### TABLE 3 Significant Findings for Moderator Analysis Examining Change Over Time

### Table 12. Results of Moderated Regression Analysis for Study 2

"... In PAGE 15: ... However, contrary to our expectation theorized in H1, negative ratings only had a significant negative impact in two of the tests. Table12 shows the results of the moderated regression analysis, which indicate that product price acts as a moderator on the relationship between negative ratings and price premiums.... ..."

### Table 12. Results of Moderated Regression Analysis for Study 2

"... In PAGE 15: ... However, contrary to our expectation theorized in H1, negative ratings only had a significant negative impact in two of the tests. Table12 shows the results of the moderated regression analysis, which indicate that product price acts as a moderator on the relationship between negative ratings and price premiums.... ..."

### Table 9. Results of Moderated Regression Analysis for Study 1

"... In PAGE 13: ... 1981). In other words, the following regres- sions were performed: PP = $0 + $1 @ Trust + g (4) PP = $0 + $1 @ Trust + $2 @ Price + g (5) PP = $0 + $1 @ Trust + $2 @ Price + $3 @ Trust @ Price + g (6) Table9 shows that product price is a pure moder- ator, indicating that the relationship between trust and price premiums is contingent upon product price. Thus hypothesis 4 is supported.... ..."

### Table 9. Results of Moderated Regression Analysis for Study 1

"... In PAGE 13: ... 1981). In other words, the following regres- sions were performed: PP = $0 + $1 @ Trust + g (4) PP = $0 + $1 @ Trust + $2 @ Price + g (5) PP = $0 + $1 @ Trust + $2 @ Price + $3 @ Trust @ Price + g (6) Table9 shows that product price is a pure moder- ator, indicating that the relationship between trust and price premiums is contingent upon product price. Thus hypothesis 4 is supported.... ..."

### Table 4: Analysis Results for Scenario 2 - Moderate Load

"... In PAGE 8: ... We study 2 deployments - the first with 3 application servers, the second with 6. Table4 summarizes the results from the model analy- sis. Again we obtain very accurate throughputs and uti- lizations, and accurate response times.... ..."

### Table 13. Multiple Regression Analysis of the Effect of Customer Customization Sensitivity on Perceived Usefulness and the Moderator Role of Perceived Customization (n = 270)

"... In PAGE 4: ...erceived Ease of Use and the Moderator Role of Technology Readiness...................... 60 Table 12: Multiple Regression Analysis of the Effect of Perceived Customization on Perceived Usefulness and the Moderator Role of Customer Customization Sensitivity 62 Table13 : Multiple Regression Analysis of the Effect of Customer Customization Sensitivity on Perceived Usefulness and the Moderator Role of Perceived Customization .... ..."

### Table 11. Multiple Regression Analysis of the Effect of Perceived Customization on Perceived Ease of Use and the Moderator Role of Technology Readiness (n = 270)

"... In PAGE 4: ...erceived Usefulness on Attitudes Toward CCHT Products ......................................... 56 Table11 : Multiple Regression Analysis of the Effect of Perceived Customization on Perceived Ease of Use and the Moderator Role of Technology Readiness.... In PAGE 66: ... In order for the hypotheses to be confirmed, g and h (or the beta estimates in the equation) need to be negatively and positively significant respectively. Results for the regression analysis are shown in Table11 .... In PAGE 70: ...25 0.00 Scatterplot of standardized regression residuals Dependent Variable: PU Regression Standardized Predicted Value 3 2 1 0 -1 -2 R eg r e s s i on S t andar di z ed R es i dual 4 3 2 1 0 -1 -2 -3 As seen from Table11 , the analysis indicates that perceived customization was a significant predictor of perceived usefulness (t = 2.7, p lt; .... ..."

### Table 2. Summary of Regression and Path Analysis Articles

"... In PAGE 4: ...he degree to which the phenomena exists in the population remains a mystery for 65.7% of the studies reviewed (see Table 1). A total of 321 moderators were investigated in the articles with 65 assessed as significant, but the majority of these (53) did not report effect size estimates. Moreover, the regression and path analysis techniques, which do provide beta path coefficients, had few significant terms, small effect sizes and low power (see Table2 ). Twelve of twenty-two moderating variables were found to be significant in these articles.... ..."