Table A6.

A confirmatory factor analysis (CFA) was used to assess the psychometric properties of all included latent variables’ measures. The proposed measurement model fitted the data well (χ2 = 34.48, df =21, χ2/df =1.642, RMSEA = 0.033, CFI = 0.996, SRMR = 0.017). Both validity and reliability were also established as indicated by (a) high Cronbach’s alpha coefficients (ranging from 0.814–0.904), (b) satisfactory standardized loadings (ranging from 0.814–0.929) and (c) appropriate composite reliabilities (ranging from 0.818–0.905), as well as good average variance extracted values (AVE) (ranging from 0.692–0.826), exceeding the conventional thresholds. Furthermore, the data supported discriminant validity as the AVE values largely exceeded the corresponding squared correlations of the construct pairings (Fornell and Larcker, 1981). the following table provides a summary of the items’ psychometric properties

Constructs/measurement itemsStandardized factor loading
Brand betrayal (BET) – based onGrégoire and Fisher (2008), α = 0.901, CR = 0.901, AVE = 0.820
I feel betrayed by the smartphone brand0.911***
I feel cheated by the smartphone brand0.900***
Brand shame (SHA) – based onHarder and Zalma (1990), α = 0.814, CR = 0.818, AVE = 0.692
I feel ashamed because of buying this smartphone brand0.829***
I feel embarrassed after purchasing this smartphone brand0.835***
Desire for retaliation (RET) – based onGrégoire and Fisher (2006), α = 0.881, CR = 0.882, AVE = 0.714
I have the desire to do something bad to the smartphone brand0.814***
I want to punish the smartphone brand in some way0.853***
I want to cause inconvenience to the smartphone brand0.867***
Negative word-of-mouth (NWOM) – based onGrégoire and Fisher (2006), α = 0.904, CR = 0.905, AVE = 0.826
I will spread negative word of mouth about this smartphone brand0.888***
I will badmouth this smartphone brand to my friends0.929***
Note(s):

All items were measured on seven-point scales, anchored at 1 = “I strongly disagree” and 7 = “I strongly agree”. α: Cronbach’s alpha; CR: composite reliability; AVE: average variance extracted. ***p <0.001

Source(s): Authors’ own work

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