Simultaneously, these results, by the similar application of the attribute analysis table based on the Kano
model (Table 4), could identify the attribute weights assigned by the single expert to each customer
requirement as attractive: 0 + 0.15 + 0.15 = 0.3, one-dimensional = 0.2, must-be = 0.16, reverse = 0, and
indifferent = 0.12. Because of the a = 0.3, the automate the change management procedure of this expert
belong to the attractive. Finally, the results of each expert questionnaire were statistically analyzed.
Thirty-four experts were selected. Attractive, fifteen were classified as one-dimensional, and one belonged
to must-be. customer requirements thus were considered attractive. We have excluded quality elements that
are indifferent, reverse and questionable. We find that 15 of the 50 customer requirements selected as the most
significant factors were related to customer satisfaction. In 15 service quality elements, there are six that are
must-be, seven that are one-dimensional and two that are attractive.