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Quality, value, satisfaction, trust, a

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epresent higher tolerance of incompatibility while higher marginal means<br />

represent lower tolerance. All results were in expected direction. Data supports<br />

all seven hypotheses. Means for good and bad mood (2.63 and 3.70<br />

respectively) provide strong support for hypothesis 1. The range of marginal<br />

means (the difference between means for two levels) signifies the relative<br />

intensity of the impact of design factors on response variable. Larger is the<br />

range, higher is the impact. Range for mood is the third highest among the six<br />

factors. Data also provide strong support for hypothesis 2, where marginal means<br />

for expectation of incompatibility and no expectation were 2.58 and 3.78 and had<br />

the second highest range (1.20). Hypotheses 3 about the impact of perception of<br />

control on activity received only moderate support (3.38 and 2.97 for perception<br />

of control over activities and no control respectively with a small range of 0.41).<br />

Hypothesis 4 received the strongest support (2.55 and 3.80 for control and no<br />

control over outcome with a range of 1.25). Hypotheses 5 and 6 received<br />

moderate support (2.92 and 3.43 for open to change and conservative<br />

orientations with a small range of 0.48). Similarly hypothesis 7 was also<br />

supported moderately with means of 2.90 and 3.46 for low and high involvement<br />

with a range of 0.56.<br />

Place table 1 about here<br />

Factorial analysis of variance was conducted to investigate the impact of<br />

main and interaction effects on reaction to customer incompatibility. Model seems<br />

to fit the data well (Adjusted R 2 =0 .893). ANOVA results presented in table 2,<br />

showed a significant effects for control over outcome (F = 322, p

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