Internet Banking Service

Table 2: Type of Future Service Required to be Offered by Bank

Service

Count

%Responses

%Case

Purchase

Insurance

63

12.7

21.6

Brokerage

63

12.7

21.6

On-line

Account

Opening

224

45.0

76.7

On-line

Loan

Decision

148

29.7

50.7

Total responses

498

100.00

170.5

Note: 115 missing cases; 292 valid cases

Hypothesis Testing

The hypothesis was tested by (binary) logistic regression analysis, a multivariate technique used to predict the presence or absence of a characteristic or outcome based on values of a set of predictor variables. The technique is similar to a linear regression model but is suitable for models where the dependent variable is dichotomous. Independent variables can be categorical (i.e. ordinal) interval and ratio data (Norusis, 2000). To select predictor variables, the forward stepwise regression method was used. Forward stepwise starts with a model that contains only the constant. Variables are examined based on entry and removal criteria (Norusis, 1999).

Results

The following table summarizes all variables significantly associated with intention to adopt, where B is the regression coefficient, SE is the standard error of B and Sig. is the likelihood of the variable actually being statistically insignificant. The remaining variables were not significant and dropped from the model by the regression analysis program.

Table 3: Logistic Regression Analysis: Forward Stepwise (Wald)

Variable

B

S.E.

Sig.

ABAC Journal Vol. 22, No.3 (September - December, 2002), pp. 63 - 80