Hypothesis 2

H2. The more an internationalized SME engages in responsible business practices, the better the perceived competitive advantage of the firm.

The basic assumptions were tested, and no violations were discovered. The test results of Ramsey’s RESET test, Durbin’s alternative, White’s test, Shapiro-Wilk test for residuals, as well as test for the variance inflation factor (VIF) and tolerance, the inverse of VIF are presented in the Appendix 7.

Model 2a

The results of the multiple regression analysis of model 2a are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2a is not statistically significant according to the Prob > F = 0.992 at the significance level of 0.05. The R2 of 0.001 indicates that the independent variables, EnvironmentalPracticesL, FirmAge and FirmSize can be used to explain about 0.1 % of the variation in the dependent variable, CA_Product. The coefficients indicate that one unit increase in EnvironmentalPracticesL would results in an increase of 0.007 in the CA_Product. A one unit increase in Firm age would result in a decrease of 0.001 in the CA_Product and a one unit increase in Firm size would result in an increase of 0.001 in the CA_Product.

69 Model 2b

The results of the multiple regression analysis of model 2b are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2b is not statistically significant according to the Prob > F = 0.957 at the significance level of 0.05. The R2 of 0.004 indicates that the independent variables, EnvironmentalPracticesO, FirmAge and FirmSize can be used to explain about 0.4 % of the variation in the dependent variable, CA_Product. The coefficients indicate that one unit increase in EnvironmentalPracticesO would results in an increase of 0.054 in the CA_Product. A one unit increase in Firm age would result in a decrease of 0.001 in the CA_Product and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Product.

Model 2c

The results of the multiple regression analysis of model 2c are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2c is not statistically significant according to the Prob > F = 0.957 at the significance level of 0.05. The R2 of 0.039 indicates that the independent variables, EmployeeEngagement, FirmAge and FirmSize can be used to explain about 3.9 % of the variation in the dependent variable, CA_Product. The coefficients indicate that one unit increase in EmployeeEngagement would results in an increase of 0.258 in the CA_Product. A one unit increase in Firm age would result in a decrease of 0.001 in the CA_Product and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Product.

Model 2d

The results of the multiple regression analysis of model 2d are presented in Appendix 8. The total amount of observations is 87. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The

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model with 87 observations with three independent variables is acceptable and thus results can be generalizable. Model 2d is not statistically significant according to the Prob > F = 0.971 at the significance level of 0.05. The R2 of 0.003 indicates that the independent variables, LocalCommunityEngagement, FirmAge and FirmSize can be used to explain about 0.3 % of the variation in the dependent variable, CA_Product. The coefficients indicate that one unit increase in LocalCommunityEngagement would results in an increase of 0.035 in the CA_Product. A one unit increase in Firm age would result in a decrease of 0.001 in the CA_Product and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Product.

Model 2e

The results of the multiple regression analysis of model 2e are presented in Appendix 8. The total amount of observations is 87. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 87 observations with three independent variables is acceptable and thus results can be generalizable. Model 2e is not statistically significant according to the Prob > F = 0.971 at the significance level of 0.05. The R2 of 0.003 indicates that the independent variables, CustomerEngagement, FirmAge and FirmSize can be used to explain about 0.3 % of the variation in the dependent variable, CA_Product. The coefficients indicate that one unit increase in CustomerEngagement would results in an increase of 0.035 in the CA_Product. A one unit increase in Firm age would result in a decrease of 0.001 in the CA_Product and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Product.

Model 2f

The results of the multiple regression analysis of model 2e are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2f is not statistically significant according to the Prob > F = 0.672 at the significance level of 0.05. The R2 of 0.019 indicates that the independent variables, EnvironmentalPracticesL, FirmAge and FirmSize can be used to explain about 1.9 % of the

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variation in the dependent variable, CA_Quality. The coefficients indicate that one unit increase in EnvironmentalPracticesL would results in an increase of 0.033 in the CA_Quality. A one unit increase in Firm age would result in a decrease of 0.003 in the CA_Quality and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Quality.

Model 2g

The results of the multiple regression analysis of model 2g are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2g is not statistically significant according to the Prob > F = 0.241 at the significance level of 0.05. The R2 of 0.050 indicates that the independent variables, EnvironmentalPracticesO, FirmAge and FirmSize can be used to explain about 0.5 % of the variation in the dependent variable, CA_Quality. The coefficients indicate that one unit increase in EnvironmentalPracticesO would results in an increase of 0.147 in the CA_Quality. A one unit increase in Firm age would result in a decrease of 0.004 in the CA_Quality and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Quality.

