Table 1

Factor loadings, CR and AVE for constructs in a measurement model

VariableFactor loadingCRAVE
Negative WOM 0.9360.786
I intend to say negative things about “my bank” to friends and relatives0.844  
I intend to recommend to my friends and relatives that they not use products of “my bank”0.941  
I intend to discredit “my bank” to my friends and relatives0.825  
I intend to suggest to my friends and relatives not to buy the products of “my bank”0.930  
Blame 0.9340.824
“My bank” is to blame for the difficulties of Swiss franc borrowers0.935  
The difficult situation of Swiss franc borrowers is entirely the fault of “my bank”0.925  
To what extent is “your bank” responsible for the difficulties of Swiss franc borrowers?0.862  
Market-driven attributions (CHF mortgage loans were offered because…) 0.8670.635
banks wanted to achieve better financial performance0.416  
banks wanted to become more competitive0.898  
banks wanted to gain an edge over competitors0.894  
banks wanted to improve their competitive position0.872  
Unethicality-driven attributions (CHF mortgage loans were offered because…) 0.9040.760
ethical issues were treated as irrelevant in banks0.829  
banks permitted for unethical behaviour0.941  
banks had an unethical organisational culture0.841  
Difficulty-driven attributions (CHF mortgage loans were offered because…) 0.9510.867
banks were in a difficult situation0.942  
banks wanted to defend themselves against difficulties0.930  
difficult situation must have prompted banks to do it0.921  
Rogue employee-driven attributions (CHF mortgage loans were offered because…) 0.9630.868
some employees in banks were greedy0.908  
some employees in banks acted unethically0.945  
some employees in banks acted dishonestly0.947  
some employees in banks were immoral0.926  
Irresponsibility appraisal (Offering mortgage loans in CHF was…) 0.9260.758
unfair0.877  
harmful0.863  
dishonest0.890  
disloyal0.851  

Notes:

CR = composite reliability; AVE = average variance extracted

Source: Own research

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