Do the web site development drivers influence the timing of adoption

In order to test our assumptions, a one-way between groups multivariate analysis of variance was performed to investigate differences in factors influencing web site development among the adopter categories. The four dependent variables used consisted of the regression factor scores of the four dimensions influencing web site development: emergent, deliberate, responsive and me-too influences. The independent variable consisted of the adopter categories. Preliminary assumption testing was conducted to check for normality, linearity, univariate and multivariate outliers, homogeneity of variance-covariance matrices, and multicollinearity with no serious violations noted. Box's M sig. value of 0.957 clearly indicates that the data does not violate the assumption of homogeneity of variance-covariance matrices (as it is greater than0.001). Levene's test of equality of error variances also indicates that the assumption of equality of variance for each of the web site development influencing dimensions has not been violated (e.g. sig. values of 0.376, 0.945, 0.429, and 0.751 respectively for each of the four factors are all greater than 0.05).

Statistically significant differences were found between the adopter categories on the combined dependent variables (see Table VI). Wilk's Lambda value of 0.828 and sig. of 0.002 (i.e. less than 0.05) indicates there is a statistically significant difference among the adopter groups in terms of the overall factors influencing web site adoption. However, to what extent do adopter categories differ on all the factors influencing web site development? To answer this, it is necessary to consider the dependent variables separately.

Table VI Reliability of scale constructs

Reliability analysis

Factor 1

Factor 2

Factor 3

Factor 4

Alpha coefficient





No. of items





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