Model 2h

The results of the multiple regression analysis of model 2h are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2h is statistically significant according to the Prob > F = 0.030 at the significance level of 0.05. The R2 of 0.103 indicates that the independent variables, EmployeeEngagement, FirmAge and FirmSize can be used to explain about 10.3 % of the variation in the dependent variable, CA_Quality. The coefficients indicate that one unit increase in EmployeeEngagement would results in an increase of 0.297 in the CA_Quality. A one unit increase in Firm age would result in a decrease of 0.003 in the CA_Quality and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Quality. Only the

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coefficient of EmployeeEngagement is statistically significant at the 0.05 significance level, as the p-value is 0.000.

Model 2i

The results of the multiple regression analysis of model 2i are presented in Appendix 8. The total amount of observations is 87. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 87 observations with three independent variables is acceptable and thus results can be generalizable. Model 2i is not statistically significant according to the Prob > F = 0.164 at the significance level of 0.05. The R2 of 0.059 indicates that the independent variables, LocalCommunityEngagement, FirmAge and FirmSize can be used to explain about 5.9 % of the variation in the dependent variable, CA_Quality. The coefficients indicate that one unit increase in LocalCommunityEngagement would results in an increase of 0.131 in the CA_Quality. A one unit increase in Firm age would result in a decrease of 0.003 in the CA_Quality and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Quality.

Model 2j

The results of the multiple regression analysis of model 2j are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2j is statistically significant according to the Prob > F = 0.001 at the significance level of 0.05. The R2 of 0.191 indicates that the independent variables, CustomerEngagement, FirmAge and FirmSize can be used to explain about 19.1% of the variation in the dependent variable, CA_Quality. The coefficients indicate that one unit increase in CustomerEngagement would results in an increase of 0.475 in the CA_Quality. A one unit increase in Firm age would result in a decrease of 0.006 in the CA_Quality and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Quality. Only the coefficient of CustomerEngagement is statistically significant at the 0.05 significance level, as the p-value is 0.000.

73 Model 2k

The results of the multiple regression analysis of model 2k are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2k is not statistically significant according to the Prob > F = 0.324 at the significance level of 0.05. The R2 of 0.041 indicates that the independent variables, EnvironmentalPracticesL, FirmAge and FirmSize can be used to explain about 4.1% of the variation in the dependent variable, CA_Distribution. The coefficients indicate that one unit increase in EnvironmentalPracticesL would results in an increase of 0.106 in the CA_Distribution. A one unit increase in Firm age would result in a decrease of 0.005 in the CA_Distribution and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Distribution.

Model 2l

The results of the multiple regression analysis of model 2l are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2l is statistically significant according to the Prob > F = 0.046 at the significance level of 0.05. The R2 of 0.093 indicates that the independent variables, EnvironmentalPracticesO, FirmAge and FirmSize can be used to explain about 9.3% of the variation in the dependent variable, CA_Distribution. The coefficients indicate that one unit increase in EnvironmentalPracticesO would results in an increase of 0.270 in the CA_Distribution. A one unit increase in Firm age would result in an increase of 0.004 in the CA_Distribution and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Distribution. Only the coefficient of EnvironmentalPracticesO is statistically significant at the 0.05 significance level, as the p-value is 0.009.

74 Model 2m

The results of the multiple regression analysis of model 2m are presented in in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2m is statistically significant according to the Prob > F = 0.037 at the significance level of 0.05. The R2 of 0.098 indicates that the independent variables, EmployeeEngagement, FirmAge and FirmSize can be used to explain about 9.8% of the variation in the dependent variable, CA_Distribution. The coefficients indicate that one unit increase in EmployeeEngagement would results in an increase of 0.359 in the CA_Distribution.

A one unit increase in Firm age would result in an increase of 0.006 in the CA_Distribution and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Distribution.

Only the coefficient of EmployeeEngagement is statistically significant at the 0.05 significance level, as the p-value is 0.007.

