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find out the optimal combination of controllable and uncontrollable factors would<br />

minimize the negative impact of uncontrollable factors on reaction to<br />

incompatible situations.<br />

For understanding main and interaction effects, a<br />

6 2<br />

2 − fractional factorial<br />

iv<br />

design with sixteen treatments, as shown in figure 1, was used to create service<br />

scenarios or profiles for understanding the impact of antecedents on reaction<br />

towards customer incompatibility. Since it was a resolution four design, no main<br />

effect was confounded with first order interactions. This means that not only main<br />

effect estimates were clean but we could also calculate some of the first order<br />

interactions rather cleanly.<br />

---------------------------------------------------------------------------------------------------<br />

Place Figure 1 about here<br />

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Three hundred and twenty respondents self administered 27 item<br />

Schwartz <strong>value</strong> system questionnaire for measuring conservative versus<br />

openness to change orientation. Based on the results of the survey, respondents<br />

were segregated into two groups of conservative and open to change. Following<br />

Weyant (1978), mood of each group was manipulated through false feedback.<br />

Half of the respondents in each group were given two different types of anagrams<br />

to be solved. Anagrams are the words, from whose alphabet another word can<br />

be created. One set of respondents in each group was handed anagrams which<br />

were supposed to easier to solve while the other group got a difficult set. Each<br />

anagram test contained 25 questions. Subjects were given 15 minutes to<br />

complete as many anagrams as possible. After the end of 15 minutes<br />

respondents read the false statistics about the tests. Respondents in the groups<br />

that received easy anagrams were told that they had done exceedingly bad and<br />

292

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