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Research Journal of the University of Ruhuna, Sri Lanka- Rohana 13, 2021

               distributed,  only  371  could  be  used  in  the  analysis  due  to  the  incompleteness  of

               some  of  the  responses.  The  sample  was  selected  using  non-random  sampling

               methods.



                                                Percived
                                                Complaint
                                                Resolution
                     Physical                   Satisfaction
                     Easiness to                                           Attitudinal
                     Complain                                              Loyalty



                                                                           Behavioural
                    Cognitive                                              Loyalty
                    Easiness to
                    Complain


                                                  Brand Image




               Figure 1: Conceptual Framework


               The  questionnaire  included  23  closed-ended  Likert  scale  questions  which  were
               aimed at  measuring 6 variables, namely, physical  easiness to  complain, cognitive

               easiness  to  complain,  complaint  process  satisfaction,  brand  image,  attitudinal

               loyalty,  and  behavioral  loyalty.  Figure  1  graphically  illustrates  the  proposed
               relationship  among  the  above  variables.  Moreover,  Table  1  provides  more

               information on the operationalization of constructs.


               These questions were formed as attitudinal statements and were measured on a five-

               point  scale  which  ranged  from  strongly  agree  (5)  to  strongly  disagree  (1).  The
               midpoint  of  the  scale  was  anchored  at  3  (neither  agree  nor  disagree).  The

               questionnaire was developed in English and then was back-translated to Sinhala, by
               an expert in order to increase the validity of the data.







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