp−0.1870.122−0.0440.133−0.0540.134
Constr_sect−1.423***0.106−1.207***0.109−1.220***0.109
Service_sect−0.696***0.070−0.762***0.072−0.761***0.072
Logyears−0.0290.089−0.0490.091−0.0230.091
Inn_strat0.516***0.0660.498***0.0680.487***0.067
MarketComp0.445***0.0890.421***0.0900.404***0.088
Independent variables
HPWSs0.041***0.00330.026***0.0030.021***0.004
TECH  0.486***0.0310.499***0.032
HPWSxTECH  0.005.0.0030.006(.)0.003
EMPL_PAR    0.202***0.034
HPWSxEMP_PAR    −0.0040.003
TECHxEMP_PAR    0.0210.032
HPWSxTECHxEMP_PAR    −0.007**0.003
Pseudo R20.0820.1140.120
Observations18,27818,27818,278
Chi-square (df)703.87*** (35)901.43*** (37)939.84*** (41)

Notes:

Robust standard errors; Significant codes: ***0.001; **0.01; *0.05; and . 0.10; Odds ratios are not reported because of limited space

Source: Authors’ own creation

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