Model 2n

The results of the multiple regression analysis of model 2n are presented in Appendix 8. The total amount of observations is 87. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 87 observations with three independent variables is acceptable and thus results can be generalizable. Model 2n is statistically significant according to the Prob > F = 0.026 at the significance level of 0.05. The R2 of 0.105 indicates that the independent variables, LocalCommunityEngagement, FirmAge and FirmSize can be used to explain about 10.5% of the variation in the dependent variable, CA_ Distribution. The coefficients indicate that one unit increase in LocalCommunityEngagement would results in an increase of 0.229 in the CA_

Distribution. A one unit increase in Firm age would result in an increase of 0.006 in the CA_

Distribution and a one unit increase in Firm size would result in an increase of 0.000 in the CA_

Distribution. Only the coefficient of LocalCommunityEngagement is statistically significant at the 0.05 significance level, as the p-value is 0.005.

75 Model 2o

The results of the multiple regression analysis of model 2o are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2o is not statistically significant according to the Prob > F = 0.070 at the significance level of 0.05. The R2 of 0.082 indicates that the independent variables, CustomerEngagement, FirmAge and FirmSize can be used to explain about 8.2% of the variation in the dependent variable, CA_Distribution. The coefficients indicate that one unit increase in CustomerEngagement would results in an increase of 0.384 in the CA_Distribution.

A one unit increase in Firm age would result in an increase of 0.004 in the CA_Distribution and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Distribution.

Model 2p

The results of the multiple regression analysis of model 2p are presented in Appendix 8. The total amount of observations is 85. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 85 observations with three independent variables is acceptable and thus results can be generalizable. Model 2p is not statistically significant according to the Prob > F = 0.779 at the significance level of 0.05. The R2 of 0.013 indicates that the independent variables, EnvironmentalPracticesL, FirmAge and FirmSize can be used to explain about 1.3% of the variation in the dependent variable, CA_Promotion. The coefficients indicate that one unit increase in EnvironmentalPracticesL would results in an increase of 0.041 in the CA_Promotion. A one unit increase in Firm age would result in an increase of 0.002 in the CA_Promotion and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Promotion.

Model 2q

The results of the multiple regression analysis of model 2q are presented in Appendix 8. The total amount of observations is 85. A generally accepted rule is that the ratio of observations to

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independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 85 observations with three independent variables is acceptable and thus results can be generalizable. Model 2q is not statistically significant according to the Prob > F = 0.649 at the significance level of 0.05. The R2 of 0.020 indicates that the independent variables, EnvironmentalPracticesO, FirmAge and FirmSize can be used to explain about 2.0% of the variation in the dependent variable, CA_Promotion. The coefficients indicate that one unit increase in EnvironmentalPracticesO would results in an increase of 0.100 in the CA_Promotion. A one unit increase in Firm age would result in an increase of 0.002 in the CA_Promotion and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Promotion.

Model 2r

The results of the multiple regression analysis of model 2r are presented in Appendix 8. The total amount of observations is 85. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 85 observations with three independent variables is acceptable and thus results can be generalizable. Model 2r is not statistically significant according to the Prob > F = 0.074 at the significance level of 0.05. The R2 of 0.082 indicates that the independent variables, EmployeeEngagement, FirmAge and FirmSize can be used to explain about 8.2% of the variation in the dependent variable, CA_Promotion. The coefficients indicate that one unit increase in EmployeeEngagement would results in an increase of 0.329 in the CA_Promotion.

A one unit increase in Firm age would result in an increase of 0.001 in the CA_Promotion and a one unit increase in Firm size would result in an increase of 0.000 in the CA_Promotion.

Model 2s

The results of the multiple regression analysis of model 2s are presented in Appendix 8. The total amount of observations is 86. A generally accepted rule is that the ratio of observations to independent variables should not be below 5:1 and ideally being from 15 to 20 to one. The model with 86 observations with three independent variables is acceptable and thus results can be generalizable. Model 2s is not statistically significant according to the Prob > F = 0.098 at the significance level of 0.05. The R2 of 0.074 indicates that the independent variables,

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LocalCommunityEngagement, FirmAge and FirmSize can be used to explain about 7.4% of the variation in the dependent variable, CA_Promotion. The coefficients indicate that one unit increase in LocalCommunityEngagement would results in an increase of 0.195 in the CA_Promotion. A one unit increase in Firm age would result in an increase of 0.002 in the CA_Promotion and a one unit increase in Firm size would result in an increase of 0.000 in the

LocalCommunityEngagement, FirmAge and FirmSize can be used to explain about 7.4% of the variation in the dependent variable, CA_Promotion. The coefficients indicate that one unit increase in LocalCommunityEngagement would results in an increase of 0.195 in the CA_Promotion. A one unit increase in Firm age would result in an increase of 0.002 in the CA_Promotion and a one unit increase in Firm size would result in an increase of 0.000 in the