Common use of Robustness Checks Clause in Contracts

Robustness Checks. As reported in Tables 5 and 6, I re-estimated the models by including market orientation and cross-functional integration as control variables to ensure that CBM effect was still significant after controlling for those two related conditions. H1a and b and the results for the interactions are consistent with the results of the analysis without these control variables. Moreover, the incremental R2 explained by adding CBM to models that included market orientation and cross functional integration, respectively, is statistically significant at p<0.05 in the sales growth and employee engagement models indicating that a CBM measure that focuses on internal and community constituencies explains variance over and above these two established variables9. To examine persistence and proxy for omitted variables, I included the lag dependent variable in the sales growth model, in addition to the firm and country level controls. The pattern of results remained largely stable to this addition. In order to verify that the choice of the estimation approach did not bias the results, I also re-estimated the four recursive equations utilizing Roodman’s (2009) conditional mixed process 9 The effect of the CBM measure that includes market constituents however becomes weaker when market orientation is added to the model and in some cases becomes insignificant.

Robustness Checks. As reported in Tables 5 and 6, I re-estimated the models by including market orientation and cross-functional integration as control variables to ensure that CBM effect was still significant after controlling for those two related conditions. H1a and b and the results for the interactions are consistent with the results of the analysis without these control variables. Moreover, the incremental R2 explained by adding CBM to models that included market orientation and cross functional integration, respectively, is statistically significant at p<0.05 in the sales growth and employee engagement models indicating that a CBM measure that focuses on internal and community constituencies explains variance over and above these two established variables9. To examine persistence and proxy for omitted variables, I included the lag dependent variable in the sales growth model, in addition to the firm and country level controls. The pattern of results remained largely stable to this addition. In order to verify that the choice of the estimation approach did not bias the results, I also re-estimated the four recursive equations utilizing Roodman’s ▇▇▇▇▇▇▇’▇ (2009) conditional mixed process 9 The effect of the CBM measure that includes market constituents however becomes weaker when market orientation is added to the model and in some cases becomes insignificant.