The Impact of Cognitive versus Affective Aspects on Consumer Usage of Financial Service Delivery Channels



The cognitive factors include perceived service quality, perceived service quality of
technology-based interfaces, perceived service quality of human-based interfaces, and
perceived risk (supporting H6 and H7). For this channel ‘perceived communication efforts’
did not emerge as a significant predictor of usage frequency, therefore H8 was not supported.

Branch channel

Table 5: Ordinal logistic regression of the branch channel usage

^

^

^

^

VARIABLES

OR

SE(OR)

β

95% CI

(OR)

p-value

Perceived service quality

2з3

.544

.846

(1.47,3.68)

.000

Tangibles

.68

.103

-.386

(.51,.92)

.011

Perceived communication efforts

.932

.135

-.07

(.702,1.24)

.628

p-value =

Proportional Odds assumption

χ2= 8.35

.214

Measures of fit

LRT (df) a

17.22 (3)

p-value

Log-

.000

likelihood

24.34

AIC

2.178

AIC*n

790.761

Number obs.

363

BIC b

-1325.54

BIC’

0.46

a The likelihood ratio test is performed against the log-likelihood of the intercept-only model. In brackets are
degrees of freedom.

b The BIC criterion is more adequate for comparing models than just per se. The value of the statistic is reported
here for information purposes. It was used for comparison between models.

Implicit to the model presented, is the hypothesis that channel usage is influenced by
two groups of variables: a cognitive group of predictors and an affective group of predictors.
The final model for branch channel usage only included cognitive predictors: perceived
service quality, tangibles, and perceived communication efforts, supporting H7 and H8. No
affective variable was present in the final solution (H1, H2, H3 and H4 were not supported).
Perceived service quality of the ‘tangibles’ dimension only emerged as a significant influence
for the branch channel’s usage. The branch is the delivery channel where the physical,

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