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Index of Paper Presentations for the Parallel Sessions - Academy of ...

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students were recruited from various classes enrolled in <strong>the</strong> business administration course at a large IndianUniversity. The respondents were randomly assigned to one <strong>of</strong> <strong>the</strong> four experimental conditions and <strong>the</strong> data wascollected over a period <strong>of</strong> four days. Of <strong>the</strong> participants 58.5% were male and 86% <strong>of</strong> total participants were agedbetween 18 and 24. Having read <strong>the</strong> reputation scenario, <strong>the</strong> participants were asked to respond to questions on how<strong>the</strong>y would cope with <strong>the</strong> given situation. The sample scenarios are presented in Appendix I.MeasuresThe manipulation check questions on severity and brand reputation were measured on a 10-point Likert scale.Coping strategies was measured using an eight-factor coping model proposed by Duhachek (2005).A total <strong>of</strong> 36items were used to measure <strong>the</strong> eight dimensions <strong>of</strong> coping. Sample items included ―concentrate on ways to solve<strong>the</strong> problem (action-based coping)‖ and ―let me feelings out some way (emotional venting).‖ The responses werecollected on a 7-point Likert scale. Exploratory factor analysis (EFA) with varimax rotation conducted on <strong>the</strong> copingscale extracted an 8-factor structure solution which explained 69.4 % <strong>of</strong> <strong>the</strong> variance. Subsequently, confirmatoryfactor analysis was carried out to assess <strong>the</strong> reliability, convergent validity, and discriminant validity <strong>of</strong> <strong>the</strong> eightcoping dimensions. The results <strong>of</strong> <strong>the</strong> reliability analysis (Cronbach‘s alpha ranging from 0.72 to 0.92), convergentvalidity (item-factor loading from 0.64 to 0.93 and average variance extracted ranging from 0.54 to 0.85) anddiscriminant validity (AVEs more than squared variance <strong>for</strong> all constructs) suggested an acceptable psychometricproperties <strong>of</strong> <strong>the</strong> constructs.[Insert Table I and Table II here]RESULTSManipulation checksThe severity ratings <strong>for</strong> service failure was significantly higher in <strong>the</strong> high severe failure condition (M = 8.98) thanin low severe failure counterpart (M = 6.64), t = -12.83, p

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